Volume 9 | Issue 8 |

 Abstract

Title: A study to assess the effectiveness of structured teaching programme on knowledge of mothers regarding behavioural problems among pre-schoolers in Anganwadi centres of district Ganderbal, Kashmir. Objectives: To assess the effectiveness of structured teaching programme on knowledge of mothers regarding behavioural problems among preschoolers. Materials and Methods: A Quantitative approach with one group pre-test and post-test pre-experimental design was used. With the purposive sampling 50 study participants were selected. Tool used in this study included two sections, Section-I including demographic Performa of mothers such as age, occupation, education, monthly income, type of family and number of children. Section-II including Structured Interview schedule consisted of 40 items/questions. It was further divided into six parts to assess the knowledge of mothers regarding behavioural problems among preschoolers such as temper tantrum, thumb sucking, pica, bed-wetting and school phobia. STP was administered after conducting pre-test and post-test was conducted on 7th day of intervention. Data was analyzed by using descriptive and inferential statistical technique. Result: The data analysis revealed that majority of the study subjects 56% had moderate knowledge in post-test whereas in pre-test majority of study subjects 88% had inadequate knowledge. Conclusion: The study concluded that the structured teaching programme(STP) was effective in increasing the knowledge of mothers regarding behavioural problems among preschoolers.

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 Keywords

Effectiveness, STP, Knowledge, Preschooler, Behavioural Problem.

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 Abstract

Embedded systems help humans to live a convenient life. Most of the devices employed are altered to work smart for the requirements of humans. Embedded systems are most popularly used in the field of electronics, aviation, communication, health care, home appliances, and many more. With the increasing use of the embedded system devices in our day-to-day lives, security threats have also risen at a corresponding rate. However, assuring security in the embedded systems has become an extreme challenge for the embedded device professionals and the manufacturers of products. Security is always becoming a huge concern to the embedded system due to its drawbacks like power constraint, processing power, and cost. The latest trend of integrating the embedded systems with the internet introduces various vulnerabilities and exposes the attack surface of the embedded system. Incorporating networking capabilities may raise multiple attacks such as packet injection, Man In The Middle (MITM) attacks, and replay attacks. Hence, the security of these systems is very crucial to the sellers and consumers. Internet of Things (IoT) technology helps humans to live a life with quality and comfort. IoT has contributed significantly to various application areas. The extensive development of smart electronic devices and their data transmission protocol using wireless mechanics boost their vulnerability to various cybercrime and attacks. Consequently, the rate of cybercrime is rising every day. Hence, the study of embedded and IoT system security threats and respective counteractive measures can benefit security researchers in identifying proper solutions to face the enormous challenges in cybercrime investigation. IoT forensics plays a vital role in the investigation of cybercrimes. Numerous security issues at each layer in the embedded systems and internet of things (IoT) are also discussed briefly. In this paper, the vulnerabilities and threats present in the embedded systems and internet of things (IoT) are discussed, along with the countermeasures for mitigating those attacks.

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 Keywords

Embedded systems, Internet of Things (IoT), Cybercrime, Cyberattack, Security Threats, Countermeasures.

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 Abstract

The increasing usage of digitally enabled frames and the Internet of Things has resulted in a wealth of knowledge and a diversity of structures. The environment or document frameworks presented by Hadoop are utilised in most enormous data arrangements (HDFS). In any case, the reflectors showed weaknesses in such frameworks in the maintenance of current data. While some research has resolved these concerns for explicit diagram data variants, existing data are based on reasonable data. Studies show that productivity concerns lead to significant scope problems, such as increased space in server farms and waste in assets (such as the use of force), leading to ecological problems (such as more fuel byproduct) [1]. We propose a Hadoop Eco-Focus module that is information-rich. Also, we propose a genetic algorithm encoding strategy that uses circulating encoding. Our architecture enables Hadoop to manage data distribution and organization, as well as conduct group analysis on subsets of data. Even when improvement time and use of assets are involved, we can manage a wide range of data types. We have tested our assumptions on a number of LUBM datasets.

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 Keywords

Strategies for clustering, Distributed computing, Information Management and Management, Optimization and Scalability

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The extreme flexibility of digital imaging supports a wide range of linear and non-linear processes. The results of this processing are displayed as visualization, intensity and geometric processing, spatial frequency processing, and image analysis. Briefly explained how to perform image processing effectively. Vision is an important source of human information. It was impossible before, but because of the development of new technologies, it has become possible. The image processing also affects communication equipment. Through digital image processing, we can enhance the image, extract text from the image, define the edges of the image, and apply other effects. There are many digital imaging applications. In practice, this method is used in all fields, including investigations in medicine, robotics, neural networks, and criminal industries.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Digital, Image, Information, Process, Technology, Recognition

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 Abstract

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Religion biological

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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GST, International Trade, Export, Import, Economic Growth.

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The relationship between low socio economic status and high prevalence of mental health problems has been established by volumes of research studies. Low socio economic status (SES) and poverty create severe stresses which ultimately lead to psychological disorders such as anxiety, depression and many other psychopathologies. Anxiety in the face of stress situations in comparison to the normal one lead to panic or severe fear, excessive sweating , rapid heartbeat , dryness of mouth and frequent urination. It is found that adolescents as a group are more vulnerable to anxiety as they pass through lots of changes both physically and mentally. In the present study hundred participants both from high and low SES group were selected randomly. They were matched on the basis of socio economic status, age and years of education. Their anxiety scores and academic achievement scores were compared by using various statistical tools. It was found from the study that adolescents belong to low SES status suffers from more anxiety and it ultimately affected their academic performance. On the contrary adolescent students from the high SES status group experienced less anxiety and their academic performances were better than their low SES counterparts. Results were compared both qualitatively and quantitatively.

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 Keywords

Relationship, low socio economic status, prevalence of mental health, poverty , severe stresses ,psychological disorders, anxiety, depression ,psychopathologies,severe fear, excessive sweating , rapid heartbeat , dryness of mouth and frequent urination., changes both physically and mentally. academic performance.

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Creative Commons Attribution 4.0 and The Open Definition

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In the medical field, medical image fusion plays an important role in diagnosis of brain tumors that may be classified as malignant or benign. To cut back uncertainty and minimize redundancy whereas extracting all the helpful info from the supply pictures, it's the method of grouping multiple pictures of the identical scene into one united image. SVM is employed to fuse 2 totally different visions brain tomography pictures. The image united is going to be a lot more informative than the pictures from the supply. The image united allows us to extract the characteristics of texture and wavelet. Based on supported trained and tested options, the SVM Classifier classifies brain tumors. The planned technique achieved sensitivity of 80.48 percent, accuracy of 99.69 percent and specificity of 99.9 percent. Experimental results obtained from the fusion method show that the utilization of the planned approach to image fusion shows higher performance compared to standard fusion methodologies.

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 Keywords

Brain Tumor, Segmentation, Classification, Image Fusion, Magnetic Resonance Imaging.

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 Abstract

Series of events that take place in the genital organ to expel out the product of conception through vagina in to the outer world is called labor. First stage of labor starts from the onset of true labor pain and ends with full dilatation of the cervix. Second stage of labor starts from the full dilatation of the cervix and ends with expulsion of the fetus from the birth canal. Third stage begins after expulsion of the fetus ands with expulsion of the placenta and membranes. Fourth stage of labor is the observation for one hour after expulsion of the after births. During this period maternal vitals, uterine retraction and vaginal bleeding are monitored

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 Keywords

labor, expulsion, stage, fetus, cervix, dilatation

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Creative Commons Attribution 4.0 and The Open Definition