Exploration Robot Controlled by an Android Application

Exploration Robot Controlled by an Android Application (ERCAA), University of Palestine Faculty of Information TechnologyIn recent years, with the pace of technological development, people have become more and more demanding in terms of quality of life. At the same time, there is an increasing need for bringing and merging new ideas of technology to create new products. That need is stemming out of the big curiosity of people to try new technologies that helps and entertain them in their daily life. A robot is usually an electro-mechanical machine that is guided by computer and electronic programming. Many robots have been built for manufacturing purpose and can be found in factories around the world. We have designed ROBOT which can be controlled using an APP of android mobile. This Robot is provided with Camera on it to empowers user to explore. We have developed the remote buttons in the android app by which we can control the robot motion and the Camera View with them. And in which we use Wi-Fi communication to interface controller and android. Controller can be interfaced to the Wi-Fi module. According to commands received from android the robot motion can be controlled. Robot can be reprogrammable and tooling can be interchanged to provide for multiple applications according to the Arduino Chip we use. We have used the Android, C, HTML Programming Languages to develop each of the Application and the Hardware components and electronic Chips. Following, is the test analysis section, which discusses whether the proposed system met its objectives. Performance is also evaluated near the end of the paper along with possible extensions of the system

Triglyceride-Glucose Index for Early Prediction of Nonalcoholic Fatty Liver Disease: A Meta-Analysis of 121,975 Individuals

Insulin resistance (IR) is a major contributor to the pathogenesis of nonalcoholic fatty liver disease (NAFLD). The triglyceride-glucose (TyG) index has recently gained popularity for the assessment of IR and NAFLD due to its ease of acquisition and calculation. Therefore, we conducted this systematic review and meta-analysis to summarize the existing studies in the literature and provide a quantitative assessment of the significance of the TyG index in predicting the incidence of NAFLD. A comprehensive literature search in PubMed, EMBASE, and Web of Science databases from inception until 25 March 2022 was conducted. Published observational studies that evaluated the association between TyG index and NAFLD among the adult population and reported the hazard ratio (HR) or odds ratio (OR) for this association after multivariate analysis were included. The random-effects model was used as the primary statistical analysis model in the estimation of pooled ORs and HRs with the corresponding confidence intervals (CIs). A total of 17 observational studies, including 121,975 participants, were included. For studies analyzing the TyG index as a categorical variable, both pooled OR (6.00, CI 4.12–8.74) and HR (1.70, CI 1.28–2.27) were significant for the association between TyG index and incident NAFLD. For studies analyzing the TyG index as a continuous variable, pooled OR (2.25, CI 1.66–3.04) showed similar results. Consistent results were obtained in subgroup analyses according to the study design, sample size, ethnicity, and diabetic status. In conclusion, our meta-analysis demonstrates that a higher TyG index is associated with higher odds of NAFLD. TyG index may serve as an independent predictive tool to screen patients at high risk of NAFLD in clinical practice, especially in primary care settings. Patients with a high TyG index should be referred for a liver ultrasound and start intense lifestyle modifications. However, further large-scale prospective cohort studies are necessary to validate our findings