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Canisters are used to store liquids such as oil, paint, liquefied glue, and so on. When a customer buys a canister of liquid, they expect the contents to be in pristine condition. The contents of the canister may become defective due to errors in manufacture, transportation, or unfavourable climatic conditions, and the unsuspecting client discovers this after breaking the seal. The vendor will not take the defective goods back after the seal has been broken. One such process that can be used to determine that the products in the canisters are in usable condition is non-destructive testing using ultrasonics. In this method, a transducer is used, which has a transmitter and a receiver. The transmitter is placed on one side of the canister, and the receiver is placed exactly opposite on the other side. Using this, the time taken for the waves to propagate from emitter to receiver (time of flight) is noted and compared with that of standard values. This process allows us to determine whether the contents of the canisters are in good condition or not. The measurements are carried out at three different locations, i.e., the top, middle, and bottom of the canister, and time of flight (TOF) values are recorded. If the content inside the canister is in a liquid state, the TOF is observed at about 54±0.5 microseconds. Due to poor weather conditions, mismanufacturing, or mishandling in transportation, if the canister’s contents have any air pockets, then the contents react and solidify. For this case, the TOF is about 40 ±0.5 microseconds only. A difference of 14 microseconds was observed when the content of the canister changed from liquid sate to solid. This allows us to determine the contents of the canister, without opening the seal.

This paper explores empirically the relationship between the development of Islamic finance system and economic growth and its direction in Qatar. Using econometric analysis, annually time-series data of economic growth and Islamic banks’ financing from 1990 to 2008 were used. We use Islamic banks’ financing funds given by Islamic banks as a proxy for the development of Islamic finance system and Gross Domestic Product (GDP), and Gross Fixed Capital Formation (GFCF) as proxies for real economic growth. For the analysis, the unit root test, cointegration test and Granger causality tests were done. The empirical results generally signify that in the long run, Islamic banks’ financing is positive and significantly correlated with economic growth in Qatar which reinforces the idea that a well-functioning banking system promotes economic growth. Furthermore, the results show that Islamic banks’ financing has contributed to the increase of investment in the long term and in a positive way in Qatar. It is one of the first pioneering studies on Islamic Banking and economic growth in Qatar, and the first to be conducted in Middle East as well, thus it has a significant contribution to the body of knowledge The findings of research will be of interest to western and Islamic finance practitioners, policy makers and academicians, who are interested in Islamic finance industry.

The IoT-Enabled Smart Cabin for People with Disabilities project aims to improve the living experience for individuals with mobility and sensory challenges. By using the Internet of Things (IoT), the project creates an intelligent living space that adapts to the unique needs of people with disabilities, enhancing their independence, safety, and overall quality of life. The smart cabin uses a network of sensors to monitor the environment and automatically adjust lighting, temperature, and other conditions to meet residents’ preferences. Customizable living spaces with adaptable furniture and infrastructure allow residents to tailor their environment to their specific needs. User-friendly communication interfaces ensure easy interaction within the cabin and with the outside world. Additionally, the system uploads data to the cloud for efficient monitoring and management. This project represents a major step toward creating inclusive and accessible living environments, empowering individuals with disabilities and promoting universal design principles.

This paper critically examines the trajectory of agricultural development in the BRICS countries post-1947, particularly focusing on the epochal impact of the Green Revolution and its associated disruptions. By delving into the transformation of the agriculture of the BRICS countries, this study explores the ramifications of food sufficiency, sustainable agricultural practices, and the persistent issue of hunger within the countries. The analysis encompasses an evaluation of the Green Revolution's multifaceted effects on agricultural productivity, socio-economic dynamics, and environmental sustainability. In recent years, the international status of agriculture in the BRICS countries has been constantly improving. In 2022, the gross agricultural production of the BRICS countries accounted for more than 50% of the global volume. Further strengthening of the developing cooperation among the BRICS countries is of great importance for ensuring global food security. The researchers examined the agricultural sector of the BRICS countries and also identified the main problems characteristic of the agricultural sector of these countries. The solution to the complex of agricultural problems of the BRICS countries became possible thanks to the Green Revolution, which, however, had a negative impact on the environmental situation. It is hypothesized that sustainable agriculture and food sufficiency can reduce the negative impact on the environment but are not able to solve the problem of hunger shortly. The ranking of some BRICS countries in the Global Hunger Index is worrying, and cross-integration and national programs will only work if there is integration between sustainable agriculture, food sufficiency, and distribution.

Obesity is a problem that affects the general health and wellness of many people around the world. The paper seeks to provide an automated individualised dietary and exercise suggestions based on an individual’s obesity class. The system classifies the user’s level of obesity using Artificial Neural Networks (ANN), Support Vector Machines (SVM), and random forest machine learning algorithms. To provide appropriate food and activity procedures in accordance with the classification of obesity, we use machine learning techniques like decision trees and recommendation algorithms.

We updated the evidence-based recommendations for the diagnosis, assessment, prevention, and treatment of hypertension in adults for 2011. The major guideline changes this year are: (1) a recommendation was made for using comparative risk analogies when communicating a patient's cardiovascular risk; (2) diagnostic testing issues for renal artery stenosis were discussed; (3) recommendations were added for the management of hypertension during the acute phase of stroke; (4) people with hypertension and diabetes are now considered high risk for cardiovascular events if they have elevated urinary albumin excretion, overt kidney disease, cardiovascular disease, or the presence of other cardiovascular risk factors; (5) the combination of an angiotensin-converting enzyme (ACE) inhibitor and a dihydropyridine calcium channel blocker (CCB) is preferred over the combination of an ACE inhibitor and a thiazide diuretic in persons with diabetes and hypertension; and (6) a recommendation was made to coordinate with pharmacists to improve antihypertensive medication adherence. We also discussed the recent analyses that examined the association between angiotensin II receptor blockers (ARBs) and cancer., (Copyright © 2011 Canadian Cardiovascular Society. Published by Elsevier Inc. All rights reserved.)