348,747 research outputs found
Microstructure and strength modelling of Al-Cu-Mg alloys during non-isothermal treatments: part 1 – controlled heating and cooling
No full textA model is developed to predict the precipitation kinetics and strengthening in Al Cu Mg alloys during non-isothermal treatments consisting of controlled heating and cooling. The prediction of the precipitation kinetics is based on the Kampmann and Wagner model. The precipitation strengthening by the shearable Cu:Mg co clusters is modelled on the basis of the modulus strengthening mechanism and the strengthening by the non-shearable S phase precipitates is based on the Orowan looping mechanism. The model predictions are verified by comparing with hardness, transmission electron microscopy and differential scanning calorimetry data on 2024-T351 aluminium alloys. The microstructural development and strength predictions of the model are generally in close agreement with the experimental data
Khan Academy: Right triangles and trigonometry
No full textThe Khan Academy's variegated lessons can serve as a supplement to more traditional, face-to-face math instruction, providing students with helpful resources to tackle everything from basic to complex math. This comprehensive treatment of right triangles and trigonometry offers a balanced overview of a range of topics, starting with the Pythagorean Theorem and progressing through special right triangles, trigonometric ratios, modeling with right triangles, sine, cosine, and more. Each lesson is posted on a virtual video blackboard and questions and answers at the bottom of the screen encapsulate some of the most pressing and common difficulties that students may run into while learning these particular subjects
The effect of Aluminium on Deformation by twinning in Alpha Titanium
No full textThe deformation behaviour of binary Ti-Al model alloys (0-6wt% Al) with a ring texture has been observed in respect to nucleation and growth of twins, specifically 10-12-tensile twins. The fraction of these 85 ̊ tensile twins after 9% compression decreases slightly from commercially pure Ti (CP-Ti) to Ti-4Al but it reduces significantly in Ti-6Al. An increase in the activity of 11-21-tensile twins can be observed as soon as 2wt% Al are added to CP-Ti. The tensile lattice strain along c-axis to nucleate 85 ̊ twins shows a non linear trend with the Al content and suggest superimposed effects of stacking fault energy (SFE) and short range ordering (SRO)
The effect of Aluminium on Deformation by twinning in Alpha Titanium
No full textThe deformation behaviour of binary Ti-Al model alloys (0-6wt% Al) with a ring texture has been observed in respect to nucleation and growth of twins, specifically 10-12-tensile twins. The fraction of these 85 ̊ tensile twins after 9% compression decreases slightly from commercially pure Ti (CP-Ti) to Ti-4Al but it reduces significantly in Ti-6Al. An increase in the activity of 11-21-tensile twins can be observed as soon as 2wt% Al are added to CP-Ti. The tensile lattice strain along c-axis to nucleate 85 ̊ twins shows a non linear trend with the Al content and suggest superimposed effects of stacking fault energy (SFE) and short range ordering (SRO)
The Aga Khan Health Services - International Newsletter No. 40
No full textFood-Based Oral Rehydration Therapy —New Hope to Combat Child Killer Aga Khan University Graduates Forty-Two Doctors Midwives Graduate from Aga Khan Maternity Homes in Karachi Health Week Sixty-one Nurses to Strengthen Health Care in Pakistan Giving is a Joy Dedication of Volunteers Recognised Saying It with Flowers Kausar S. Khan —Striving for Self-Sustained Community Development The Role of Mohtasib in Public Health Inter-Regional Meeting on City Health —The Challenge of Social Justice New Dean at Aga Khan University Challenges Aga Khan University Medical College Doctors Have to Face Memories of the University Will Always Remainhttps://ecommons.aku.edu/akuh_newsletter/1046/thumbnail.jp
Smoker Detection Dataset
No full textThe dataset contains 1120 images divided equally into two classes, where 560 images are of Smoking (smokers) and remaining 560 images belong to NotSmoking (non-smokers) class. The dataset is curated by scanning through various search engines by entering multiple keywords that include cigarette smoking, smoker, person, coughing, taking inhaler, person on the phone, drinking water etc. We tried to consider versatile images in both classes for creating a certain degree of inter-class confusion in order to better train the model. For instance, Smoking class contains images of smokers from multiple angles and various gestures. Moreover, the images in NotSmoking class consists of images of non-smokers with slightly similar gestures as that of smoking images such as people drinking water, using inhaler, holding the mobile phone, coughing etc. The dataset can be used by the prospective researchers to propose deep learning algorithms for automated detection and screening of smoker towards ensuring the green environment and performing surveillance in smart cities. All images in the dataset are preprocessed and resized to a resolution of 250×250. We considered 80% of the data for training and validation purposes and 20% for the testing.Please cite this article if you use this dataset in your research:A. Khan, S. Khan, B. Hassan, and Z. Zheng, “CNN-Based Smoker Classification and Detection in Smart City Application,” Sensors, vol. 22, no. 3, pp. 892, 2022
Economics of nuclear power plants
No full textThis chapter starts by explaining the difference between commonly used terminology associated with cost, price, and value. Cost is a key nonfunctional requirement for a Nuclear Power Plant (NPP) project and should be considered as part of the decision-making process across all lifecycle phases. Lifecycle cost estimating is commonly used to compare the commercial case of the proposed project with other projects that are competing for the same resources. The Levelized Cost of Electricity (LCOE) is the most commonly applied metric to lifecycle cost assessment for power generation, especially from a policy perspective. This approach to comparing the investment criteria for different power generation technologies is under scrutiny for its applicability in different market conditions. The system LCOE is introduced as a way of incorporating external factors beyond the project level that may influence the investment decision making of key stakeholders. The cost drivers based on the experience of constructing large NPPs are a key consideration that has led to the value proposition of Small Modular Reactors (SMRs). Manageable construction cost, schedule certainty and reduction, and the lower upfront cost expected for SMRs are key attributes. There are several commercial challenges, which SMRs will have to overcome before governments, owners, and operators will invest in the technology. They will have to prove to the market that modularization will lead to reductions in First of a Kind (FOAK) costs, such that learning will lower the cost of Nth of a Kind (NOAK) SMRs. In addition, the reduced capacity of SMRs is likely to lead to a shift in cost drivers away from the Capital to Operations and Maintenance costs. The fixed costs for operating an SMR do not scale down with capacity size, and so the margin between operating cost and revenue for an SMR is less than that of a large NPP. SMRs will, therefore, need to prove that the reduction in construction risks associated with NPPs (related to time and cost overruns) will mitigate the loss in operating revenue, thereby making the SMR attractive to investors. Both the estimator and the customer for the estimate must have a common understanding of the expected quality of the estimate in order to make the right commercial decisions for the organization. The challenges associated with producing a good quality estimate are interrelated. The availability of data will influence the estimating method used and the ability to validate estimates. The purpose of the estimate, presentation of cost information, and cost uncertainty analysis are key elements that influence how the estimate is interpreted by the decision maker. Ultimately cost estimates form a key element of a decision-support system. A good quality estimate is required to support investors in NPP projects to make the right decision
The Aga Khan Health Services - International Newsletter No. 25
No full textResults of Kisumu PHC Efforts Visible in Kenyan Villages Goitre Prevention Campaign in Chitral — A Success Story Two More Health Manuals Published Health Festival to Celebrate Two Decades of Service by Aga Khan Hospital in Dar-es-Salaam George P. Purvis lll — Challenges in Developing A Multi-Hospital System Vur Project in Pakistan Approved 30,000 School Children Screened for Dental Defects U.K. Funds English Language Programme at Aga Khan University Gandhara Goitre By Dr. Timothy S. Harrison London Workshop Affirms Support for Community Health Services in Developing Countries Hospitals in the Muslim Near East A Historical Overview The Aga Khan in Pakistan Sowing Seeds on Thin Soil New Med School The New Aga Khan Medical School Allots Twice as Much of its Budget as U.S. Schools to Rural Health Care Programmes Restoring Pakistan\u27s Health Care Balance— Community Programmes Get Doctors to Poor A Day at The Aga Khan University’s Medical Collegehttps://ecommons.aku.edu/akuh_newsletter/1074/thumbnail.jp
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