Highlights d Endometrial epithelium self-renews throughout life d Axin2 marks long-lived bipotent stem cells residing at the base of glands d Axin2 + cells fuel endometrial epithelial growth and regeneration d Mutant Axin2 + cells lead to endometrial carcinogenesis
The tremendous growth in the transportation sector as a result of changes in our ways of transport and a rise in the level of prosperity was reflected directly by the intensification of energy needs. Thus, electric vehicles (EV) have been produced to minimise the energy consumption of conventional vehicles. Although the EV motor is more efficient than the internal combustion engine, the well to wheel (WTW) efficiency should be investigated in terms of determining the overall energy efficiency. In simple words, this study will try to answer the basic question – is the electric car really energy efficient compared with ICE-powered vehicles? This study investigates the WTW efficiency of conventional internal combustion engine vehicles ICEVs (gasoline, diesel), compressed natural gas vehicles (CNGV) and EVs. The results show that power plant efficiency has a significant consequence on WTW efficiency. The total WTW efficiency of gasoline ICEV ranges between 11–27 %, diesel ICEV ranges from 25 % to 37 % and CNGV ranges from 12 % to 22 %. The EV fed by a natural gas power plant shows the highest WTW efficiency which ranges from 13 % to 31 %. While the EV supplied by coal-fired and diesel power plants have approximately the same WTW efficiency ranging between 13 % to 27 % and 12 % to 25 %, respectively. If renewable energy is used, the losses will drop significantly and the overall efficiency for electric cars will be around 40–70% depending on the source and the location of the renewable energy systems.
Building energy assessment software/programs use various assumptions and types of thermal comfort models to forecast energy consumption. This paper compares the results of using two major thermal comfort models (adaptive thermal comfort and the predicted mean vote (PMV) adjusted by the expectancy factor) to examine their influence on the prediction of the energy consumption for several full-scale housing experimental modules constructed on the campus of the University of Newcastle, Australia. Four test modules integrating a variety of walling types (insulated cavity brick (InsCB), cavity brick (CB), insulated reverse brick veneer (InsRBV), and insulated brick veneer (InsBV)) were used for comparing the time necessary for cooling and heating to maintain internal thermal comfort for both models. This research paper exhibits the benefits of adopting the adaptive thermal model for building structures. It shows the effectiveness of this model in helping to reduce energy consumption, increasing the thermal comfort level for the buildings, and therefore reducing greenhouse emissions.
Building design is important for saving energy and reducing GHG emissions by applying passive solar heating and cooling design principles and using the right materials and appropriate design tools. This will make the home healthier and more comfortable. The design of energy efficient and sustainable buildings is critical for the future. A key aspect of any design is the realistic and accurate prediction of the performance of the building under a wide range of weather conditions. This paper examines the effect of different climate zones in Australia (which are comparable to the world's major climates) on the thermal performance of a complete building and recommended design techniques to suit each climate zone to enhance the overall thermal performance. To examine the effect of the location (different climates) on the overall thermal performance and how a good design in one location may not be suitable at another location, AccuRate will be used to assess the thermal performance for the exact module in different climates zones to allow a fair comparison to find the appropriate design for the climate where the building is located. Also, in this research, each climate zone design requirements and techniques were addressed for various climate variables (including: solar radiation, rainfall, wind speed and direction and humidity) to design sustainable building which save great amount of energy while sustaining occupants thermal comfort.
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