Deicer salt-scaling resistance of concrete using recycled concrete aggregates pretreated by silica fume slurry

Highlights: - Salt-scaling resistance in the presence of recycled concrete aggregates, - A strong bond between RCAs and new mortar was obtained after a freeze-thaw test, - Pulse velocity after exposure to freezing-thawing cycles negligibly decreased, - The scaling rate increased with the increase in the water–cement ratio, - The electrical resistivity of concrete after exposure to cycles has been investigated. Concrete wastes such as recycled concrete aggregates (RCA) make up a significant part of construction and demolition waste (C&DW) which can be used to minimize usage of natural aggregates and reduce carbon footprint. This paper studies the salt-scaling resistance of recycled aggregate concrete produced with pretreated RCAs. The test method for evaluating salt-scaling resistance in concrete according to DIN EN 1340 : 2003 was performed. Four series of concrete mixes using natural aggregates, RCAs, manually pretreated RCA, and modified RCA in a desiccator were subjected to the different tests in terms of bulk electrical resistance in two directions (X and Y) before and after freeze-thaw cycles, ultrasonic pulse velocity, and weight loss of the surface layer of concrete specimens. Moreover, Scanning Electron Microscopy (SEM) of mixes was conducted and the microstructure of mixes considering the interface transition zone was studied. Results show that after exposure to cycles of freezing and thawing, the quality of concrete regarding ultrasonic pulse velocity did not change. The electrical resistance of specimens decreased significantly in X-direction and slightly in Y-direction after applying freeze-thaw cycles in all mixes. Nevertheless, surface modification of RCAs can increase electrical resistance and improve durability of concrete. SEM images show that the interface transition zone before and after freeze-thaw cycles remained unchanged which means strong bond between aggregate, new mortar, and old mortar. An estimation of the total charge passed indicated that all recycled aggregate concretes can be classified in a safe area and with very low chloride ion penetrability according to ASTM C1202

The effect of fine and coarse recycled aggregates on fresh and mechanical properties of self-compacting concrete

Today, the use of recycled aggregates as a substitute for a part of the natural aggregates in concrete production is increasing. This approach is essential because the resources for natural aggregates are decreasing in the world. In the present study, the effects of recycled concrete aggregates as a partial replacement for fine (by 50%) and coarse aggregates (by 100%) were examined in the self-compacting concrete mixtures which contain air-entraining agents and silica fumes. Two series of self-compacting concrete mixes have been prepared. In the first series, fine and coarse recycled mixtures respectively with 50% and 100% replacement with air entraining agent were used. In the second series, fine recycled (with 50% replacement) and coarse recycled (with 100% replacement) were used with silica fume. The rheological properties of the self-compacting concrete (SCC) were determined using slump-flow and J-ring tests. The tests of compressive strength, tensile strength, and compressive stress-strain behavior were performed on both series. The results indicated that air-entraining agent and silica fume have an important role in stabilization of fresh properties of the mixtures. The results of tests indicated a decrease in compressive strength, modulus of elasticity, and energy absorption of concrete mixtures containing air entrained agent. Also, the results showed that complete replacement (100%) with coarse recycled material had no significant effect on mechanical strength, while replacement with 50% fine recycled material has reduced compressive strength, tensile strength, and energy absorption

Toward Sustainable Energy-Independent Buildings Using Internet of Things

Buildings are one of the primary consumers of energy. In addition to the electricity grids, renewable energies can be used to supply the energy demand of buildings. Intelligent systems such as the Internet of Things (IoT) and wireless sensor technologies can also be applied to manage the energy consumption in buildings. Fortunately, integrating renewable energies with these intelligent systems enables creating nearly zero-energy buildings. In this paper, we present the results of our experimentation to demonstrate forming such a building and showing the benefits for building users and the society. We create a system by integrating photovoltaic (PV) technology with an IoT-based control mechanism to supply and consume energy. We further illustrate “how the integration of IoT and PV technology can bring added value to the users?”. To this end, we evaluate the performance of our system against conventional ways of energy supply and consumption for a lighting use case in a dairy store. We also investigate the environmental and economic impacts of our system. In our implementation, for the IoT-based control system, we have used a set of sensors, a server, and a wireless network to control the energy consumption. We developed a web application for user interaction and software-based settings. To control the lighting system, we developed an algorithm that utilizes the ambient light, users’ movements inside the store and a historical dataset. The historical dataset was collected from the users’ behaviour as a training set for the algorithm for turning on and off the lights. We also designed an electricity management system that computes the energy generation by the PV panels, controls the energy supply, and imports and exports electricity to the grid. The results show that our system is an efficient approach for creating energy-independent buildings by integrating renewable energies with IoT-based control systems. The results also show that our system not only responds to the internal demand by using domestic supply, but it also (i) offers economic benefit by exporting extra renewable electricity to the grid, and (ii) prevents producing huge amounts of CO2. Our system is one of the first works to achieve a nearly zero-energy building in the developing countries with low electricity accessibility

Middle East Respiratory Syndrome Coronavirus (MERS-CoV): Hajj issue for Iran

Every year, millions of Muslims from all over the world, are going to participate in the pilgrimage Hajj located in Mecca in Kingdom of Saudi Arabia (KSA). The accumulation of many people from all parts of the world in terms of health management is of great importance. In fact, every person could be a carrier of various chronic or acute diseases. This huge population may lead to occurrence of several epidemics, especially respiratory infections. Iran, as one of the biggest muslem countries in the Middle East will annually send many people to Mecca. In 2015, more than 65 Thousands of Iranian pilgrims Hajj went to the Mecca. . The management of disease is mainly for the symptoms; for example, patients with breathing difficulties would be supported with a machine to provide extra oxygen, or be given medication for fever. There is no vaccine yet; and in the best-case scenario, it would take at least three years to develop one

Toward Sustainable Energy-Independent Buildings Using Internet of Things

Buildings are one of the primary consumers of energy. In addition to the electricity grids, renewable energies can be used to supply the energy demand of buildings. Intelligent systems such as the Internet of Things (IoT) and wireless sensor technologies can also be applied to manage the energy consumption in buildings. Fortunately, integrating renewable energies with these intelligent systems enables creating nearly zero-energy buildings. In this paper, we present the results of our experimentation to demonstrate forming such a building and showing the benefits for building users and the society. We create a system by integrating photovoltaic (PV) technology with an IoT-based control mechanism to supply and consume energy. We further illustrate “how the integration of IoT and PV technology can bring added value to the users?”. To this end, we evaluate the performance of our system against conventional ways of energy supply and consumption for a lighting use case in a dairy store. We also investigate the environmental and economic impacts of our system. In our implementation, for the IoT-based control system, we have used a set of sensors, a server, and a wireless network to control the energy consumption. We developed a web application for user interaction and software-based settings. To control the lighting system, we developed an algorithm that utilizes the ambient light, users’ movements inside the store and a historical dataset. The historical dataset was collected from the users’ behaviour as a training set for the algorithm for turning on and off the lights. We also designed an electricity management system that computes the energy generation by the PV panels, controls the energy supply, and imports and exports electricity to the grid. The results show that our system is an efficient approach for creating energy-independent buildings by integrating renewable energies with IoT-based control systems. The results also show that our system not only responds to the internal demand by using domestic supply, but it also (i) offers economic benefit by exporting extra renewable electricity to the grid, and (ii) prevents producing huge amounts of CO2. Our system is one of the first works to achieve a nearly zero-energy building in the developing countries with low electricity accessibility

Burnout among nurses working in medical and educational centers in Shahrekord, Iran.

BACKGROUND Nursing burnout is the main characteristic of job stress that is a delayed reaction to chronic stressful situations in the workplace which could affect nurses who do not have sufficient emotional energy to cope and communicate with different types of patients. There is also sometimes this belief that they do not have the required capabilities for their jobs. The aim of this study was the evaluation of burnout among nurses working in medical and educational centers in Shahrekord. MATERIALS AND METHODS This descriptive study was performed on 340 nurses working in medical and educational centers in Shahrekord in 2009. Samples were selected using proportionate random sampling. Demographic information and the Maslach Burnout Inventory (MBI) were filled in for all nurses. RESULTS Burnout was considerable among nurses. The results showed that 34.6, 28.8, and 95.7% of the nurses had emotional exhaustion (EE), high depersonalization (DP), and high reduced personal accomplishment (PA), respectively. The mean scores (± standard deviation) for EE, DP, and PA were 22.77 (12.44), 6.99 (6.23), and 32.20 (9.26), respectively. CONCLUSIONS Our results showed that burnout was noticeable among nurses working in medical and educational centers in Shahrekord. Disproportionate relationship between the number of nurses, workload, and income was the most important factor affecting nursing burnout. Due to the importance of nursing in the health-care system, policy makers should adopt suitable strategies for increasing the satisfaction of nurses

Analysis and Evaluation of Thermal-cooling Loads of Office Buildings Using Carrier Software in Iran

The importance and necessity of energy saving in the world have been discussed for many years, but achieving a logical and transparent solution isstill one of the main challenges and problems of the world’s economy. Therapid growth of energy consumption in the last two decades has caused thesecurity of the domestic energy supply of buildings to face serious problems. In this research, first by entering parameters such as the type of materials, doors and windows, and the type of soil on the floor connected to theground, etc. in the heat and cold load calculation software (HAP Carrier) asthe design calculations and then in the second step entering the specifications inferred from the Iran’s national building code as a reference for energy saving calculations, calculations are performed and compared as the firstcriterion, and finally these two outputs are compared. The actual energyconsumption and determination of the building energy consumption indexare determined as another criterion, as well as the degree of deviation fromthe actual consumption. The results showed that the theoretical method andthe thermal and refrigeration load calculations of the Zanjan Gas Companybuilding have 6% difference in cooling load but the heating load is about34% different, which means for cooling loads, the theoretical model can beused with high accuracy but for heating loads, the national building codeneeds fundamental changes

OLDER PEOPLE LEVEL OF RELIGIOUS ATTITUDE AND AFFECTING FACTORS: A CROSS SECTIONAL STUDY FROM IRAN

Abstract: Background & Aim: Spiritual aspect of health in older people is very important issue. Although religious attitude have a positive effect in person’s life, however study about religious attitude among elderly have been largely unexamined. In present study we examined level of religious attitude among Iranian older people. Methods: This cross sectional descriptive study conducted between Aprils to July 2015 in Shahrekord, South west of Iran. Using random sampling, 308 people older than 60 year that admitted in Shahrekord hospitals were invited to participate in the study. The data were collected, using a questionnaire with items relating to demographic data and Religious Attitude Scale Questionnaire. The Religious Attitude Scale Questionnaire is a 40-item inventory where each item is scored using a five-point Likert scale. Religious attitude score was calculated between 40 and 200. Those who gained 40 to 84 had low religious attitude and a score of 166 to 200 indicated a high religious attitude. Results: All participants were Muslim. The mean ages of participant were 72.49±8.81. The mean score of religious attitude were 140.68±30.14. Of 308 people who participate in present study, 212 (68.8%) showed high religious attitude and the rest showed low religious attitude. Participants age, marital status and living type affect their level of religious attitude significantly (P<0.05). Conclusion: According to finding of present study, most Iranian older people have high level of religious attitude. Further study in this regards recommended specially among older people with different culture and religious belief

Deep Learning in Energy Modeling: Application in Smart Buildings With Distributed Energy Generation

Buildings are responsible for 33% of final energy consumption, and 40% of direct and indirect CO2 emissions globally. While energy consumption is steadily rising globally, managing building energy utilization by on-site renewable energy generation can help responding to this demand. This paper proposes a deep learning method based on a discrete wavelet transformation and long short-term memory method (DWT-LSTM) and a scheduling framework for the integrated modelling and management of energy demand and supply for buildings. This method analyzes several factors including electricity price, uncertainty in climatic factors, availability of renewable energy sources (wind and solar), energy consumption patterns in buildings, and the non-linear relationships between these parameters on hourly, daily, weekly and monthly intervals. The method enables monitoring and controlling renewable energy generation, the share of energy imports from the grid, employment of saving strategy based on the user priority list, and energy storage management to minimize the reliance on the grid and electricity cost, especially during the peak hours. The results demonstrate that the proposed method can forecast building energy demand and energy supply with a high level of accuracy, showing a 3.63-8.57% error range in hourly data prediction for one month ahead. The combination of the deep learning forecasting, energy storage, and scheduling algorithm enables reducing annual energy import from the grid by 84%, which offers electricity cost savings by 87%. Finally, two smart active buildings configurations are financially analyzed for the next thirty years. Based on the results, the proposed smart building with solar Photo-Voltaic (PV), wind turbine, inverter, and 40.5 kWh energy storage has a financial breakeven point after 9 years with wind turbine and 8 years without it. This implies that implementing wind turbines in the proposed building is not financially beneficial.Peer reviewe

The impact of Supplementation With Fish Oil on Lipid Profile of Pregnant Mothers: A Randomized Controlled Trial

Objective: The impact of supplementation with omega-3 fatty acid during gestational period on lipid profile levels remains unknown. The objective of this trial was to investigate the impact of supplementation with fish oil on maternal lipid profile. Materials and Methods: This research was a randomized triple blinded controlled trial. The study population was comprised healthy pregnant subjects who had family records at health care centers in Tabriz, Iran. A total of 150 women who were eligible for study were randomized into two groups, one group took fish oil supplement capsules (1000 mg/day), and another group took placebo. A total of 92 women fulfilled the study which 45 participants were in the supplemented group and 47 participants were in the placebo group. Consumption of fish oil capsules and placebo was daily one capsule from the beginning of the 21th week of gestation until delivery which was about 20 weeks. At the start of trial (16th-20th weeks) and in the fifth care of gestation (during 35th-37th weeks) 3 cc blood samples collected and sent to the laboratory for evaluation of lipid profile levels. Results: Despite substantial increases in total cholesterol, triglycerides and Low-density lipoprotein (LDL) levels with advancing pregnancy, there was no statistically significant discrepancy between the intervention and placebo groups. (P = 0.345, 0.299, 0.109, respectively). Despite a significant decrease in the levels of high-density lipoprotein (HDL) cholesterol with advancing pregnancy, there was no statistically meaningful difference between two groups (P = 0.786) Conclusion: We found no effect of supplementation with fish oil during gestation on plasma lipid profile of pregnant mothers