1,357,765 research outputs found
Corrigendum to �Technetium-99 m-PEGylated dendrimer-G2-(Dabcyle-Lys6,Phe7)-pHBSP: A novel Nano-Radiotracer for molecular and early detecting of cardiac ischemic region� Bioorg. Chem. 98 (2020) 103731(S0045206819321364)(10.1016/j.bioorg.2020.103731)
No full textThe authors regret �An improve the affiliation of Ahmad Bitarafan-Rajabic as stated here: cEchocardiography Research Center, Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran. dCardiovascular Interventional Research Center, Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran.� The correct affiliations have been updated as above. The authors would like to apologise for any inconvenience caused. © 2020 Elsevier Inc
Electricity generation, fuel consumption, and carbon dioxide emissions in Iranian power plants, by type of ownership
No full textThe data presented in this dataset is extracted from Iran's energy balance sheet, published annually by the Ministry of Energy in Persian. This dataset includes electricity generation (gross electric output (GWh).xlsx), fuel consumption (energy consumption (teracal).xlsx), and carbon dioxide emissions (carbon emissions (ton).xlsx) from each fuel consumption in power plants belonging to the Ministry of Energy, the private sector, and large industries (1990-2017) (1396-1396 Solar Hijri calendar). The balance sheet's data structure has changed over the past three decades, leading to a lack of proper data publication in some years. For example, from 1990 to 1992, the special production data of "power plants" of large industries were not separated from medium and small industries. Therefore, due to the availability of installed capacity in large, medium, and small industries, the author calculated electricity generation in large industries power plants. In addition to such corrections, comparing data with Central Bank of Iran statistics has made the dataset more accurate than balance sheets
TOWARDS A SUSTAINABLE ROLE OF CONSERVATION/REUSE OF BUILT CULTURAL HERITAGE IN FACE OF CLIMATE CHANGE CHALLENGES; ADDA RIVER AND ITS DECOMMISSIONED WATER-RELATED HERITAGE
No full textTechnetium-99m chelator-free radiolabeling of specific glutamine tumor imaging nanoprobe: in vitro and in vivo evaluations
No full textSeyedeh Masoumeh Ghoreishi,1,2 Ali Khalaj,1 Omid Sabzevari,3 Leila Badrzadeh,1 Pardis Mohammadzadeh,1,4 Seyed Shahaboddin Mousavi Motlagh,5 Ahmad Bitarafan-Rajabi,6 Mehdi Shafiee Ardestani1 1Department of Radiopharmacy, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran; 2Cancer Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, Iran; 3Department of Toxicology and Pharmacology, Faculty of Pharmacy, Toxicology and Poisoning Research Centre, Tehran University of Medical Sciences, Tehran, Iran; 4Department of Genetics and Molecular Biology, Isfahan University of Medical Sciences, Isfahan, Iran; 5Biotechnology Department of Iranian Food and Drug Administration, Ministry of Health, Tehran, Iran; 6Echocardiography Research Center, Cardiovascular Interventional Research Center, Department of Nuclear Medicine, Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran Introduction: Nowadays, molecular imaging radiopharmaceuticals’, nanoparticles’, and/or small-molecule biomarkers’ applications are increasing rapidly worldwide. Thus, researchers focus on providing the novel, safe, and cost-effective ones. Materials and methods: In the present experiment, technetium-99m (99mTc)-labeled PEG-citrate dendrimer-G2 conjugated with glutamine (nanoconjugate) was designed and assessed as a novel tumor imaging probe both in vitro and in vivo. Nanoconjugate was synthesized and the synthesis was confirmed by Fourier transform infrared, proton nuclear magnetic resonance, liquid chromatography-mass spectrometry, dynamic light scattering, and static light scattering techniques. The toxicity was assessed by XTT and apoptosis and necrosis methods. Results: Radiochemical purity indicates that the anionic dendrimer has a very high potential to complex formation with 99mTc and is also very stable in the human serum in different times. Results from the imaging procedures showed potential ability of nanoconjugates to detect tumor site. Conclusion: Suitable features of the anionic dendrimer show that it is a promising agent to improve nanoradiopharmaceuticals. Keywords: biodegradable, biocompatible, dendrimer, glutamine, chelator free, radiolabelin
Electricity generation, fuel consumption, and carbon dioxide emissions in Iranian power plants, by type of ownership
No full textThe data presented in this dataset is extracted from Iran's energy balance sheet, published annually by the Ministry of Energy in Persian. This dataset includes electricity generation (gross electric output (GWh).xlsx), fuel consumption (energy consumption (teracal).xlsx), and carbon dioxide emissions (carbon emissions (ton).xlsx) from each fuel consumption in power plants belonging to the Ministry of Energy, the private sector, and large industries (1990-2017) (1369-1396 Solar Hijri calendar). The balance sheet's data structure has changed over the past three decades, leading to a lack of proper data publication in some years. For example, from 1990 to 1992, the special production data of "power plants" of large industries were not separated from medium and small industries. Therefore, due to the availability of installed capacity in large, medium, and small industries, the author calculated electricity generation in large industries power plants. In addition to such corrections, comparing data with Central Bank of Iran statistics has made the dataset more accurate than balance sheets
Towards a Regenerative Role of Cultural Heritage in Climate Resilience; the Case of the Indian Water Infrastructure Heritage
No full textDespite great efforts in facing climate change challenges—especially by the UN Paris Agreement, the 2030 Agenda for Sustainable Development, and companion documents (Sendai Framework for Disaster Risk Reduction and the New Urban Agenda)—generally speaking, current policies on climate change and Disaster Risk Reduction at both national and international levels have not yet been centrally positioned in respective plans for heritage, and cultural heritage still does not have a central role in such policies. The main aim of this paper is to explore the culture/cultural heritage’s complex interrelationship with climate change by delving into critical issues/gaps and recommendatory encounters of heritage framework in climate change framework and vice versa at the international level and an example in India. Accordingly, this paper showcases a type of Indian Water Infrastructure Heritage; Stepwells, traditional underground water management systems in arid western India which, unfortunately, with modernization, lost their original function and hence, nowadays, most are abandoned. Thus, by the situational analysis of such an Indian urban-scale type of heritage, this paper concludes with critical reflections on the necessity of the systemic relationship among sustainability, conservation, and development, especially in practice and the need to recall the notion of sustainability again
Single Residential Load Forecasting Using Deep Learning and Image Encoding Techniques
No full textThe integration of more renewable energy resources into distribution networks makes the operation of these systems more challenging compared to the traditional passive networks. This is mainly due to the intermittent behavior of most renewable resources such as solar and wind generation. There are many different solutions being developed to make systems flexible such as energy storage or demand response. In the context of demand response, a key factor is to estimate the amount of load over time properly to better manage the demand side. There are many different forecasting methods, but the most accurate solutions are mainly found for the prediction of aggregated loads at the substation or building levels. However, more effective demand response from the residential side requires prediction of energy consumption at every single household level. The accuracy of forecasting loads at this level is often lower with the existing methods as the volatility of single residential loads is very high. In this paper, we present a hybrid method based on time series image encoding techniques and a convolutional neural network. The results of the forecasting of a real residential customer using different encoding techniques are compared with some other existing forecasting methods including SVM, ANN, and CNN. Without CNN, the lowest mean absolute percentage of error (MAPE) for a 15 min forecast is above 20%, while with existing CNN, directly applied to time series, an MAPE of around 18% could be achieved. We find the best image encoding technique for time series, which could result in higher accuracy of forecasting using CNN, an MAPE of around 12%
A new oribatid mite of the genus Pergalumna (Acari: Oribatida: Galumnidae) from north-west of Iran
No full textAkrami, Mohammad Ali, Rajabi, Monireh (2021): A new oribatid mite of the genus Pergalumna (Acari: Oribatida: Galumnidae) from north-west of Iran. Persian Journal of Acarology 10 (2): 127-135, DOI: 10.22073/pja.v10i2.6617
Interior urbanity; in-between scales’ scenarios for contemporary urban design, learning from Ahmedabad, India
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