Foam-filled structural panels using pneumatic fabric formwork for rapidly assembled buildings

Crisis management after natural and non-natural disasters is a matter of serious concern for governments. Every year, due to catastrophes worldwide, millions of people have to be accommodated in temporary housing. In the USA alone, such disasters happen over 60 times per year. Rapid assembly building therefore, play a key role in post disaster housing projects. There are several types of rapidly assembled structures. Among them, the use of panelised systems, especially lightweight foam filled sandwich panels, is becoming very popular, because of their improved efficiency, good performance and their ability to reduce construction time and cost. A vast majority of the recent studies in the literature on the performance of structural panels are mainly focused on the panels made by rigid formwork. The structural application of the flexible formwork systems and their capabilities and potentials for rapid assembly building in crises management has not been adequately studies in the literature. In fact, a large portion of the recent research studies regarding the application of the flexible formwork is mainly limited to the architectural concepts. There is a significant gap in the knowledge of application of light weight sandwich panels, and application of flexible formwork systems for rapid assembly housing for crises management. This research study aims to introduce a novel foam-filled structural panelised system by pneumatic fabric formwork for rapid assembly building and study its structural performance and constructional considerations

Footprint of construction errors on the structural damages

The majority of structural failures are attributable to errors in construction. This problem exists in all countries, but it is more frequent in developing communities. This study focuses on construction errors of structures in Tehran, the capital city of Iran. In this study, eighty-eight buildings have been investigated during the construction phase. These buildings have been categorized into ten types and have been distributed in twenty-two suburbs. Results showed that the buildings of Tehran can suffer from at least forty-nine major construction problems. In addition, for the first time, this research has introduced the following three terms in relation to prioritizing of construction errors: Relative Importance Factor (RIF), Priority Index (PI) and Structural Importance Index (SII). As a part of the conclusions, the results showed one hundred percent of investigated buildings are affected dramatically by the “use of untrained workers” and “lack of sampling or wrong sampling” too. In this regard, the RIF and PI of each “Lack of sampling or wrong sampling” and “use of untrained workers” are 100 and 1, respectively. Also, suburb 3 has the best construction conditions while suburb 10 has the worst

Development of Dam-Break Model Considering Real Case Studies with Asymmetric Reservoirs

Dam-break flow is known as one of the most horrible phenomena. Some hypothetical reservoir geometries were evaluated in literature, but in nature, each reservoir has a unique geometry. In the present research, dam-break flow was studied based on different reservoir geometries using FLOW-3D. Six reservoirs were considered: reservoirs R1 and R2 belonged to Mahabad Dam (Iran) and Tignes Dam (France), with asymmetric reservoirs, respectively; reservoirs R3 and R4 had symmetrical trapezoidal reservoirs with angles 30 and 45 degrees, respectively; reservoir R5 had a rectangular shape, extending from one side; and reservoir R6 had a long reservoir, which also was used to verify FLOW-3D. The model performance was verified by experimental results and FLUENT model in literature. Results showed FLOW-3D with mesh sizes 30×30×30 mm and k-ɛ turbulence model outperformed FLUENT, based on R2, RMSE, and MAE. The results of water levels and flow velocities at five points proved that dam-break flow could vary from one dam to another, considering reservoir geometry. Peak water levels and velocities have been measured to show how reservoir geometry could cause catastrophic flow

A robust framework epileptic seizures classification based on lightweight structure deep convolutional neural network and wavelet decomposition

Nowadays scientific evidence suggests that epileptic seizures can appear in the brain signals minutes and even hours prior to their occurrence. Advances in predicting epileptic seizures can promise a robust model in which seizures and irreparable injuries at the time of occurrence can be possible. Most of the previous automated solutions are associated with challenges such as the lack of a proper signal descriptor, the existence of a large number of features and, consequently, the time-consuming analysis, which are not considering the uncertainty issue. In this paper, efficient and fastidious classification is performed by analysing the frequency bands of the input EEG signal via discrete wavelet transform, which is relying on the deep convolutional neural network based classification. Using the EEG signals obtained from the CHEG-MIT Scalp EEG database, the implementation in the desired model is performed and the results show that the proposed model has the best response in detecting the disease from the sample signal and with the highest level of certainty to follow. To solve the uncertainty problem, the repeatability algorithm test is arranged and after K-fold cross-validation, the experimental precision of all the three evaluation factors were equal to 99.34%, 99.53%, and 99.76%, respectively

Distribution of socioeconomic factors among the new patients of skin cancer in Iran

Background: The global burden of cancer due to population growth and aging, and various environmental factors is increasing. Skin cancer is the most common cancer among Iranians and among men, is more common. There is strong evidence from Industrialized and less developed countries that cancer incidence and survival is related to socioeconomic factors. The aim of this study was to investigate the relationship between socioeconomic variables including Human Development Index, unemployment rate and Urbanization ratio with the incidence of skin cancer in Iran. Method: The panel data were for 30 provinces for 6 years) 2007 to 2012(. Data of socioeconomic factors were collected from the Statistical Center of Iran and the data related to the incidence of cancer were collected from the reports on cancer registry of Health and Medical Education Ministry. For data analysis Stata11th version was used. Result: There is no relation between unemployment and the incidence of skin cancer. There is negative relationship between urbanization and incidence of skin cancer in both sexes. There is negative relation between HDI and the incidence of skin cancer in both sexes. Conclusion: Among the three variables selected in this study, the human development index and the urbanization, influenced on the cancer incidence. Therefore, in order to prevent skin cancer, paying attention appears to be necessary for policymakers. Key words: Socioeconomic Factors, Skin Neoplasm, Ira

Survey of awareness and beliefs about cancer (ABC) in Tehran Province, Iran

Introduction Knowledge, attitudes, and practices are essential measures for planning and evaluating cancer control programs. Little is known about these in Iran. Methods We conducted a population-based interview survey of adults aged 30–70 using the Farsi version of the Awareness and Beliefs about Cancer questionnaire in the capital province of Tehran, Iran, 2019. We calculated weighted estimates of levels of cancer knowledge, attitudes, and practices to allow for different selection probabilities and nonresponse. We used multivariate logistic regression to understand demographic factors associated with bowel, cervix, and breast screening practices. Results We interviewed 736 men and 744 women. The mean number of recalled cancer warning signs was less than one; 57.7% could not recall any cancer warning signs. Participants recognized 5.6 out of 11 early cancer warning signs and 8.8 of 13 cancer risk factors. Most (82.7%) did not know that HPV infection was a cancer risk factor. Approximately, half had negative attitudes towards cancer treatment, but over 80% had positive attitudes towards the effectiveness of screening for improving survival. Colorectal, breast, and cervical screening rates were 24%, 42%, and 49%, respectively. Higher socioeconomic status increased the odds of taking up screening for cancer. Women aged 60–70 were less likely to report taking up breast and cervical screening than younger women. Discussion The Iranian population has poor awareness and negative attitudes about cancer, and participation in screening programs is low. Public awareness and early detection of cancer should be promoted in Iran

A novel mutation in SEPN1 causing rigid spine muscular dystrophy 1: A Case report

Abstract Background Muscular dystrophies are a clinically and genetically heterogeneous group of disorders characterized by variable degrees of progressive muscle degeneration and weakness. There is a wide variability in the age of onset, symptoms and rate of progression in subtypes of these disorders. Herein, we present the results of our study conducted to identify the pathogenic genetic variation involved in our patient affected by rigid spine muscular dystrophy. Case presentation A 14-year-old boy, product of a first-cousin marriage, was enrolled in our study with failure to thrive, fatigue, muscular dystrophy, generalized muscular atrophy, kyphoscoliosis, and flexion contracture of the knees and elbows. Whole-exome sequencing (WES) was carried out on the DNA of the patient to investigate all coding regions and uncovered a novel, homozygous missense mutation in SEPN1 gene (c. 1379 C > T, p.Ser460Phe). This mutation has not been reported before in different public variant databases and also our database (BayanGene), so it is classified as a variation of unknown significance (VUS). Subsequently, it was confirmed that the novel variation was homozygous in our patient and heterozygous in his parents. Different bioinformatics tools showed the damaging effects of the variant on protein. Multiple sequence alignment using BLASTP on ExPASy and WebLogo, revealed the conservation of the mutated residue. Conclusion We reported a novel homozygous mutation in SEPN1 gene that expands our understanding of rigid spine muscular dystrophy. Although bioinformatics analyses of results were in favor of the pathogenicity of the mutation, functional studies are needed to establish the pathogenicity of the variant

From fidelity to entanglement of entropy of the one-dimensional transverse-field quantum compass model

We study fidelity and fidelity susceptibility by addition of entanglement of entropy in the one-dimensional quantum compass model in a transverse magnetic field numerically. The whole four recognized gapped regions in the ground state phase diagram are in the range of our investigation. Power-law divergence at criticality accompanied by finite size scaling indicates the field induced quantum phase transitions are of second order as well as from the scaling behavior of the extremum of fidelity susceptibility is shown the quantum critical exponents are different in the various regions of phase diagram. We further calculate a recently proposed quantum information theoretic measure, von-Neumann entropy, and show that this measure provide appropriate signatures of the quantum phase transitions (QPT)s occurring at the critical fields. Von-Neumann entropy indicates a measure of entanglement between some-particle block and the rest of the system. We show the value of entanglement between a two-particle block with the rest of the system is more dependent on the power of exchange couplings connecting the block with the rest of the system than the power of exchange coupling between two particles in the block