English Translation of Iranian Local Cultural Patterns of “Isfahan Nameh”

The aim of this article is to investigate the translation of Persian cultural patterns of “Isfahan nameh” written by Mohammad Ali Jamalzadeh and translated by W. Heston. After identifying the cultural patterns of the corpus the researchers compared, contrasted and classified them with their parallel translations based on Nord and Newmark models and then extracted the applied translation strategies, the result, considering the implicit patterns revealed that cultural equivalent and functional equivalent were the most frequent applied strategies and among the explicit cultural patterns, place, food, national and religious custom were used most and the ecology, leisure and political era used least. Testing the null hypothesis by applying chi-square, no significant difference was found between the percentages of the strategies used by the translator in translating the extracted cultural patterns of “Isfahan nameh” at the probability levels of 95% and 99%

Hybrid simulation of a structure to tsunami loading

A new hybrid simulation technique has been developed to assess the behavior of a structure under hydrodynamic loading. It integrates the computational fluid dynamics and structural hybrid simulation and couples the fluid loading and structure response at each simulation step. The conventional displacement-based and recently developed force-based hybrid simulation approaches are adopted in the structural analysis. The concept, procedure, and required components of the proposed hybrid simulation are introduced in this paper. The proposed hybrid simulation has been numerically and physically tested in case of a coastal building impacted by a tsunami wave. It is demonstrated that the force error in the displacement-based approach is significantly larger than that in the force-based approach. The force-based approach allows for a more realistic and reliable structural assessment under tsunami loading

Detecting Distributed Denial of Service Attacks in Neighbour Discovery Protocol Using Machine Learning Algorithm Based on Streams Representation

© 2018, Springer International Publishing AG, part of Springer Nature. The main protocol of the Internet protocol version 6 suites is the neighbour discovery protocol, which is geared towards substitution of address resolution protocol, router discovery, and function redirection in Internet protocol version 4. Internet protocol version 6 nodes employ neighbour discovery protocol to detect linked hosts and routers in Internet protocol version 6 network without the dependence on dynamic host configuration protocol server, which has earned the neighbour discovery protocol the title of the stateless protocol. The authentication process of the neighbour discovery protocol exhibits weaknesses that make this protocol vulnerable to attacks. Denial of service attacks can be triggered by a malicious host through the introduction of spoofed addresses in neighbour discovery protocol messages. Internet version 6 protocols are not well supported by Network Intrusion Detection System as is the case with Internet Protocol version 4 protocols. Several data mining techniques have been introduced to improve the classification mechanism of Intrusion detection system. In addition, extensive researches indicated that there is no Intrusion Detection system for Internet Protocol version 6 using advanced machine-learning techniques toward distributed denial of service attacks. This paper aims to detect Distributed Denial of Service attacks of the Neighbour Discovery protocol using machine-learning techniques, due to the severity of the attacks and the importance of Neighbour Discovery protocol in Internet Protocol version 6. Decision tree algorithm and Random Forest Algorithm showed high accuracy results in comparison to the other benchmarked algorithms

Nutrition and lung cancer: a case control study in Iran

Background: Despite many prospective and retrospective studies about the association of dietary habit and lung cancer, the topic still remains controversial. So, this study aims to investigate the association of lung cancer with dietary factors. Method: In this study 242 lung cancer patients and their 484 matched controls on age, sex, and place of residence were enrolled between October 2002 to 2005. Trained physicians interviewed all participants with standardized questionnaires. The middle and upper third consumer groups were compared to the lower third according to the distribution in controls unless the linear trend was significant across exposure groups. Result: Conditional logistic regression was used to evaluate the association with lung cancer. In a multivariate analysis fruit (Ptrend < 0.0001), vegetable (P = 0.001) and sunflower oil (P = 0.006) remained as protective factors and rice (P = 0.008), bread (Ptrend = 0.04), liver (P = 0.004), butter (Ptrend = 0.04), white cheese (Ptrend < 0.0001), beef (Ptrend = 0.005), vegetable ghee (P < 0.0001) and, animal ghee (P = 0.015) remained as risk factors of lung cancer. Generally, we found positive trend between consumption of beef (P = 0.002), bread (P < 0.0001), and dairy products (P < 0.0001) with lung cancer. In contrast, only fruits were inversely related to lung cancer (P < 0.0001). Conclusion: It seems that vegetables, fruits, and sunflower oil could be protective factors and bread, rice, beef, liver, dairy products, vegetable ghee, and animal ghee found to be possible risk factors for the development of lung cancer in Iran

As Far as the Eye Can See: Relationship between Psychopathic Traits and Pupil Response to Affective Stimuli

Psychopathic individuals show a range of affective processing deficits, typically associated with the interpersonal/affective component of psychopathy. However, previous research has been inconsistent as to whether psychopathy, within both offender and community populations, is associated with deficient autonomic responses to the simple presentation of affective stimuli. Changes in pupil diameter occur in response to emotionally arousing stimuli and can be used as an objective indicator of physiological reactivity to emotion. This study used pupillometry to explore whether psychopathic traits within a community sample were associated with hypo-responsivity to the affective content of stimuli. Pupil activity was recorded for 102 adult (52 female) community participants in response to affective (both negative and positive affect) and affectively neutral stimuli, that included images of scenes, static facial expressions, dynamic facial expressions and sound-clips. Psychopathic traits were measured using the Triarchic Psychopathy Measure. Pupil diameter was larger in response to negative stimuli, but comparable pupil size was demonstrated across pleasant and neutral stimuli. A linear relationship between subjective arousal and pupil diameter was found in response to sound-clips, but was not evident in response to scenes. Contrary to predictions, psychopathy was unrelated to emotional modulation of pupil diameter across all stimuli. The findings were the same when participant gender was considered. This suggests that psychopathy within a community sample is not associated with autonomic hypo-responsivity to affective stimuli, and this effect is discussed in relation to later defensive/appetitive mobilisation deficits

A Comparison of Energy-Resolved Vibrational Activation/Dissociation Characteristics of Protonated and Sodiated High Mannose N-Glycopeptides

Fragmentation of glycopeptides in tandem mass spectrometry (MS/MS) plays a pivotal role in site-specific protein glycosylation profiling by allowing specific oligosaccharide compositions and connectivities to be associated with specific loci on the corresponding protein. Although MS/MS analysis of glycopeptides has been successfully performed using a number of distinction dissociation methods, relatively little is known regarding the fragmentation characteristics of glycopeptide ions with various charge carriers. In this study, energy-resolved vibrational activation/ dissociation was examined via collision-induced dissociation for a group of related high mannose tryptic glycopeptides as their doubly protonated, doubly sodiated, and hybrid protonated sodium adduct ions. The doubly protonated glycopeptide ions with various compositions were found to undergo fragmentation over a relatively low but wide range of collision energies compared with the doubly sodiated and hybrid charged ions, and were found to yield both glycan and peptide fragmentation depending on the applied collision energy. By contrast, the various doubly sodiated glycopeptides were found to dissociate over a significantly higher but narrow range of collision energies, and exhibited only glycan cleavages. Interestingly, the hybrid protonated sodium adduct ions were consistently the most stable of the precursor ions studied, and provided fragmentation information spanning both the glycan and the peptide moieties. Taken together, these findings illustrate the influence of charge carrier over the energyresolved vibrational activation/dissociation characteristics of glycopeptides, and serve to suggest potential strategies that exploit the analytically useful features uniquely afforded by specific charge carriers or combinations thereof

Crystal structure of a dimeric archaeal cleavage and polyadenylation specificity factor

Proteins of the metallo-β-lactamase (MβL) fold form a large superfamily of metallo-hydrolase/oxidoreductases. Members of this family are found in all three domains of life and are involved in a variety of biological functions related to hydrolysis, redox processes, DNA repair and uptake, and RNA processing. We classified the archaeal homologs of this superfamily based on sequence similarity and characterized a subfamily of the Cleavage and Polyadenylation Specificity Factor (CPSF) with an uncommon domain composition: in addition to an extended MβL domain, which accommodates the active site for RNA cleavage, this group has two N-terminal KH domains. Here, we present the crystal structure of a member of this group from Methanosarcina mazei. It reveals a dimerization mode of the MβL domain that has not been observed before and suggests that RNA is bound across the dimer interface, recognized by the KH domains of one monomer, and cleaved at the active site of the other

Non-invasive estimation of pulmonary hemodynamics from 2D-PC MRI with an arterial mechanics method

Pulmonary Hypertension (PH) is a challenging cardiopulmonary disease diagnosed when the mean pulmonary artery pressure (mPAP) is greater than 20&nbsp;mmHg. Unfortunately, mPAP can only be measured through invasive right heart catheterization (RHC) motivating the development of novel non-invasive estimates. Pulmonary hypertension patients (n&nbsp;=&nbsp;7) and control subjects (n&nbsp;=&nbsp;8) had 2D phase contrast (PC) MRI of the main pulmonary artery during rest and moderate exercise. A novel method utilizing arterial mechanics was used to estimate mPAP and other pulmonary hemodynamics measures from the 2D PC images. mPAP estimated from MRI was greater in the PH group than the control group at both rest (24&nbsp;±&nbsp;10 vs 12&nbsp;±&nbsp;5&nbsp;mmHg) and exercise (40&nbsp;±&nbsp;8 vs 17&nbsp;±&nbsp;9&nbsp;mmHg). Area under the curve (AUC) calculated from receiver operator curve (ROC) analysis showed MRI estimated mPAP had excellent diagnostic ability to diagnose PH patients vs control subjects at rest and exercise (rest AUC&nbsp;=&nbsp;0.91 [0.76 - 1.0], exercise AUC&nbsp;=&nbsp;0.96 [0.88 - 1.0]). These are promising proof-of-concept results that pulmonary hemodynamics could be non-invasively estimated from an MRI and arterial mechanics approach. Future studies to determine the clinical utility of this method are needed