The factors affecting couples' age difference between two generations of 1976 and 1986 in city of Kamyaran

Couples' age difference affects fertilizing, family planning, being satisfied with matrimony, divorce and being widow (or widower). The age difference respecting getting prepared biologically between males and females can itself cause couples' age difference. The main aim of the present study is the factors affecting couples’ age difference in city of Kamyaran and contrastive comparison between two generations born in years of 1976 and 1986. The population includes 58047 of married people born in years of 1976 and 1986 (in that 26057 of which belong to the generation of 1986 and 32000 belong to the generation of 1976) in city of Kamyaran who 381 of the sampling amount were estimated based on Chochran formula in that to ignore the amount of errors, the sampling size is regarded as 400 people. The sampling method was multi-cluster one and the questionnaire was used to collect the information and they were distributed among respondents after getting approved respecting both validity and reliability. After collecting the questionnaires and reviewing them, a code was assigned for any of the questionnaires and answers and then the data were transferred into the SPSS software and the matrix of the variables got formed. To analyze the data suitable for their assessment at descriptive level, the descriptive statistics of Average, Standard Deviation (SD), Mean and tables were used and at the explanatory analysis level, Pearson Correlation, T-test, multivariable statistical techniques and graphs were also used. According to the gained results, the age difference for rural and urban males were 5.22 and 5.23 years, respectively and they were 4.26 and 3.13 for rural and urban females, respectively that age difference was more in rural females than their urban counterparts. The marriage ages for rural and urban boys are 25.28 and 25.36 years, respectively. The marriage ages for rural and urban girls are 22.4 and 22.94, respectively. The sociocultural factors, economic factors, the marriage age, masculinity and education have a meaningful relation with dependent variable

Naltrexone Removal from Aqueous Media by Multi-Walled Carbon Nanotubes

Background: Extensive researches with different techniques are being carried out for removal of pharmaceuticals from aqueous media. The aim of this study was to use multi-walled carbon nanotubes (MWCNTs) to remove naltrexone as a pollutant of the aquatic environment and to investigate the mechanism of absorption and factors affecting it. Methods: In this experimental study, different amounts of MWCNTs were added to different concentrations (200 to 400 mg/L) of naltrexone and adsorption at various conditions including temperature, pH, and time of adsorption was studied. Adsorption on multi-walled carbon nanotubes was adopted on isotherm model equations to estimate the adsorption mechanism. Results: Optimum conditions to remove 90% of naltrexone from 20 ml of its 400mg/ml solution were at adsorbent amount of 0.1g and time of 20 to 30 minutes. Temperature and pH had no effect on adsorption in the examined ranges. The drug can be absorbed as one layer and according to the Langmuir isotherm, on carbon nanotubes. Conclusion: Naltrexone removal by MWCNTs, due to higher surface area and therefore more efficient adsorption properties, is more efficient than by activated carbon and requires no specific conditions in regard to pH, temperature, and concentration. Substances with similar structures, like morphine, compete with naltrexone on adsorption

Compressed Sensing Beyond the IID and Static Domains: Theory, Algorithms and Applications

Sparsity is a ubiquitous feature of many real world signals such as natural images and neural spiking activities. Conventional compressed sensing utilizes sparsity to recover low dimensional signal structures in high ambient dimensions using few measurements, where i.i.d measurements are at disposal. However real world scenarios typically exhibit non i.i.d and dynamic structures and are confined by physical constraints, preventing applicability of the theoretical guarantees of compressed sensing and limiting its applications. In this thesis we develop new theory, algorithms and applications for non i.i.d and dynamic compressed sensing by considering such constraints. In the first part of this thesis we derive new optimal sampling-complexity tradeoffs for two commonly used processes used to model dependent temporal structures: the autoregressive processes and self-exciting generalized linear models. Our theoretical results successfully recovered the temporal dependencies in neural activities, financial data and traffic data. Next, we develop a new framework for studying temporal dynamics by introducing compressible state-space models, which simultaneously utilize spatial and temporal sparsity. We develop a fast algorithm for optimal inference on such models and prove its optimal recovery guarantees. Our algorithm shows significant improvement in detecting sparse events in biological applications such as spindle detection and calcium deconvolution. Finally, we develop a sparse Poisson image reconstruction technique and the first compressive two-photon microscope which uses lines of excitation across the sample at multiple angles. We recovered diffraction-limited images from relatively few incoherently multiplexed measurements, at a rate of 1.5 billion voxels per second

Corrosion evaluation of 13Cr (AISI 420) stainless steel: synergic effects of environmental factors and microstructure

13 Cr (AISI 420) martensitic stainless steel, widely used as an oil country tubular goods (OCTG), is sensitive to localized corrosion especially in the harsh downhole environment of oil and gas wells. The corrosion behavior of the material is determined by both the materials' intrinsic characteristics and environmental conditions. Accordingly, in the first part of the study, the corrosion properties of the 13Cr stainless steel were studied using response surface methodology in three different environmental parameters of temperature, pH, and chloride concentration at the ranges of 22-80°C, 4-7, and 1000-22000 mg/Lit. , respectively. The results were provided as a quadratic model correlating the materials pitting potential to the parameters. In the second part, the effect of the microstructure and micro-phase constituents of the steel on its corrosion performance was investigated. The results showed that a defect-free and partially tempered microstructure containing delta ferrite as a highly concentrated region of chromium could have suitable corrosion properties

On Microstructure And Corrosion Properties Of Selective Laser Melted 316L Stainless Steel

In this study, a laser additive manufacturing method, known as selective laser melting (SLM), was applied to produce cube blocks of 316L stainless steel. The microstructure and corrosion properties of the produced samples were analyzed using scanning electron microscopy, cyclic potentiodynamic polarization testing, and electrochemical impedance spectroscopy. The results were also compared with the properties of a conventional wrought 316L stainless steel sample. The microstructural studies showed that the SLM-manufactured samples have a regular network of melt pools containing austenite grains along with elongated or equiaxed cellular sub-grains. The potentiodynamic polarization results depicted that the SLM fabricated samples had higher positive pitting potential and a wider passivation range than those of the wrought sample, corresponding to their better corrosion resistance. However, the SLM fabricated samples showed a weaker re-passivation property, which possibly is attributed to the presence of pre-existing porosities in the structure of the SLM sample formed during the fabrication process. The EIS data also confirmed a larger capacitive arc for the SLM fabricated samples than its wrought counterpart, indicating a higher charge transfer impedance and a better corrosion resistance

Optimization and Validation of a novel Nebulizer-assisted Liquid Phase Microextraction Followed by HPLC-DAD for Diazinon Analysis in Plasma Samples

Background: Diazinon is among the most prevalently used broad-spectrum organophosphates insecticides. Diazinon toxicity depends on its blood concentration. The current study aimed to extract and determine diazinon in plasma samples using a new Nebulizer -Assisted Liquid-Phase Microextraction followed by High-Performance Liquid Chromatography with Diode-Array Detection (NALPME-HPLC-DAD).Methods: Several effective parameters, including the type and volume of extracting solvent, pH, surfactant, salt amount, and nebulizing, were evaluated and optimized to find the best condition for the extraction and determination of diazinon in plasma samples using High-Performance Liquid Chromatography with Diode-Array Detection (HPLC-DAD). Additionally, the Plackett-Burman design was employed in preliminary experiments to screen the most appropriate parameters. Furthermore, we selected a central composite design to determine the best experimental conditions in NALPME-HPLC-DAD. Results: In an optimum condition, 412 μL of toluene (as extracting solvent) and nebulizing with nitrogen gas as dispersing and emulsification, sodium lauryl sulfate (2.8% w/v) and 100μL sodium chloride (1.5% w/v) in pH 8.1 were selected. The standard calibration curves for diazinon were linear with the concentration range of 0.5–4 µg/mL with a correlation coefficient of 0.9992. The Limit Of Detection (LOD) and Limit Of Quantification (LOQ) for diazinon were 0.123 µg/mL and 0.372 µg/mL, respectively.Conclusion: The proposed method was simple, accurate, precise, and sensitive for analyzing diazinon in the plasma samples. This method can be used for analyzing plasma diazinon concentrations in acute poisoning cases in clinical and forensic toxicology analyses

Amoxicillin removal from aqueous media using multi-walled carbon nanotubes

Multi-walled carbon nanotubes (MWCNT) were used to separate amoxicillin from aqueous media. The parameters affecting amoxicillin adsorption such as pH, temperature, time, interferences of similar molecules, and the amount of adsorbent used were studied. Amoxicillin adsorption using MWCNT was compared to that using Fullerene C60 and activated carbon (AC). The adsorption efficiency of 0.1 and 0.2 g of MWCNT using in a continuous mode were 86.5% and 87.9%, respectively. Evaluation of the adsorbent capacity showed that each gram of MWCNT can absorb 22.9 mg amoxicillin. The effect of pH was studied over the range 2–8 and revealed that adsorption of the amoxicillin at the initial pH of 4.6 was more effective than any other pH. The adsorption of amoxicillin on MWCNT was much greater than Fullerene C60 and AC. Adsorption data showed that they were best fitted to the Langmuir isotherm