A study on relationship between electronic banking and liquidity management on Iranian banks

E-banking has been extensively developed in recent decades and most banks need to have such services in their daily activities. Therefore, it is necessary that banks do a better management on banks’ liquidity risks. Electronic banking and the expansion of its scale from POSs and ATMs to telephone banking, mobile banking and internet banking have increased banking transactions, significantly. The purpose of this investigation is to evaluate the relationship between the development of e-banking and liquidity management using liquidity ratios. The focus of this investigation has been on the amounts of transaction of ATM machines, POSs and PIN PADs as the most important means of electronic banking. In this respect, the data obtained from 14 private and public bank representatives of banking system over the period 2007-2012 are considered. Our survey indicates that the characteristics of electronic banking significantly influence on liquidity

TENSOR PRODUCT OF THE POWER GRAPHS OF SOME FINITE RINGS

Suppose R is a ring. The multiplicative power graph P(R) of R is the graphwhose vertices are elements of R, where two distinct vertices x and y are adjacent if and only if there exists a positive integer n such that x^n = y or y^n = x. In this paper, the tensor product of the power graphs of some nite rings and also some main properties of them will be studied

The Role of Advanced Echocardiographic Parameters of the Left Atrial Function in the Incidence of Cryptogenic Ischemic Stroke: A Review

Stroke is one of the primary causes of morbidity and mortality worldwide, including a large proportionof cryptogenic strokes. Long-term electrocardiographic monitoring is beneficial in prospective studies fordetecting atrial fibrillation in patients with cryptogenic stroke. This review aimed to evaluate the advancedechocardiographic parameters and their roles in assessing left atrial (LA) function in the incidence ofcryptogenic and ischemic strokes. Main resources, including PubMed, Scopus, and ISI Web of Sciencedatabases, were evaluated for articles published in English from 2010 until May 2021. LA echocardiographicparameters such as LA strain and strain rate, isovolumetric relaxation time (IVRT), the mean left atrialvolume index (LAVI), LA reservoir volume, systole strain rate (SSR) of left atrial appendage, and lack ofLA function response to maximal exercise as measured by the LA ejection fraction during rest and exercisecould be considered for assessing the risk of cryptogenic strokes and ischemic strokes. The results indicatedthat increased LA volumes and reduced LA strain rate were correlated with cryptogenic stroke. Advancedparameters of LA function, measured by speckle tracking echocardiography, such as strain and strainrate values in different parts of the cardiac cycle, in addition to standard measures of LA function suchas LA ejection fraction and LAVI, will define an excellent understanding regarding LA myopathy and riskassessment of cryptogenic stroke, independent of considering conventional cardiovascular risk factors

Assessing quality of life in nurses with chronic low back pain working in educational hospitals in Tabriz, 2013

Background and aims: Low back pain is a common problem throughout the world and Iran. Nurses also due to their working conditions are considered among high-risk groups. If this situation be chronic, it can have a serious impact on their quality of life, result in low quality of work, reduce the time to do useful work and increase the number of days missed. The aim of this study was to assess quality of life of patients with low back pain. Methods: In this descriptive- analytic study, 250 nurses working in educational hospitals in Tabriz admited to participate in this research in 2013. Data were collected by a two-part cheklist containing demographic characters and Modified Oswestry Low Back Pain questionnaire. The quality of life of nurses suffering from chronic low back pain was determined. Results: Of the total nurses participating in research, 65.8% (n = 250) obtained inclusion criteria. There was impaired quality of life in patients with chronic low back pain in moderate level in most nurses (38/04%). 6/88% of nurses'impairments was very severe. There was the most disruption in patients with chronic low back pain in the social relations and the least was related to self-care. It was reported experienced pain severity in nurses moderate to severe. Conclusions: The high prevalence of low back pain in nurses affects their quality of life. So, holding training classes and providing an environment with minimal risk factors for low back pain in nurses' work environments to reduce the individual, social and economic damage seems necessary

Shift working and risk of lipid disorders: A cross-sectional study

BACKGROUND: previous studies have indicated on association between shift work and lipid profile disturbances. Lipid profile disturbances could be due to internal desynchronization. The aim of this study was to analyze whether there is relationship between shift work and serum lipids, fasting blood glucose and hypertension. RESULTS: A total of 424 rail road workers between the ages of 21 and 64 years in this study filled out a questionnaire, and total cholesterol, triglyceride and HDL-C concentration were measured after 12-hours fasting. Association between shift work and biochemical variables and blood pressure were measured. The X(2 )and fisher's exact test was used for comparing the qualitative variables and for quantitative variables with normal distribution we used the parametric tests. Odds ratio (OR) with the 95% confidence interval (95% CI) was used for comparing the proportions of risk variables. Sub-populations in this study were consisting of 158 (37.3%) shift workers and 266 (62.7%) day workers. High levels of total cholesterol (> 200 mg/dl) and LDL-cholesterol (> 130 mg/dl) were significantly more prevalent in nearly all groups of shift workers irrespective of age. But there is no differences in the serum levels of triglyceride, HDL-C, fasting blood glucose and blood pressure between shift workers and day workers. Adjusted Odd's ratio for the effect of shift working on high serum total cholesterol and LDL-C level were 2.11(95%CI: 1.33–3.36) and 1.76(95%CI: 1.09–2.83), respectively. CONCLUSION: This study showed that high serum total cholesterol and LDL-C level were more common in shift workers than in day workers. This finding persisted after adjustment was made for age and food type. But there was no difference in the prevalence of HDL-C, triglyceride, fasting blood glucose and hypertension between shift working and day working. It was concluded that shift work is a risk factor for lipid profile disturbances

Older and younger adults are influenced differently by dark pattern designs

Considering that prior research has found older users undergo a different privacy decision-making process compared to younger adults, more research is needed to inform the behavioral privacy disclosure effects of these strategies for different age groups. To address this gap, we used an existing dataset of an experiment with a photo-tagging Facebook application. This experiment had a 2x2x5 between-subjects design where the manipulations were common dark pattern design strategies: framing (positive vs. negative), privacy defaults (opt-in vs. opt-out), and justification messages (positive normative, negative normative, positive rationale, negative rationale, none). We compared older (above 65 years old, N=44) and young adults (18 to 25 years old, N=162) privacy concerns and disclosure behaviors (i.e., accepting or refusing automated photo tagging) in the scope of dark pattern design. Overall, we find support for the effectiveness of dark pattern designs in the sense that positive framing and opt-out privacy defaults significantly increased disclosure behavior, while negative justification messages significantly decreased privacy concerns. Regarding older adults, our results show that certain dark patterns do lead to more disclosure than for younger adults, but also to increased privacy concerns for older adults than for younger

Global, regional, and national burden of disorders affecting the nervous system, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

BackgroundDisorders affecting the nervous system are diverse and include neurodevelopmental disorders, late-life neurodegeneration, and newly emergent conditions, such as cognitive impairment following COVID-19. Previous publications from the Global Burden of Disease, Injuries, and Risk Factor Study estimated the burden of 15 neurological conditions in 2015 and 2016, but these analyses did not include neurodevelopmental disorders, as defined by the International Classification of Diseases (ICD)-11, or a subset of cases of congenital, neonatal, and infectious conditions that cause neurological damage. Here, we estimate nervous system health loss caused by 37 unique conditions and their associated risk factors globally, regionally, and nationally from 1990 to 2021.MethodsWe estimated mortality, prevalence, years lived with disability (YLDs), years of life lost (YLLs), and disability-adjusted life-years (DALYs), with corresponding 95% uncertainty intervals (UIs), by age and sex in 204 countries and territories, from 1990 to 2021. We included morbidity and deaths due to neurological conditions, for which health loss is directly due to damage to the CNS or peripheral nervous system. We also isolated neurological health loss from conditions for which nervous system morbidity is a consequence, but not the primary feature, including a subset of congenital conditions (ie, chromosomal anomalies and congenital birth defects), neonatal conditions (ie, jaundice, preterm birth, and sepsis), infectious diseases (ie, COVID-19, cystic echinococcosis, malaria, syphilis, and Zika virus disease), and diabetic neuropathy. By conducting a sequela-level analysis of the health outcomes for these conditions, only cases where nervous system damage occurred were included, and YLDs were recalculated to isolate the non-fatal burden directly attributable to nervous system health loss. A comorbidity correction was used to calculate total prevalence of all conditions that affect the nervous system combined.FindingsGlobally, the 37 conditions affecting the nervous system were collectively ranked as the leading group cause of DALYs in 2021 (443 million, 95% UI 378–521), affecting 3·40 billion (3·20–3·62) individuals (43·1%, 40·5–45·9 of the global population); global DALY counts attributed to these conditions increased by 18·2% (8·7–26·7) between 1990 and 2021. Age-standardised rates of deaths per 100 000 people attributed to these conditions decreased from 1990 to 2021 by 33·6% (27·6–38·8), and age-standardised rates of DALYs attributed to these conditions decreased by 27·0% (21·5–32·4). Age-standardised prevalence was almost stable, with a change of 1·5% (0·7–2·4). The ten conditions with the highest age-standardised DALYs in 2021 were stroke, neonatal encephalopathy, migraine, Alzheimer's disease and other dementias, diabetic neuropathy, meningitis, epilepsy, neurological complications due to preterm birth, autism spectrum disorder, and nervous system cancer.InterpretationAs the leading cause of overall disease burden in the world, with increasing global DALY counts, effective prevention, treatment, and rehabilitation strategies for disorders affecting the nervous system are needed

Whether Regular Working Hours Can Minimize The Blood Bbiochemical Effects of Shift Working: Across-Sectional Study In Iran

Background:Irregular Working hours, including night work and shift work,have been found to be associated with alteration in various levels of biochemical factors. And some studies have showed association between shift work and blood biochemical disturbances in blood. In this epidemiological study we investigated,whether regular schedule of working hours can minimize the associated biochemical effects.Methods: Atotal of 442 air traffic controllers between the ages of 21 and 59 years in this study filled out questionnaire, and triglyceride, total cholesterol, and HDL-C concentration and FBS were measured after 12- hours fasting. The correlation between shift work and the biochemical variables was measured. The SPSS software version 11.5 and STATAversion 8 were used for statistical analysis, the X2 and fisher's exact test used for comparing the qualitative variables and the parametric tests for quantitative variables with normal distribution. Odd's ratio (OR), and 95% confidence interval (95% CI) were used for estimating the effect of shift work on lipid profile and high blood glucose levels. Logistic regression modeling was used for multivariable analysis and adjusting the effect of different variables.Results: sample size of this cross-sectional study was consisted of 305(69%) shift workers and 137(31%) day workers. The mean age of the shift workers was 40 ± 10 years old and the day workers 40 ± 9.The mean of variables in the present study for total cholesterol, LDL-C, HDL-C, triglyceride and fasting blood glucose in the shift workers were respectively: 195±37mg/dl, 116.8±34.8mg/dl, 48.2±15.1mg/dl, 154±80mg/dl, 92±20mg/dl and in the day workers were respectively: 200±40mg/dl, 125.3±38.6mg/dl, 48.8±23.3mg/dl,151± 77mg/dl, 90± 14mg/dl. Adjusted Odd's ratio for the effect of shift working on the biochemical blood factors did not change the results.Conclusion: This study showed that air traffic control workers with various shift did not   have any disturbances in their biochemical blood factors, and this finding persisted after adjustment was made for age. These results could be due to regular shift schedule as well as periodic evaluation for biochemical blood factors in this group. But this study did not rule out physiological and behavioral effects of working shift on the shift workers. It was concluded that shift workers should be on regular working schedule and examined periodically for biochemical blood factors, physiological flunctuation (gastrointestinal, endocrinal,cardiovascular….) and behavioral effects induced by variation in shift working

Preparation and Evaluation anticancer activity of D-glucosamine Nanoparticles on Metastatic cancer Model in vivo

Objective(s): Breast cancer imposes a highest rate of malignancy among the women all around the world. Chitin and its derivatives such as D-glucosamine-carboxymethyl chitin and Di-hydroxy propyl chitin have immune-modulating effects and influence on innate and acquisitive immunity which lead to cell activity enhancement. The aim of this study was investigating the effect of D-glucosamine nanoparticle on immune responses such as the changes in cytokines type 1 and 2 level in tumoral mice. Methods: Nanoparticles were synthesized by ionic gelation method and characterized by DLS and SEM methods. Tumors were induced in experimental mice and subsequently treated with nanoparticles. Then, the production of cytokine interferon-γ (IFN-γ) and interleukin 4 (IL-4) were evaluated. Results: The obtained results showed a significant increase in the level of IFN-γ production in the mice group treated with nanoparticles compared to control groups. Additionally, there was a reduction in the level of IL-4 and tumor size in the test group. Conclusions: D-glucosamine nanoparticles can be proposed as a stimulator of the immune system and a promising compound for cancer treatment in the future

Geological modelling of petroleum reservoir through multi-scale analysis of faults in complex media

Highlights • Accurate fault model can be built even when sparse drilling wells are available. • The multiresolution fault model provides information of faults with different sizes. • Fault model provides possibility of tectonic and fluid flow analysis simultaneously. • Modelling of faults in different scales, enable more accurate well path design. • The ANN provides optimized parameters for fault detection by ant tracking algorithm. Modelling faults plays a crucial step in the chain of studies through the first phase of the hydrocarbon exploration and its following studies in reservoir engineering, simulation and field development. This study introduces an innovative and automatic integrated approach that combines seismic multi-attributes and well data for faults modelling. The proposed strategy begins with extracting fault-related seismic attributes commonly used for seismic reservoir characterization. Chaos, variance and curvature attributes, typically highlight large-scale faults that shape the structural framework of the study field. In contrast, small-scale faults, influencing subsurface fluid flow in the fractured reservoir, are modeled using the ant-tracking algorithm applied to seismic data. Small-scale and large-scale fault models, then integrated with the conventional fault model to create an integrated discrete fracture network (DFN). This DFN model incorporates information on both large-scale and small-scale faults. The proposed strategy was applied on a geologically complex petroleum field in Iran. The results, validated using Formation Micro Imager (FMI) data, demonstrate accuracy of the integrated DFN model in comparison to conventional approaches on the studied filed, particularly in capturing small-scale faults. Consequently, it can be concluded that the proposed strategy provides a viable alternative for generating accurate DFN model