Computing Simple Roots by an Optimal Sixteenth-Order Class

The problem considered in this paper is to approximate the simple zeros of the function by iterative processes. An optimal 16th order class is constructed. The class is built by considering any of the optimal three-step derivative-involved methods in the first three steps of a four-step cycle in which the first derivative of the function at the fourth step is estimated by a combination of already known values. Per iteration, each method of the class reaches the efficiency index , by carrying out four evaluations of the function and one evaluation of the first derivative. The error equation for one technique of the class is furnished analytically. Some methods of the class are tested by challenging the existing high-order methods. The interval Newton's method is given as a tool for extracting enough accurate initial approximations to start such high-order methods. The obtained numerical results show that the derived methods are accurate and efficient

Entropy as logarithmic term of the central charge and modified Friedmann equation in AdS/CFT correspondence

This paper is about the extended thermodynamics of AdS black holes and its relation to CFT thermodynamics. The logarithmic term of the central charge is interpreted as black hole entropy. We have obtain a modified Friedmann equation from the Smarr formula. We find that the AdS radius is the critical shadow radius. We obtain the Hawking-Bekenstein formula with logarithmic corrections, which depends on the central charge. The real gas in AdS is a dual of an ideal gas in CFT. This work can be extended to the AdS-Kerr black holes.Comment: 22 pages, 4 figure

The study of relationship between serum levels of soluble fms-like tyrosine kinase-1 and soluble fibrinogen-like protein 2 with delayed graft function after kidney transplantation

Delayed graft function (DGF) is a transplant complication which means a need to dialysis throughout the first week after transplantation. This study aimed to ascertain the relationship between the two immunomodulatory factors of soluble fms-like tyrosine kinase-1 (sFlt-1) and soluble fibrinogen-like protein 2 (sFGL-2) with DGF after transplantation. This case-control study was done in 2 groups of 58 kidney transplant patients with and without DGF. The control group included the patients who didn't show DGF symptoms. Then, serum levels of sFlt-1and sFGL-2 in all blood samples were measured by ELISA. Serum sFlt-1 and sFGL-2 levels were significantly higher in the DGF group compared to those in the control group (p�0.001). sFlt-1 and sFGL-2 serum levels significantly affect DGF (p<0.001) in such a way that they may be diagnostic factors of DGF. This study showed a significant relationship between sFlt-1 as well as sFGL-2 and DGF. Therefore, plasma levels of sFlt-1 and sFGL-2 may be used as diagnostic tools to determine the risk of DGF. © August 2019, Iran J Allergy Asthma Immunol

The Ferromagnetic and half metallic behaviors of Fe- and Co- doped SnO2 within Local Density Approximation and Self-Interaction-Corrected

Using ab-initio calculation based on the Korringa-Kohn-Rostoker Coherent Potential Approximation (KKR-CPA) method in connection with the local density approximation without and within self-interaction-corrected (LDA and LDA-SIC), we represent a theoretical study of the SnO2 doped system with transition metals (TM) which are Iron (Fe) and Cobalt (Co). In this system, the stability of the ferromagnetic state compared with the spin-glass state is investigated by comparing their total energies. The Ferromagnetic and half metallic behaviors was observed and conformed with the local-moment-disordered (LMD) state energy for LDA (local density approximation) and LDA-SIC (local density approximation-self-interaction correction) approximation in [Sn0.95TM0.05(Fe or Co)]O2 . Based on mean field method, the Curie temperature is estimated. To explain the origin of magnetic behavior, we give information about total and atom projected density of states functions of Fe and Co elements and we propose a model which describes magnetic interaction in [Sn0.95TM0.05(Fe or Co)]O2

PTEN and p53 gene expressions in breast cancer specimens and their clinicopathological significance

Background: Breast cancer is the second leading cause of cancer death after lung cancer. Discovering molecular biomarkers is necessary for disease management that includes prognosis prediction and preventive treatment. The aim of this study is to evaluate the expression value of p53 and PTEN as molecular biomarkers of breast cancer and their relation with clinicopathological characteristics. Methods: In this study, 100 breast cancer and 20 normal samples were subjected to investigation. Total RNA was isolated and we measured RNA expression by real-time RT-PCR. Data were analyzed by REST 2009 and SPSS. Results: Gene expression results showed up-regulation of P53 in 53 breast cancer subjects and PTEN in 52 breast cancer subjects compared with normal controls. However, there was lower P53 expression in 25 breast cancer samples compared to normal tissues. PTEN expression was lower in 26 breast cancer samples than normal tissues. p53 showed a significant relationship to HER2 receptor (P=0.024) and menopausal status (P=0.013); no significant relationships existed with other clinicopathological parameters (P>0.05). PTEN had the only significant correlation with lymphatic invasion (P=0.046) without any relation with other clinicopathological features (P>0.05). PTEN expression had no significant association with p53 expression in the studied population (P=0.074). Conclusion: Combined detection of PTEN and p53 may have the potential to estimate the pathobiological behavior and prognosis of breast cancer. Due to the heterogeneous nature of cancer and the presence of different factors involved in the clinical situation of breast cancer, we suggest a study of a larger population and more biomarkers. © 2018, Shiraz University of Medical Sciences. All rights reserved

PTEN and p53 gene expressions in breast cancer specimens and their clinicopathological significance

Background: Breast cancer is the second leading cause of cancer death after lung cancer. Discovering molecular biomarkers is necessary for disease management that includes prognosis prediction and preventive treatment. The aim of this study is to evaluate the expression value of p53 and PTEN as molecular biomarkers of breast cancer and their relation with clinicopathological characteristics. Methods: In this study, 100 breast cancer and 20 normal samples were subjected to investigation. Total RNA was isolated and we measured RNA expression by real-time RT-PCR. Data were analyzed by REST 2009 and SPSS. Results: Gene expression results showed up-regulation of P53 in 53 breast cancer subjects and PTEN in 52 breast cancer subjects compared with normal controls. However, there was lower P53 expression in 25 breast cancer samples compared to normal tissues. PTEN expression was lower in 26 breast cancer samples than normal tissues. p53 showed a significant relationship to HER2 receptor (P=0.024) and menopausal status (P=0.013); no significant relationships existed with other clinicopathological parameters (P>0.05). PTEN had the only significant correlation with lymphatic invasion (P=0.046) without any relation with other clinicopathological features (P>0.05). PTEN expression had no significant association with p53 expression in the studied population (P=0.074). Conclusion: Combined detection of PTEN and p53 may have the potential to estimate the pathobiological behavior and prognosis of breast cancer. Due to the heterogeneous nature of cancer and the presence of different factors involved in the clinical situation of breast cancer, we suggest a study of a larger population and more biomarkers. © 2018, Shiraz University of Medical Sciences. All rights reserved

Erratum: Correction to: Conceptual model of managing health care volunteers in disasters: a mixed method study (BMC health services research (2019) 19 1 (241))

In the original publication of this article 1, the percent sign at the first row of the Table 2 needs to be deleted. The updated Table 2 is shown below

Pathotypic and phylogenetic study of diarrheagenic Escherichia coli and uropathogenic E. Coli using multiplex polymerase chain reaction

Background: Acute diarrheal disease and urinary tract infection are leading causes of childhood morbidity and mortality in the developing world. Diarrheagenic Escherichia coli (DEC) has been identified as a major etiologic agent of diarrhea worldwide, and urinary tract infection (UTI) caused by uropathogenic Escherichia coli (UPEC) is one of the most common bacterial infections among human beings. Quick and precise detection of these bacteria help provide more effective intervention and management of infection. Objectives: In this study we present a precise and sensitive typing and phylogenetic study of UPEC and DEC using multiplex PCR in order to simplify and improve the intervention and management of diarrheal and UT infections. Materials and Methods: In total, 100 urinary tract infection samples (UTI) and 200 specimens from children with diarrhea, which had been diagnosed with E. coli as the underlying agent by differential diagnosis using MacConkey�s agar and biochemical study, were submitted for molecular detection. Pathotyping of E. coli pathotypes causing urinary tract infection and diarrhea were examined using a two set multiplex PCR, targeting six specific genes. Phylogenetic typing was done by targeting three genes, including ChuA, YjaA and TspE4C2. Results: Overall, 88 of DEC and 54 of UTI isolates were positive for one or more of the six genes encoding virulence factors. Prevalence of the genes encoding virulence factors for DEC were 62, 25, 24, 13, 7 and 5 for ST (ETEC), LT (ETEC), aggR (EAggEC), daaD (DAEC), invE (EIEC) and eae (EPEC), respectively; whereas, the prevalence rates for the UTI samples were 23, 14, 6, 6 and 4 for aggR (EAggEC), LT (ETEC), daaD (DAEC), invE (EIEC) and ST (ETEC), respectively. No coding virulence factors were detected for eae (EPEC). Group B2 was the most prevalent phylogroup and ST was the most frequently detected pathotype in all phylogroups. Conclusions: ETEC and EAggEC were the most detected E. coli among stool and UTI samples, emphasizing the need to ded cate more health care attention to this group. In addition, our phylogenetic study may be helpful in figuring out the infection origin and for epidemiological studies. Nonetheless, more research studies with larger sample sizes are suggested for confirming our results. © 2016, Ahvaz Jundishapur University of Medical Sciences

Conceptual model of managing health care volunteers in disasters: A mixed method study

Background: Shortage of specialized healthcare volunteers is a major challenge during disasters and one solution could be pre-identified healthcare volunteers. This study aimed to develop a conceptual model of managing Iranian healthcare volunteers in disasters. Methods: This mixed method study was designed in two phases. A qualitative study using semi-structured interviews was conducted with 22 health professionals and key informant. The interviews were analyzed by framework analysis. In the second phase, concepts derived from the first step were evaluated in a two round Delphi study by an expert panel comprised of 42 experts. Results: Two themes and eight subthemes were identified based on the results of the first phase. The theme of background requirements included three sub-themes of laws and regulations, NGOs and socio-cultural factors. The second theme was called operational requirements which included six subthemes of preparedness, response, retention, relocation, terminating and follow-up. According to the results of the Delphi study, all of the concepts were confirmed. Conclusion: In addition to the need for supportive legal framework and building the culture of volunteering, it seems it is crucial to identify and prepare the health care volunteers in the preparedness phase and assign them appropriately in the response phase. Furthermore, the necessary measures should be prioritized to enhance volunteers' retention rate and motivation. Plans should also be implemented for volunteers' termination and volunteers' physical and mental health follow up after their mission. © 2019 The Author(s)

Conceptual model of managing health care volunteers in disasters: A mixed method study

Background: Shortage of specialized healthcare volunteers is a major challenge during disasters and one solution could be pre-identified healthcare volunteers. This study aimed to develop a conceptual model of managing Iranian healthcare volunteers in disasters. Methods: This mixed method study was designed in two phases. A qualitative study using semi-structured interviews was conducted with 22 health professionals and key informant. The interviews were analyzed by framework analysis. In the second phase, concepts derived from the first step were evaluated in a two round Delphi study by an expert panel comprised of 42 experts. Results: Two themes and eight subthemes were identified based on the results of the first phase. The theme of background requirements included three sub-themes of laws and regulations, NGOs and socio-cultural factors. The second theme was called operational requirements which included six subthemes of preparedness, response, retention, relocation, terminating and follow-up. According to the results of the Delphi study, all of the concepts were confirmed. Conclusion: In addition to the need for supportive legal framework and building the culture of volunteering, it seems it is crucial to identify and prepare the health care volunteers in the preparedness phase and assign them appropriately in the response phase. Furthermore, the necessary measures should be prioritized to enhance volunteers' retention rate and motivation. Plans should also be implemented for volunteers' termination and volunteers' physical and mental health follow up after their mission. © 2019 The Author(s)