FLOOD EARLY WARNING SYSTEM IN I.R. OF IRAN

FARMANI GITA,SAMADI SINA 한국수자원학회 2005 한국수자원학회 학술대회 Vol.2005 No.1

Antiproliferative Evaluation and Apoptosis Induction in MCF-7 Cells by Ziziphus spina christi Leaf Extracts

Farmani, Fatemeh,Moein, Mahmoodreza,Amanzadeh, Amir,Kandelous, Hirsa Mostafapour,Ehsanpour, Zahra,Salimi, Mona Asian Pacific Journal of Cancer Prevention 2016 Asian Pacific journal of cancer prevention Vol.17 No.1

Background: Herbal medicine has becoming a potential source of treatment for different types of cancer including breast cancer. It has been shown that plants from the family Rhamnaceae possess anticancer activity. Objective: In this study, we determined the antiproliferative influence of Ziziphus spina christi- a species from this family- on the MCF-7 (human breast adenocarcinoma) cell line. Materials and Methods: The cytotoxicity of the total extract, ethanol, ethanol-aqueous (1:1) as well as aqueous fractions of Ziziphus spina christi leaves was evaluated through MTT assay against MCF-7 cell line. Cell cycle inhibition and apoptosis induction were assessed by flowcytometry cycle RNase/PI analysis and Annexin V-FLUOS, respectively. Apoptosis was also analyzed by immunoblotting assay. Results: Our results indicated that the ethanolic fraction had the lowest $IC_{50}$ value (0.02 mg/ml), induced cell cycle arrest at the G1/S phase as well as apoptosis after a 48h of treatment. Conclusions: This is the first report on anticancer effect of Ziziphus spina christi ethanolic fraction on breast cancer cells, providing a scientific basis for its utility in traditional medicine. However, further in-depth studies are needed to confirm the precise mechanisms.

Multiobjective optimization for force and moment balance of a four-bar linkage using evolutionary algorithms

Mohammad Reza Farmani,Abdolrahman Jaamialahmadi,Meisam Babaie 대한기계학회 2011 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.25 No.12

In this study, force and moment balance of a planar four-bar linkage is implemented using evolutionary algorithms . In the current problem, the concepts of inertia counterweights and physical pendulum are utilized to complete balance of all mass effects, independent of input angular velocity. A proposed multiobjective particle swarm optimization, and non-dominated sorting genetic algorithm II are applied to minimize two objective functions subject to some design constraints. The applied algorithms produced a set of feasible solutions called pareto optimal solutions for the design problem. Finally, a fuzzy decision maker is utilized to select the best solution among the obtained pareto solutions. The results show that optimal solutions minimize the weights of applied counterweights and eliminate both shaking forces and moments transmitted to the ground, simultaneously.

Voltammetric determination of copper in water samples using a Schiff base/carbon nanotube-modified carbon paste electrode

V. Izadkhah,A. Farmany,S.S. Mortazavi 한국공업화학회 2015 Journal of Industrial and Engineering Chemistry Vol.21 No.1

In the present study, a novel Schiff base modified multiwalled carbon nanotube paste sensor wasdeveloped for the determination of trace amounts of copper in environmental samples. It is based on theencapsulation of the C24H30N6 Schiff base onto multiwalled carbon nanotube paste electrode. Theoperating conditions regarding supporting electrolytes, deposition time and applied potential on thesensitivity of electrode were established and optimized in detail. The working curve was linear in theconcentration range of 0.09–340 mg L 1. The relative standard deviation for 3 replicate determination ofthe 30 mg L 1 Cu(II) was 1.47%. The detection limit and quantification limit were 0.01 and 0.06 mg L 1,respectively. The sensor was successfully applied to the determination of copper in the river and citywater.

A new modified multiwalled carbon nanotube paste electrode for quantification of tin in fruit juice and bottled water samples

S. Sobhanardakani,A. Farmany,S. Abbasi 한국공업화학회 2014 Journal of Industrial and Engineering Chemistry Vol.20 No.5

In this paper, a new modified multiwalled carbon nanotube electrode is reported for anodic stripping voltammetry quantification of tin. The electrode is based on the use of N-Nitrozo-N-Phenylhydrox-ylamine (cupferron) and multiwalled carbon nanotube. The influence of supporting electrolytes, deposition time, and applied potential on the sensitivity of electrode were investigated. The detection limit was 0.12 ng/ml and the RSD at a concentration level of 50 ng/ml, was 1.5%. The electrode has been applied for the determination of tin in fruit juice and bottled water with the satisfactory results.

Catalytic-oxidation of Janus green in the presence of AgNPs: Application to the determination of iodate

S.S. Mortazavi,A. Farmany 한국공업화학회 2014 Journal of Industrial and Engineering Chemistry Vol.20 No.6

Catalytic-oxidation of Janus green was made in the presence of AgNPs. The reaction was monitoredspectrophotometrically at 610 nm. The system was optimized for the trace analysis of iodate. Themethod is featured with good accuracy and reproducibility for iodate monitoring in real samples withoutany pre-concentration and separation step.

In Search of Engineered Prokaryotic Chlorophyllases: A Bioinformatics Approach

Ebrahim Sharafi,Jamshid Farmani,Ali Pakdin Parizi,Ali Dehestani 한국생물공학회 2018 Biotechnology and Bioprocess Engineering Vol.23 No.5

Chlorophyllase (Chlase) is considered as the first and most important enzyme in chlorophyll degradation pathway. Although there is abundant information regarding plant Chlases and their biological functions, comparatively little is known about their prokaryotic counterparts. In the present study, we employed several bioinformatics tools to assess the phylogenetic relationships in bacterial and cyanobacterial Chlases as well as predicting their molecular and physicochemical properties. The phylogenetic tree analysis classified the bacterial and cyanobacterial chlorophyllases into three distinct clades. All bacterial and cyanobacterial chlorophyllases possessed at least one alpha/ beta hydrolase family domain (pfam12695). Cyanobacterial chlorophyllases pI analysis indicated that they generally have acidic pH, while the pI of bacterial chlorophyllases ranged from acidic (4.58) to highly basic (10.78). Cyanobacterial chlorophyllases generally contained 1 disulfide bond, while bacterial chlorophyllases averagely contained 3 disulfide bonds. Interestingly, while cyanobacterial chlorophyllases contained one or two N-glycosylation sites, bacterial chlorophyllases contained higher numbers of N-glycosylation sites (6 and 7). The findings of the present study would be useful in paving the road for sophisticated engineering of prokaryotic chlorophyllases for biotechnological applications. It was also exhibited that catalytic triad (serine, glutamate or aspartate and histidine) is a critical factor for chlorophyllase activity.

A Comparison between Performance of Support Vector Regression and Artificial Neural Network in Prediction of Pipe Burst Rate in Water Distribution Networks

Akbar Shirzad,Massoud Tabesh,Raziyeh Farmani 대한토목학회 2014 KSCE JOURNAL OF CIVIL ENGINEERING Vol.18 No.4

One of the main reasons for rehabilitation of Water Distribution Networks (WDNs) is pipe failure. To evaluate the mechanicalreliability of a water distribution system, it is imperative that a relationship between pipe bursts and the effective parameters of thesystem is established. In recent years artificial intelligence techniques have been introduced as an effective method for prediction ofpipe bursts. This paper compares the performance of Artificial Neural Network (ANN) and Support Vector Regression (SVR) inpredicting the Pipe Burst Rate (PBR) in water distribution networks. In addition, the impact of hydraulic pressure on accuracy of thedata-driven pipe burst prediction model is studied, where average and maximum hydraulic pressure values are considered as inputvariables of the model. The data used for the analyses are from two real case studies in Iran. From the obtained results in both casestudies it can be concluded that ANN is better (universal) predictor than SVR, but cannot be easily used for generalization purposessince it is not consistent with the physical behavior observed. Thus, for water distribution system management purposes SVR can bepreferred over ANN. Also it can be said that use of average hydraulic pressure as an input variable results in improving theperformance of the model and the accuracy of predictions.

Silver nanoparticle-based spectrophotometric method for quantification of nile blue A in river water

S.S. Mortazavi,R. Sahraei,A. Farmany 한국공업화학회 2014 Journal of Industrial and Engineering Chemistry Vol.20 No.4

A novel and sensitive spectrophotometric method is developed for the determination of nanomolar level of nile blue A in water samples based on its catalytic effect of silver nanoparticles on the oxidation of nile blue A by hexacyanoferrate (III) in acetate-acetic acid medium and at 25 ℃. The absorbance is measured at 595.5 nm with the fixed-time method. The optimization of the operating conditions regarding concentration of the reagents, temperature and interferences is also investigated. The calibration curve is linear over the concentration range between 85 and 2000 nM of nile blue A with good precision and accuracy. The detection limit of the method is down to 54. The relative standard deviation for a standard solution of 100.0 nM of nile blue A is 1.63% (n = 10). The proposed method provides a highly sensitive, selective and relatively rapid assay for nile blue A at nanomolar level without any pre-concentration and separation step. The method was applied to the determination of nile blue A in river water samples.

Evaluating Kyphosis and Lordosis in Students by Using a Flexible Ruler and Their Relationship with Severity and Frequency of Thoracic and Lumbar Pain

Sedigheh-Sadat Mirbagheri,Amir Rahmani-Rasa,Farzad Farmani,Payam Amini,Mohammad-Reza Nikoo 대한척추외과학회 2015 Asian Spine Journal Vol.9 No.3

Study Design: A cross-sectional, descriptive study. Purpose: This study aimed to investigate the relationship between kyphosis and lordosis measured by using a flexible ruler and musculoskeletal pain in students of Hamadan University of Medical Sciences. Overview of Literature: The spine supports the body during different activities by maintaining appropriate body alignment and posture. Normal alignment of the spine depends on its structural, muscular, bony, and articular performance. Methods: Two hundred forty-one students participated in this study. A single examiner evaluated the angles of lumbar lordosis and thoracic kyphosis by using a flexible ruler. To determine the severity and frequency of pain in low-back and inter-scapular regions, a tailor-made questionnaire with visual analog scale was used. Finally, using the Kendall correlation coefficient, the data were statistically analyzed. Results: The mean value of lumbar lordosis was 34.46°±12.61° in female students and 22.46°±9.9° in male students. The mean value of lumbar lordosis significantly differed between female and male students (p <0.001). However, there was no difference in the level of the thoracic curve (p =0.288). Relationship between kyphosis measured by using a flexible ruler and inter-scapular pain in male and female students was not significant (p =0.946). However, the relationship between lumbar lordosis and low back pain was statistically significant (p =0.006). Also, no significant relationship was observed between abnormal kyphosis and frequency of inter-scapular pain, and between lumbar lordosis and low back pain. Conclusions: Lumbar lordosis contributes to low back pain. The causes of musculoskeletal pain could be muscle imbalance and muscle and ligament strain.