Influence of Genotype and Haplotype of MDR1 (C3435T, G2677A/T, C1236T) on the Incidence of Breast Cancer - a Case-Control Study in Jordan

Abuhaliema, Ali M,Yousef, Al-Motassem F,El-Madany, Nirmeen N,Bulatova, Nailya R,Awwad, Nemah M,Yousef, Muhammad A,Al Majdalawi, Khalil Z Asian Pacific Journal of Cancer Prevention 2016 Asian Pacific journal of cancer prevention Vol.17 No.1

Background: Breast cancer is the leading cause of cancer death among women and the second in humans worldwide. Many published studies have suggested an association between MDR1 polymorphisms and breast cancer risk. Our aim was to study the association between genetic polymorphism of MDR1 at three sites (C3435T, G2677A/T, and C1236T) and their haplotype and the risk of breast cancer in Jordanian females. Materials and Methods: A case-control study involving 150 breast cancer cases and 150 controls was conducted. Controls were age-matched to cases. The polymerase chain reaction/restriction fragment length polymorphism (PCR-RFLP) technique and sequencing were performed to analyse genotypes. Results: The distribution of MDR1 C3435T genotypes differed between cases and controls [cases, CC 45.3%, CT 41.3%, and TT 13.3%; controls, CC 13.4%, CT 43.3%, and TT 30.2%, p < 0.001]. Similarly, the distribution of G2677A/T significantly differed [cases, GG 43.1 %, GT+GA 50.9% and AA+TT 6%; controls, GG 29.6 %, GT+GA 50.9%, and AA+TT 19.4%, p = 0.004]. On the other hand, genotype and allelotype distribution of C1236T was not statistically different between cases and controls (p=0.56 and 0.26, respectively). The CGC haplotype increased the risk to breast cancer by 2.5-fold compared to others, while TGC and TTC haplotypes carried 2.5- and 5-fold lower risk of breast cancer, respectively. Conclusions: Genetic polymorphisms of MDR1 C3435T and G2677A/T, but not C1236T, are associated with increased risk of breast cancer. In addition, CGC, TGC and TTC haplotypes have different impacts on the risk of breast cancer. Future, larger studies are needed to validate these findings.

The COVID-19 Pandemic and Instability of Stock Markets: An Empirical Analysis Using Panel Vector Error Correction Model

Yousef M. ABDULRAZZAQ,Mohammad A. ALI,Hesham A. ALMANSOURI 한국유통과학회 2022 The Journal of Asian Finance, Economics and Busine Vol.9 No.4

The objective of this research is to examine the influence of the COVID-19 pandemic on stock markets in a few developing and developed countries. This study uses daily data from January 2020 to May 2021 and obtained from World Health Organization and Thomson Reuters. The secondary data was evaluated through panel econometric methodology that includes different unit root tests, and to analyze the longrun relationship between variables, panel cointegration techniques were applied. The long-run causality among variables was examined through Panel Vector Error Correction Model. The overall findings of this study suggest a long-run association exists between several cases and death with the stock returns of the GCC and other stock markets. Furthermore, the VECM model also identified a long-run causality running from COVID cases and death towards the stock rerun of both sets of stock markets. However, a subsequent Wald test yielded mixed results, indicating no short-run causality between cases and deaths and stock returns in both groups; however, in the case of GCC, several COVID-19 cases are having a causal impact on stock markets, which is notable in light of the fact that the death rate in GCC is significantly lower than in many developed and developing countries.

Evaluation of the parameters affecting the Schmidt rebound hammer reading using ANFIS method

Ali Toghroli,Ehsan Darvishmoghaddam,Yousef Zandi,Mahdi Parvan,Maryam Safa,Mu’azu Mohammed Abdullahi,Abbas Heydari,Karzan Wakil,Saad A.M. Gebreel,Majid Khorami 사단법인 한국계산역학회 2018 Computers and Concrete, An International Journal Vol.21 No.5

As a nondestructive testing method, the Schmidt rebound hammer is widely used for structural health monitoring. During application, a Schmidt hammer hits the surface of a concrete mass. According to the principle of rebound, concrete strength depends on the hardness of the concrete energy surface. Study aims to identify the main variables affecting the results of Schmidt rebound hammer reading and consequently the results of structural health monitoring of concrete structures using adaptive neuro-fuzzy inference system (ANFIS). The ANFIS process for variable selection was applied for this purpose. This procedure comprises some methods that determine a subsection of the entire set of detailed factors, which present analytical capability. ANFIS was applied to complete a flexible search. Afterward, this method was applied to conclude how the five main factors (namely, age, silica fume, fine aggregate, coarse aggregate, and water) used in designing concrete mixture influence the Schmidt rebound hammer reading and consequently the structural health monitoring accuracy. Results show that water is considered the most significant parameter of the Schmidt rebound hammer reading. The details of this study are discussed thoroughly.

Activated Carbon/Silver-Doped Polyurethane Electrospun Nanofibers: Single Mat for Different Pollutants Treatment

Ayman Yousef,김학용,Nasser A. M. Barakat,TOUSEEFAMNA,Mohammad Ali Abdelkareem,라잔 우니탄 아페,Salem S. Al-Deyab 한국고분자학회 2012 Macromolecular Research Vol.20 No.12

Adsorption ability and antibacterial activity could be created in a single electrospun nanofiber mat. Activated carbon/silver-doped polyurethane electrospun nanofiber mats have been introduced as a novel multifunction nanostructural material. Production of the introduced mat could be achieved by electrospinning of a colloidal solution from polyurethane containing activated carbon nanoparticles and silver nitrate. The high electric field and the presence of N,N-dimethylformamide, which is used as a solvent, led to reduced silver precursor in the silver nanoparticles. The introduced mat revealed good adsorption ability toward methylene blue dye. The presence of silver nanoparticles resulted in good antibacterial activity for the introduced mat since a piece of the mat could completely eliminate Escherichia coli bacteria. Overall, according to the utilized physiochemical characterizations, the introduced mat can be used as a mask or filter media.

Development of a $^{68}Ga$-Fluorinated Porphyrin Complex as a Possible PET Imaging Agent

Fazaeli, Yousef,Jalilian, Amir R.,Amini, Mostafa M.,Ardaneh, Khosro,Rahiminejad, Ali,Bolourinovin, Fatemeh,Moradkhani, Sedigheh,Majdabadi, Abbas The Korea Society of Nuclear Medicine 2012 핵의학 분자영상 Vol.46 No.1

Aim Due to the interesting pharmacologic properties of porphyrins, the idea of developing a possible tumor imaging agent using PET by incorporating $^{68}Ga$ into a suitable porphyrin ligand was investigated. Methods $^{68}Ga$-labeled 5,10,15,20-tetrakis(pentafluoro-13 phenyl) porphyrin ($^{68}Ga$-TFPP) was prepared using freshly eluted $[^{68}Ga]GaCl_3$ obtained from a 68Ge/68Ga generator developed in-house and 5,10,15,20-tetrakis(pentafluorophenyl) porphyrin (H2TFPP) for 60 min at $100^{\circ}C$. Results The complex was prepared with high radiochemical purity (>99% ITLC, >99% HPLC, specific activity: 13-14 GBq/mmol). Stability of the complex was checked in the final formulation and in human serum for 5 h. The partition coefficient was calculated for the compound (log P = 0.62). The biodistribution of the labeled compound in vital organs of Swiss mice bearing fibrosarcoma tumors was studied using scarification studies and SPECT imaging up to 1 h. The complex was mostly washed out from the circulation through kidneys and liver. The tumor-to-muscle ratio 1 h post injection was 5.13. Conclusion The radiolabeled porphyrin complex demonstrated potential for further imaging studies in other tumor models.

Optimal Economic and Environmental Indices for Hybrid PV/ Wind-Based Battery Storage System

Elnozahy Ahmed,Yousef Ali M.,Ghoneim Sherif S. M.,Abdelwahab Saad A. Mohamed,Mohamed Moayed,Abo-Elyousr Farag K. 대한전기학회 2021 Journal of Electrical Engineering & Technology Vol.16 No.6

This paper shows an application of hybrid PV/wind energy and battery storage in the islanded area. This work’s main target allows the distributed energy resources to contribute effi ciently in the economic feasibility and enhance the environmental impact of the hybrid renewable energy source. Several factors such as levelized cost of energy (COE), greenhouse gas (GHG) emissions, and loss of power supply probability are studied. A combined solution is to compromise the economic and environmental aspects via the Utopia point approach is investigated. The optimal confi guration of the hybrid PV/wind along with battery-storage and diesel engine as secondary source is obtained via meta-heuristic optimizers: Genetic Algorithm (GA) and Particle-Swarm Optimization (PSO) and impartial comparison of the results with HOMER software. The results of Utopia point solution show that the PV (about 46%) and wind turbine (about 13%) are shared signifi cantly as primary renewable sources and battery storage (about 39%) as storage options. Meanwhile, the diesel engine (about 3%) has insignifi cant sharing in feeding the demand load. The optimal COE and GHG, which are achieved via GA and PSO optimization techniques are 0.182$/kWh and 12076 kg/year, agansit 0.343$/kWh and 17618 kg/year that are obtained via HOMER software, respectively. This corssponing to 47% and 31% reduction in COE and GHG, respectively. Sensitivity studies demonstrate that the variation of the wind energy sharing from 50 to 150% shows that the wind energy has a slight eff ect considering the GHG emissions. Contrarily, lower PV sharing ratios undesirably raises the levelized COE, however, reduces the GHG emissions.

Design of PID Controller with Grid Connected Hybrid Renewable Energy System Using Optimization Algorithms

Saleh B.,Yousef Ali M.,Ebeed Mohamed,Abo-Elyousr Farag K.,Elnozahy Ahmed,Mohamed Moayed,Abdelwahab Saad A. Mohamed 대한전기학회 2021 Journal of Electrical Engineering & Technology Vol.16 No.6

The main target of this paper is to allow renewable energy resources (RES) to participate eff ectively within hybrid micro grids via an optimal proportional integral- derivative (PID) controller. This paper proposes two techniques of optimal PID controllers in a hybrid renewable generation energy system. These techniques are particle swarm optimization (PSO) and lightning attachment procedure optimization (LAPO). The hybrid renewable generation energy system in this study includes a photovoltaic source, wind turbine, and battery storage, which are connected to a point of common coupling via DC/DC boost converters. The controller at the inverter consists of a current controller and voltage source controller, which results in three PID gains at each controller. In order to obtain the PID gains, a time domain objective function is formulated in terms of the voltage, and current errors. The obtained results with the individual advanced optimization LAPO and PSO algorithm are compared. The results display that the developed LAPO algorithms give better results compared to the conventional PSO at the input and output current, voltage, and power. All the results have been taken under several operating conditions of wind turbine (wind speed) and solar sun (changing irradiance and temperature).

Performance improvement of hybrid renewable energy sources connected to the grid using artificial neural network and sliding mode control

Elnozahy, Ahmed,Yousef, Ali M.,Abo‑Elyousr, Farag K.,Mohamed, Moayed,Abdelwahab, Saad A. Mohamed The Korean Institute of Power Electronics 2021 JOURNAL OF POWER ELECTRONICS Vol.21 No.8

The main purpose of this paper to compare and analyze three types of controllers in the three phases DC-AC inverters in hybrid renewable energy source (HRES) systems. To achieve this, two modern controllers are developed and compared based on sliding mode control (SMC) and artificial neural network techniques. The HRESs comprise photovoltaic (PV), wind turbines, battery storage systems, and transmission lines connected to infinite bus bars via a step-up transformer. The developed controllers at the inverter side utilize both voltage control and current regulation. A DC-DC boost converter is employed to set up a voltage demand at the point of common coupling (PCC). Then, the formulation of an HRES with the developed controllers is presented. The developed controllers are considered to operate under various solar radiations, temperatures, and wind speed loading conditions. The HRESs with the developed controllers are simulated via MATLAB/Simulink to verify the effectiveness of the developed controllers. The obtained results demonstrate that adaptive SMC and artificial ANN control techniques give better results in terms of input power, output power, current, and voltage when compared to classic PI control.

REVISITING THE (IN) EFFICIENCY OF EMERGING STOCK MARKETS

Khaled Elkhal,Ali F Darrat,Tarik M Yousef 사람과세계경영학회 2008 Global Business and Finance Review Vol.13 No.2

Previous evidence on market efficiency in emerging economies could be tainted by the presence of' thin trading and price non-linearity. We examine the impact of' thin trading by decomposing weekly stock returns into permanent and cyclical components and then subject the permanent component (correct index) to a battery of efficiency diagnostic tests: and account for price non-linearity by modeling stock returns in the context of an EGARCH-in-mean Our results from weekly returns in twenty emerging markets are unanimous in rejecting efficiency in all markets after adjustments for thin trading and price non-linearity. We also find evidence that regulatory reforms have enhanced market efficiency but only in some of the sampled markets. implying that emerging markets can benefit from further regulatory changes. Until then. though. several emerging markets remain a potential lucrative source of arbitrage opportunities for international investors

Robust and Intelligent Control for Single-stage Grid-Connected Modular Multilevel Converter in PV Applications

Hafez Ahmed A.,Mahmoud Alaa A.,Yousef Ali M. 대한전기학회 2021 Journal of Electrical Engineering & Technology Vol.16 No.2

Renewable Energy Resources (RESs) are frequently interfaced to the loads/grid via the standard two/three-level inverters. These inverter circuits to comply with the utility regulations must use volumetric and cumbersome fi ltering arrangements. Therefore, this article advises the application of Modular Multilevel Converter (MMC) for interfacing RESs in stand-alone and/or grid-connected operating modes. The MMC off ers high quality voltage/current/power waveforms without additional fi ltering requirements, which possibly reduce the size/cost of the interfacing circuits. A simple and innovative active and reactive power control is proposed to drive the proposed MMC such that PV arrays operate at Maximum Power Point (MPP) under diff erent climatological operating conditions. The proposed active-reactive control is implemented via Proportional Integral (PI) controllers; their parameters are defi ned via constraint optimization. Genetic Algorithm (GA) is used in this research to confi gure the PIs of the main controller. The objective function was designed to increase the stability margins of the system while reducing the overshoot. The proposed MMC has an extra freedom degree of generating/absorbing reactive power. The static and dynamic performances of MMC are analyzed via MATLAB and its dynamic platform, Simulink. The results showed that the proposed MMC produced signifi cantly lower Total Harmonic Distortion (THD) than the three-level inverters. The static performance of the MMC showed that the THD decreases signifi cantly with the increase of the converter level/sub-module number. The results raveled the robustness and eff ectiveness of the proposed controller, such that the PV generator operates at MPP while introducing high quality power/voltage to the loads/grid.