bluuebunny/crossref_metadata_2025_split huggingface dataset:
Using BAB to find Optimal Solution for Multi-Objective Function with Setup Time
Authors: Cheachen Hanan Ali , Joad Ghufran Khalil 
Published: May 2021

Abstract
In this paper we studied, the problem of scheduling jobs on a single machine to minimize the multiple objective function and family setup time. This objective function is (total discount completion time and maximum tardiness respectively) which formulated as

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. for solving this problem, we derived a lower bound to be used in a branch and bound algorithm. We also proposed heuristic method in order to get an upper bound (near optimal solution). the proposed is number of dominance rules are considered to reduce the number of branches in the search tree. The genetic algorithm (GA) is used to obtain one of the upper bounds is used. The computational results are calculated by coding (programing) the algorithms using (MATLAP) and the final results up to (17) product (jobs) in a reasonable time are introduced by tables and added at the end of the research.
Reliability of one Strength-four Stresses for Lomax Distribution
Authors: Khaleel Ahmed H. 
Published: May 2021

Abstract
In this paper, we find the reliability R of a component when it is exposed to four independent stresses and it having one strength for Lomax distribution. the reliability R was estimated by using four different estimations (MLE, RgE, LSE, and WLSE) methods. A comparison was made between the results of estimating the reliability function by MSE and MAPE criteria, that will get from a Monte Carlo simulation study. We found that the performance of ML is the best to.
A Statistical Study on the Parameters of the Skew Normal Distribution Depending on the Use of the Genetic Algorithm Using the Simulation Method
Authors: Alkhafaji Murtadha Alaa , Saleh Rabab Abdulrida 
Published: May 2021

Abstract
Recent statistical research has witnessed activity on the study of skew normal distribution (SND) due to the fact that the data set does not fit well with the normal distribution due to Skewnessand excessive Kurtosis. For the purpose of estimating the parameters of the model (SND), the maximum likelihood method (ML) was used, but the probability equations of this method do not have clear solutions in the distribution (SND), and the problem was solved using the genetic algorithm (GA) and Other repetitive techniques are Newton Raphson, Nelder Mead and Iteratively Reweighting Algorithm, using the simulation method with different sample sizes and comparing the preference of results methods used based on criteria (Mean, Mse and Def). It has been concluded that (ML) capabilities using the (GA) of parameters (SND) are best in the case of a small or medium sample size and the best (IR) algorithm at a large sample size.
Simultaneous Approximation by Modification of Classical Szãsz Operators with Parameter s
Authors: Mohammed Ali J. , Abdul-Qader T.A. , Abdul-Hammed S. A. 
Published: May 2021

Abstract
This paper is approving the simultaneous approximation order by a modification family of the classical sequence of Szãsz operators. This modification depends on a real parameter s > −1/2. First, we show that this family (or its derivatives) converges to the function (or the corresponding derivatives) being approximated. Next, a Voronovski-type asymptotic formula for this family is given. The order of this approximation is improved from the order O(n
−1) (the order of the classical sequence) to the order O(n
−(2s+1)) whenever s > 0. Finally, the study supports by some numerical examples and discusses the results obtained.
Approximate Solution of 2-Dimensional VO Linear Fractional Partial Differential Equation
Authors: Hasan Nabaa N. , Salim Omar H. 
Published: May 2021

AbstractThe non-polynomial spline method has been used to solving 2-dimensional variable-order(VO) fractional partial differential equations (FPDE). For VO fractional derivative, described in the sense of the Caputo. The main objective of this study and advantage of the proposed method is to investigate a public approximation for the frequency of the trigonometric functions of the non-polynomial part of the spline function. The powerful algorithm of the proposed method gives high accuracy results.
Interval value fuzzy hyper AT-algebras
Authors: Ali Saba Hussein , Kareem Fatema F. , Tawfeeq Areej 
Published: May 2021

Abstract
The aim of this work is to a connection between two concepts which are an interval value fuzzy set and a hyper AT-algebra. Also, some properties of these concepts are found. The notions of IVF hyper AT-subalgebras, IVF hyper ideals and IVF hyper AT-ideals are defined. Then IVF (weak, strong) hyper ideals and IVF (weak, strong) hyper AT-ideals are discussed. After that, some relations among these ideals are presented and some interesting theorems are proved.
Neural network for minimizing tricriteria objective function for machine scheduling problem
Authors: Ali Faez Hassan , Chachan Hanan Ali , Abdulkareem Sharmeen Bakr 
Published: May 2021

Abstract
In this paper, neural networks (NN) are implemented to manipulate a problem of machine scheduling for a single machine to minimize multicriteria objective function: maximum tardiness, maximum late work and total late work simultaneously (Tmax, Vmax, ΣVj). Also the results of applying NN are compared with some exact methods, some heuristic methods and local search methods [7,14]. The used NN is learned by pack propagation algorithm for n = 3: 500 jobs. NN technique was be found to be effective and used to select the best efficient and optimal schedule which minimizes the objective function.
New Procedure for Selecting Raise Vector in Raising Regression
Authors: Jabbar Rifaat Saad Abdul , Niaf Mustafa Ismaeel 
Published: May 2021

Abstract
One of the most important things in raise regression is selecting the raise factor λ. A new procedure for selecting the raised vector have been prepared with new technique for choosing the raising factor λ. Three different criterion have been used to study of this procedure, namely, scalar mean square error (MSE), determination coefficients R2, and the variance inflation factor (VIF). Also, some examples have been given to illustrate our finding. Where the best MSE, acceptable R2, VIF and reduce simultaneously the multicollinearity among vectors are the main results of this procedure by giving better estimate for raise factor λ which may apply in different fields that suffered from the problem of multicollinearity.
Restrained Whole Domination in Graphs
Authors: Ibrahim T A , Omran A A 
Published: May 2021

Abstract
In this paper, we introduce a new definition of domination number in graphs called restrained whole domination number and denoted byɣrwh(G). Some bounds and results for restrained whole domination number are established. Moreover, this number is computed to the complement of certain graphs. Finally, the Effective the deletion or addition an edge or the deletion of a vertex of the graph has this number is discussed.
A 4D hyperchaotic Sprott S system with multistability and hidden attractors
Authors: Al-hayali Maryam A. , Al-Azzawi Fawzi Saad 
Published: May 2021

Abstract
This paper derived a new simple hyperchaotic system from the famous Sprott, S system via the linear state feedback control. Compared with the available systems, the new system has eight terms, one constant, two parameters control, and a single quadratic nonlinear term. So this system is considered a simple relying on the number of terms and nonlinearities. The proposed system without equilibrium points and exhibits chaotic hidden attractors. Also, multistability or coexisting attractors are found through experimental simulations using phase portraits and the Lyapunov spectrum. Finally, anti-synchronization is implemented in the new system.
Resolution of Weyl Module in the case of skew partitions (9,7)/(s,0), when s = 1,2
Authors: Hassan Haytham Razooki , Nazem Rania , Rahman Rania Abdul Nazem 
Published: May 2021

Abstract
The aim of this work is, to study the resolution of a two-row weyl module in the case of skew partitions(9,7)/(s,0), when s=1,2, by using the technique of letter place algebra, place map(polarization) and contraction homotopy. The skew partitions case is one of the uncles of this study.
New restricted biased estimator based on modified unbiased ridge regression estimator
Authors: Mohammad Bader Aboud , Naif Mustafa Ismaeel 
Published: May 2021

Abstract
More researchers used biased estimators instead of the restricted least square estimator (RLS) that is unbiased to improve the efficiency of the estimator. Therefore, in this paper, we proposed new biased estimator, called restricted modified unbiased ridge regression (RMUR) based on modified unbiased ridge regression (MURR) that suggested by Batah and Gory (2009). By some theorems and a simulation study, we show that, this new estimator has desirable properties as the MUR and it is better than the RLS. A numerical example from literature is used to illustrate the results.
Truncated Exponential Topp Leone Exponential Distribution: Properties and Applications
Authors: Al-Noor Nadia Hashim , Hilal Omar Ali 
Published: May 2021

Abstract
A new flexible compound distribution with three parameters named Truncated Exponential Topp Leone Exponential (TETLE) is introduced as a sub-model of a new generator family named Truncated Exponential Topp Leone-G. Several keys of its statistical properties, order statistics, entropies, reliability analysis, and reliability stress strength model are presented. The maximum likelihood estimation method is implemented to estimate the unknown parameters. Moreover, to assess the flexibility and usefulness, the TETLE distribution applied upon simulation and two real-life data set. The consistent and flexible performance of the maximum likelihood estimates is clearly appeared by the simulation results and the results of the real application clearly shown that the proposed distribution has superior output relative to other considered distributions for all information criteria.
Choosing the best eestimated regression equation for data subject to geometric distribution (Student data as a case study)
Authors: Al-Quraishi Osanma Abdulazeez kadhim 
Published: May 2021

Abstract
The geometric distribution is one of the discrete statistical distributions that is important, especially in the of population statistics, such as studying population growth and death and birth rates, The discrepancy in the quality of the estimated regression models and the inability to use some models of them because they do not possess the characteristics of good estimates, lead to a lack of confidence in their predictive or estimated accuracy, which necessitated the study of the geometric distribution to which the data are subject and the estimation of the distribution regression equation using some of the parameter estimation methods (kernel regression method, Liu method) for data represented by preparing secondary students in the holy Karbala governorate with 50 views, and after the comparison between the results of estimating the two methods using the Standards Comparison (AIC, BIC, MSE) and determining the optimal way to estimate the geometric distribution equation The kernel regression is the best because it has the smallest values of the Standards Comparison and was used for the purpose of predicting the preparation of secondary students for the time period (2021-2030).
The KR-Elliptic Curve Public Key Cryptosystem
Authors: Aljamaly Karrar Taher R. , Ajeena Ruma Kareem K. 
Published: May 2021

Abstract
The connection between some fundamental mathematical problems in number theory with cryptography has been done in this work. A new version of the elliptic curve public key cryptosystem (ECPKC) has been proposed by Karrar Taher and Ruma Ajeena. Their main idea is to design this cryptosystem focusses on generating the elliptic curve group, its order divides the Euler phi function that is computed securely based on two large primes. Faster and more secure computations to generate the keys, encryption and decryption processes, on the KR-ECPK algorithm are discussed. In comparing with other algorithms like RSA and ElGamal public key cryptosystem (EEPKC), the KR-ECPKC considers as an efficient algorithm. So, the KR-ECPKC is more appropriate for elliptic curve cryptographic applications.
Proton Irradiation the DNA of Human Cells
Authors: Oudah Osamah Nawfal , Saied Bashair Mohammed 
Published: May 2021

Abstract
Proton beam therapy provides favorable physical characteristics to kill cancer cells. It is known that all living organisms contain DNA, so we will simulate the bombardment of dry DNA of human’s body cells by protons. The knowledge of stopping powers is very important especially for ion beam cancer therapy. The simulations first-principles dynamics helps the mostly employed linear description of response theory. The study denotes that DNA has suffered ionization by proton bombarding, which leads to long–lasting harm to human or cancer DNA that empowers us to diagnose the latter and treat it with radiation. Through using Bethe and Ziegler’s equations, and also the SRIM programs, we determine the stopping power of the interaction of proton with human’s DNA at approximate energy of 1 to 2.5 MeV. The human’s DNA components are made of five main elements. All mathematical processes and analysis are achieved using Matlab program. The results are introduced in tables and figures. The researchers have formulated the power equation that denotes the values of stopping power according to the range of energy under investigation.
The effect of potassium substitution on the properties of HgBa2Ca2Cu3O8+δCompound
Authors: Wadi Kassim Mahdi , Chillab Riyadh Kamil , Abdulateef Aqeel N. , Jasim Kareem A. , Shaban Auday H. , Hassan Maher A. , Jahil Sarab Saadi 
Published: May 2021

Abstract
This article reported investigations the effect of partial substitution potassium at calcium site for HgBa2Ca2Cu3O8+δ system with x from 0 to 0.2. All samples were prepared using solid state reaction technique. The samples were subjected to gross structural characterization by X-ray diffraction. The XRD data for the prepared samples are consistent with the Hg-1223 phases, and the analysis showed that the structures are tetragonal. Increasing potassium level results in decreasing the mass density (from 1.53 to 1.51), volume fraction (from 76.4 to 71.9), lattice parameters c, c/a length of c. Electrical resistance was testing by four-probe technique to determine the critical temperature, and it is noticed that the non-potassium HgBa2Ca2Cu3O8+δ compound has a critical temperature around 118 K, while introducing potassium in HgBa2Ca2-xKxCu3O8+δ compound with x=0.1 and 0.2 led to decrease the critical temperature to 110 K and 93 K, respectively.
Assessment of 222Rn gas concentrations in Educational laboratories of Department Physics in the College of Sciences, Al-Mustansiriya University
Authors: Hamad Hadeel Tariq , Karim Mahmood Salim , Kadhim Nada Farhan 
Published: May 2021

Abstract
In this article, internal CRn measure have been carried out in twenty-three locations various rooms and Laboratory of Department Physics in science college in the university of Mustansiriyah. CRn were measure by Rad-7 detector. The results show that, the maximum CRn in indoor rooms was found in Electronics Laboratory (64.9 Bq/m3), whilst the minimum CRn was found in room rapporteur of higher studies (2) / Department of Physics (24.3 Bq/m3), which was lower (200-300Bq/m3) indoor air and the value of parameters hazard indices were lower than the value of permissibility limit.
Antimicrobial activity by diffusion method using iron oxide nanoparticles prepared from (Rose plant) extract with rust iron
Authors: Abid Muslim A. , Latif L.A. , Kadhim Duha A. , Aziz Wisam J 
Published: May 2021

Abstract
This research succeeded in the prepared of iron oxide NPs using rose plant extract with rust iron extract at 300°C for two hours by simple chemical method. Iron oxide NPs have been developed as an death of antimicrobial as an alternative to toxic chemical drugs to prevent negative effects on human health. Iron oxide NPs were diagnosed using X-ray diffraction (XRD) analysis, Field Emission Scanning Electron Microscopy (FE-SEM) analysis, and Photoluminescence (PL) spectrum. XRD measurements explained the small crystalline size (61 nm) with (inverse cubic) structure (wustite) for (Fe0.9nO4) NPs at 300°C using rose plant extract. FESEM showed the average grain size of Fe902O NPs (wustite) rose plant extract at 300°C was 79.59 nm. PL spectrum determined a blue shift for the optical near band edge value was 2.75 eV for Fe0.911O NPs (wustite) at 300°C. Iron oxide NPs were applied in antimicrobial for removal of toxic bacterial by diffusion method. The success of this work will open wide new horizons for us in solving the problem of spent iron and how to get rid of it and the manufacture of new nanoparticles in medical treatments.
The substitutions of Strontium by yttrium and their effects on Bi2Sr2-xYxCa2Cu3O10+δ superconducting compound
Authors: Mohammed Laheeb A. , Jasim Kareem A. 
Published: May 2021

Abstract
Superconducting compound Bi2Sr2-xYxCa2Cu3O10+δ were Synthesized by method of solid state reaction, at 1033 K for 160 hours temperature of the sintering at normal atmospheric pressure where substitutions Yttrium oxide with Strontium. When Y2O3 concentration (0.0, 0.1, 0.2, 0.3, 0.4 and 0.5). All specimens of Bi2Sr2Ca2Cu3O10+δ superconducting compounds were examined. The resistivity of electrical was checked by the four point probe technique, It was found that the optimum and maximum transition temperature Tc = 125°K. The crystal structure studied by using XRD analysis and it was showed that the all specimens have tetragonal structures. Bi-2223phase increase by increasing Y2O3 concentration up x=0.4, The increasing addition Yttrium oxide concentration produce increasing in high-phase (Bi-2223) and c lattice parameter.
PV-Solar Power Generation in Educational Institutions
Authors: Oleiwi Fadhil Mahmood , Kasim Naseer K. , Atwan Ahmed F. 
Published: May 2021

Abstract
The PV solar system on the rooftop of buildings is a good source of renewable electric energy. Iraq has very large number of educational institutions with large non-invested rooftop with shortage of electrical energy supply. The present work aims at construction a simulation for PV-System action installed on rooftop of educational institutions in Baghdad using Green Power Solution (GPS) and PV-Syst programs. Based on the surface area of the schools’ roofs, the GPS program estimated three main PV-Systems which can be carried out, 63kW, 50kW, and 30kW in order to supply the electric power to selected school. Due to allocating few hours for school’s studying time along the year, the suitable PV-System is on-grid connection. The results indicated that the annual system performance ratio is 81.9% and the annual output power of these systems were 111.0 MWh/year, 88 MWh/year and 51.4 MWh/year respectively, 19.3MWh/year of them was consumed for this school and the rest is a feedback for grid. This green generation reduced the amount of emission CO2 by 73.981 tons, 62.216 tons and 36.3398 tons per year for systems 63kW, 50kW and 30kW respectively. The results also appear that the initial capital cost of each system can be recovered during the first six years of system operation.
A Comparison of Orthometric Heights Calculated from (GPS/Leveling) and (EGM08) Methods Based–GIS
Authors: Ghazal Nawal Khalaf , Saray Neran Saleh leaby 
Published: May 2021

Abstract
Interest in the study of global gravitational models has increased recently all over the world because it is necessary for height datum transformations. Today the International Center for Global Earth Models (ICGEM) provides the largest collection in the world produced through gravitational data from the gravitational satellite’s missions CHAMP, GRACE, and GOCE … Etc. To allow easy access through the internet with its more intelligent technologies, it is one of the International Gravity Organization’s services. While the Global Positioning System (GPS) has become one of the most preferred technologies in engineering surveying, a major dilemma in GPS survey lies in oval-based elevations. At the same time, orthometric heights are commonly used in the engineering field. Therefore, it is necessary to convert the measured heights by satellites assigned to the elliptical surface into orthometric heights and supported to the geoid surface (mean sea level) through an accurate geodetic model. The differences between orthometric measurement heights from DGPS/leveling data (obtained from 57 points in the study area) are increasingly used by professionals geographical information systems(GIS). However, the local determination of Geoid is necessary for better accuracy of the orthometric height from DGPS. This paper aims to introduce a modern technique for determining elevation, avoiding cumbersome and time-consuming spirit leveling operations. Fast vertical positioning can be obtained using DGPS with geoid models. The Root Mean Square Error (RMSE) is ± 0.19 m with high precision of DGPS derived with EGM08; thus, the more it describes the Earth’s gravitational field in more detail.
Effect of fillers (Bentonite - Zirconium) on the thermal behaviour of PVC polymer
Authors: Hasan Wasan K. 
Published: May 2021

Abstract
Thermal conductivity is one of the basic physical phenomena that can affect matter in heat quantities and explain what happens during the heat transfer process. The work indicates to the importance of investigate for effect of filler material Bentonite and ZrO2 on the thermal properties of polyvinyl chloride as a binder material with ratio of 3% compared with the ratio of Zirconium Oxide which was in the limits (0%, 5%, 10%, 15%) besides Bentonite, the burn process was carried out at various temperatures 800,900,1000,1100 and1200°C. The results showed a decrease in the values of thermal conductivity from (0.5-0.3 W/m.K) when adding zirconium oxide, while increasing the percentage of the Bentonite with increasing and the burning temperature led to the increment of thermal conductivity for the prepared samples.
Measurement of uranium concentrations in urine samples of adult healthy groups in Najaf governorate with estimation of urine concentrations of 8-OHdG compound as biomarker for DNA damage
Authors: Abbas Samia K. , Saleh Dhuha S. , Hussain Hayder S. 
Published: May 2021

Abstract
In this study, 88 healthy adults in Al-Najaf governorate of Iraq have been divided into three groups according to the type of exposure to radiation including environmentally uranium exposures n=29 (G1), occupationally exposures n=27 (G2), and non-uranium exposures n=32 (G3). All groups were subjected for estimation of uranium concentration in urine samples using CR-39 SSNTD method beside measurement of urine concentrations of 8-OHdG compound as a biomarker for oxidative DNA damage using Elisa technique. Reactive oxygen species produced under the effect of many causes including ionizing radiation exposure, (0 H)free radical induced the formation of 8-OHdG compound from cellular and mitochondrial DNA through attack of C-8 in purine ring of guanine base. The results showed that mean values of uranium concentration were (1.836±0.426 μg/L), (2.02±0.404 μg/L) and (1.755± 0.437 μg/L) for group1, group2 and group3, respectively. While mean values for 8-OHdG were (49.810±15.484 ng/ml), (47.717±14.232ng/ml) and (46.769±14.249ng/ml) for the three groups, respectively. No significant statistical differences were recorded between all data obtained. These results suggested the presence of uranium pollution in all groups including the non-exposed group as compared with reference value of (WHO, 2004). Results also demonstrate the presence of DNA oxidative damage in all groups according to concentration levels of 8-OHdG in urine samples. Therefore, the uranium pollution in urine samples of the examined groups indicate the presence of chronic low dose radiation source in Najaf governorate, which might be the cause of DNA damage as reflected by the urinary levels of 8-OHdG compound.