bluuebunny/crossref_metadata_2025_split huggingface dataset:
Plasmon effects in the two-photon Rabi oscillations in a strongly coupled semiconductor quantum dot–metal nanoshell composite
Authors: Nugroho B S , Arman Y 
Published: March 2021

Abstract
We theoretically study two-photon Rabi oscillations (TPRO) in a nanocomposite comprising a semiconductor quantum dot (SQD) strongly coupled to a metallic nanoshell (MNS), which undergoes a pulsed excitation. The SQD is modeled as a three-level ladder-like quantum system (ground, one-exciton, and bi-exciton states). Its optical dynamics is described quantum-mechanically within the density matrix formalism framework, while the MNS is treated classically through its frequency-dependent polarizability. We find two effects of the presence of a MNS in close proximity to the SQD: (a) - a sufficient increase of the number of Rabi cycles as compared to the case of an isolated SQD and (b) - incoherent population of the one-exciton state giving rise to the destruction of the TPRO.
Molecular dynamics study of hydrogen diffusion in the C2 Hydrogen Hydrates
Authors: Arman Y , Nugroho B S 
Published: March 2021

Abstract
We performed molecular dynamics calculation to study hydrogen molecules’ diffusion in the voids of C2 hydrogen hydrate with varied occupancy at 291K and 4GPa. The same hydrate systems under pressure conditions of 76MPa to 174.2MPa at 77K to 150K were also investigated. LAMMPS molecular dynamics program is employed to the 3×3×3 unit cells with periodic boundary conditions of C2 hydrogen hydrate. TIP4P/Ice and three sites were used to model water molecules and the encapsulated hydrogen gas, respectively. The whole system was simulated for 10ns. The diffusion coefficient calculations show conformity with the experimental results, with the highest of 9.07 × 10−9 cm2s−1 shown by a system of 80% hydrogen gas occupancy under 291K and 4GPa of temperature and pressure, respectively. Hydrogen gases are actively diffuse between voids in every simulated system configuration.
Designing A Rainstorm Over AL-Zafran Valley Basin and Modelling Surface Runoff Using Modern Geographic Techniques
Authors: Farakid Ubaid Kazim Al-Masoudi A.T. , Nasser Wali Frih Al-Rikabi P.DR 
Published: March 2021

Abstract
Initially, the research includes building a geographic information base for the basin. Moreover, the DEM satellite imagery was used to map the drainage network in AL-Zafran Valley, and these maps were entered into Arc GIS 10.7. A map of the river basin and the water network was produced, classified according to the method of introduction and application of valley analysis within Arc GIS and mapping software. Digital elevations and contour lines of the study area. Digital maps were produced and various linear measurements were taken and some spatial relationships were made between the various features of the basin. The natural characteristics that affect the basin were also studied, especially the rocky nature, climatic and topographical characteristics. The total area of the basin was (612.4 km2), and a topographic model was drawn that reflects its topographical characteristics and the extent of its impact on the characteristics of the river network. Therefore, the adoption of new technologies played a role in knowledge. The precise details of the study area without resorting to the field study as rainstorms (modeling) after designing a rainstorm, and its intensity varies and shows the correlation of flood waves, modeling and simulation with realistic data with the intensity of rain. This was done using recent software, including the 10.1W (watershed) watershed model program, the WMS10.1 program (HYDROCAD (HEC-HMS)) to find rainfall intensity and its relationship to surface runoff in AL-Zafran Valley Basin, and the Surfer 13 program and system. Geographic Information - ARC10. Scene 7 and QGIS 3.8 geo-modelling program.
Identification of Analogue Modulated Signal via Artificial Intelligence
Authors: Khalaf Mohammed S. , Wahab Aeizaal Azman A. , Alhady S.S.N. , Husin H. , Othman W.A.F.W. 
Published: March 2021

Abstract
Referring to a huge usage of the analogue modulated signal in both civilian and military applications, and impotency of identification it, the importance is came from many reasons also to how to get an algorithm to recognize an analogue modulated signal via AI for high performance of identification and simple to use. The identification is a middle-step between recognizing and signal demodulation. Selecting the most suitable variables are for input modulated signal and with (AI) assistant to identify some of analogue modulated signals such as (AM, DSB, SSB, and FM). Using simulation with Gaussian noise (0 dB to 10 dB) and AI. Classification system consisting from 3 parts: 1-Pre-processing stage which is talking about Feature keys extraction did. The element keys extraction did so as to get input include keys for the AAMR classifier, 2-Training stage which talked about the preparation, and Analog programmed adjustment acknowledgment (AAMR) classifier advancement., and 3-Testing stage which talked on the classifier performance evaluated using 25% of all generated data as a test data. Using two algorithms (SCG and CONJGRAD), In the SCG, the possibility of each single key feature for each single modulation scheme with variance SNR results got. A couple of methods compared and the results show that the performance of the AI based recognition system is superior to the decision classifiers based on way with less SNR values. Both of the suggested identification systems are capable to discriminate (AM, DSB, SSB, and FM) at SNR>5 dB with a success rate 100%.
The cyclic Decomposition of the Factor Group ∁F(2
2k×D4, ℤ)/

ρ¯

(2
2k×D4) When κ is a prime Number
Authors: Jabir Naba Hasoon 
Published: March 2021

Abstract
In this paper we find the Circular Divison of The ℱactor Group cℱ(2
2κ×D4, ℤ)/

ρ

¯

(2
2κ ×D4) when κ is a prime number, where 2
2κ is denoted to Quaternion group of order 4k, such that for each positive integer n, there are two generators X and Y for 2
2κ satisfies Q2k={ X i Y j, 0≤ i ≤ 2κ − 1, j=0, 1} which has the following properties{ X 2k=Y 4=I, Y
X k Y -1=X -k} and D4 is the Dihedral group of order 8 is generate by a rotation e of order 4 and reflection f of order 2 then 8 elements of D4 can be written as: {I*, e, e2, e3, f, fe, fe2, fe3}.
Some Results in Grűnwald-Letnikov Fractional Derivative and its Best Approximation
Authors: Hassan Sura Khayoon , Ali Alazzawi Saad Naji , Ibrahem Nadia M.J. 
Published: March 2021

Abstract
In This paper, we have been approximated Grűnwald-Letnikov Derivative of a function having m continuous derivatives by Bernstein Chlodowsky polynomials with proving its best approximation. As well as we have been solved Bagley-Torvik equation and Fokker–Planck equation where the derivative is in Grűnwald-Letnikov sense.
Preparation and (TiO2-ZnO) Polyethelene for Food Preservation
Authors: Hilal Zahraa Hadi , Jabbar Shorouq Jasim 
Published: March 2021

Abstract
The polymer nanocomposite was prepared using low-density polyethylene and each of (titanium oxide and zinc oxide) nanoparticles by casting method. The nanoparticles were synthesized via the UV-irradiation method. structural properties of TiO2 and ZnO nanoparticles studied by x-ray diffractions so the grain size of nanoparticles ranged between (10-12) nm. mechanical properties of the nanocomposites improve as the ratio of nanoparticles in polymer increased, compared to pure LDPE. Given that studies show that using this 2.5 Gy of gamma Rayes irradiated of nanocomposites improved that fantastic for use as food packaging. Besides, the polymer nanocomposites proved that antimicrobial properties against the E. coli, since it releases the nanoparticle’s cations.
Using Digital Image Processing in analyzing Air Pollutants’ Effects for two Smoke Types Upon a Colored Tested Image
Authors: Ahmed Harith M. , Al-Obaidi Fatin E. M. , Al-Zuky Ali A. D. , Al-Saleh Anwar H. 
Published: March 2021

Abstract
Local environmental problems such as noises, red tides, air pollution and water clarity that obstructed the comfortable human lives take an attension through the last few decades. Air pollution as an example can cause a variety of health problems, and may cause haze, smog, reduces visibility, dirties, damages buildings, other landmarks, and harms trees, lakes and animals. So, in order to study smoke effect, a comparison study for two smoke types had been taken into considerations to study air pollutants upon a colored scence inside a wooden system designed for this purpose. In such system two kind of smoke sources had been utilized, a burning incense is used as a white smoke emission and the second one is by burning a piece of rubber and nylon with crude oil as a source for black smoke emission. Results show a similar behavior of the wavelength spectrum of all ink colors for both smoke types. The particulate oil in the black smoke affects strongly upon an ink absorption/reflection spectrum through shifting the spectrum toward the lowest values of gray level intensities (i.e. darker pixels) and this is due to the higher scattering efficiency which is dominant in this case.
Asymptotic for Lasso Estimator in High-Dimensional Repeated Measurements Model
Authors: Jassim Naser Oda , Saber Al-Mouel Andul Hussein 
Published: March 2021

AbstractIn this paper, we propose high-dimensional repeated measurements model and using the Bridge estimator as penalized method that minimizes the residual sum of squares plus penalty term ∑|θj|γ. After that, under appropriate conditions, we discuss the consistency and asymptotic behavior of lasso estimator whenγ= 1 as especial case and also study the consistency and limiting distribution of the Bridge estimators whenγ< 1 andγ> 1. Moreover, we discuss the asymptotic of estimators by using small parameter and local asymptotic. In other words, we discuss the asymptotic behavior in a triangular array of observations.
Effect of Diabetes on Laboratory Markers in Patients with Non-ST Elevation Acute Coronary Syndromes
Authors: Mohammed Sadiq Suad Mahdi , Dakhil Mohammed Atiyah , Dakhil Zainab Atiyah 
Published: March 2021

AbstractBackground: Diabetic population are at high cardiovascular risk especially in the setting of acute coronary syndromes. This study aimed to investigate the role of diabetes in affecting the main biochemical and haematological markers in patients with non-ST elevation acute coronary syndromes (NSTE-ACS). Methods: A multicentre cross-sectional study recruited patients who were admitted and diagnosed as NSTE-ACS, data were collected from patients using a prepared printed form that recorded patients′ age, comorbidities and results of investigations. Patients were categorized into diabetics and non-diabetics. Results: Ninety-nine patients were enrolled, 39.4% were diabetic, mean age of diabetics was (61.3±10.9) years vs (57.7±12.6) years in non-diabetics, diabetic patients were more to be females 23.1% vs 21.7%, more to have IHD history 58.97% vs 35%, more be hypertensive 69.2% vs 55%, less to be smokers 33.3% vs 38.3% and hyperlipidaemic 30.8% vs 33.3% when compared to non-diabetic counterparts, however, the differences in baseline characteristics between the two groups did not reach statistical significance apart from the more reported history of IHD in diabetics; p=0.019. Diabetic patients tend to be presented more with dyspnoea compared to non-diabetics 41% vs 26.7%. Positive troponin was more to be positive in diabetics (48.7% vs 40%), diabetic patients tend to have higher urea (46.2±19.2 vs 39.6±23.6) and higher creatinine (1.07±0.37 vs 0.95±0.37). Random blood sugar (268.3±115 vs 125.5±50.2, p<0.001) and serum potassium (4.4±0.63 vs 4.12±0.52, p=0.015) were significantly higher in diabetic patients. Conclusion: Apart from higher blood glucose and serum potassium levels, in the setting of NSTE-ACS; presence of diabetes has no remarkable impact on biochemical and haematological markers when compared to non-diabetic population. This needs larger studies in the future to validate these findings and to assess the prognostic significance of laboratory markers in diabetics with acute coronary syndromes especially in low-resources countries where more sophisticated markers are not feasible.
Exact and Hybrid Metaheuristic Algorithms to Solve Bi-Objective Permutation Flow Shop Scheduling Problem
Authors: Motair Hafed M. 
Published: March 2021

Abstract
In this paper, we consider 2-machine permutation flow shop scheduling problem with bi-objective of minimizing the makespan (C

max
) and maximum tardiness (T

max
). The aim is to minimize the two objective functions lexicographicaly, which is minimize maximum tardiness subject to that the makespan is optimal. We introduce a Branch and bound algorithm with two dominance conditions to find the optimal solution of the problem for job sequence with up to 14 jobs. For moderate and large sized problems we apply a simulated annealing algorithm to develop a metaheuristic algorithme based on the first level branch and bound and variable neighborhood search. To compare with the original algorithm, numerical experiments provided, the rusults shows the efficiency of the dominance conditions also the efficiency of proposed modification of the original metaheuristic algorithm.
Study of the Effect of Doping with Alumina and Silica the Structural and Electrical Properties of Epoxy
Authors: Esmaeel Suroor N. , Raoof Lamyaa M. , Dagher Hala F. , Hussein Itab F. 
Published: March 2021

Abstract
Crystalline structure of a sample of Alumina (Al2O3 – reinforced epoxy) at (4% and 8%) has two prominent peaks at point (17°) and (19.5°) with miller vectors (111) and (220), respectively. These results are corresponding to crystalline cubic and notes growing of crystallization. The spectrum of (XRD) showed increase in crystalline size which means an increase in randomization and a lack of crystallization amorphous at (6%) (Al2O3). This result showed increase in crystalline size which means an increase in randomization and a lack of crystallization amorphous. Epoxy matrix reinforced by particles of silica (SiO2) and alumina (Al2O3) with different fractions were investigated for electrical properties such as dielectric constant, conductivity and dielectric loss index. This result showed effect of additional (SiO2, Al2O3) is small concentration except (2% SiO2) has large effect.
Furfural Removal from Simulated Wastewater Using Zno Nanoparticles / H2O2 in Solar Photocatalysis Reactor
Authors: Abduljabbar Aseel T. , Dhahir Saadiyah A. , Abood Waleed M. 
Published: March 2021

AbstractFurfural is aromatic compounds that can cause a significant environmental problem particularly through discharged iindustrial water of oil processing. In this study, the using of the advanced oxidation methods (AOPs) were applied. The results of the experimental work indicated that the degradation of furfural in simulated wastewater and real wastewater from oil refinery was affected by using different concentrations of H2O2, the dosage of nanoparticles of ZnO with nanoscale (36 nm), pH and taking into consideration the effect of the solar radiation intensity with the exposure period. The optimal conditions (H2O2=600mg/l, ZnO NPs=80mg/l, pH=7, Temp=25±5°C and flow rate=50ml/min) at 100mg/l of furfural concentration. Furfural removal efficiency for the type of (APOs) treatment (UVA Photolysis), (UVA/photocatalyst), (UVA/H2O2) and (UVA/H2O2/photocatalyst) were recorded (38%, 55%,68%,96%) respectively after 240 minutes exposure time using simulated wastewater and the rate constant K of furfural degradation was increased at the same conditions (0.0023, 0.0041, 0.006, 0.022) min−1respectively while for real wastewater from petroleum refinery units, the removal efficiency has been reached to (97.5%) under the same conditions with applied (UVA/H2O2/photocatalyst) option. HPLC was utilized to detect the degradation of the furfural.
Effects of Thickness on the Structural and Optical Properties of Mn3O4 Nanostructure Thin Films
Authors: Shano Ahmed M. , Habeeb Ammar A. , Khodair Ziad T. , Adnan Suzan K. 
Published: March 2021

Abstract
In this work, nanostructured Mn3O4 thin films at different of thickness (200, 250, 300, 350) nm were deposited on substrate made from glass by chemical spray pyrolysis technique with substrate temperature at 400 °C. However, during this process, The structural and optical properties of these films have been investigated using XRD, and UV-Visible spectroscopy. The X-ray Diffraction (XRD) results showed that all films are polycrystalline in nature with tetragonal structure and preferred orientation along (211) plane. The crystallite size is determined by Scherer’s formula and W-H analyses and it is found that it decreases as the thickness increasing. The optical energy gap for allowed direct electronic transition was calculated using Tauc equation. It was found that the band gap decreases when the thickness increasing. The variables of the optical properties containing (coefficient of absorption, parts of real and imaginary for dielectric constant) and estimated as a function of the photon energy. Coefficient extinction of thin film was valued as a wavelength function.
Use Some Spectral Indices to Follow the Flooding of The Diyala River
Authors: Khalaf Ahmed Bahjat , Mohi Thakra Jassem 
Published: March 2021

Abstract
The examination was directed on the Diyala River Basin, situated inside the territory of Diyala in focal Iraq between longitudes 44º20′ 10.19 ‘-45º 23′ 32.46″ and two latitudes 34º 7′ 56.26″ - 33º 23′ 2.82″ and an area of 5279 km2, the satellite imagery of Landsat 8 OLI_TIRS And derived them spectral indices, using the supervised classification method for the study area and comparing it with the maps prepared from the spectral indices, the study found that the MNDWI guide is the best for monitoring and monitoring the flooding of Diyala River. The statistical values of Kappa showed a good classification for the study area, it ranged between 86-88%.
Design and Implementation of a Moving Robot Equipped with an Arm and an FPGA to Deliver Objects between Two Positions
Authors: Saadoon Asma T. , AbdulQader Dina A. , Naser Marwa T. , Jadian Zahraa R. 
Published: March 2021

Abstract
In this paper a system is designed and implemented using a Field Programmable Gate Array (FPGA) to move objects from a pick up location to a delivery location. This transportation of objects is done via a vehicle equipped with a robot arm and an FPGA. The path between the two locations is followed by recognizing a black line between them. The black line is sensed by Infrared sensors (IR) located on the front and on the back of the vehicle. The Robot was successfully implemented by programming the Field Programmable Gate Array with the designed system that was described as a state diagram and the robot operated properly.
Cubic Curves Over the Finite Field of Order Twenty-Five
Authors: Naji S. H. , Al-Zangana E. B. 
Published: March 2021

Abstract
An arc of degree three is a set of points in projective plane no four of which are collinear but some three are collinear, and a cubic curve is a non-singular projective plane cubic curve. There are cubic curves formed an arc of degree three over a finite field. The aims of this paper are to give the inequivalent cubic curves forms over the finite field of order twenty-five according to its inflexion points, and the incomplete curves have been extended to complete arcs of degree three. As a conclusion over F
25, the largest arc size of degree three constructed from the points of cubic curves is 36; that is, 36≤ m

r
(2,25) ≤51.
fMRI and Artifact computation and Analysis
Authors: Nasser Marwa Taher , Al_Sudani Ahlam Hanoon , Alhilli Hanady Mohammad 
Published: March 2021

Abstract
Over the years, the field of Medical Imagology has gained considerable importance. The number of neuroimaging studies conducted using functional magnetic resonance imaging (fMRI) has been exploding in recent years. fMRI survey gives to rise to large amounts of noisy data with a complex spatiotemporal correlation structure. Statistics play great role in clarifying the features of the data and gain results that can be used and explain by neuroscientists. Several types of artifacts can happen through a functional magnetic resonance imaging (fMRI) scanner Because of software or hardware problems, physical limitation or human physiologic phenomenon. Several of them can negatively affect diagnostic image goodness, and confused with various pathology. Artificial Characteristics is show in an image not found in the real actual object it is the necessary to recognize these artifacts according to a basic perception of their origin, especially those simulating pathology, as they can be sing to wrong diagnostic medical. As a result, it causes dangerous effects on the patient’s health. We discuss the study of fMRI data in this paper; we highlight important and significant problems where statistics already play a major role. It is include a sequence of programs for processing, analysing, and offer fMRI data. Of special regard to statisticians might be its use of functions from the statistical software package. The conventional methods are FSL and SPM. The most generally applied software is SPM (Statistical Parametric Mapping), which include groups of MATLAB functions for pre-processing, analysing, and display fMRI data.
Cryptanalysis Using DNA-Sticker Algorithm
Authors: Abdulmehdi Noora Amir , Kadum Sahar Adel 
Published: March 2021

Abstract
Sticker model is one of the basic computer models of filtering model which is part of Non-Autonomous DNA computing models. This model inputs are represented by encoded one of a double (single - double) strand of DNA molecules, which is annealed with a short fraction of strings at some positions, and therefore these strands called memory complexes. Since its inception, DNA computing has provided a highly efficient and energy efficient technology for solving complete NP problems because of its really high data density and inherent parallels. In this paper, we explain how to use the sticker model, which is one of the types of molecular computations in DNA computing, to design an algorithm for coding analysis of the coded text in an unsystematic cipher method. The cipher text is broken by employing the idea of brute force attack, which works to represent all possible keys and then try it to break the encrypted text until reaching the correct key from among the total keys group representing by solution space. Theoretically, both the cipher text and all possible keys are represented using memory complexes of the DNA strands. Then, using sticker operations, as separation, combination, and proposed operation named length, we can remove the incorrect keys from the solution space of memory complexes, by taking advantage of the parallel processing of DNA computing, therefore this model is classified as filtering model.
Volts/Hz Control of Three Phase Induction Machine: Matlab Simulink
Authors: Al-Asady Heba Abdul-Jaleel , Fakhruldeen Hassan Falah 
Published: March 2021

Abstract
Due to the ratios of the power to the speed in the industrial applications, three phase induction motors are Broadly utilized. high reliability and low cost. A Space Vector pulse width modulation (SVPWM) are used for controlling scheme. The modified PI and V/F scalar controller are used to confirm the execution of both the speed and torque. A simple method control the magnitude of constant speed application is scalar control which is state on the controlling the values of voltage and frequency of the machine. The control of V/F implement in matlab/simulink and compared withthe PI controller as a mathematical model of the system is described in the next sections. The simulation results provides high performance and smooth speed response under various dynamic operations.