bluuebunny/crossref_metadata_2025_split huggingface dataset:
UV-Spectroscopy for Original Honey and Comparing with Some Types of Honey in Iraqi Market to Investigate the Cheat in Them
Authors: Lateef Abbas Abed , Alhashimy Ayad Khalaf 
Published: March 2021

Abstract
Honey is a medication material and its very expensive, so some people try to cheat honey by adding sugar solution to it. In this work, a method was done to investigate the ratio of cheat or sugar solution in honey. UV-spectroscopy was done for original honey. UV-spectroscopy for several mixtures containing different ratios for honey and sugar solution was done to make normalization curve. Different types of honey were collected from Iraqi market and UV-spectroscopy was done for these types. For every graph done for these honey types collected from Iraqi market, maximum absorbance point was taken and applied on the normalization curve. After application on the normalization curve, the ratios of honey and sugar solution were found for every type of honey collected.
Atan Regularized in Quantile Regression for High Dimensional Data
Authors: Yousif Ali Hameed , Housain Wafaa Jaafer 
Published: March 2021

AbstractIn this article, we proposed using a new version of penalty functions to estimate of parameters and variable selection in quantile regression. This version of the penalty depends on arctangent function called the atan penalty. Ridge and elastic-net are the penalties that are used to compare with the proposed estimator in quantile regression. A simulation study and the real data application showed that the proposed estimator is the best compred to the other estimators.
Solvent Effects on The Nonlinear Refractive Index of Bromocresol Purple at Three Excitation Wavelengths
Authors: Halboos Sarah H. , Sharba Ahmed. B. 
Published: March 2021

Abstract
In this study, the linear properties and the nonlinear refraction of Bromocresol purple (BCP) dye are studied in water and ethanol at three different wavelengths (405, 473 and 532 nm). The study is to assess the effect of the solvent properties on the dye optical characteristics at different wavelengths. Beside the differences in the linear response, the nonlinear refractive index n

2
of the dye changes by changing the solvent. The type of the solvent-induced change in n

2
depends on the excitation wavelength. In addition, the value of n

2
in the same solvent depends on the wavelength of light. The changes in n

2
in the two solvents are not likely to be due to the differences in the linear absorption or the thermal effects. The polarity and the hydrogen bonding ability of the solvent can be the main reason of the solvent effects on the nonlinearity of the dye. The effect of wavelength on the nonlinearity of the dye can be due to the change in the physical mechanisms that originate the nonlinear refraction or the change in their individual contributions to the overall nonlinear refraction of the dye.
Application of Value Stream Mapping in HEESCO
Authors: Jebur Zainab Taha , Ibrahim Sura Khalil , Dawood Lamyaa Mohammed 
Published: March 2021

Abstract
Value stream mapping (VSM) applies to all consumer operations engaged in the design, production and distribution of products and services. Objective of this research is to draw up the existing state diagram for the products in Heavy Engineering Equipment State Company (HEESCO) as a case study, that deals with job-shop production to Identify and minimize the additional tasks that are not appreciated and recommend a potential state to reduce the lead time of production and maximize the time of value added.
Detection of Misuse Attack in NFV Networks Using Machine Learning
Authors: Ali Ali Khalid , Bhaya Wesam S. 
Published: March 2021

Abstract
Network Function Virtualization (NFV) represents a virtual network whose service is provided by virtual parts of virtual machines. This type of network is easy to implement and update. In addition, NFV leading to low cost due to sharing the same resources. As is the case with other networks, NFV is not safe from attacks. Since all parts of this NFV network share the same resources, misuse attack is regarded to be the most common attack in NFVs, particularly because the attack use one or more of the resources which affect all parts of the NFV. This paper is based on using machine learning to extract rules of misuse attack detections. The tree decision C4.5 algorithm has been used to extract these rules, with nine features of network data flow. When testing the propose work with a server traffic data having more than 5 million network connections, the results show that a comparatively higher performance of the algorithm C4.5 with an accuracy of about 96%.
Manufacturing Three Different Solar Heaters Operating in Shattra City 31° 24’ 35“N - 46° 10’ 18”E and Comparison Between Them
Authors: Mankhi Kawthar Kazem 
Published: March 2021

Abstract
Solar water heating is designed in Shattra city 31° 24’ 35“N 46° 10’ 18”E in south of Iraq. The research deals with a comparison in terms of performance and production of three different solar heaters in terms of primary components and the number of parts. The experimental data have been analysis (2019-2020). The importance of this study lies in obtaining the ideal model for the heater in terms of increase in production, low costs and ease of design
Combinatorial Optimization and Nonlinear Optimization
Authors: Salman Abbas Musleh , Al-Jilawi Ahmed Sabah 
Published: March 2021

Abstract
The objective of this paper is to locate a superior method that merges quicker of maximal independent set problem (MIS). One methodology is to the correlation between The Penalty and Augmented Lagrangian Methods. We have likewise built up the hypothetical combination properties of these methods.
Improving Theoretical Line Search Techniques of Practical Numerical Optimization
Authors: Al-Shimari Nofl Sh. , Al-Jilawi Ahmed Sabah. 
Published: March 2021

Abstract
The paper aims to shed light on some important concepts in optimization so that the reader can have a broad knowledge and awareness of idealism, In addition to that we bring the reader closer to know the line of research and how to employ to solve various problems of optimization.
The Effect of Al2O3 Oxygen Sub-Lattice on Femon2 Phase Stability
Authors: Richi Wissem , Zanat Kamel , Hazourli Hamza , Daoui Abdelkader , Oudjertli Salah , Zelmati Djamel 
Published: March 2021

Abstract
All Magnetic phase transition in Iron Molybdate Nitride (FeMoN2) has been studied within the framework of density-functional theory, using generalized gradient approximation (GGA) as exchange correlation functionals. In this study, we suppose that, under the application of pressure, a uni-axial out-of plane structure optimization were done, where the in plane lattice parameters are fixed, within the pressure range of -50Kbar to 600Kbar. We found that the compound save the same structure (P6

3

/mmc) with a volume collapses. The volume and magnetic moment of FeMoN2 in its spin polarized case as well as none spin polarized case, have also been computed as ground state properties. The Magnetic moment of the FeMoN2 undergoes an anomalous variation accompanied by volume collapse. This volume collapse is attributed to a large variation in the out-of-plane lattice parameter.
Extracting Influential Nodes for Maximization Influence in Social Networks
Authors: Attuah Zainab Naseem , Miften Firas Sabar , Huzan Evan Abdulkareem 
Published: March 2021

Abstract
Influence maximization (IM) is the process focuses on finding active users who make that maximizes the spread of influence into the network. In recent years, community detection has attracted intensive interest especially in the implementation of clustering algorithms in complex networks for community discovery. In this paper the social network was divided into communities using the proposed algorithm which is called (CDBNN) algorithm, CDBNN stands for Community Discovery Based on Nodes Neighbor. The seed nodes(candidate nodes) were extracted using the degree centrality in each community. The propagates model (PSI) was used to information propagates through the network. Finally, using closeness centrality to extract the influential nodes from the network. Experimental results on the real network are efficient for influence propagates, compared with two known proposals.
New Approach for Solving (2+1)-Dimensional Differential Equation
Authors: Hussein N. A. , Tawfiq L. N. M. 
Published: March 2021

AbstractThis article presents an exact analysis solution for (2+1) dimensional differential equations by using new approach based on coupled method via LA-transform with decomposition method to overcome the computational difficulties. Convergence of series solution has been discussed with two illustrated examples, and the method has shown a high-precision, fast approach to solve non-linear (2+1) dimensional PDEs with initial conditions, there is no need any discretization of domain or assumption for a small parameter to be present in the problem. The steps of suggested method are easy implemented, high accuracy and a rapid convergence to the exact solution compared with other methods can be used to solve this type of PDEs.
On Differential Subordination of Higher-Order Derivatives of Multivalent Functions
Authors: Abdul Ameer Mays S. , Juma Abdul Rahman S. , Al-Saphory Raheam A. 
Published: March 2021

AbstractThe main objective of this paper is to study the concept of dependency and introduce a new subclass linked to derivatives of higher order for polyvalent functions with a different operator. Thus, the results were important it was obtained with respect to different types of some geometric properties of which coefficient estimate, distortion and growth bounds, radii of starlikeness, convexity, and close-to-convex.
The Ciliary Propulsion of An Electrically Conducting Johnson-Segalman Physiological Fluid Through A Porous Medium in An Inclined Symmetric A Channel with Slip
Authors: Salman Mohammed R. 
Published: March 2021

Abstract
The bionic systems are distinguished by electromagnetic pumping, which offers important advantages over the well-known traditional designs, whose clever ideas are inspired by the vital characteristics of many channels in living organisms. The complex features and characteristics that we observe in the mechanism of fluid transport in channels for the bodies of living organisms and the presence of cilia in the moving of these fluids and simulate this in the design of channels for non-Newtonian fluids. In our paper, we discussed this simulation in a mathematical model of the movement of a viscous, flexible, electrically conductive fluid in an inclined channel contains cilia in which a porous medium under the influence of a magnetic field. The fluidity conduct of the fluid is emulation through the Johnson-Segalman constituent model which allows interior wall slip. The coordinated and uniform motion of the ciliated brinks (which line an interior wall of the channel) is exemplified by a converging wave motion which generates a 2-dimensional velocity of the fluid. The system of partial differential equations obtained from this mathematical model with exists boundary value conditions through long wavelength and Reynolds number concepts is solved using a perturbation method.
⊕-RadJ-supplemented modules
Authors: Hussein Abdlkareem Ali , Khalid Wasan 
Published: March 2021

Abstract
Let R be any with identity and let M be a unitary left R–module. As a generalization of the Jacobson-supplemented module, we introduce RadJ-supplemented module, ⊕-RadJ-supplemented module and cofinitely ⊕-RadJ-supplemented module. Some properties of these types of modules are given.
Enhancement of Thermoelectric Properties of Porphyrin-based Molecular Junctions by Fano Resonances
Authors: Al-Utayjawee Rasool M. , Al-Owaedi Oday A. 
Published: March 2021

Abstract
Single-molecule porphyrin applications gain attention by using molecules as elementary blocks of electronic components involving metallic atoms. Theoretically, one type of molecular-scale porphyrin device is used in this article, consisting of organometallic single molecules with different metals (Zn, Mg, Cu and Fe), sandwiched between gold electrodes bound by thiol anchor groups. The transmission and Seebeck coefficients for Au|molecule|Au configurations were computed by using density functional theory (DFT). The findings show that there is a robust Fano resonance in the transport behaviour around the Fermi energy, only for the porphyrin-based device with Fe metal. This result is attributed to the destructive quantum interference between continuous and discrete states. This work not only indicates that there is a relationship between the electrical conductance and thermopower but also it introduces a promising strategy to affect and control these characteristics via creation of Fano phenomenon.
Security Evaluation for Stream Cipher Cryptosystem Based on Soft Computing and Theoretic Parameters
Authors: Al-Shuwaili S. R. , Al-Ibraheemi K. H. 
Published: March 2021

Abstract
Security evaluation means an examination of a system to determine its degree of compliance with a stated security model, security standard, or specification. There are different models for security assessment, and the operation of selecting the appropriate model depends on the type of the cryptosystem. Consequently, the criteria for assessing security differ from one model to another. Information security contributes directly to increase the level of trust between users by providing an assurance of confidentiality, integrity, and availability. The main goal of this paper proposing an evaluation model of the cryptography systems. in this paper focuses the stream cipher started from its simple component LFSR and then add more than one register and using a linear feedback shift register (LFSR) with Langford arrangements to generate system to achieve randomness and complexity and evaluated based on statistical tests, information theory, soft computing (fuzzy logic), game theory. The results were acceptable and successfully passed the required tests.
Semantic-Based Multi-Domain Data Access Authorization
Authors: AbdulKadhim Noor , Al-Wahah Mouiad 
Published: March 2021

Abstract
Different domains employ variety of access control rules to protect the resources lay within their perimeters. When trying to access a resource from outside one’s domain, various issues are arising which prevent cooperating among those domains without endangering the security of the protected resources. The main challenge is how to efficiently handle the rights of users throughout the period of interoperation between various domains. In this paper, we propose a semantic-based multi-domain authorization approach that protects the resources on the multiple domains and, at the same time, provides a steady, flexible and secure authorized access to the protected resources. Two algorithms are described, one for single-domain authorization and the other is for multi-domain authorization. Our approach is based on dynamically merging access control policy rules for various domains in one large ontology, then extracting the access decision. We develop a proof-of-concept implementation and give the complexity analysis for our approach.
Efficient Implementation for PRINCE Algorithm in FPGA Based on the BB84 Protocol
Authors: Abdullah Alharith A. , Obeid Noor R. 
Published: March 2021

Abstract

The current study introduces a hardware-implemented PRINCE block cipher within Field Programmable Gate Array (FPGA) determined by the quantum cryptography protocol (BB84). Most security-related software applications of cryptographic algorithms tend to be rather slow and of no efficiency. So as to present a solution to this issue, a new hardware architecture is suggested for speeding up the execution of the PRINCE algorithm and increasing its flexibility, yet with more security. Concurrent computing designs allow an encryption block data of 64 bits during a single clock cycle, resulting in the reduction of hardware area and the production of a higher throughput and relatively lower latency. Higher speed processing and lower power consumption are other features that have been observed. This could be achieved by means of implementing the encrypting, decrypting and quantum key schedule using little hardware sources, followed by the development of a sufficient hardware architecture model for the PRINCE algorithm through very high speed integrated circuit hardware description language (VHDL). The synthetization of this VHDL design is eventually performed in FPGA boards. As for the present study, two FPGA boards have been employed, namely Virtex-4 and Kintex-7. The resulting data indicates the throughput and efficiency values to be (2.029 Gbps) and (1.9 Mbps/slice) for Virtex-4, and (3.931 Gbps) and (7.290 Mbps/slice) for Kintex-7, all respectively.
Independent Domination Number for some Special types of Snake Graph
Authors: Senthurpriya N. , Meenakshi S. 
Published: March 2021

Abstract
Let G(V, E) be a graph, V has a subset C, contains vertices with atleast one vertex in V that is not in C, then G has the dominating set C. If C has vertices that is not adjacent to one another, then G has an independent dominating set C and so the number of vertices present in the set C represents the IDN, the minimum cardinality of the sets C. In this paper, we were going to deal with Snake graphs in specific, Alternate Triangular and Alternate Quadrilateral Snake graphs. Keeping the concepts of these graphs as our base we extend our paper by defining n-Alternative Triangular Snake graphA(Tn), n-Alternative Double Triangular Snake graph nA(D(Tn)), n-Alternative Quadrilateral Snake graphA(Qn) and n-Alternative Double Quadrilateral Snake graphA(D(Qn)). Further we obtain independent domination number for some special types of snake graphs, in particular n-Alternative Triangular Snake graph nA(Tn, n-Alternative Double Triangular Snake graph nA(D(Tn)), n-Alternative Double Triangular Snake graph nA(Qn)and n-Alternative Quadrilateral Snake graph and n-Alternative Double Quadrilateral Snake graphA(D(Qn)).
Detection of Malware from IOT Devices Using Deep Learning Techniques
Authors: Sudhakaran Pradeep , Malathy C , Vardhan T Harsha , Sainadh T 
Published: March 2021

Abstract
Today, in the current worldwide situation, Security specialists have exhibited various dangers forced by Internet of Things (IoT) gadgets on associations. Because of the far-reaching appropriation of such gadgets, their decent variety, institutionalization impediments, and intrinsic portability, associations require a clever component able to do naturally recognizing suspicious IoT gadgets associated with their systems. Particularly, devices excluded inside a white colored rundown of dependable IoT gadget kinds (permitted to become used within the hierarchical premises) ought to become recognized. There’s a convincing has to average predisposition as well as evaluate the techniques autonomously to end up at an additional much better method for powerful zero-day malware area. In the proposed framework, profound neural system is utilized to precisely recognizing IoT gadget malware from the considered dataset. The dataset considered for the investigation is the freely accessible dataset Ember Opcode is utilized with a subset containing 70,140 considerate and 69,860 vindictive documents. We proposed to accomplish high exactness in our proposed framework.
Identification of freshwater - saltwater interface in coastal areas using combination of geophysical and geochemical methods: A case study in Mekong Delta, Vietnam
Authors: Ha Quang-Khai , Vo Phu Le , Phan Chu-Nam , Pham Van-Hung , Nguyen Viet-Ky 
Published: March 2021

Abstract
Saltwater intrusion is widely observed in coastal aquifers because fresh groundwater is over exploited and abstraction wells were installed too close to saltwater intrusion zone. Identification of salt/fresh groundwater interface is important for fresh groundwater protection. This study presents an application of combination groundwater investigation methods including vertical electric sounding (VES), geochemistry and geographic information system (GIS) tools for delineation of salt/fresh groundwater interface in Mekong Delta. Twenty-seven groundwater samples are collected in existing wells for chemical analysis. Vertical electric sounding (VES) method was conducted for 37 sites to delineate freshwater zone (TDS <1g/L) and saline groundwater zone (TDS>1 g/L). Two new wells are also installed after VES measurement for groundwater sampling. Result of geochemical analysis show that TDS values of groundwater samples range from 0.25 g/L to 1.3 g/L and Cl from 8.8 to 758.6 mg/L. Electrical resistivity values range from 2 to 18.4 Ωm. The electrical resistivity values less than 10.4 Ωm is well correlated to saline groundwater. The study shows that even though VES can be an effective tool for identification of fresh/saline groundwater distribution, the method could not identify the saltwater intrusion zone. Combination of geochemical and GIS methods can clearly delineate saltwater intrusion zone. The study results show that fresh groundwater is limited in a small area of upper-middle Pleistocene aquifers. The fresh groundwater is highly affected by salinization. Therefore, the area urgently needs to take proper measures for sustainable groundwater development.
Impact of climate change and socio-economic development on the water balance and water quality of the Can Tho River
Authors: Thi Ngoc Giau Vo , Thi Bich Tuyen Phan , Nguyen Hieu Trung , Thanh Vo Quoc 
Published: March 2021

Abstract
The Can Tho River plays an important role in ensuring water supply for life and socio-economic activities of Can Tho city. The problem is that the water supply and water demand in the future are difficult to predict. Therefore, it needs an approach which is capable of analyzing the water balance. This study aims to identify the impact of climate change and socio-economic development on the water balance and water quality in the future (2030s and 2050s). We used the Vietnam Water Quality Index (VN-WQI) as an analysis tool and the Water Evaluation and Planning (WEAP) model. Results show that in the period of 2010-2019, both water quality and quantity of the Can Tho River can still meet the water demands. However, the Can Tho River will not be able to use due to pollution of BOD, COD and NH4
+-N matters in the future. The water demand increases significantly under the impacts of rapid urbanization and industrialization. Thus, this also increases wastewater discharged into the Can Tho River. The surface water of the Can Tho River is projected to be declined under the impacts of climate change. We found that the water supply is much higher than the water demand in Can Tho city, so the water quality is the deciding factor for different purposes.
Meta-analysis of essential oil effectiveness against phythopathogen in forest plant nurseries
Authors: Akromah Z N , Achmad  , Jayanegara A 
Published: March 2021

Abstract
The study aims to use a meta-analytical procedure to analyze the potential of essential oils (EO) in inhibiting the growth of pathogens in vitro using published data on an online database. The author accessed the online databases using search keywords, which are essential oils against phytopathogens and essential oils for fungicides to collect the article. The collected articles or sources were utilized to arrange the database. Twenty-nine studies were included to assess the inhibitory effect of EO on the growth of pathogenic mycelium in vitro. The collected data were analyzed statistically using a Continuous Random-Effects Model was used to ascertain a pooled effect estimate of EO treatment on mycelium inhibition. The analysis was performed using the Open Meta-analyst for Ecology and Evolution (Open MEE) software. Based on the literature review, EO in various types and concentrations can inhibit mycelium growth with standardized mean difference (SMD) = 48.734, 95% CI 45.613 to 51.855, p < 0.001. The results of the present study revealed the potential of EO to inhibit mycelium growth. The current meta-analysis also sets the steps for standardized experimental designs on the use of EO for bio fungicides trials in the future.