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Articles 1 - 30 of 41
Full-Text Articles in Physical Sciences and Mathematics
Mass Spectra Of Mesonic Molecules At Finite Temperature, Arezu Jahanshir, Mohammad Reza Soltani
Mass Spectra Of Mesonic Molecules At Finite Temperature, Arezu Jahanshir, Mohammad Reza Soltani
Karbala International Journal of Modern Science
At a finite temperature, exotic hadronic systems, mass spectrum was studied using the quark structure and the radial Schrödinger equation with the Cornell interaction potential representing the hadronic interaction. The projective unitary representation has been used in the study of hadronic ground states in physics. A relativistic bound state's mass spectrum with temperature dependence is shown to have a unique feature. The resulting values are compared to experimental and theoretical values, and the study showed a high level of conformity with additional values wherever feasible.
Efficiency Of +Idonblender Photogrammetric Tool In Facial Prosthetics Rehabilitation – An Evaluation Study, Mohammed R. Falih, Fanar M. Abed, Rodrigo Salazar-Gamarra, Luciano Lauria Dib
Efficiency Of +Idonblender Photogrammetric Tool In Facial Prosthetics Rehabilitation – An Evaluation Study, Mohammed R. Falih, Fanar M. Abed, Rodrigo Salazar-Gamarra, Luciano Lauria Dib
Karbala International Journal of Modern Science
Several open-source 3D modeling software tools have recently been featured to reconstruct a 3D image-based model using Structure from Motion (SfM) algorithms such as +IDonBlender. It is, therefore, necessary to evaluate the accuracy of the models extracted from this tool to prove effectiveness for different applications. This paper aims to evaluate the +IDonBlender methodology tool in rehabilitating facial deformations. +IDonBlender is an add-on tool programmed within Blender software and designed for medical applications. In this research, two individuals from different genders have volunteered to contribute to this study, one with severe facial deformation and the other is healthy with no …
Proposed Hybrid Correlationfeatureselectionforestpanalizedattribute Approach To Advance Idss, Doaa Nteesha Mhawi, Prof. Soukaena H. Hashem
Proposed Hybrid Correlationfeatureselectionforestpanalizedattribute Approach To Advance Idss, Doaa Nteesha Mhawi, Prof. Soukaena H. Hashem
Karbala International Journal of Modern Science
NetworkIntrusionDetectionSystem(NIDS), widely used network infrastructure. Although many datamining has been used to increase the effectiveness of IDSs, current ID still struggle to perform well. therfore; proposed a new NIDS focused on feature_selection. The proposed CorrelationFeatureSelection_ForestPanalizedAttributes(CFS_FPA) used for dimensionality_reduction and selects the optimal_subset. based on two steps: first check each feature with a target(class) and choose only features that most effective by applying CFS filter using a statistical_method, then applied FPA to select only features will enhance ID and reduce_dimensionality. proposal tested with the NSLKDD experimental results of accuracy 0.997% and 0.004 FAR, wherein UNSWNB15_dataset accuracy and FAR are 0.995%, 0.008 …
Analysis Of Modern Communication Protocols For Iot Applications, Neerendra Kumar, Pragti Jamwal
Analysis Of Modern Communication Protocols For Iot Applications, Neerendra Kumar, Pragti Jamwal
Karbala International Journal of Modern Science
To facilitate increasing interactions of machines, various protocols are building up for IoT applications. Safeguarding communication among devices is necessary. In this paper, various protocols have been studied and compared using six parameters: Communication overhead, Security, Packet Loss, Throughput, Bandwidth and Support to QoS. LIDOR is found as the most successful communication protocol. A tabulated comparison of various communication protocols have been provided by comparing the parameters. Further, six star rating for the various protocols have been proposed. The study shows that LIDOR increases reliability under DoS attacks. Considering the existing literature, new research gaps and challenges have been presented.
The Effect Of Diode Laser On The Life And Appearance Of White Ant (Psammotermes Hypostoma), Estabraq Mahmood Mahdi Msc, Sahar Naji Rashid Msc., Saeed Maher Lafta Ph.D., Arshad Mahdi Hamad Msc
The Effect Of Diode Laser On The Life And Appearance Of White Ant (Psammotermes Hypostoma), Estabraq Mahmood Mahdi Msc, Sahar Naji Rashid Msc., Saeed Maher Lafta Ph.D., Arshad Mahdi Hamad Msc
Karbala International Journal of Modern Science
This work focused on studying effect of diode laser on external appearance of white ants, and finding the percentage of mortality resulting from this beam of (650nm),(5mW),exposure times (60,70,80,90,100)sec at (3,5)cm for each exposure. The results recorded showed a clear increase in death rates, and increase in deformations as laser exposure times increased (higher percentage at lower distance), where laser was used to capture results of this therapeutic effect after passage time periods (12,24,48,72)hours. These results, show laser thermal effects resulting from its interaction with tissues, thermal propagation leads to ravage to the structures, thus to an increase death rates.
Calculation And Comparison Of Certain Physical Properties Of Sample Irregular Galaxies With The Milky Way Galaxy, Hasanain Hassan Al-Dahlaki Msc
Calculation And Comparison Of Certain Physical Properties Of Sample Irregular Galaxies With The Milky Way Galaxy, Hasanain Hassan Al-Dahlaki Msc
Karbala International Journal of Modern Science
Irregular galaxies often include a mix of old and young celestial populations, as well as dust and gas. This study makes an early effort at the morphological classification of irregular galaxies. These sources have been chosen from (70) irregular galaxies data samples from a Catalogue survey. We present a statistical analysis of the physical properties for the chosen data from the database and a collection of tools that used to study the physics of galaxies and cosmology HYPERLEDA (http://atlas.obshp.fr/hyperleda/) and NASA /IPAC Extragalactic Database NED (https://ned.ipac.caltech.edu/) survey.
Seasonal Variation Of Microbiota In Shank Acanthopagrus Latus Living In Both Brackish And Fresh Water, Ali A. Al-Hisnawi Ph.D., Jassim M. Mustafa, Yass K. Yasser, Khalid A. Hussain, Ameera M. Jabur
Seasonal Variation Of Microbiota In Shank Acanthopagrus Latus Living In Both Brackish And Fresh Water, Ali A. Al-Hisnawi Ph.D., Jassim M. Mustafa, Yass K. Yasser, Khalid A. Hussain, Ameera M. Jabur
Karbala International Journal of Modern Science
The present study was conducted to monitor the microbiota in the posterior intestine of Shank fish living in the river (fresh water) and Al-Razzaza lake (salt or brackish water) in Kerbala, Iraq. Cultivable bacteria were calculated and identified from specimens obtained from the posterior intestine of mucosa (PM) and digesta (PD) during summer and winter seasons. The total culturable bacteria (TCB) of bacteria isolated from both intestinal regions from fresh water fish during summer time were higher than counterparts in winter time. In contrast, the TVC of bacteria isolated from the PM from salt water fish during winter time were …
Evaluation Of The Healing Activity Of Cucurbita Spp. Leaf And Seed Extracts On Experimental Thermal Burns, Sanaa Jameel Thamer Ph.D., Prof. Maha Khalil Ibrahim, Dr. Khalid Shanshal Alnema
Evaluation Of The Healing Activity Of Cucurbita Spp. Leaf And Seed Extracts On Experimental Thermal Burns, Sanaa Jameel Thamer Ph.D., Prof. Maha Khalil Ibrahim, Dr. Khalid Shanshal Alnema
Karbala International Journal of Modern Science
Burns are the most common skin injuries associated with many complications and high incidences of wound infections. Many compounds of plant products have been assessed to accelerate wound healing or reduce contamination. The possible healing effect of two Cucurbita spp. in skin burns was investigated. Cucurbita maxima and Cucurbita pepo leaves and seeds were extracted using ethanol and analyzed by gas chromatography–mass spectrometry. Second-degree burn wounds were made on laboratory rats, and the burn wounds were applied topically with extracts for 14 days and silver sulfadiazine (SS) for comparison. Serum vascular endothelial growth factor (VEGF) was analyzed post-treatment. Hydroxyproline content …
Energy Conservation Approach Of Wireless Sensor Networks For Iot Applications, Suha Abdulhussein Abdulzahra Msc, Ali Kadhum M. Al-Qurabat Ph.D., Prof. Dr. Ali Kadhum Idrees
Energy Conservation Approach Of Wireless Sensor Networks For Iot Applications, Suha Abdulhussein Abdulzahra Msc, Ali Kadhum M. Al-Qurabat Ph.D., Prof. Dr. Ali Kadhum Idrees
Karbala International Journal of Modern Science
Wireless Sensor Network is one of the most important contributors to IoT and performs significant role in people's lives due to its extensive use in many applications. Energy-saving is essential since sensor nodes are working by their restricted battery. In this article, data reduction method proposed to work at Gateway level of network. In GW, proposed method works as filtering via enabling GW to identify, then remove, sets of data that are redundant and produced by neighboring nodes. Principle idea of method recommended at this level is to exploit the advantage of spatial correlation between sensors to minimize energy depletion.
Prediction Of Iraqi Stock Exchange Using Optimized Based-Neural Network, Ameer Al-Haq Al-Shamery, Prof. Dr. Eman Salih Al-Shamery
Prediction Of Iraqi Stock Exchange Using Optimized Based-Neural Network, Ameer Al-Haq Al-Shamery, Prof. Dr. Eman Salih Al-Shamery
Karbala International Journal of Modern Science
Stock market prediction is an interesting financial topic that has attracted the attention of researchers for the last years. This paper aims at improving the prediction of the Iraq-Stock-Exchange (ISX) using a developed method of feedforward Neural-Networks based on the Quasi-Newton optimization approach. The proposed method reduces the error factor depending on the Jacobian vector and Lagrange multiplier. This improvement has led to accelerating convergence during the learning process. A sample of companies listed on ISX was selected. This includes twenty-six banks for the years from 2010 to 2020. To evaluate the proposed model, the research findings are compared with …
Biosynthesis, Characterization And Antiproliferative Activity Of Green Synthesized Gold Nanoparticles Using Lantadene A Extracted From Lantana Camara, Dawood Ali Salim Dawood, Lee Suan Chua Ph.D, Tian Swee Tan Ph.D, Ahmed F. Alshemary Ph.D
Biosynthesis, Characterization And Antiproliferative Activity Of Green Synthesized Gold Nanoparticles Using Lantadene A Extracted From Lantana Camara, Dawood Ali Salim Dawood, Lee Suan Chua Ph.D, Tian Swee Tan Ph.D, Ahmed F. Alshemary Ph.D
Karbala International Journal of Modern Science
This study was focused on the biosynthesis of gold nanoparticles loaded with lantadene A (LA-AuNPs) from Lantana camara extract and the antiproliferative effects on prostate cancer cells (LNCaP). The synthesized LA-AuNPs had smooth surface, and nearly spherical in shape (67.94 nm) with the zeta potential (-30.11±0.83 mV). LAAuNPs showed a dose dependent cytotoxic activity with IC50, 126.82 µg/mL against LNCaP, but non-cytotoxic to normal prostate cells. The intrinsic pathway of apoptosis was caused by the increase of caspases-3/7 and -9 activity and cell cycle arrest at the G0/G1 phase. Therefore, LA-AuNPs could be a potent lead to inhibit LNCaP
The Detection Of Sexual Harassment And Chat Predators Using Artificial Neural Network, Noor Amer Hamzah, Ban N. Dhannoon
The Detection Of Sexual Harassment And Chat Predators Using Artificial Neural Network, Noor Amer Hamzah, Ban N. Dhannoon
Karbala International Journal of Modern Science
The vast increase in using social media sites like Twitter and Facebook led to frequent sexual_harassment on the Internet, which is considered a major societal problem. This paper aims to detect sexual_harassment and cyber_predators in early phase. We used deeplearning like Bidirectionally-long-short-term memory. Word representations are carefully reviewed in text specific to mapping to real number vectors. The chat sexual predators Detection_approach with the proposed_model. The best results obtained by the performance measured with F0.5-score were the result is_0.927 with proposed_models. The accuracy measured is_97.27% in the proposed_model. The comments sexual_harassment Detection_approach the result is_0.925 F0.5-score, and accuracy measured is_99.12%.
An Online E-Voting System Based On An Adaptive Ledger With Singular Value Decomposition Technique, Rihab Habeeb Sahib, Prof. Dr. Eman Salih Al-Shamery
An Online E-Voting System Based On An Adaptive Ledger With Singular Value Decomposition Technique, Rihab Habeeb Sahib, Prof. Dr. Eman Salih Al-Shamery
Karbala International Journal of Modern Science
Regular E-voting systems for elections may count the votes in less time,less cost,save the privacy of citizens,but still considered risky as votes can be tampered.E-voting systems based on a network distributed ledger show fast results,more trusted,save privacy,cannot be tampered,and distributed in which no central organization controls the system.This paper illustrate an e-voting system to solve the challenge of a massive ledger that is distributed among network-nodes using a data reduction technique as a security-matching-tool,singular value decomposition(SVD) that handle a copy of election results in another form and matched with the SQL-database results to announce a successful election-event representing a transparency-powerful-secured-system
Detecting Malicious Dns Queries Over Encrypted Tunnels Using Statistical Analysis And Bi-Directional Recurrent Neural Networks, Mohammad Al-Fawa'reh, Zain Ashi, Mousa Tayseer Jafar
Detecting Malicious Dns Queries Over Encrypted Tunnels Using Statistical Analysis And Bi-Directional Recurrent Neural Networks, Mohammad Al-Fawa'reh, Zain Ashi, Mousa Tayseer Jafar
Karbala International Journal of Modern Science
The exponential rise in the number of malicious threats targeting computer networks and digital services puts network infrastructure in jeopardy. Domain name protocol attacks are one of the most pervasive network attacks posing a threat to networks, whereby attackers send harmful information to the network; this type of threat is identified as DNS tunneling. The DNS protocol has recently gained increased attention from cyber-attackers, targeting organizations with a web presence or reliance on e-commerce businesses. Cyber-attackers can subtly exploit the contents of encrypted DNS packets that are sent across covert network tunnels, which are difficult for firewalls and blacklist detection …
Artificial Intelligence For Para Rubber Identification Combining Five Machine Learning Methods, Chairote Yaiprasert Ph.D.
Artificial Intelligence For Para Rubber Identification Combining Five Machine Learning Methods, Chairote Yaiprasert Ph.D.
Karbala International Journal of Modern Science
This study aims to identify Para rubber species using a combination of five machine learning techniques to classify leaf images. The learning process is defined using a dataset for each classification method. Approximately 1,472 leaf images are prepared consisting of various sizes, shapes, quality provided for the model. The classification indicators are defined with the help of an algorithm to identify at least three of the top five potential classification outcomes. The algorithm accurately predicts 100% of the five classification methods. Methods can provide precise and rapid classification of large quantities, without the need for image preprocessing prior to classification.
Synergistic Extraction Of Silver From Nitric Acid Medium With Dithizone In The Presence Of A Secondary Amine- Amberlite La-2 Using 110mag-Radioisotope, Madhusudan Mandal Ph.D.
Synergistic Extraction Of Silver From Nitric Acid Medium With Dithizone In The Presence Of A Secondary Amine- Amberlite La-2 Using 110mag-Radioisotope, Madhusudan Mandal Ph.D.
Karbala International Journal of Modern Science
Synergistic extraction of silver has been investigated in the presence of two different kinds of extractants, one of which is a chelating ligand, dithizone and the other is a long-chain secondary amine amberlite LA-2 at pH 3.0 using a radiotracer technique. The apparent formation constant, overall equilibrium constant and adduct formation constants were calculated from distribution coefficients. Interestingly, it was observed that the adduct formation constant is too high when the ligand concentration is increased by keeping the amine concentration fixed at 0.044 M compared to that obtained when the ligand concentration is kept fixed at 8.74×10-4 M.
Evaluation Of Wind Data Reliability By Using Logarithmic And Power Laws: A Case Study In Southern Iraq, Ahmed B. Khamees, Saif F. Yaseen, Khalid S. Heni, Mudar Ahmed Abdulsattar
Evaluation Of Wind Data Reliability By Using Logarithmic And Power Laws: A Case Study In Southern Iraq, Ahmed B. Khamees, Saif F. Yaseen, Khalid S. Heni, Mudar Ahmed Abdulsattar
Karbala International Journal of Modern Science
In this study, two sites were investigated in the southern region of Iraq: Ali AL-Gharbi and AL-Salman in Mesan and AL-Muthana provinces, respectively. A theoretical extrapolation between wind speed and height was carried out for both locations each month using the Logarithmic Law. Power Law was also applied to achieve calculations of wind shear coefficient (α) by using the actual data collected from the meteorological mast installed in each site at three levels of 10 m, 30 m, and 50 m, at an interval of ten minutes. To compare the effects of each law, two laws are employed.
Polystyrene Molecular Weight Determination Of Submicron Particles Shell, Airat Z. Sakhabutdinov, Safaa.M.R.H. Hussein, Alsu R. Ibragimova Ph.D., Vladimir Kuklin Ph.D., Maxim Petrovich Danilaev, L.Y. Zaharova
Polystyrene Molecular Weight Determination Of Submicron Particles Shell, Airat Z. Sakhabutdinov, Safaa.M.R.H. Hussein, Alsu R. Ibragimova Ph.D., Vladimir Kuklin Ph.D., Maxim Petrovich Danilaev, L.Y. Zaharova
Karbala International Journal of Modern Science
The method of determination of the molecular weight of the polystyrene, which is formed as the shell on the surfaces of submicron aluminum oxide particles is considered in the paper. This method is based on the sedimentation of submicron particles, covered by polymer molecules, in a solvent for polystyrene. It is shown that the average polystyrene molecular weight is 39500±11250 amu, when the polymer shells on the surfaces of submicron particles (Al2O3) are formed by the vapor-phase method.
Adaptive Reconstruction Of The Heterogeneous Scan Line Etm+ Correction Technique, Heba Kh. Abbas, Salema S. Salman, Rash Awad Abtan, Anwar H. Al-Saleh, Ali A. Al-Zuky
Adaptive Reconstruction Of The Heterogeneous Scan Line Etm+ Correction Technique, Heba Kh. Abbas, Salema S. Salman, Rash Awad Abtan, Anwar H. Al-Saleh, Ali A. Al-Zuky
Karbala International Journal of Modern Science
ETM+ is a land-imaging sensor with great and wide use in many fields, however, after May 2003, because of a technical defect in the sensor´s system scan line corrector SLC, it started giving images of earth containing black gap lines at a 22% rate. These gaps made the process of analyzing and extracting accurate information from these images difficult and complicated. Therefore, scientists have developed many techniques to remove the gap lines from all ETM+ band-images and complete the missing data. In this study, three different ETM+ time images with a 16-day interval between them were used to fill gap …
Two-Dimensional Quantitative Profiling Of Cell Morphology With Serous Effusion By Unsupervised Machine Learning Analysis, Safaa Al-Qaysi Ph.D., Ding Dai Md Ph.D., Heng Hong Md Ph.D., Yuhua Wen Ph.D., X.H. Hu Ph.D.
Two-Dimensional Quantitative Profiling Of Cell Morphology With Serous Effusion By Unsupervised Machine Learning Analysis, Safaa Al-Qaysi Ph.D., Ding Dai Md Ph.D., Heng Hong Md Ph.D., Yuhua Wen Ph.D., X.H. Hu Ph.D.
Karbala International Journal of Modern Science
Cytological evaluation of serous effusion specimens is an important part of cancer diagnosis. In this study we performed two-dimensional (2D) morphometric features and clustering analysis for development of useful techniques for identification and differentiation of malignant and begin cells in serous effusion specimens extracted from ten patients with clinical symptoms of pleural and peritoneal effusion. Our findings show that the two-dimensional (2D) morphometric features and clustering analysis are useful techniques for identification and differentiation of malignant and begin cells in serous effusion specimens, which can lead to development of new methods for rapid cells profiling in clinical application.
Modeling Vitexin And Isovitexin Flavones As Corrosion Inhibitors For Aluminium Metal, Abdullahi Muhammad Ayuba, Umaru Umar
Modeling Vitexin And Isovitexin Flavones As Corrosion Inhibitors For Aluminium Metal, Abdullahi Muhammad Ayuba, Umaru Umar
Karbala International Journal of Modern Science
Theoretically, the aluminium corrosion inhibitive performance of vitexin (VTX) and isovitexin (SVT) were evaluated with a view of establishing the mechanism of the inhibition process. Calculations which include the consideration of several global descriptors were studied to describe and correlate the reactivity of the molecules with the computed descriptors. First and second-order condensed Fukui functions were employed to analyze local reactivity parameters, while simulations involving the adsorbed molecules on Al (1 1 0) surface were conducted through quench dynamic simulations and the mechanism of physical adsorption was established with SVT relatively been a better inhibitor on Al surface than VTX.
Stability-Delay Efficient Cluster-Based Routing Protocol For Vanet, Ahmed Jawad Kadhim Al-Shaibany Ph.D
Stability-Delay Efficient Cluster-Based Routing Protocol For Vanet, Ahmed Jawad Kadhim Al-Shaibany Ph.D
Karbala International Journal of Modern Science
Vehicular Ad hoc Network (VANET) can be used in safety applications to transfer information about some events (e.g. accidents) with minimum time. Sending this information is achieved by using a routing algorithm. A large number of cluster-based routing schemes were presented for VANET. Unfortunately, the mobility of vehicles in unexpected directions negatively affects the performance of these schemes, destroys the network links, and decreases the routes' stability. This problem leads to repeat route discovery and maintenance operations and, as a result increases the overhead and delay. Thus, they are not an optimal selection for safety applications. Moreover, the cluster-based policies …
A New Chaotic Image Cryptosystem Based On Plaintext-Associated Mechanism And Integrated Confusion-Diffusion Operation, Ahmed Kareem Shibeeb, Mohammed Hussein Ahmed, Ahmed Hashim Mohammed
A New Chaotic Image Cryptosystem Based On Plaintext-Associated Mechanism And Integrated Confusion-Diffusion Operation, Ahmed Kareem Shibeeb, Mohammed Hussein Ahmed, Ahmed Hashim Mohammed
Karbala International Journal of Modern Science
In modern chaotic image cryptosystems, the initial values generated for the chaotic system are carried out based on the hash function or summation result of the image pixels. Also, the confusion-diffusion structure is often typically split into two different components. However, it decreases the cryptosystem security because the independent structure can be cryptanalysis separately. A practical chaotic image cryptosystem based on plaintext-associated mechanism and integrated confusion-diffusion operation has been developed in this research paper to enhance the encryption reliability. The initial values of the four-dimensional chaotic system are updated by using the pixel values and locations to increase the sensitivity …
Mathematical Model For Measuring The Concentration Of Nanoparticles In A Liquid During Sedimentation, Safaa Mohammed Ridha Hussien Hussien, Airat Sakhabutdinov, Vladimir Anfinogentov, Maxim Danilaev, Vladimir Kuklin, Oleg Morozov
Mathematical Model For Measuring The Concentration Of Nanoparticles In A Liquid During Sedimentation, Safaa Mohammed Ridha Hussien Hussien, Airat Sakhabutdinov, Vladimir Anfinogentov, Maxim Danilaev, Vladimir Kuklin, Oleg Morozov
Karbala International Journal of Modern Science
Expanding the application areas of polymer composite materials with dispersed filler requires the development of technologies providing the required mechanical characteristics. One of these methods is based on forming a thin polymer shell on the surfaces of particles. At the same time, it is impossible to take into account the mechanical characteristics of a thin polymer shell due to its ultra-small thickness. The mechanical properties of the polymer shell can be determined only by indirect methods, and prior information can improve the adequacy of the properties determination. The method, which allows reducing the requirements for composite sample preparation, is proposed. …
Clustering And Neighbouring Technique Based Energy-Efficient Routing For Wsns, Ahmed Adil Alkadhmawee, Mohanad Abdulkareem Hasan Hasab, Enas Wahab Abood
Clustering And Neighbouring Technique Based Energy-Efficient Routing For Wsns, Ahmed Adil Alkadhmawee, Mohanad Abdulkareem Hasan Hasab, Enas Wahab Abood
Karbala International Journal of Modern Science
Energy efficiency is the main prerequisite for the permanent and reliable operation of wireless sensor networks (WSNs). Clustering techniques are designed to build energy-efficient networks that enhance network lifetime. Clustering poses certain challenges that directly affect the network performance such as the cluster head selection and routing process. This paper proposes an approach called Clustering and Neighbouring technique Based Energy-Efficient Routing (CNBEER). The CNBEER approach utilises the clustering algorithm and neighbouring technique to prolong the network lifetime by reducing its total energy consumption. The clustering method divides a network into equal-sized clusters to mitigate inessential energy consumption. Moreover, the clustering …
Influence Maximization Based On A Non-Dominated Sorting Genetic Algorithm, Elaf Adel Abbas, Huda Naji Nawaf
Influence Maximization Based On A Non-Dominated Sorting Genetic Algorithm, Elaf Adel Abbas, Huda Naji Nawaf
Karbala International Journal of Modern Science
Influence Maximization (IM) is a problem represented by a set of users who are specified in advance and are usually called the seed. The latter can influence their friends, who can in turn influence others and so on until it reaches the largest number of users within the network. This issue is of ultimate importance in a variety of fields. In the current study, a Non-dominated Sorting Genetic Algorithm II (NSGA-II) has been adopted in influence maximization to produce the so-called NSGAII based IM algorithm (NSGAII-IM). Principally, the population should be represented with individuals of variable lengths as the seed …
Role Of Lepidium Sativum In Treating Diabetes And Managing Bodily Functions’ Disorders In Rats., Gehan El-Emary
Role Of Lepidium Sativum In Treating Diabetes And Managing Bodily Functions’ Disorders In Rats., Gehan El-Emary
Karbala International Journal of Modern Science
: Lepidium sativum seed (LS) is a plant used globally for its medicinal effect in treating diabetes. This study examined the ability of an aqueous extract of LS to treat diabetes and manage disorders of bodily functions. It used 70 male Wistar rats, each weighing between 190 g and 200 g. Diabetes was established in the rats by injecting them with Alloxan Solution at 150 mg/kg of body weight. The rats were considered diabetic if, after 24 hours, their blood glucose levels were higher than 180 mg/dl. Diabetes caused severe alterations in their blood serum glucose (376.608 mg/dl); …