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Articles 181 - 210 of 269
Full-Text Articles in Chemistry
A Content-Based File Identification Dataset: Collection, Construction, And Evaluation, Saja Dheyaa Khudhur, Hassan Awheed Jeiad
A Content-Based File Identification Dataset: Collection, Construction, And Evaluation, Saja Dheyaa Khudhur, Hassan Awheed Jeiad
Karbala International Journal of Modern Science
File-Type Identification (FTI) is one of the essential functions that can be performed by examining the data blocks' magic numbers. However, this examination leads to a challenge when a file is corrupt, or these magic numbers are missing. Content-based analytics is the best way for file type identification when the magic numbers are not available. This paper prepares and presents a content-based dataset for eight common types of files based on twelve features. We designed our dataset to be used for supervised and unsupervised machine learning models. It provides the ability to classify and cluster these types into two levels, …
Nigella Sativa Methanol Extract Inhibits Pc-3 Cell Line Colonization, Induced Apoptosis, And Modulated Lc3-Based Autophagy, Yusuf Toy, Merve Kivrik, Marwa H. Alkhafaji, Aryan M. Faraj, Ibrahim H. Gecibesler, Can A. Ağca
Nigella Sativa Methanol Extract Inhibits Pc-3 Cell Line Colonization, Induced Apoptosis, And Modulated Lc3-Based Autophagy, Yusuf Toy, Merve Kivrik, Marwa H. Alkhafaji, Aryan M. Faraj, Ibrahim H. Gecibesler, Can A. Ağca
Karbala International Journal of Modern Science
Nigella sativa has various pharmacological properties and has been used throughout history for a variety of reasons. However, there is limited data about the effects of Nigella sativa (NS) on human cancer cells. This study aimed at observing the roles of methanolic extract of N. sativa on apoptosis and autophagy pathway in the Human PC3 (prostate cancer) cell line. The cell viability was checked by MTT assay. Clonogenic assay was performed to demonstrate clonogenicity and Western blot was used to check caspase-3, TIGAR, p53, and LC3 protein expression. The results demonstrated that PC3 cell proliferation was inhibited, caspase-3 and p53 …
Ultrasound-Assisted Dibutyl Phthalate Nanocapsules Preparation And Its Application As Corrosion Inhibition Coatings, Uday Bagale, Ammar Kadi, Irina Potoroko, Vinay Rangari, Minakshi Mahale
Ultrasound-Assisted Dibutyl Phthalate Nanocapsules Preparation And Its Application As Corrosion Inhibition Coatings, Uday Bagale, Ammar Kadi, Irina Potoroko, Vinay Rangari, Minakshi Mahale
Karbala International Journal of Modern Science
The current research employs an encapsulation of dibutyl phthalate (DBP) as a corrosion inhibitor in situ polymerization using a sonochemical method to form nanocapsules. The prepared nanocapsules were characterization by using Malvern particle size, Fouri-er transforms infrared spectroscopy (FTIR), Scanning electron microscope (SEM) and Transmission electron microscope (TEM), and thermal and mechanical test to check particle size, morphology, and stability of nanocapsules. Later prepared DBP nanocapsules were incorporated in standard epoxy coating to check its corrosion inhibition resistance. The results show that nanocapsules are spherical, with an average particle size of 337 nm. Scratch nanocapsules epoxy coating shows improves coating …
Heterogeneous Catalytic Degradation Of Dye By Fenton-Like Oxidation Over A Continuous System Based On Box–Behnken Design And Traditional Batch Experiments, Imad M. Luaibi, Mohammed A. Atiya, Ahmed K. Hassan, Zainab A. Mahmoud
Heterogeneous Catalytic Degradation Of Dye By Fenton-Like Oxidation Over A Continuous System Based On Box–Behnken Design And Traditional Batch Experiments, Imad M. Luaibi, Mohammed A. Atiya, Ahmed K. Hassan, Zainab A. Mahmoud
Karbala International Journal of Modern Science
In this study, iron was coupled with copper to form a bimetallic compound through a biosynthetic method, which was then used as a catalyst in the Fenton-like processes for removing direct Blue 15 dye (DB15) from aqueous solution. Characterization techniques were applied on the resultant nanoparticles such as SEM, BET, EDAX, FT-IR, XRD, and zeta potential. Specifically, the rounded and shaped as spherical nanoparticles were found for green synthesized iron/copper nanoparticles (G-Fe/Cu NPs) with the size ranging from 32-59 nm, and the surface area was 4.452 m2/g. The effect of different experimental factors was studied in both batch and continuous …
Optical Measurement And Performance Prediction Of Solar Pv System In Al-Khidhir Zone/Iraq, Faten Sh. Zainulabdeen, Jaber O. Dahloos, Ahmed F. Atwan, Naseer K. Kasim
Optical Measurement And Performance Prediction Of Solar Pv System In Al-Khidhir Zone/Iraq, Faten Sh. Zainulabdeen, Jaber O. Dahloos, Ahmed F. Atwan, Naseer K. Kasim
Karbala International Journal of Modern Science
People have tended for investing the sources of renewable energy, especially solar energy, as they are clean and environmentally friendly sources. The present work aims to invest the measured data of solar irradiance, maximum ambient temperatures and wind speed provided by Al Khidhir Meteorological Station to predict the minimum performance of photovoltaic solar systems (NT-R0E3E-SHARP) for electric power generation. The single diode model is used to calculate the minimum output power produced by solar module and its minimum conversion efficiency based on soalr irradiance, maximum ambient temperatures and wind speed throughout 2020. The results indicate that the annual solar irradiance …
Development Of Effectual Substrates For Sers By Nanostructurs-Coated Porous Silicon, Fatima J. Moaen, Hammad R. Humud, Fouad G. Hamzah
Development Of Effectual Substrates For Sers By Nanostructurs-Coated Porous Silicon, Fatima J. Moaen, Hammad R. Humud, Fouad G. Hamzah
Karbala International Journal of Modern Science
The current paper provides an efficient method for making active and effectual substrates used for detecting molecules by improving surface-enhanced Raman scattering (SERS). These substrates were fabricated using nanostructure-coated porous silicon. The nanostructures were prepared through the electrical exploding wire (EEW) technique. The silver nanowires (AgNWs) were coated with a polydopamine (PDA) layer to form an AgNWs@PDA colloidal solution. Then, the Ag wire was electrically exploded in the colloidal solution to form the (AgNWs@PDA@AgNPs) plasmonic nanostructures as a metal-insulator-metal. The effect of the plasmonic nanostructures’ morphologies on the absorptances spectra and SERS activities were studied utilising Rhodamine 6G (Rh6G) dye …
Preparation And Characteristics Study Of Porous Silicon For Vacuum Sensor Application, Noor S. Dawood, Mehdi Q. Zayer, Muslim F. Jawad
Preparation And Characteristics Study Of Porous Silicon For Vacuum Sensor Application, Noor S. Dawood, Mehdi Q. Zayer, Muslim F. Jawad
Karbala International Journal of Modern Science
Vacuum is a technique that can be employed to measure pressures less than atmosphere (101325 mbar), the vacuum is too important in numerous fields of life. In the present research, the sensor of vacuum has been produced using a porous layer of silicon (Psi). N-type of silicon wafer (Si) has been used for formulating Psi samples utilizing photo-electrochemical etching (PECE) technique. The experimental work was carried out under different etching times (30, 60, and 90 min) while fixing the other parameters, including (24%) Hydrofluoric (HF) acid and (20 mA/cm2) current density. The pore width and depth and porosity …
Study Of Pore Length And Chemical Composition Of Charcoal That Results From The Pyrolysis Of Coconut Shell In Bolaang Mongondow, Sulawesi, Indonesia, Meytij Jeanne Rampe, Ignatius Rachmat S. Santoso, Henny Lieke Rampe, Vistarani Arini Tiwow, Tresia Eti Ayuningsi Rorano
Study Of Pore Length And Chemical Composition Of Charcoal That Results From The Pyrolysis Of Coconut Shell In Bolaang Mongondow, Sulawesi, Indonesia, Meytij Jeanne Rampe, Ignatius Rachmat S. Santoso, Henny Lieke Rampe, Vistarani Arini Tiwow, Tresia Eti Ayuningsi Rorano
Karbala International Journal of Modern Science
Charcoal of coconut shell is produced by pyrolysis at 300oC and chemically activated using HCl. Both pyrolysis charcoal and chemical activation were measured and analyzed by Fourier Transform Infrared (FTIR), Scanning Electron Microscopy (SEM), and Energy Dispersive Spectroscopy (EDS). The functional groups found O-H, aliphatic C-H, aromatic C=C, C-O, and aromatic C-H. The distribution of pyrolysis charcoal pore length and chemical activation increased from 362 nm-1.02 µm to 1.10 µm-1.52 µm. The composition of carbon elements in the mass % of pyrolysis charcoal and chemical activation increased from 86.11% to 88.93%.
In-Vitro Evaluation Of High Dosage Of Curcumin Encapsulation In Palm-Oil-In-Water, Nanoemulsion Stabilized With A Sonochemical Approach, Uday Dasharath Bagale Phd, Aram Tsaturov, Irina Potoroko, Shital Potdar, Shirish Sonawane Phd
In-Vitro Evaluation Of High Dosage Of Curcumin Encapsulation In Palm-Oil-In-Water, Nanoemulsion Stabilized With A Sonochemical Approach, Uday Dasharath Bagale Phd, Aram Tsaturov, Irina Potoroko, Shital Potdar, Shirish Sonawane Phd
Karbala International Journal of Modern Science
Curcumin is unstable under different environmental conditions. To increase the bioavailability and stability of curcumin, it is proposed in the present study to encapsulate it in palm oil-in-water nanoemulsions using ultrasound. The present work deals with maximum curcumin encapsulation into oil forms stable nanoemulsion using a food-grade surfactant and examines its antioxidant assay and in-vitro study. The synthesized curcumin nanoemulsion (CuNE) shows particle size in the range of 14.7 ± 3 nm, 95 ± 0.5% encapsulation efficiency, and provides stability against different environmental parameters. Furthermore, in-vitro analysis of high dosage CuNE shows more than 80-90% retention during simulated gastric and …
Silver Nanoparticles Synthesized By Nd: Yag Laser Ablation Technique: Characterization And Antibacterial Activity, Sahar Naji Rashid Msc., Kadhim A. Aadim Ph.D., Awatif Sabir Jasim Ph.D.
Silver Nanoparticles Synthesized By Nd: Yag Laser Ablation Technique: Characterization And Antibacterial Activity, Sahar Naji Rashid Msc., Kadhim A. Aadim Ph.D., Awatif Sabir Jasim Ph.D.
Karbala International Journal of Modern Science
The pulsed laser ablation in liquid (PLAL) technique can produce high purity nanoparticles, it is a top-down physical method based on the principle of dividing metal ion bulk precursors into metal atoms, this method was used in this work to synthesize silver nanoparticles (AgPNs) by using Nd: YAG laser with two wavelengths (355 nm) and (532 nm) at energies (500 mJ) and (600 mJ) respectively, with the number of pulses (500, 600, 700, 800, and 900 pulses) for each wavelength. The properties of the prepared nanoparticles were investigated by UV-Vis, XRD, SEM with EDX, AFM, and FTIR analysis and then …
Simulation And Improvement Of The Efficiency Of The Cfts Solar Cell Using Scaps-1d, Hardan T. Ghanem Dr., Ayed N. Saleh, Muaamer A. Kamil
Simulation And Improvement Of The Efficiency Of The Cfts Solar Cell Using Scaps-1d, Hardan T. Ghanem Dr., Ayed N. Saleh, Muaamer A. Kamil
Karbala International Journal of Modern Science
A simulation of the AZO/i-ZnO/CdS/CFTS solar cell was carried out using SCAPS software. The results were obtained (Voc=0.55 V, Jsc=6.2 mA/cm2, FF=39 %, ɳ=1.35 %). Simulation results were compared with experimental research and we got convergence in the results (Voc=0.56 V, Jsc=6.5 mA/cm2, FF=37 %, ɳ=1.37 %). The simulated solar cell is improved by increasing the doping concentration and thickness of the buffer and absorption layers. The efficiency of the solar cell was improved to ɳ=4.29%, fill factor FF=52.92%, open circuit voltage Voc=0.74 V and short circuit current Jsc=10.8 mA/cm2
Molecular Characterization Of Wild Pleurotus Ostreatus (Mw457626) And Evaluation Of Β-Glucans Polysaccharide Activities, Ghazwan Q. Hasan Ph.D., Shimal Y. Abdulhadi Ph.D.
Molecular Characterization Of Wild Pleurotus Ostreatus (Mw457626) And Evaluation Of Β-Glucans Polysaccharide Activities, Ghazwan Q. Hasan Ph.D., Shimal Y. Abdulhadi Ph.D.
Karbala International Journal of Modern Science
Pleurotus ostreatus is a common cultivated edible mushroom worldwide. The fruiting bodies of P. ostreatus is a rich source of a β-glucans polysaccharide. The current study aimed to investigate the effectiveness of β-glucans as a natural polysaccharide produced by P. ostreatus as an antioxidant, antimicrobial, and anticancer. The molecular identification of P. ostreatus isolate was confirmed by Internal Transcribed Spacer (ITS) sequence. The sequence alignment and phylogenetic evolutionary relationship of studied ITS sequence were performed against some deposited sequences in GenBank. The analysis of high-performance liquid chromatography (HPLC) as well as the result of fourier transform infrared spectroscopy …
Imidazole Derivative Improves Antioxidant Status And Causes Differential Alteration Of Redox-Status In Drosophila Melanogaster, Elizabeth Temidayo Oluwayemi, Oluwakemi Josephine Awakan, Abiodun Omokehinde Eseola, Winfried Plass, Oluyomi Stephen Adeyemi
Imidazole Derivative Improves Antioxidant Status And Causes Differential Alteration Of Redox-Status In Drosophila Melanogaster, Elizabeth Temidayo Oluwayemi, Oluwakemi Josephine Awakan, Abiodun Omokehinde Eseola, Winfried Plass, Oluyomi Stephen Adeyemi
Karbala International Journal of Modern Science
This study investigated the toxicity of a new imidazole compound, 1-(1,4,5-triphenyl-1H-imidazol-2-yl)-naphthalen-2-ol, through the evaluation of selected oxidative stress markers and antioxidants. Both male and female D. melanogaster (3–5 days old) were fed a diet containing the imidazole derivative (20, 50, and 100 mg IMZ/kg diet) for five days. After cessation of imidazole treatment, half the population of the imidazole-exposed flies was homogenized for biochemical assays, while the other half of the flies was allowed to have a normal diet for an additional five days to see if any induced effect would be resolved. Imidazole derivatives did not significantly …
Glcms Based Multi-Inputs 1d Cnn Deep Learning Neural Network For Covid-19 Texture Feature Extraction And Classification, Elaf Ali Abbood, Tawfiq A. Al-Assadi
Glcms Based Multi-Inputs 1d Cnn Deep Learning Neural Network For Covid-19 Texture Feature Extraction And Classification, Elaf Ali Abbood, Tawfiq A. Al-Assadi
Karbala International Journal of Modern Science
Coronavirus disease 2019 epidemic (COVID-19) is an infectious disease that appeared because of the newest version of discovered coronavirus. The advent and rapid spread of this disease over the world necessitated a concerted effort to contain and eradicate it. Computer Tomography (CT) imaging and X-Ray images are considered as one of the important medical examinations used for disease diagnosis. To speed up and confirm the correctness of the medical diagnosis, many artificial intelligence techniques and machine learning methods are proposed. In this paper, a new and efficient proposed system is introduced to extract appropriate and meaningful features for CT scans …
A Convenient Green Method To Synthesize Β-Carotene From Edible Carrot And Nanoparticle Formation, Baker A. Joda, Zena M. Abed Al-Kadhim, Hussian J. Ahmed, Alaa K. H. Al-Khalaf
A Convenient Green Method To Synthesize Β-Carotene From Edible Carrot And Nanoparticle Formation, Baker A. Joda, Zena M. Abed Al-Kadhim, Hussian J. Ahmed, Alaa K. H. Al-Khalaf
Karbala International Journal of Modern Science
A simple green chemistry approach was used to synthesize β-carotene from edible carrot without using solvent and heat. In this study, beta-carotene was extracted from edible carrots through a natural extraction method with several physical technical steps. The extracted sample was isolated using high-performance liquid chromatography (HPLC). A β-carotene peak was detected from HPLC with an absorbance maximum (2.135 mAU). The absorption of UV-Visible spectrum indicated that beta-carotene absorbs most strongly between 230-300 and 400-500 nm. The functional groups, namely, C=C (1649 cm-1), =C-H (900-900 cm-1) vibrations of antisymmetric deformation of CH3 groups and CH …
Machine Learning-Based Soft Computing Regression Analysis Approach For Crime Data Prediction, Rabia Musheer Aziz, Aftab Hussain, Prajwal Sharma, Pavan Kumar
Machine Learning-Based Soft Computing Regression Analysis Approach For Crime Data Prediction, Rabia Musheer Aziz, Aftab Hussain, Prajwal Sharma, Pavan Kumar
Karbala International Journal of Modern Science
The crime rate in India is considerably increasing day by day. Consequently, the data associated with crime is also increasing, opening doors for data-driven approaches to these data to extract insightful knowledge, which can help police and other law enforcement organizations of the country in crime control and prevention. Crime prediction using machine learning algorithms on crime data can predict region-wise crime counts. In this paper, a machine learning-based soft computing regression analysis approach for Indian Crime Data Analysis (ICDA) is proposed. Different regression algorithms, namely, Simple Linear Regression (SLR), Multiple Linear Regression (MLR), Decision Tree Regression (DTR), Support Vector …
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.
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
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.