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An Evaluation of Activity of Prepared Zinc Nanoparticles with Extract Green Plant in Treatments of Diclofenac, Levofloxacin, and Tetracycline in Water
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Myrtle plant was washed, dried, and powdered after harvesting to produce a fine powder used in water treatment. An alcoholic extract was created from the myrtle plant using ethanol, which was then analyzed using GC-Mass, Fourier Transform Infrared spectroscopy, and ultraviolet-visible spectroscopy to identify the active components. Zinc nanoparticles were created using alcoholic extract. FT-IR, UV-Vis, SEM, EDX, and TEM were used to characterize zinc nanoparticles. Using a continuous processing procedure, zinc nanoparticles with myrtle extract and powder were employed to clean polluted water containing pesticides and antibiotic. First, 2 g of zinc nanoparticles was mixed with 20 ml of polluted water and the result was (Tetra 44%, Levo 32%), after that used 4 g (Tetra 100%, Levo 100%). Next, myrtle plant was used to treat water (Tetro 100%, Levo 100%). As compared myrtle powder with zinc nanoparticle, it was found that myrtle plant was preferred in water treatment.

Publication Date
Wed Jan 01 2025
Journal Name
Journal Of Nanostructures
Association Between Silver Nanoparticle Dose and Brain or Renal NF-ΞΊB Gene Expression
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Several studies have claimed that AgNPs’ safety is not completely verified. The current work studied the CNS and renal genetic abnormalities (as manifested by modifications in NF-κB transcription) in mice treated with diverse AgNP concentrations. The findings revealed that as the amount of AgNPs was elevated, NF-κB production increased considerably.

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Publication Date
Wed Sep 26 2018
Journal Name
Communications In Computer And Information Science
A New RGB Image Encryption Based on DNA Encoding and Multi-chaotic Maps
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Publication Date
Wed Jul 02 2025
Journal Name
Advances In Nonlinear Variational Inequalities
Suggesting Approximation and Exact Algorithms to Solve New Tri-Criteria Machine Scheduling Problems
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This study presents the multi criteria single-machine model. The machine scheduling problem (MSP) for ntasks on a single machine involves minimizing a function of three criteria: total completion time (C_j),maximum earliest (E_max), and tardiness (〖ΣT〗_j), This is an NP-hard issue. Within this work's theoretical section, we present the mathematical formulation of The presented topic thenhighlights the usefulness of the dominance rule (DR), which may be used to develop effective solutions. Whilein the practical part, one of the important exact methods; The proposed MSP tricriteria are solved by applyingthe Branch and Bound (BAB) method, which finds a set of efficient solutions for 1//F(ΣC_j ,ΣT_j ,E_max) upto n=100 jobs. The BAB appro

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Publication Date
Fri Jan 01 2021
Journal Name
Journal Of Intelligent Systems
Void-hole aware and reliable data forwarding strategy for underwater wireless sensor networks
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Abstract<p>Reliable data transfer and energy efficiency are the essential considerations for network performance in resource-constrained underwater environments. One of the efficient approaches for data routing in underwater wireless sensor networks (UWSNs) is clustering, in which the data packets are transferred from sensor nodes to the cluster head (CH). Data packets are then forwarded to a sink node in a single or multiple hops manners, which can possibly increase energy depletion of the CH as compared to other nodes. While several mechanisms have been proposed for cluster formation and CH selection to ensure efficient delivery of data packets, less attention has been given to massive data co</p> ... Show More
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Publication Date
Mon Jun 01 2026
Journal Name
Statistics, Optimization &amp; Information Computing
Predicting Public Budget Surplus and Deficit Using a Hybrid 1D-CNN–LSTM Model
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The fiscal position of governments in rentier economies depends heavily on oil revenues. The relationship between oil prices and the budget surplus or deficit is often nonlinear and characterized by complex temporal dependencies, which may limit the predictive capability of conventional econometric models. Accordingly, this study aims to forecast the Iraqi budget surplus and deficit and compare the predictive performance of the ARDL, NARDL, LSTM, 1D-CNN, and hybrid 1D-CNN-LSTM models using oil prices as the primary predictive variable. The hybrid model integrates the feature-extraction capability of One-Dimensional Convolutional Neural Networks (1D-CNN) with the ability of Long Short-Term Memory (LSTM) networks to capture long-term

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Publication Date
Thu Jun 01 2023
Journal Name
2023 Ieee 36th International Symposium On Computer-based Medical Systems (cbms)
Toward a Minimal sEMG Setup for Knee and Ankle Kinematic Estimation during Gait
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Publication Date
Wed Dec 22 2021
Journal Name
Mathematical Modelling Of Engineering Problems
Forward Kinematic and Jacobian Matrix for the Prosthetic Human Finger Actuated by Links
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The most important function of a prosthetic hand is their ability to perform tasks in a manner similar to a natural hand, so it is necessary to perform kinematic analysis to determine the performance and the ability of the prosthetic human finger design to work normally and smoothly when it's drive by two sets of links that embedded in its structure and pulled by a servomotor, so the Denvit-Hartenberg method was used to analyse the forward kinematics for the prosthetic finger joints to deduction the trajectory of the fingertip and the velocity of the joints was computed by using the Jacobian matrix. The prosthetic finger was modelled by the Solidwork - 2018 program and the results of kinematics were verified using MATLAB. The analys

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Publication Date
Tue Aug 01 2023
Journal Name
International Journal Of Online And Biomedical Engineering (ijoe)
End-to-End Speaker Profiling Using 1D CNN Architectures and Filter Bank Initialization
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The automatic estimation of speaker characteristics, such as height, age, and gender, has various applications in forensics, surveillance, customer service, and many human-robot interaction applications. These applications are often required to produce a response promptly. This work proposes a novel approach to speaker profiling by combining filter bank initializations, such as continuous wavelets and gammatone filter banks, with one-dimensional (1D) convolutional neural networks (CNN) and residual blocks. The proposed end-to-end model goes from the raw waveform to an estimated height, age, and gender of the speaker by learning speaker representation directly from the audio signal without relying on handcrafted and pre-computed acou

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Publication Date
Tue Sep 29 2026
Journal Name
Plant Science Today
Exploring Euphorbia peplus L. (Euphorbiaceae): Traditional uses, phytochemistry and therapeutic applications: A review
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Euphorbia peplus L. (Euphorbiaceae), commonly known as petty spurge, is a cosmopolitan weed widely distributed across Iraq. Historically used in ethnomedicine, the species is recognised for the topical application of its milky latex to treat skin conditions, including warts, corns and cutaneous malignancies. Recent phytochemical profiling has identified an array of secondary metabolites, primarily complex diterpenoids, including ingenane and jatrophane esters, as well as triterpenoids, flavonoids, phenolic acids, tannins and alkaloids. Modern research has validated these traditional applications. Beyond oncology, recent preliminary studies demonstrated the probable anti-inflammatory, antimicrobial, antidiabetic and antileishmanial p

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Publication Date
Thu Aug 01 2019
Journal Name
International Journal Of Research - Granthaalayah
MULTIPLE MIXING RATIOS OF GAMMA RAY TRANSITIONS FROM πŸ”πŸŽππ πŸπŸ’πŸβˆ’ πŸπŸ“πŸŽ (𝐧, 𝐧 ΛŠπ›„) πŸ”πŸŽππ πŸπŸ’πŸβˆ’ πŸπŸ“πŸŽ REACTION USING π’‚πŸ- RATIO METHOD
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In the current work, the mixing ratios ( 𝛿 ) of gamma transitions were calculated from energy levels in the isotopes neodymium 60𝑁𝑎 142−150 populated in the 60Nd 142− 150 (n, n ˊγ) 60Nd 142− 150 using the 𝑎2 ratio method. We used the experimental coefficient (𝑎2 ) for two γ-transitions from the initial state itself, the statistical tensor 𝜌2(𝐽𝑖), associated with factor 𝑎2 , would be the same for the two transitions. The results obtained are in good agreement or within the experimental error with -those previously published. And existing contradictions resulting from inaccuracies in the empirical results of previous work. The current results confirm that the , 𝑎2 − method is used to calculate th

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