Moderately, advanced national election technologies have improved political systems. As electronic voting (e-voting) systems advance, security threats like impersonation, ballot tampering, and result manipulation increase. These challenges are addressed through a review covering biometric authentication, watermarking, and blockchain technologies, each of which plays a crucial role in improving the security of e-voting systems. More precisely, the biometric authentication is being examined due to its ability in identify the voters and reducing the risks of impersonation. The study also explores the blockchain technology to decentralize the elections, enhance the transparency and ensure the prevention of any unauthorized alteration or

José Echegaray, dramaturgo español, obtuvo premio Nóbel de literatura en (1904), político, orador, economista y dramaturgo. Con su obra "El gran Galeoto" en 1881, llegó a la cumbre de la popularidad.
Henrik Ibsen, dramaturgo noruega, creador del drama moderno, por sus obras realistas que abordan problemas psicológicos y sociales. Y a que fue el iniciador del teatro de tesis del teatro social. Ibsen, dramaturgo noruega, cuya obra influyó notablemente en el teatro europeo de finales del s. XIX y principios del XIX ; en gran parte en la obra de Echegaray, Galdós (1) y Benavente (2).
Los presentes autores empezaron sus producciones bajo el romanticismo que fue poco a poco añadiendo ideas del naturalismo y el realismo dramátic

José Echegaray, dramaturgo español, obtuvo premio Nóbel de literatura en (1904), político, orador, economista y dramaturgo. Con su obra "El gran Galeoto" en 1881, llegó a la cumbre de la  popularidad.

   Henrik Ibsen, dramaturgo noruega, creador del drama moderno, por sus obras realistas que abordan problemas psicológicos y sociales. Y a que fue el iniciador del teatro de tesis del teatro social. Ibsen, dramaturgo noruega, cuya obra influyó notablemente en el teatro europeo de finales del s. XIX y principios del XIX ; en gran parte en la obra de Echegaray, Galdós (1) y Benavente (2).

   Los presentes autores empezaron sus producciones bajo el romanticismo que fue poco a poco añadiendo ide

In this work, a novel biocatalytic process for the production of 7-methylxanthines from theobromine, an economic feedstock has been developed. Bench scale production of 7-methlxanthine has been demonstrated. The biocatalytic process used in this work operates at 30 ^OC and atmospheric pressure, and is environmentally friendly. The biocatalyst was E. coli BL21(DE3) engineered with ndmB/D genes combinations. These modifications enabled specific N₇- demethylation of theobromine to 7-methylxanthine. This production process consists of uniform fermentation conditions with a specific metabolically engineered strain, uniform induction of specific enzymes for 7-methylxanthine production, uniform recovery an

Voting is one of the most fundamental components of a democratic society. In 2021 Iraq held the Council of Representatives (CoR) elections in 83 electoral constituencies in 19 governorates. Nonetheless, several significant issues arose during this election, including the problem of logistics distribution, the excessively long period of ballot counting, voters can't know if their votes were counted or if their ballots were tampered with, and the inconsistent regulation of vote counting. Blockchain technology, which was just invented, may offer a solution to these problems. This paper introduces an electronic voting system for the Iraq Council of Representatives elections that is based on a prototype of the permission hyperledger fabr

This paper proposes a better solution for EEG-based brain language signals classification, it is using machine learning and optimization algorithms. This project aims to replace the brain signal classification for language processing tasks by achieving the higher accuracy and speed process. Features extraction is performed using a modified Discrete Wavelet Transform (DWT) in this study which increases the capability of capturing signal characteristics appropriately by decomposing EEG signals into significant frequency components. A Gray Wolf Optimization (GWO) algorithm method is applied to improve the results and select the optimal features which achieves more accurate results by selecting impactful features with maximum relevance

General Background: Deep image matting is a fundamental task in computer vision, enabling precise foreground extraction from complex backgrounds, with applications in augmented reality, computer graphics, and video processing. Specific Background: Despite advancements in deep learning-based methods, preserving fine details such as hair and transparency remains a challenge. Knowledge Gap: Existing approaches struggle with accuracy and efficiency, necessitating novel techniques to enhance matting precision. Aims: This study integrates deep learning with fusion techniques to improve alpha matte estimation, proposing a lightweight U-Net model incorporating color-space fusion and preprocessing. Results: Experiments using the AdobeComposition-1k