Abstract: This paper focuses on the challenging task of counting the number of people in digital still images, which has important applications in many fields such as security, management, education, and commerce. This paper proposes a system that is based on the Viola-Jones face detection methods. This system consists of two parts: a) face detection and b) counting the detected faces. In the face detection part, the Viola-Jones (LBP and CART feature extraction) algorithm is applied to the input image. In the counting part, the detected faces are counted to estimate the number of people in the given image. The Viola-Jones algorithm is applied using 133 images from the People Image Groups dataset, and the best precision achieved is 96.9%. Overall, this paper presents a promising system for accurately counting the number of people in digital static images using a simple and costeffective approach

This systematic review investigates the impact of the COVID-19 pandemic on cybersecurity by examining the rise of cyberattacks targeting financial institutions. By analyzing over 60 sources including academic research, government reports, and security company data, the review reveals a nearly two-fold increase in cybercrimes targeting financial institutions during the pandemic compared to pre-pandemic levels. Phishing attacks are identified as the most prevalent form of cybercrime within this context. The review delves further by analyzing the differences between phishing and other cyberattacks during COVID-19. Based on the results and observations presented in this paper, the analysis will contribute to enriching strategies to address the growing threat of cybercrime in the financial sector

Urinary tract infections (UTIs) are common infections that happen by many types of bacteria. Some of bacteria have resistance against several types of antibiotics. Many medicinal plants used as an alternative treatment around the world. Marrubium vulgare L has been reported to exhibit several biological properties. Thus, the aim of current study is estimating antimicrobial activities of M. vulgare against Escherichia coli, Klebsiella pneumoniae and Staphylococcus aureus, which caused urinary tract infections, isolated from infected patients. In the results, the growth of all tested bacteria was inhibited strongly by methanol extract at 1.0% (w/v) with inhibition zones 11.00, 11.00 and 15.50 mm against E. coli, k. pneumoniae and S. aureus respectively. Besides, Minimum Inhibitory Concentration (MIC) values were ranged between 0.625 to 1.25 mg/mL. While, Minimum Bactericidal Concentration (MBC) values were ranging between 1.25 to 2.5 mg/mL. On the other hand, hexane extract also was inhibited the growth of E. coli, k. pneumoniae and S. aureus with inhibition zones 10.00, 11.00 and 12.50 mm respectively. In addition, MIC values ranging 2.5 mg/mL, while MBC values of 5 mg/mL against all bacteria.  In conclusion, the methanol extract of M. vulgare had a strongly effects on all bacteria compared to hexane extract, thus it can be developed as anti-bacterial agent.

The World Health Organization declared the COVID-19 outbreak to be a global pandemic in March 2020, also the COVID-19 pandemic has caused drastic changes across the globe, affecting all areas of life. However, the pandemic cannot be ended overnight and more social distancing and other self-care measures are needed to protect our Libyan community. Therefore, people´s awareness, knowledge, attitudes, and appropriate behaviors are instrumental to containing the pandemic. This study aims to create a questionnaire to determine the Libyan society's environmental awareness of COVID-19

In this paper, we introduced two novel subclasses of bi-univalent functions, Με (α, Β(α, ξ)) and ΗΣ (α, μ, Β(x, ξ)), utilizing Lucas-Balancing polynomials. Within these function classes, we established bounds for the Taylor-Maclaurin coefficients |a2| and a3, addressing the Fekete-Szegö functional problems specific to functions within these new subclasses. Moreover, we illustrated how our primary findings could lead to various new outcomes through parameter specialization.