Due to the current COVID-19 pandemic, guaranteeing thermal comfort and low CO₂ levels in classrooms through efficient ventilation has become vitally important. This study presents three-dimensional simulations based on computational fluid dynamics of airflow inside an air-conditioned classroom located in Veracruz, Mexico. The analysis included various positions of an air extractor, Reynolds numbers up to 3.5 × 10⁴, four different concentrations of pollutant sources, and three different times of the day. The simulations produced velocity, air temperature, and CO₂ concentrations fields, and we calculated average air temperatures, average CO₂ concentrations, and overall ventilation effectiveness. Our results revealed an optimal extractor position and Reynolds number conducive to thermal comfort and low CO₂ levels due to an adequate ventilation configuration. At high pollutant concentrations, it is necessary to reduce the number of students in the classroom to achieve safe CO₂ levels.

The aim of this study was to verify whether there are significant differences between the profiles of the mean score students from a sample of three universities, regarding attitude toward the statistics’ course and attitude toward the statistical field. The universities were: Universidad Cristóbal Colón (UCC), Universidad Politécnica de Aguascalientes (UPA) and Universidad Autónoma de San Luis Potosí (UASLP). The Attitudes toward Statistics (ATS) scale -proposed by Wise in 1985- was utilized for this purpose. The survey was conducted among 672 students enrolled in mathematics courses, and data were processed through discriminant analysis. The results suggest that the ATS of students at UPA are distinct from the attitude observed on students at UCC, and the ATS of students at UASLP are different from students at UCC and UPA.

Most mathematics students show a definite tendency toward an attitudinal deficiency, which can be primarily understood as intolerance to the matter, affecting their scholar performance adversely. In addition, information and communication technologies have been gradually included within the process of teaching mathematics. Such adoption of technology modified the educational process, thus generating a meaningful impact as presented by studies carried out by Galbraith and Haines (2000). They developed a theoretical model aiming to explain this phenomenon from the component elements of attitude toward mathematics and computers: Mathematics engagement, mathematics confidence, mathematics motivation, computer confidence, and student's interaction with mathematics and computer. The purpose of this study was validating that model against experimental data coming from a sample of undergraduates from the fields of administration and economics. The collected data was processed applying multivariate data analysis using structural equation modeling technique. The observed fit indices corroborated that the theoretical model adjusts statistically well to the empirical data, even though the observed variance stayed below the optimal value. The evidence obtained in this study validates the theoretical model while revealing that additional weightings for the indicators should still be explored.

Cybersecurity is fundamental nowadays, both in industrial environments as well as in homes and social networks. It is of vital importance due to the fact that sensitive information is constantly being entered into computing devices, which are easily accessible to cybercriminals when there is insufficient computer security, lack of resources or simply out of ignorance or the assumption that one is insignificant as a target. Therefore, this article aims to delve into the privacy policies and understand the data that is sent from an Android mobile device to the servers of the social network called TikTok. Understanding how personal information is handled and protected is critical in an era where the digital landscape is intertwined with our daily lives. By examining the mechanisms and protocols used by platforms such as TikTok, we can gain insight into potential risks and vulnerabilities that may arise in the process. By fostering a deeper understanding of privacy and data security practices in relation to popular apps and platforms, individuals can make informed decisions about their digital footprint and take proactive steps to protect their personal information.

Electricity is highly versatile in terms of generation, transformation, transmission and distribution, but its large-scale storage poses significant challenges. One of the main obstacles facing electricity generation and supply systems is the difficulty of storing energy during periods of low demand in order to use it later at times of high demand, a challenge particularly relevant in the context of renewable energies. Renewable energy sources have a fundamental disadvantage due to their intermittent nature. The production of energy from renewable sources is not constant, as it is highly dependent on prevailing weather conditions. As they do not guarantee a constant and secure supply, their use is limited. For renew abIes to become a viable alternative to conventional energy sources, it is essential to address the challenges related to electricity supply and energy storage. This paper will provide a detailed description of the various energy storage technologies available worldwide.

Two distinct chemical methods, thermal reduction and hydrothermal method, were employed to deposit silver nanoparticles onto the nanowires. These silver-deposited nanowires were termed “SERS substrates.” Characterization was conducted using scanning electron microscopy (SEM) X-Ray diffraction (XRD) and Raman spectroscopy. SEM, Raman and XRD analysis facilitated the examination of silver nanoparticle deposition onto the nanowires. These SERS substrates were subjected to rhodamine tests to assess their effectiveness. Additionally, an investigation was carried out to determine which substrate provided the greatest amplification of the Raman signal. The findings of this study furnish valuable insights into the efficiency of the two silver deposition methods onto anodized copper hydroxide nanowires. This research underscores the utility of these SERS substrates in enhancing Raman signals, which could have significant applications in various fields such as optical sensors.