The explosion of information technology, besides its positive aspects, has raised many issues related to personal information and personal data in the network environment. Because children are vulnerable to abuse, fraud and exploitation, protecting children’s personal information and personal data is always of concern to many countries. From the concept and characteristics of personal information and personal data of children in Europe, the United States and Vietnam, it can be seen that children’s personal information and personal data protection is very necessary in every country today. This research focuses on the age considered a child, the child’s consent and his or her parental consent when providing and processing personal information or personal data of children under the laws of the EU, US and Vietnam. Therefore, the article proposes some recommendations related to the child’s consent and his or her parental consent in protecting children’s personal data in Vietnam.

"Where is the fog" is a reading text in the seventh unit of the second grade of primary school Chinese in the unified edition. The humanistic theme of this unit is "the beauty of imagination", and the language element is to develop imagination and obtain a preliminary emotional experience. "Where is the Fog" is an interesting fairy tale. The language of the text is lively and full of childlike innocence, which fits the age characteristics of children in lower grades. According to the characteristics of the text and the characteristics of the students, in the teaching, through the creation of life situations, combined with the students' actuality, and the way of writing paragraphs, the students are guided to read the naughty "fog", taste the charm of the language, and lead the students to enter the colorful imaginary world.

Objective: This research analyzed the psychometric properties of the Ambivalent Classism Inventory (ICA) in Peru. Methodology: A critical review of literature related to poverty, inequality, and structural gaps was conducted, involving 882 participants aged 14 to 89 years (M = 24.61, SD = 9.07). Results: Exploratory-confirmatory factor analyses were satisfactory, finding a similar factorial structure to the original scale and the adaptation (hostile classism, protective paternalism, and complementary class differentiation). Regarding items, there was a reduction, leaving only 12; however, comparing alternative models, the three-factor structure with 12 reagents showed adequate fit (χ² = 214.588, df = 51, p < 0.001; CFI = 0.996; RMSEA = 0.060; SRMR = 0.033), allowing for invariance testing. Practical Implications: The scale allows for investigating attitude profiles of individuals with privileged social class. Contribution: The instrument is a valuable contribution, considering that the nation has a high poverty rate, leading to economic, political, and social inequality among the population.

It is important for society to know the actions implemented by companies in the construction sector to reduce the environmental pollution generated by this industry and to contribute to the solution of economic and social problems in their environment; however, the variables that allow identifying their contributions and impacts are not known. Based on this problem, the study focuses on identifying the factors that influence sustainability management within the construction sector in Colombia. The research presents a predictive approach and uses a quantitative methodology, applying statistical modeling techniques. The sample corresponds to 84 Colombian companies. As a result, a system of equations of the form y=mx+b is presented to describe the deviation of the environmental, economic, social, compensation measures, management, indicators and sustainability reports. The analysis of the intersections constitutes a projective tool to evaluate the relationships and balance points between the dimensions analyzed, helping to identify strengths and opportunities for improvement.

Cyber-physical Systems (CPS) have revolutionized urban transportation worldwide, but their implementation in developing countries faces significant challenges, including infrastructure modernization, resource constraints, and varying internet accessibility. This paper proposes a methodological framework for optimizing the implementation of Cyber-Physical Urban Mobility Systems (CPUMS) tailored to improve the quality of life in developing countries. Central to this framework is the Dependency Structure Matrix (DSM) approach, augmented with advanced artificial intelligence techniques. The DSM facilitates the visualization and integration of CPUMS components, while statistical and multivariate analysis tool such as Principal Component Analysis (PCA) and artificial intelligence methods such as K-means clustering enhance complex system the analysis and optimization of complex system decisions. These techniques enable engineers and urban planners to design modular and integrated CPUMS components that are crucial for efficient, and sustainable urban mobility solutions. The interdisciplinary approach addresses local challenges and streamlines the design process, fostering economic development and technological innovation. Using DSM and advanced artificial intelligence, this research aims to optimize CPS-based urban mobility solutions, by identifying critical outliers for targeted management and system optimization.

How can social enterprises implement Total Quality Management (TQM) to tackle urgent social issues within their organizational framework while also ensuring their continued viability? To address this question, this study aims to explore the organizational approach to the adoption and implementation of TQM practices and their efficacy in mitigating pressing social challenges and maintaining financial sustainability. It adopts a qualitative multiple-case research design involving 3 social enterprises to explore the research phenomenon. Following qualitative research analysis process using NVivo, our findings highlight a prevalent, short-term outlook in managing TQM, hindering the full potential of TQM to achieve both social impact and organizational sustainability. More specifically, they expose a significant dissonance within the case organizations’ TQM implementations: the contrast between the current state, indicative of what it is, and the ideal state, indicative of what it should be. Altogether, the study advocates leveraging TQM for long-term excellence and alignment in social enterprises (as opposed to short-term mediocrity and disarray), thereby facilitating the achievement of both social impact and financial sustainability.