This paper provides new evidence on human resources management within the public sector. We explore the impact and mechanisms of the education and skills of tax inspectors on tax uncertainty using data from A-share-listed companies from 2009 to 2016. Our findings show that tax uncertainty is negatively correlated with the increase in human capital in the tax inspection bureau. That is, tax inspectors with higher levels of education and those who are certified tax agents help reduce tax uncertainty. Further analysis demonstrates that the impact of tax inspectors on tax uncertainty is most pronounced within large-scale and long-established firms.

As China’s urbanization process accelerates, it has become common for rural men to go out to work and women to stay at home. The implementation of China’s rural revitalization strategy is in dire need of a large amount of high-quality human capital, and education and training are an important way to improve human capital and empower left-behind women. Starting from the background of China’s rural revitalization, this study focuses on the education and training of rural left-behind women, a topic that has received less attention. Through in-depth interviews and participatory observation, we analyzed the factors affecting rural left-behind women’s participation in education and training, as well as the problems that exist in China’s rural education and training process, and proposed strategies to solve them. The study found that education level, traditional attitudes, economic income, knowledge of education and training, and mental health are important factors affecting the participation of left-behind women in education and training in rural China. At the same time, there are some problems in the process of education and training, such as a single main body of supply and training methods, a lack of teachers, and a lack of management, etc., which affect the development of education and training, and thus also the promotion of rural revitalization.

This article analyses the effectiveness of humanitarian assistance in relation to the Sustainable Development Goals (SDGs) in the Minawao refugee camp in Cameroon, focusing on the social pillar of sustainable humanitarian. Established in 2013 to accommodate Nigerians fleeing the violence of Boko Haram, the camp now faces growing challenges related to the sustainability of assistance. Based on a mixed methodological approach, the analysis draws on data collected from humanitarian operators, refugees and the host community. The data was collected using tools such as participant observation, individual and group interviews, questionnaire surveys, mapping, documentary review, etc. Although essential infrastructure has been put in place, the study reveals that minimum humanitarian standards are not being met in several key sectors: food security, education, sanitation, shelter provision and Non Foods Items (NFIs). The lack of financial resources, combined with insufficient involvement by the Cameroonian government, has led to a gradual erosion of social protection for refugees. Maintaining assistance on a temporary basis compromises the integration of the SDGs into humanitarian operations. The article highlights the need for a forward-looking approach by humanitarian agencies, coordination between stakeholders and the involvement of new partners, including refugees, to guarantee their well-being and the achievement of the SDGs.

This study evaluates the effectiveness of human resources (HR) practices on teaching and learning outcomes in primary education. The research was guided by four research questions and two research hypotheses. The study utilized a survey design via Google Forms for efficient data collection on human resources practices’ effectiveness in primary education. The questionnaire, validated by experts, garnered 60 responses within a month. Data analysis in Statistical Package for the Social Sciences (SPSS) included descriptive statistics and analysis of variance (ANOVA) techniques, adhering to ethical standards. The findings highlight the importance of HR practices that accommodate diversity, support inclusivity, and foster a sense of belonging for all students. Challenges in implementing inclusive HR practices are also identified, emphasizing the need for ongoing efforts to promote inclusivity and equity in primary education. The study concludes by advocating for the development and implementation of effective HR strategies to enhance teaching and learning outcomes in primary education.

Machine analysis of detection of the face is an active research topic in Human-Computer Interaction today. Most of the existing studies show that discovering the portion and scale of the face region is difficult due to significant illumination variation, noise and appearance variation in unconstrained scenarios. To overcome these problems, we present a method based on Extended Semi-Local Binary Patterns. For each frame, an aggregation of the pixel values over a neighborhood is considered and a local binary pattern is obtained. From these a binary code is obtained for each pixel and then histogram features is computed. Adaboost algorithm is used to learn and classify these discriminative features with the help of exemplar face and non-face signature of the images for detecting the location of face region in the frame. This Extended Semi Local Binary Pattern is sturdy to variations in illumination and noisy images. The developed methods are deployed on the real time YouTube video face databases and found to exhibit significant performance improvement owing to the novel features when compared to the existing techniques.

Orientation: Indeed, the 4th industrial revolution (4IR) has redefined the world of work. A new set of skills needs to be defined and made available to organisations. Human resource management practices now operate in a complex, interconnected, unpredictable, and evolving environment. The question that one needs to answer is: how can HR align its functions to meet the demands of the fourth IR? It is prudent that human resource functions evolve quickly and adapt to changing demands. Research purpose: This paper seeks to unpack the changes that have been brought about by the 4IR and suggest ways in which HR professionals in Lesotho can align with this inevitable era of digitalisation. Motivation for the study: Due to the dynamics and transformations that have been brought about by the 4IR, this study was motivated by the need to understand the effects of the 4IR in small economies on the HR function and offer lessons to embrace change. Research approach: The research was qualitative in nature, and data was collected purposefully from journal articles, newspapers, and book chapters. Content analysis was used for the data analysis. Research findings: The effects of the 4IR through digitalisation disruptions have been felt across all corporate functions, and HR is no exception. It has had a massive influence on both the economy and the labour force and impacted employee roles in terms of health, mobility, working hours, personal life, and general administration. HR leaders play a critical role in ensuring that businesses are able to successfully adopt and deploy new technologies. Contributions: The research unpacks the effects of 4IR and gives practical lessons for HR professionals in Lesotho.