With the development of the new situation, the "00s" have become the mainstream college students in universities, and the "05s" are about to enter universities. The group of college students born in the 2000s has shown ideological characteristics such as high openness, strong self-esteem, strong individualism, active thinking, and weak psychological resilience, which have brought new challenges to ideological and mental health education in universities. At present, it has become a common trend for graduate students in universities to serve as part-time counselors, and the structure of university counselors is generally "a combination of full-time and part-time, with full-time as the main focus, and full-time leading and part-time". As a full-time counselor in a university, I have worked as a part-time counselor during my graduate studies. Based on my personal and practical experience as a part-time counselor, I will consider and study the impact of part-time counselors on the construction of the university counselor team. In order to make the construction of the university counselor team more professional, professional, and diversified, I will propose constructive suggestions.

Hospitals belong to public places, and implementing refined management in hospitals is a need for patients. Under party building management, hospitals must manage hospitals in accordance with the party's governing philosophy. In the new era, China's party building management is facing enormous challenges. In order to implement party and government management in the new era, hospitals must strengthen their understanding of party building and further implement refined management at a deeper level.

The reform of the training mode for English majors in the context of the new liberal arts is a dynamic process that conforms to social needs, continuously improves and optimizes. After a series of special investigations, this article proposes development ideas for the cultivation of English majors in local applied undergraduate universities based on the analysis of the demand for English majors' abilities in the job market. The aim is to solve the problems of unclear characteristics of English major talent cultivation in local applied undergraduate universities and weak competitiveness of graduates in employment.

Urban morphologies in the global south are shaped by a complex interplay of historical imprints, from colonial legacies and ethnic tensions to waves of modernization and decolonization efforts. This study delves into the urban morphology of Hangzhou during the late 19th and early 20th centuries, unraveling its transformative patterns steered by a convergence of spatial politics, economic forces, and cultural dynamics. Drawing upon a unique blend of historical map restoration techniques, we unearth pivotal morphological nuances that bridge Hangzhou’s transition from its pre-modern fabric to its modern-day urban layout. We uncover key shifts such as the movement from intricate street layouts to systematic grids, the strategic integration of public spaces like West Lakeside Park, and the city’s evolving urban epicenter mirroring its broader socio-political and economic narratives. These insights not only spotlight Hangzhou’s distinct urban journey in the context of ethnic conflicts, Western influences, and decolonization drives but also underscore the value of context-sensitive urban morphological research in the global south. Our findings emphasize the criticality of synergizing varied methodologies and theoretical perspectives to deepen our comprehension of urban transitions, sculpt place identities, and invigorate public imagination in global urban planning.

To gain a deep understanding of maintenance and repair planning, investigate the weak points of the distribution network, and discover unusual events, it is necessary to trace the shutdowns that occurred in the network. Many incidents happened due to the failure of thermal equipment in schools. On the other hand, the most important task of electricity distribution companies is to provide reliable and stable electricity, which minimal blackouts and standard voltage should accompany. This research uses seasonal time series and artificial neural network approaches to provide models to predict the failure rate of one of the equipment used in two areas covered by the greater Tehran electricity distribution company. These data were extracted weekly from April 2019 to March 2021 from the ENOX incident registration software. For this purpose, after pre-processing the data, the appropriate final model was presented with the help of Minitab and MATLAB software. Also, average air temperature, rainfall, and wind speed were selected as input variables for the neural network. The mean square error has been used to evaluate the proposed models’ error rate. The results show that the time series models performed better than the multi-layer perceptron neural network in predicting the failure rate of the target equipment and can be used to predict future periods.

Remote sensing technologies have revolutionized forestry analysis by providing valuable information about forest ecosystems on a large scale. This review article explores the latest advancements in remote sensing tools that leverage optical, thermal, RADAR, and LiDAR data, along with state-of-the-art methods of data processing and analysis. We investigate how these tools, combined with artificial intelligence (AI) techniques and cloud-computing facilities, enhance the analytical outreach and offer new insights in the fields of remote sensing and forestry disciplines. The article aims to provide a comprehensive overview of these advancements, discuss their potential applications, and highlight the challenges and future directions. Through this examination, we demonstrate the immense potential of integrating remote sensing and AI to revolutionize forest management and conservation practices.