This paper explores the relationship between human resource (HR) investment decisions and financial performance in Singaporean companies, with a focus on real-world case studies. By analyzing the HR strategies of three prominent companies—Singtel, DBS Bank, and Singapore Airlines—the study highlights how HR investments in leadership development, employee well-being, and talent management contribute to financial success. The paper adopts a qualitative approach, utilizing company reports and public data to assess the impact of these HR practices. Key findings demonstrate that strategic HR investments aligned with organizational goals improve productivity, profitability, and resilience in the face of external challenges. The research also discusses the importance of measuring HR’s return on investment (ROI) and calls for a closer partnership between HR and finance departments. While econometrics is mentioned as a potential tool for future research, this paper relies on qualitative insights to provide actionable recommendations for companies looking to enhance their HR strategies. The study concludes by emphasizing the need for flexible, data-driven HR policies and further empirical research to strengthen the understanding of HR’s role in organizational financial performance.

This study investigates the evolving trends in employee training and skill development in Singaporean companies from 2018 to 2023, focusing on key areas such as digital skills, leadership, innovation, and employee engagement. Using publicly available annual reports from 12 prominent companies across five industries—Finance, Technology, Healthcare, Manufacturing, and Real Estate—keyword frequency analysis and industry comparisons were conducted to identify patterns in training priorities. The results indicate a notable increase in the emphasis on digital skills and leadership development, particularly within the Finance and Technology sectors, reflecting the broader trend of digital transformation and innovation. While employee engagement showed varying trends, particularly spiking in Healthcare during the pandemic, the focus on innovation remained crucial across all sectors, especially in Manufacturing. The findings suggest that Singaporean companies are adapting their training strategies to meet industry-specific challenges and global trends. The study offers practical recommendations for businesses to prioritize digital skills and leadership training and highlights the need for targeted strategies to enhance employee engagement and innovation.

Under the "dual carbon" vision, the concept of green transportation has become a key factor to promote the sustainable development of the transportation economy, especially in the field of railway transportation. This paper explores how new green transportation technologies can drive the innovation path of safety management and sustainable economic development of railway transportation. This paper analyzes the sustainable development path of railway transportation under the concept of green transportation, identifies the challenges that may be faced in the process of realizing green railway transportation, and proposes a series of coping strategies such as strengthening the research and development and application of energy-saving and emission reduction technologies, accelerating the pace of infrastructure renovation, and improving the level of informatization and intelligence. At the same time, this paper also pays attention to the basic position of railway transportation safety management, and emphasizes the importance of railway safety to the personal and property safety of the public. Under the guidance of the "dual carbon" goal, this paper aims to provide valuable reference for policymakers, industry practitioners and the public, provide theoretical support and practical guidance for promoting the green, safe and efficient development of railway transportation, and look forward to the future development direction.

This study investigates the effects of hydrogen sulfide (H2S) molecules on the Nrf2 (nuclear factor E2-related factor 2)/HO-1 (heme oxygenase-1) pathway in a mouse model of Parkinson's disease (PD), aiming to elucidate the neuroprotective mechanism of hydrogen sulfide therapy for PD. Real-time fluorescence quantitative PCR was employed to measure the expression levels of glutathione peroxidase (GSH-Px) mRNA, superoxide dismutase (SOD), and Nrf2 in the striatum of the mice. Additionally, Western blot analysis was conducted to assess the protein expression levels of TH and the Nrf2/HO-1 pathway in the striatal tissue. The results indicated that the expression levels of CAT, GSH-Px mRNA, SOD, and Nrf2 showed significant differences between the experimental group and the control group, with notable increases in TH and Nrf2/HO-1 expression (P<0.05). In conclusion, hydrogen sulfide can upregulate the expression levels of Nrf2/HO-1 in the cerebral striatum of PD mice, contributing to its therapeutic effects.

Background: Exosomes derived from plant embryo cells have emerged as key players in mediating stress responses in plants. This study investigates the functional roles of exosomes from Arabidopsis thaliana embryo cells in enhancing plant tolerance to drought and salinity stress. Understanding these roles could lead to innovative applications in agriculture for improving crop resilience.

Methods: Exosomes were isolated from Arabidopsis thaliana embryo cells using ultracentrifugation. The characterization of exosome cargo included proteomic and lipidomic analyses to identify key molecules involved in stress responses. Plant stress tolerance was assessed through exosome treatment under controlled conditions of drought and salinity. Parameters such as relative water content (RWC), chlorophyll content, and expression levels of stress-responsive genes (DREB1A, RD29A) were measured to evaluate the effectiveness of the treatment.

Results: Exosome treatment significantly improved plant tolerance to drought and salinity, evidenced by increased RWC and chlorophyll levels compared to untreated controls. Molecular analysis revealed that exosomes contained bioactive molecules, including small RNAs and stress-related proteins, which were associated with the upregulation of stress-responsive genes. The findings suggest that exosomes enhance stress tolerance by delivering regulatory molecules that activate stress response pathways.

Conclusions: The study highlights the potential of exosomes derived from plant embryo cells to improve plant resilience against environmental stressors. The integration of exosome-based technologies in agriculture could provide a sustainable approach to enhancing crop performance under adverse conditions. Future research should focus on optimizing exosome production and assessing their efficacy in field settings to fully leverage their benefits in agricultural practices.

Big data in education has become a driving force for educational transformation and innovation, emerging as a prominent area of focus in educational technology research. In the context of big data in higher education, student performance analysis is a key issue that has garnered significant attention from researchers and institutions alike. This review provides a systematic overview of student performance analysis from the perspective of educational data mining. The process of student performance analysis is categorized into three steps: the acquisition and preprocessing of educational big data, methods for analyzing student performance, and the visualization and application of data analysis results. Various methods for student performance analysis and their applications are introduced in detail, summarizing existing research and providing insights into future research directions.

This document describes in detail the design and modeling scheme of the towering tower structure in the seventh national college students' structural design competition in Hebei Province. For the towering tower structure with horizontal vibration, this paper firstly interprets the competition problem and clarifies the design requirements and loading conditions, including three levels of loading: horizontally excited vibration, hydrostatic calm load and horizontally excited vibration of higher frequency and amplitude. Subsequently, the final model scheme was optimized and determined through material performance testing, component design and testing, structural modeling and analysis. In terms of materials, bamboo veneer and bamboo strips were used as the main materials in this paper, and their mechanical properties were tested in detail. The structure was modeled and analyzed by Midas finite element software, and the strength, stiffness and stability of the structure were comprehensively evaluated. During the modeling process, the focus was placed on the connection method of nodes, material treatment and detail construction to ensure that the model can safely carry and meet the design requirements during actual loading. After several rounds of design optimization and loading tests, the model of the towering tower structure in the form of truss structure is finally determined, and the model shows good force performance and load carrying capacity at all levels of loading conditions. The whole process of model design, fabrication and testing is recorded in detail in this paper, which provides valuable experience for the design of similar structures.

This paper aims to explore the use of "Internet+" technology to flip the traditional classroom teaching model in order to better enhance students’learning outcomes in the fields of medical microbiology and immunology. Through research and practice, it has been found that the flipped classroom approach can stimulate students’ interest in learning, enhance their ability for self-directed learning, and promote deep learning. This paper will combine specific cases with the latest research findings to propose more concrete teaching strategies and suggestions, and discuss how to effectively evaluate the application effects of the flipped classroom in the teaching of medical microbiology and immunology. The goal is to provide reference and inspiration for educational reform.

Objective To investigate the effects of wogonin on the proliferation and migration of nasopharyngeal carcinoma cells C666-1 and HK-1. Methods The inhibitory effect of wogonin on nasopharyngeal carcinoma cells C666-1 and HK-1 was determined by CCK8 assay, and IC50 was calculated. The effects of wogonin on the proliferation and independent viability of nasopharyngeal carcinoma cell C666-1 were investigated by plate colony formation test. The effects of wogonin on the migration ability of nasopharyngeal carcinoma cells were studied by scratch test and Transwell migration test. Results The results of CCK8 experiment showed that wogonin significantly inhibited the activity of C666-1 and HK-1 cells, and the inhibitory effect increased with the increase of drug concentration. Under the same drug concentration, the inhibitory effect for 48 h was higher than that for 24 h, and the inhibitory effect was dose-time dependent. The IC50 values of wogonin treated C666-1 cells were 37.15 μmol/L for 24 h and 20.75 μmol/L for 48 h. The IC50 values of HK-1 cells treated with wogonin were 29.09 μmol/L for 24 h and 20.46 μmol/L for 48 h. The results of plate colony experiment showed that after the intervention of wogonin, the number of visible colonies of nasopharyngeal carcinoma cells C666-1 was less and the volume was smaller. Scratch test and Transwell migration test showed that the migration ability of C666-1 and HK-1 cells was significantly inhibited, and the higher the drug concentration, the stronger the inhibition effect. Conclusion Wogonin can inhibit the activity, proliferation and migration of nasopharyngeal carcinoma cells.

This paper delves into strategies to elevate the global influence of China's western region's economy amidst current global economic dynamics. Recognizing the necessity for economic advancement in this region, the study initiates with an analysis of the prevailing economic development trends both globally and within China, acknowledging the smooth operation of China's economy against a backdrop of global economic recuperation challenges. Through a detailed exploration of the theoretical and practical significance, the paper underscores the criticality of this research. It reviews the existing scholarly discourse, noting a domestic focus on digital economy enhancements in the western region, contrasted with international analyses rooted in broader assessments of China's economic landscape. The document culminates in a comprehensive review, positing the study's contributions towards understanding and improving the economic stature of China's western region on the world stage.

The purpose of this study is to investigate and analyze the current situation of college students' self-efficacy in entrepreneurship, and propose improvement and enhancement strategies. The research scale is the Entrepreneurial Self Efficacy Scale. The research method involves conducting a survey on 160 participants, all of whom are students from Hebei Normal University, Hebei University of Economics and Trade, and Shijiazhuang College. SPSS 22.0 is used to conduct independent sample t-tests and ANOVA one-way analysis of variance on the data. And there is also an entrepreneurship interview in this study, involving four graduates of college entrepreneurs. The research conclusion is as follows:1, with a mean of 5.01, the score of entrepreneurial self-efficacy among college students in Shijiazhuang is at a moderate level. 2, There are significant differences in scores among college students at four different levels of total annual household income. 3, There is a significant difference in scores between college students with and without entrepreneurial experience. 4, Whether or not one works as a student cadre during their school years has no impact on their scores.

College students are in a special period of physiological and psychological development and maturity. With the increasing pressure of learning and life, parent-child conflicts often occur, and poor communication can make parent-child conflicts more serious. Painting therapy uses painting as a medium to communicate with the individual's subconscious, thereby improving emotional disorders and repairing parent-child relationships. This study takes a female college student as an example. Through painting therapy, she learns self relaxation methods, assists her in mastering mandala painting therapy for self-awareness, alleviates parent-child conflicts, improves parent-child relationships, promotes reasonable self-awareness and self-acceptance, and promotes individual mental health and development. At the same time, exploring individual interventions in parent-child conflicts can also enrich research on painting therapy.

As an emerging city with a long cultural history in Hebei Province, Hengshui is constantly deepening its efforts in promoting its urban image. This paper explores and classifies the regional culture of Hengshui, and designs a series of posters based on its long history and distinctive regional characteristics. This poster design not only expresses the cultural heritage contained within the city, but also reflects the emerging regional characteristics of modern Hengshui. It comprehensively interprets and reconstructs Hengshui education, regional famous figures, Hengshui landmark buildings, and local characteristic culture. With the help of the poster design, it showcases a constantly developing and innovative charming city, promoting the new era of Hengshui style. Let more people have a deeper understanding of today's Hengshui and make efforts to promote regional economic development and improve economic efficiency in Hengshui.

Modern enterprises all focus on cost control, operational efficiency, and optimized services. Logistics management plays a very important role in enterprise management. The warehousing and distribution logistics process is the most important component of production enterprise logistics, and the level of warehousing and distribution in production enterprises directly affects their competitiveness. This article takes the transportation and distribution management of SF Express as the research object, starting from analyzing the current situation of SF Express's distribution and warehousing of goods, to discover the problems of warehousing and distribution in modern enterprises and the solutions to these problems, in order to improve the operation mode of warehousing and distribution in modern enterprises and save costs.

In order to solve the problem of calculating the efficiency of the heliostat distribution, based on the knowledge of physics and astronomy, this paper establishes a variety of physical parameter calculation models, comprehensively considers the relevant data and constraints of the heliostat field, solves and calculates the parameters of the heliostat field, and calculates the optical efficiency and output thermal power of the heliostat according to the relevant calculation formulas. In order to optimize the design of heliostat field, the optimal results of each parameter of heliostat field are obtained through multiple iterative calculations and comparative analysis by using the simulated annealing algorithm, which realizes the optimization of the heliostat field and ensures the highly efficient performance of the heliostat field.

With the development of the economy, people's living standards continue to improve, and they have a certain amount of time to improve themselves and cultivate their interests and hobbies. Tennis is a sport and people's attention to it is constantly increasing. In this study, we analyzed tennis match data to answer various questions related to tennis. Firstly, in response to the first question, we constructed a model to capture the game process and evaluate the performance of players. By preprocessing and analyzing the data, including eliminating outliers, filling in missing values, and standardizing the data, we obtained prepared analytical data. Subsequently, using principal component analysis, three representative principal components were identified. In addition, by using the entropy weight method, we calculated the weights, enabling us to derive a momentum formula for visualizing the temporal changes during the competition process. Secondly, regarding the second question, we explored whether there is a correlation between the game results and momentum. By using the momentum model we established, we used Pearson correlation analysis to calculate the correlation coefficient, thereby determining the relationship between momentum and game results.

 In order to realize the purpose of better inspection on the outer surface of high-rise buildings, comprehensively detect the damage of the building surface, so as to find various problems, such as cracks, bulge and falling off, a UAV inspection image acquisition and processing system based on convolutional neural network is designed. The UAV uses open MV to realize the efficient processing of visible light image information, and uses an embedded system for image fusion processing. Using convolutional neural network model and multi-object detection algorithm, extract the feature value of broken position and combine multiple sensors for 3 D position transformation. Data reads and 3 D coordinate map presentation were performed using the app software. For the safety problem of ceramic tiles, a marking device is installed on the UAV. Calculate the threat range and use the application to send location information to maintenance personnel and alert information to residents, and provide real-time location safety monitoring. The experimental results show that the designed uav can realize comprehensive, automatic, intelligent, efficient and preventive inspection of the building health status and problems of buildings through inspection, data collection and processing, intelligent analysis and early warning.

In this study, we analyzed tennis match data to answer various questions related to tennis. Firstly, we constructed a model to capture the process of the game and evaluate the performance of players. By preprocessing and analyzing the data, including eliminating outliers, filling in missing values, and standardizing the data, we obtained prepared analytical data. Subsequently, using principal component analysis, three representative principal components were identified. In addition, by using the entropy weight method, we calculated the weights, enabling us to derive a momentum formula for visualizing the temporal changes during the competition process. Secondly, we explored whether there is a correlation between match results and momentum. By using the momentum model we established, we used Pearson correlation analysis to calculate the correlation coefficient, thereby determining the relationship between momentum and game results.

This article proposes a system for automatic calibration of general-purpose digital oscilloscopes using MATLAB software. The computer system is connected to the oscilloscope calibrator 9500B through a GPIB interface card, and the digital oscilloscope interface is connected through a USB cable. The control program is written using SCPI instructions, and ten functions are measured and verified item by item. After the test is completed, the test data is output to complete the automatic verification process. This system is optimized to address the limitations of existing oscilloscope calibration systems on the market, which helps to improve the efficiency and accuracy of oscilloscope calibration.

With the national college students as the research objective, the current college students’ self-cognition is not enough, and they can not find the right job to investigate, on this basis with MBTI as a supplementary tool to investigate and research, through the questionnaire test, investigated 1015 college students from different regions, for different personality categories to investigate different types of work. In this way, the special influence of MBTI on college students' self-cognition and career planning can be obtained.