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    Research and Analysis on the Global Commercial Remote Sensing Satellite Market

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    The global commercial remote sensing satellite market is experiencing an unprecedented "golden age" of growth, primarily driven by technological innovation, the explosive expansion of data applications, and increasingly close cooperation between public and private sectors. This paper provides an in-depth analysis of two core technologies—high-resolution optical satellites and radar satellites (SAR)—aiming to offer a comprehensive market overview for strategic decision-makers. The user base has expanded from government and defense sectors to a broader range of commercial fields. Leveraging their unique advantages, satellite imagery is carving out new spaces and playing an irreplaceable role across civil, commercial, and military customer segments and applications

    A Critique of Phillipson’s Theory of Linguistic Imperialism

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    This study examines the imperial status of English via a critique of Phillipson’s Theory of Linguistic Imperialism. The communicative potency of the English language on the international stage resonates with its label as an ‘imperial language’. English is used in discrete communication situations in different regions of the world. Some of the functions of the language in such regions are assigned to it through legislation, because of the expanse of the referential/representational function of the language. For example, in former British colonies, the English language adequately fills up the vocabulary inadequacies of indigenous languages. This is crucial in contemporary times given the fact that individuals and nations try to cope with the communication constraints of globalization. In this regard, multiculturalism and intercultural communication tendencies are promoted, encouraged and demonstrated. This study is anchored by two theoretical frameworks: Afolayan (1995:1988); and the Wider and Narrower Perspectives of World Englishes. The study concludes that from different viewpoints, English is an imperial language: English nations dominate in different domains of world affairs, English is lingua franca in some countries, English is a language of wider communication; and English is used for documentation and publications across disciplines

    Sociological Factors Influencing Education: A Canadian Perspective

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    The purpose of this study is to answer the question: What are the sociological factors that have influenced the Canadian education system? With document analysis as the adopted research methodology, after a careful review of a significant amount of relevant literature on the education system’s history, structure, governance, and learning outcomes of different student groups, it is concluded that there are inequities in the Canadian education system with regard to race, gender, class, and religion. Indigenous students and Black students have especially been consistently disadvantaged over the years in the education system, lagging behind other student groups in terms of graduation rates and learning outcomes, which have enormous consequences for their lives after they leave school and transition to postsecondary education and eventually enter the labour force. To move forward, Canadian policy makers, education administrators, and teachers need to work together to make the education system inclusive, serving the interest of all students.

    Modeling Spatial Distribution of Humidity and Near-surface Soil Temperature in Common Greenhouses

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    To overcome the limited adaptability of current greenhouse environmental models, this study develops targeted models for predicting the spatial distribution of near-surface soil temperature and air humidity. The soil temperature model utilizes a one-dimensional unsteady-state heat transfer approach that accounts for solar radiation, convection, thermal radiation, and evaporation. Concurrently, the air humidity model applies water vapor mass conservation to integrate the effects of soil evaporation, ventilation, and humidification.Experimental validation showed that the soil temperature model effectively captured diurnal variations at different soil depths. The relative root mean square error (rRMSE) was 5% at 0.25 m depth, demonstrating high accuracy, whereas predictions at the more dynamic surface layer (0.05 m) showed a higher error of 10%. The air humidity model produced trends consistent with measured data, albeit with a general underestimation, yielding a mean bias error (MBE) of 4.027 and an RMSE of 8.09%.The proposed models exhibit strong adaptability for simulating humidity and near-surface soil temperature distributions in common greenhouses. This work provides valuable insights and a practical methodological framework for advancing precise environmental control and promoting the development of standardized models in facility agriculture

    Can Regulating Major Shareholders’ Share Reductions Effectively Suppress Stock Price Volatility?—An Empirical Study Based on the 2023 New Share Reduction Rules

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    In order to regulate the reduction of holdings by major shareholders and ensure the sound operation of the capital market, the China Securities Regulatory Commission (CSRC) issued the document Further Regulation of Share Reduction Behavior by the CSRC on August 27, 2023. This paper focuses on this new reduction regulation and employs a fixed-effects model to empirically examine its impact on stock price volatility in the overall A-share market, as well as in the Shanghai and Shenzhen stock exchanges, during the period from January 4, 2023, to December 31, 2024. The empirical results show that: (1) The new reduction regulation has a mitigating effect on stock price volatility in both the overall market and the Shanghai and Shenzhen stock exchanges. (2) The inhibitory effect of the new reduction regulation on stock price volatility is more pronounced in companies with higher ownership concentration

    Exploration of the Application of Orff Music Teaching Method in Preschool Music Teaching in Higher Vocational Colleges

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    As one of the three influential music education systems in the world, Orff music teaching method takes "originality" as the core, emphasizes the integration of music with action, language and drama, and pays attention to students' active participation and creative expression, which is highly compatible with the talent training objectives of preschool education in higher vocational colleges.The preschool education program serves as a vital discipline for training frontline early childhood educators, where the quality of music instruction directly shapes future teachers' musical literacy and practical teaching skills. This study examines the application value, implementation pathways, and optimization strategies of the Orff music teaching method in this program, considering the unique characteristics of music education and student demographics in vocational colleges. By analyzing existing challenges in teaching practices and proposing targeted solutions, the research aims to enhance music education quality and cultivate practical, industry-ready professionals for early childhood education

    Research on the Teaching Reform Path of Professional Basic Courses in Private Universities from the Perspective of AI Empowerment

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    To address the existing problems in the teaching of Engineering Drawing in private universities, and to promote the digital transformation of education and the cultivation of application-oriented talents, this paper conducts a study on the AI-empowered teaching reform of this course. Firstly, it analyzes the current teaching situation, identifies the core problems in four aspects: students’ learning needs, teaching content and methods, faculty and resources, and assessment and competency cultivation, and explores the demand for AI empowerment at both the teacher-student and course levels. Furthermore, it puts forward four major reform objectives: improving teaching quality and efficiency, realizing personalized and precise teaching, innovating teaching models and evaluation systems, and strengthening the cultivation of students’ abilities and comprehensive qualities. On this basis, a “five-in-one” AI-empowered reform path is constructed, including the optimization of teaching content, the innovation of teaching methods, the integration of teaching resources, the reform of assessment and evaluation, and the construction of a teaching support system. The research on AI-empowered teaching reform of Engineering Drawing can provide practical experience for improving teaching quality and enhancing the adaptability of application-oriented talent training

    The Glucose-to-leukocyte Ratio (GLR) is a Predictor for Malignant and All-cause Mortality in Malignancy Patients: Evidence from NHANES 1999-2018

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    Background: The glucose-to-leukocyte ratio (GLR), a marker of glucose metabolism and systemic inflammation, is linked to poor prognoses in various diseases. However, the association between GLR and mortality in cancer patients remains unclear. This study aim to investigate the relationship between GLR index and all-cause and malignant mortality in cancer patients.Methods: A total of 2,186 cancer patients (except for hematological neoplasms) were enrolled from the National Health and Nutrition Examination Survey (1999-2018). Mortality outcomes were assessed by linking to National Death Index (NDI) records until December 31, 2019. Kaplan-Meier analysis, LogRank tests, and weighted multivariate logistic regression were conducted to examine the association between GLR and mortality in these patients. Additionally, restricted cubic splines (RCS) were used to explore non-linear relationships, and a two-piecewise Cox proportional hazards model was constructed around the inflection points.Results: Restricted cubic splines revealed a U-shaped relationship between the GLR index and both all-cause and malignant mortality in cancer patients. Kaplan-Meier survival analysis indicated that patients with low GLR had significantly better overall survival than those with high GLR (P < 0.05). Specifically, a baseline GLR index below threshold values (GLR < 2.95 for all-cause and < 2.97 for malignant mortality) was associated with reduced mortality (HR: 0.72, 95% CI: 0.52–0.99 for all-cause; HR: 0.40, 95% CI: 0.24–0.67 for malignant). Conversely, a baseline GLR index above the thresholds (GLR ≥ 2.95 for all-cause and ≥ 2.97 for malignant) correlated with increased risk (HR: 1.06, 95% CI: 1.03–1.09 for all-cause; HR: 1.08, 95% CI: 1.02–1.14 for malignant).Conclusion: A U-shaped association was found between the baseline GLR index and both malignant and all-cause mortality in American cancer patients, with both excessively high and low levels potentially leading to negative health outcomes

    Internet of Things and Smart Thinking: Design and Implementation of an Intelligent Lighting Control System Based on Arduino and Android

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    With the popularization of computer technology and the rapid development of internet technology, social life is gradually moving towards intelligence. Concepts that were once theoretical, such as facial recognition payment and smartphones, have become reality, greatly facilitating people's daily lives. In this context, Internet of Things (IoT) technology, as an important component of the new generation of information technology, is promoting the vision of "connectivity of everything" and making our lives more intelligent. Smart home is a typical application scenario of IoT technology. By networking and automatically managing household devices, it significantly enhances living comfort and convenience. However, a complete smart home system is currently costly for ordinary consumers, making widespread adoption difficult. Therefore, this paper focuses on a core subsystem of smart home systems—the intelligent lighting control system—and designs a low-cost solution based on the Arduino and Android platforms. This system allows users to remotely control the on/off status and brightness of home lights through a mobile application, while also featuring a smart night light function that provides temporary illumination for users at night. This paper elaborates on the system's requirements analysis, feasibility study, system design, and implementation process, and tests the system functions. The results show that the system has basically achieved the expected functions and has certain practical value and promotion significance

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