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    Research on the Integration Education of AI Empowerment and Course-based Ideological and Political Education

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    In the current higher education system, the organic integration of courses and ideological and political education still faces several key bottlenecks that need to be urgently broken through. From the perspective of teaching practice, the primary problem lies in the fact that traditional teaching overly focuses on imparting professional knowledge and skills training, without systematically internalizing ideological and political elements such as socialist core values and patriotism as the core of teaching, resulting in a structural imbalance between knowledge transmission and value guidance. On the other hand, the existing ideological and political education models generally suffer from rigid forms, and one-way theoretical preaching fails to mobilize college students’ cognitive participation. This lack of contextualized and immersive experiences severely restricts the effectiveness of ideological and political education. In response to these predicaments, it is suggested to implement a dual-track reform path: the teaching material system needs to be restructured, embedding ideological and political education touchpoints in teaching modules; intelligent educational technology means should be actively utilized to develop digital teaching tools such as VR scenario simulation and AI interactive Q&A, transforming abstract ideological and political theories into perceivable and interactive learning experiences, thereby comprehensively enhancing the affinity and pertinence of ideological and political education

    Assessing Teacher Strategies in Responding to Student Mental Health Behaviors

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    This study assessed the strategies employed by teachers in responding to student mental health behaviors at Curuan National High School. Using a quantitative descriptive-correlational design, the research examined the frequency, types, and severity of student mental health behaviors; the strategies used by teachers; their perceived effectiveness; and the challenges encountered. A validated questionnaire was administered to 70 teachers. Weighted mean and regression analysis were applied.Results show that students frequently display restlessness, inattention, excessive worry, and emotional instability, significantly affecting academic performance and classroom engagement. Teachers most often implement classroom management techniques, supportive communication, and individualized interventions. However, challenges include insufficient training, lack of resources, and limited administrative support. Regression findings reveal a significant positive relationship between teacher strategies and perceived effectiveness (B=0.756; p=0.000; R²=0.624). The study concludes that systematic and evidence-based teacher strategies are essential for supporting student mental health and that schools must strengthen resources and teacher training

    Research on the Innovative Teaching Model of Municipal Engineering Measurement and Pricing in the Context of Digitalization

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    In the current field of architectural education, the digital revolution is profoundly reshaping the professional talent training model, especially exerting a revolutionary impact on technical-intensive courses such as construction project measurement and pricing. This article systematically analyzes the feasible paths for the deep integration of modern information technology and traditional construction cost teaching, focusing on explaining how the new teaching paradigm based on emerging technologies like building information modeling and cloud computing can effectively enhance the quality of professional talent training. It also reveals the innovative application scenarios and significant achievements of digital tools in teaching aspects such as engineering quantity calculation and cost analysis. Additionally, the article proposes a series of practical optimization solutions from dimensions such as improving course objectives and content development, updating teaching resources, and improving teaching assessment and feedback, aiming to provide theoretical support and practical references for promoting the digital transformation of teaching in municipal project measurement and pricing

    Bibliometric Analysis of Neonatal Pain Research over the Past 20 Years Based on CiteSpace

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    Objective: This study aims to explore the development status, research hotspots, and frontiers in the field of neonatal pain research in China over the past two decades. Methods: Literature on neonatal pain research, published from October 2001 to October 2021 in the China National Knowledge Infrastructure (CNKI) database, was selected for analysis. CiteSpace and Excel software were used to analyze annual publication volumes, journal, keywords, and research hotspots, and to generate visual maps. Results: A total of 677 articles were included. The overall annual publication volume showed an increasing trend, the journals publishing literature are mainly nursing journals. The main research hotspots included the assessment and management of procedural pain in neonates (such as intravenous puncture and heel prick), with non-nutritive sucking, touch therapy, and kangaroo care being key interventions. The current frontier of research is focused on pain response assessment in neonatal intensive care units (NICUs), along with pain management measures such as music therapy and kangaroo care. Conclusion: Neonatal pain research in China has reached a mature stage. However, further attention should be given to neonatal pain, and efforts should be made to enhance training for healthcare professionals, as well as to innovate neonatal pain management theories and technologies to promote the development of neonatal pain research

    Reflections on the Scientific Nature and Modernisation of Traditional Chinese Medicine from the Perspective of Systems Science

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    Due to differences in scientific and cultural backgrounds, the theoretical system of Traditional Chinese Medicine did not pass the test of the "principle of sensory priority" prevalent during the era of classical physics. Consequently, it was not organically integrated into the modern scientific system founded upon the basis of classical physics. For an extended period, its scientific validity has been widely questioned. However, modern scientific research has indeed abandoned the absolute status of this principle. An appropriate black-box nature is more aligned with the developmental direction of cutting-edge disciplines such as systems science. The commensurability between systems science and Traditional Chinese Medicine can provide robust support for the scientific validity of TCM theory and offer insights for its modernisation.

    Discussion on the Benefits of Postoperative Adjuvant Therapy for Stage II MSI-H Colorectal Cancer

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    Background: There is no consensus among mainstream guidelines worldwide regarding adjuvant therapy for colorectal cancer patients with stage II microsatellite instability (MSI-H)/mismatch repair deficiency (dMMR) after surgery. This study aims to further explore the benefits of postoperative adjuvant chemotherapy for this group of patients through a retrospective study and assist in guiding clinical decision-making for this group of patients.Methods: Finally a total of 140 patients with colorectal cancer who underwent radical surgery at the First Affiliated Hospital of Chongqing Medical University from January 2018 to December 2022, with postoperative pathological stage II (T3-T4N0M0) and molecular test results of MSI-H were retrospectively collected. Disease-free survival (DFS) and overall survival (OS) were recorded through outpatient and telephone follow-ups. The Kaplan-Meier method was used to calculate DFS and OS, and the logrank method was used for significance testing; Univariate and the multivariate Cox proportional hazards model were used to analyze prognostic factors.Results: There were differences in age groups between the chemotherapy group and the non-chemotherapy group (adjuvant therapy acceptance rate in patients under 65 years old: 68.2% vs 25.0%, P 0.05). Median survival was 49.2 months (3.3-89.1 months), and 3-year DFS and OS were 90.0% and 93.6%, respectively; The DFS (p=0.011) and OS (p=0.022) in the postoperative chemotherapy group were significantly prolonged. Univariate Cox regression analysis showed that the high-risk features including age > 65 years, no adjuvant chemotherapy, lymph node dissection < 12 were associated with poorer prognostic.Conclusion: Postoperative adjuvant chemotherapy based on oxaliplatin in patients with stage II MSI-H colorectal cancer prolongs DFS and OS

    Integrated Green Construction Technology System and Performance Evaluation for Urban Building Engineering toward Carbon Neutrality

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    Driven by the national carbon neutrality strategy, the transformation of construction practices toward green development has accelerated; however, the current application of green construction technologies remains fragmented, weakly integrated, and insufficiently quantified in terms of environmental performance. This study constructs an integrated green construction technology system that combines low-energy-consumption material substitution, reusable formwork systems, dynamic carbon-emission monitoring during construction, construction waste recycling, and prefabricated building methods. A performance evaluation index is established through a life-cycle assessment (LCA) framework and carbon-emission accounting model. The results indicate that the proposed system significantly reduces energy consumption, carbon emissions, and material waste throughout the construction phase. The research provides theoretical support and engineering guidance for advancing green construction from policy orientation to systematic technological integration and evidence-based evaluation

    Phenotype-specific Drought Strategies in the Invasive Weed Avena fatua

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    Wild oat (Avena fatua L.) is a widespread invasive weed whose performance is strongly influenced by water availability. We compared two lemma-based phenotypes-W (hairy lemma) and B (glabrous lemma)-under four soil-water levels (80-85, 60-70, 50-60, 40-50% field capacity) in a completely randomized pot experiment. We determined organ dry masses and calculated allocation indices (root-to-shoot ratio, R/S; root and leaf mass fractions, RMF and LMF), leaf traits (total leaf area, leaf number, LAR), and growth metrics (RGR, NAR). Drought reduced aboveground biomass in both phenotypes. The W phenotype showed a prioritized allocation to roots under moderate stress, reflected by its R/S peaking at 0.508, while its LAR decreased by 40% under light stress. In contrast, the B phenotype exhibited a more dramatic fluctuation in leaf resource allocation, with its Leaf Mass Fraction (LMF) increasing by nearly 70% under light stress before plummeting under heavier stress. Growth analysis indicated that the Net Assimilation Rate (NAR) of W was relatively stable under light stress, whereas B's NAR dropped sharply by 47%. These results show divergent but predictable allocation and growth adjustments to water limitation and provide a basis for phenotype-aware management of wild oat

    Intelligent Monitoring of Individual Nest-building Behavior in Group-raised Geese

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    Breeding geese often exhibit frequent nest-building behaviors under group rearing conditions, which significantly reduces egg-laying efficiency. However, it remains challenging to accurately identify the occurrence and duration of individual nest-building in such environments. To address this, this study integrates wearable activity monitoring sensors with RFID identification technology to develop a nest-building behavior characterization system based on activity rhythms and posture features. Building on this foundation, we propose an Integrated Feature Engineering-Driven Stacking Recognition Model (IFESM-GND) that enhances nest-building behavior recognition accuracy by leveraging interpretable feature engineering. Experimental results demonstrate a 93.5% detection accuracy, representing a 15%-21% improvement over traditional methods. The application value of nest-building behavior monitoring in early egg-laying anomaly detection and breeding management decision-making is validated. This precise monitoring method for individual nest-building behaviors in breeding geese provides crucial technical support for optimizing reproductive performance, improving egg-laying efficiency, and achieving precision management. The research holds significant theoretical and practical implications for advancing the intelligent and modernization of China's goose industry

    Reconstruction and Practice of Civil Engineering Materials Experiment Course under the Background of New Engineering: Integration of Virtual-Physical Fusion and Industry-Education Collaboration

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    Under the background of new engineering education, which focuses on the talent cultivation goals of “innovation ability, engineering literacy, and interdisciplinary integration”, the traditional civil engineering materials experiment course is faced with the dual dilemmas of “disconnection between virtual and physical aspects, and separation between teaching and industry”. It is difficult to meet the needs of the modern civil engineering industry for high-quality technical talents. This paper proposes a curriculum reform framework of “virtual-physical fusion + industry-education collaboration”. By constructing a three-stage experimental teaching process of “virtual simulation preview - physical experiment verification - industrial project practice”, and integrating the tripartite resources of “colleges and universities - enterprises - scientific research institutions”, the curriculum reconstruction is realized from four dimensions: teaching content, teaching mode, assessment system, and platform construction. Taking Qingdao City University as an example, this course is a professional basic course. It mainly covers the basic composition, technical performance, quality requirements, and inspection methods of common civil engineering materials. The course focuses on the properties, preparation, application methods, uses, and testing methods of civil engineering materials. Through learning, students can be familiar with the properties of common civil engineering materials, know how to select common civil engineering materials, and understand certain knowledge of storage and preservation; they can reasonably select and correctly use materials according to different engineering conditions, establish a good engineering awareness, and have the basic ability to analyze engineering quality problems caused by materials and put forward corresponding improvement measures, as well as the skills to conduct performance testing and quality evaluation of common civil engineering materials in engineering; students should have basic professional literacy and a good sense of work discipline, a scientific attitude of being serious and careful in work, a certain ability of teamwork, and be able to reasonably divide work according to work tasks, help each other, and complete tasks collaboratively. This reform plan provides a replicable and promotable practical path for the quality improvement and upgrading of the civil engineering materials experiment course under the background of new engineering

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