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关键词： 数字教材   高职教育   教学应用   改进措施  

摘要： 以高职“建筑识图与CAD制图”课程为例,通过三年的数字教材应用试验,从教材、教师、学生三个方面系统探讨了数字教材在教学应用过程中存在的不足,并针对上述问题,提出丰富和拓展数字教材资源类型与功能、提升教师的数字素养和信息技术应用能力、提高学生的数字素养和自主学习习惯、促进社会资源的整合与共享等措施,以提高数字教材的实际应用成效。

摘要： Achieving consistency between implant orientation and the insertion path of removable partial dentures (RPDs) remains challenging. Divergence between these parameters may accelerate attachment wear, compromise prosthesis stability, and lead to biomechanical complications in implant-supported RPDs (ISRPDs).

关键词： 专利申请   人工智能   纺织品   检测  

摘要： 随着人工智能技术的持续迭代升级,其在纺织检测领域的应用呈现出发展态势。人工智能通过深度学习、机器视觉、大数据分析等技术手段,推动纺织检测向自动化、智能化、高效化、无损化的方向转型升级。立足于专利视角,系统性地探讨了人工智能技术在纺织检测领域中的专利申请趋势与现状,分析相关专利的技术特点与创新优势,客观评价当前发展过程中面临的技术瓶颈与行业挑战,给出合理化建议。通过专利数据的挖掘与分析,为纺织检测领域的技术升级和协同创新提供参考依据。

关键词： 纺织品   拉伸断裂强力   检测影响因素   质量控制  

摘要： 本文围绕纺织品拉伸断裂强力检测全流程,从试样制备、仪器与环境管控、操作与数据处理三个核心维度,系统分析各环节对检测结果的影响机制,结合实验室实操与现行标准规范,梳理关键控制要点,为提升检测结果的准确性与复现性提供技术参考。

关键词： Knee cartilage degeneration   Artificial intelligence (AI)   Deep learning   Capsule Network (CapsNet)   Segmentation   Grad-CAM  

摘要： Knee cartilage degeneration is a major contributor to mobility disability, and affects millions of individuals worldwide. For effective intervention, early accurate detection of the condition is essential. Conventional approaches often lack sufficient sensitivity, whereas recent artificial intelligence (AI) techniques have demonstrated improved diagnostic accuracy.

关键词： complex PCI   mechanical circulatory support   percutaneous coronary intervention   sex-specific outcomes   women’s health   ACS   acute coronary syndrome   CAD   coronary artery disease   IABP   intra-aortic balloon pump   MACE   major adverse cardiovascular events   MCS   mechanical circulatory support   MI   myocardial infarction   PCI   percutaneous coronary intervention  

摘要： Sex-based disparities persist in the management of patients with coronary artery disease undergoing complex percutaneous coronary intervention (PCI).

关键词： Rotator cuff tear   Diagnosis   Magnetic resonance imaging (MRI)   Convolutional neural network (CNN)   Gradient-weighted class activation mapping (Grad-CAM)  

摘要： Accurate diagnosis of rotator cuff tears from magnetic resonance imaging (MRI) is essential for effective clinical management and treatment planning. In this study, we propose a novel convolutional neural network (CNN) architecture specifically designed for classifying rotator cuff tears, integrated with gradient-weighted class activation mapping (Grad-CAM) to provide interpretable insights into the model's decision-making process. We utilized MRI data from 150 subjects, equally divided between normal and pathological cases, and applied data augmentation techniques, including rotation, scaling, and reflection, to enhance model generalization. The proposed CNN demonstrated superior performance, achieving an average accuracy of 94.5 %, sensitivity of 94.6 %, precision of 94.1 %, and specificity of 93.4 %, outperforming established lightweight models such as MobileNetV2 and SqueezeNet. Grad-CAM visualizations confirmed that the model accurately focused on anatomically relevant regions associated with tendon ruptures, thereby enhancing trust in its predictions. These results underscore the potential of our interpretable deep learning framework to deliver reliable, transparent, and clinically actionable diagnostic support for shoulder injuries, paving the way for improved decision-making in orthopedic care. This approach highlights the synergy of advanced CNN design and explainable AI for robust medical imaging applications.

关键词： 纺织品检测   质量控制   评价方法   联合控制   甲醛检测  

摘要： 文章系统梳理纺织品检测实验室常用的质量控制评价方法,包括内部质量控制中的空白试验法、平行样分析法、加标回收法、控制图法以及外部质量控制中的能力验证法、实验室间比对法,同时深入分析各方法的原理、适用范围、优缺点,并通过多维度对比明确不同方法的应用场景差异,基于单一方法的不足,设计一套联合质量控制评价方法。以纺织品中甲醛质量分数检测为例,研究成果可为纺织品检测实验室优化质量控制体系、提升检测能力提供技术支撑。

关键词： 凸轮提升装置   六极九槽双层绕组电机   电磁仿真   优化设计   超声波洗瓶机  

摘要： 针对超声波洗瓶机凸轮装置振动大、效率低问题,研究提出三级协同优化方案:重构六极九槽电机提升磁场利用率,优化自适应电磁场模型改善磁路特性,集成混合磁悬浮机构实现主动控制。实验结果表明,优化电机在3 000 r/min转速下输出扭矩10.4 N·m,效率93.2%,转矩脉动2.6%,气隙磁密波动率4.3%,温升48℃。对比实验显示,六极九槽结构的空载谐波畸变率2.8%较传统结构降低50%以上,不同负载下效率保持领先3%以上。该方案为制药装备驱动系统提供了高可靠性技术路径。

关键词： β-TCP scaffold   Ordered pore structure   Replica method   Diamond lattice   X-ray CT  

摘要： Ordered porous β-tricalcium phosphate (β-TCP) ceramics were fabricated by a replica method using polymer templates each having a diamond lattice, designed with a three-dimensional computer-aided design system. A β-TCP slurry was spray-coated onto these templates and subsequently sintered under optimal conditions determined on the basis of thermogravimetry–differential thermal analysis data. This process allowed accurate transfer of the lattice architecture despite a shrinkage of approximately 65 %. Systematic variations of the lattice geometry and coating amount enabled tuning of the porosity, pore size and strut diameter of the ceramic, and compressive testing confirmed the effects of these parameters on the mechanical strength. Structures with interconnected pores having sizes of several hundred micrometers that were well-suited to bone tissue engineering were obtained. X-ray diffraction assessments showed the partial transformation of the β-TCP to an apatite-structured phase during firing while X-ray computed tomography established that prolonged sintering produced hollow struts that provided additional internal space. The replica method combined with specially designed templates was found to be an effective approach to the integrated design of pore architectures that provided suitable mechanical properties and internal space in ordered porous β-TCP scaffolds.