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关键词： GB/T 30127   远红外纺织品   远红外发射率   测试要点  

摘要： 近年来,远红外纺织品因具有保温保健功能备受市场青睐,但消费者难以鉴别远红外纺织品。为避免假冒伪劣产品扰乱市场,保障大众消费权益,科学地测试评价远红外纺织品变得尤为重要。通过综合分析与验证认为,GB/T 30127—2013中纺织品远红外发射率测试方法是目前国内科学且适用于测试和评价纺织品远红外性能的方法,但该方法也存在一些不够细致或完善的地方。基于此,研究针对纺织品远红外发射率测试方法中的多个测试要点进行综合分析、操作细化和验证,提出多项测试技巧与实操经验,研究成果可为相关生产、检测及监管单位或部门更科学、准确地评价远红外纺织品提供参考依据。

关键词： C-reactive protein   cardiometabolic   heart failure   HFmrEF   HFpEF   HFrEF   inflammation   kidney   obesity   AF   atrial fibrillation   BMI   body mass index   CAD   coronary artery disease   CKD   chronic kidney disease   COPD   chronic obstructive pulmonary disease   eGFR   estimated glomerular filtration rate   HF   heart failure   HFmrEF   heart failure with mildly reduced ejection fraction   HFpEF   heart failure with preserved ejection fraction   HFrEF   heart failure with reduced ejection fraction   hsCRP   high-sensitivity C-reactive protein   UACR   urine albumin-to-creatinine ratio  

摘要： Systemic inflammation contributes to the pathophysiology of heart failure (HF). Inflammation in heart failure with mildly reduced ejection fraction (HFmrEF) or heart failure with preserved ejection fraction (HFpEF) has been linked to cardiovascular-kidney-metabolic conditions, whereas inflammation in heart failure and reduced ejection fraction (HFrEF) is thought to develop secondary to cardiac stress and circulatory derangements.

关键词： 温差电驱动车   凸轮   MATLAB   新能源  

摘要： 以中国大学生工程实践与创新能力大赛新能源赛道温差电驱动车为题,设计了包含传动机构、转向机构、原动机构和车体的小车,小车设计过程主要涉及传动比、后轮直径、转向机构以及凸轮形状尺寸等的确定,凸轮的确定基于MATLAB软件实现。经验证,小车初赛可以完成全程10个坐标点的识别,具备较好的运行效果。

关键词： 机织物设计加工综合实验   实验教学   课程思政  

摘要： “机织物设计加工综合实验”是高等院校纺织类本科生的核心专业实践实验课程之一,对学生培养具有不可或缺的作用。基于新质生产力的要求以及对复合型人才的需求导向,该课程将家国情怀、工匠精神等理念融入各个教学环节。采用案例导入、项目驱动与校企协同的教学模式,依托专业技能与价值素养对思政教学体系的构建进行探索,能有效提升学生的专业实践能力与思政素养,增强学生适应纺织产业高质量发展的能力。

关键词： cancer   cardio-oncology   cancer survivors   mortality   omega-3 supplement   BMI   body mass index   CAD   coronary artery disease   CRP   C-reactive protein   CVD   cardiovascular disease   HDL-C   high-density lipoprotein cholesterol   LDL-C   low-density lipoprotein cholesterol   TC   total cholesterol   TG   triglycerides  

摘要： Cancer and cardiovascular disease are closely linked, contributing to high mortality rates and significant disease burden. Inflammation serves as a common risk factor for both conditions, yet there is a lack of data on systemic inflammation and its impact on cardiovascular mortality in cancer survivors.

关键词： cardiovascular health   Life’s essential 8   cardiovascular disease   mortality   AHA   American Heart Association   APPA   average posterior probability of assignment   BIC   Bayesian Information Criterion   BMI   body mass index   CAD   coronary artery disease   CVH   cardiovascular health   CVD   cardiovascular disease   FHS   Framingham Heart Study   LE8   Life’s Essential 8   OCC   odds of correct classification   PRS   polygenic risk score   SNP   single nucleotide polymorphisms  

摘要： Maintaining cardiovascular health (CVH) is essential for preventing cardiovascular disease (CVD).

关键词： 劳动教育   机械制图   CAD技术   工匠精神  

摘要： 为破解《机械制图与CAD技术基础》课程传统教学中技能学习与素养培养脱节、评价单一等局面。本文立足数控专业教学需求,探索工匠精神引领下劳动育人模式,将工匠精神融入课堂教学、实训评价与环境营造,构建“劳动清单+项目驱动+生产性实训”的教育模式,分阶段培养学生素养。实践表明,该模式有效提升学生的职业素养,推动课程教学从“授人以技”向“育人以心”转变,为数控专业开展劳动教育提供了可行方案。

关键词： 抗起球整理   整理剂   水性聚氨酯   羊绒针织物  

摘要： 纳米碳酸钙(NPCC)改性WPU,可以有效提升羊绒的抗起毛起球性能。利用表面改性技术制备了与聚氨酯基体相容性良好的功能性纳米碳酸钙(NPCC/WPU_(1000)),通过乳液聚合得到了NPCC/WPU_(1000)和WPU的复合乳液(WPU-NPCC),用于羊绒针织物整理,讨论了整理剂用量和整理工艺对羊绒针织物抗起毛起球性能的影响。当NPCC/WPU_(1000)质量分数为1%、WPU-NPCC质量分数为6%,整理温度为50℃,整理时间95min时,整理羊绒针织物的抗起毛起球等级可达4.0级、毡缩率低于4%,且白度与手感优异。

关键词： Acoustic emission   Coral concrete   Machine learning   Mechanical properties   Uniaxial loading  

摘要： This study targets stress-stage identification during the uniaxial compression of coral concrete, and proposes an intelligent diagnostic framework based on multi-parameter acoustic-emission (AE) time series. Uniaxial compression tests were conducted on specimens of different sizes under different strain rates. By integrating failure patterns, stress–strain responses, and key mechanical indices—including peak stress, peak strain, elastic modulus, ductility-related parameters, and energy dissipation metrics—the coupled effects of specimen size and strain rate were quantitatively characterized. Multi-parameter AE signals were synchronously acquired to establish a data-driven mapping between stress stages and AE representations over the entire loading history. A DenseNet–CAM–BiLSTM hybrid model was developed for automated stress-stage recognition, by integrating complementary AE descriptors and their nonlinear temporal interactions, this hybrid architecture enhances the robustness of stage discrimination and cross-size transferability. Bayesian optimization was employed for hyperparameter tuning to improve classification performance and cross-size generalization. The results demonstrate that the proposed framework achieves strong stress-stage recognition performance and exhibits good transferability in independent validation across different specimen sizes. Overall, this study provides an experimentally grounded AE–deep-learning workflow for stress-stage tracking and early warning of coral-concrete components, offering methodological support for structural health monitoring and service-safety assessment in marine engineering.