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Role of inflammatory lipid and fatty acid metabolic abnormalities induced by plastic additives exposure in childhood asthma

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Journal of Environmental Sciences 2024年第3期137卷 172-180页

作者： Zhiyu Chen Fang li lei Fu Yu Xia Ying luo ang Guo Xiaona Zhu Huifang Zhong Qian luo Institute of Biomedical and Health Engineering Shenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen 518055China University of Chinese Academy of Sciences Beijing 100049China Rheumatology&Immunology Department of Shenzhen Children’s Hospital Shenzhen 518038China Hubei Key laboratory of Environmental and Health Effects of Persistent Toxic Substances Institute of Environment and HealthJianghan UniversityWuhan 430056China

lipid metabolism play an essential role in occurrence and development of asthma,and it can be disturbed by phthalate esters(PAEs)and organophosphate fame retardants(OPFRs).As a chronic infammatory respiratory disease,the occurrence risk of childhood asthma is increased by PAEs and OPFRs exposure,but it remains not entirely clear how PAEs and OPFRs contribute the onset and progress of the *** have profiled the serum levels of PAEs and OPFRs congeners by liquid chromatography coupled with mass spectrometry,and its relationships with the dysregulation of lipid metabolism in asthmatic,bronchitic(acute infammation)and healthy(non-infammation)*** PAEs and nine OPFRs congeners were found in the serum of children(1–5 years old)from Shenzhen,and their total median levels were 615.16 ng/m l and 17.06 ng/m l,***,the serum levels of mono-methyl phthalate(MMP),tri-propyl phosphate(TPP)and tri-n-butyl phosphate(TNBP)were significant higher in asthmatic children than in healthy and bronchitic children as ***-one characteristic lipids and fatty acids of asthma were screened by machine-learning random forest model based on serum lipidome data,and the alterations of infammatory characteristic lipids and fatty acids including palmitic acids,12,13-Di HODE,14,21-Di HDHA,prostaglandin D2 and lyso PA(18:2)showed significant correlated with high serum levels of MMP,TPP and *** results imply PAEs and OPFRs promote the occurrence of childhood asthma via disrupting infammatory lipid and fatty acid metabolism,and provide a novel sight for better understanding the effects of plastic additives on childhood asthma.

关键词： Phthalate esters Organophosphate fame retardants Childhood asthma lipid and fatty acid metabolism Machine-learning random forest model Chronic airway infammation

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Anion-induced electrolyte chemistry enables high energy density primary battery for ultralow-temperature conditions

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Science China Chemistry 2024年

作者： Zi-Hang xue Hao-Jie l.ang Yong-li Heng Jia-lin Yang Edison Huixiang ang Hong-Yan lü Hong Yu dong-Mei Dai Dai-Huo liu Chuan-Yu Zheng Wei Guo Xing-long Wu Department of Chemistry Northeast Normal University MOE Key laboratory for UV light-Emitting Materials and Technology Northeast Normal University Natural Sciences and Science Education National Institute of Education Nanyang Technological University State Key laboratory of Solidification Processing Center of Advanced Lubrication and Seal Materials Northwestern Polytechnical University School of Chemistry and Chemical Engineering Henan Normal University Key laboratory of Organo-Pharmaceutical Chemistry of Jiangxi Province Gannan Normal University

lithium/fluorinated-carbon（li/CFx） primary batteries are widely used in defense and military fields due to their stable discharge plateau, low self-discharge rate, and adaptability across a wide temperature range. However, enhancing their overall energy density and discharge capacity at low temperatures remains a critical challenge. Herein, we report a strategically designed liBF4-based sulfite/carboxylate electrolyte, where the anion-involved solvation structure significantly enhances electrochemical kinetics by reducing the desolvation barrier. Simultaneously, it introduces a radical reaction mechanism that contributes to additional capacity. As a result, the li/CFxprimary batteries with this formulated electrolyte deliver a specific capacity of 2,257.15 mAh g-1at 25 °C. More importantly, when operating at -40 °C, the batteries exhibit an exceptionally high discharge capacity of 1,549.4 m Ah g-1and an energy density of 2,868.6 Wh kg-1. Even at -60 °C, the li/CFxcells achieve a specific capacity of 444.3 mAh g-1and an energy density of 821.8 Wh kg-1at 0.1 C, significantly outperforming previously reported organic-based liquid electrolytes. This work offers a viable strategy for enhancing the specific capacity and energy density of primary batteries in extreme environments, providing valuable insights for future developments.

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Deep learning framework for comprehensive molecular and prognostic stratifications of triple-negative breast cancer

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Fundamental Research 2024年第3期4卷 678-689页

作者： Shen Zhao Chao-Yang Yan Hong lv Jing-Cheng Yang Chao You Zi-ang li Ding Ma Yi Xiao Jia Hu Wen-Tao Yang Yi-Zhou Jiang Jun xu Zhi-Ming Shao Key laboratory of Breast Cancer in Shanghai Department of Breast SurgeryFudan University Shanghai Cancer CenterShanghai 200032China Institute for AI in Medicine School of Artificial IntelligenceNanjing University of Information Science and TechnologyNanjing 210044China Department of Pathology Fudan University Shanghai Cancer CenterShanghai 200032China Greater Bay Area Institute of Precision Medicine Guangzhou 511466China Department of Radiology Fudan University Shanghai Cancer CenterShanghai 200032China

Triple-negative breast cancer(TNBC)is the most challenging breast cancer *** stratification and target therapy bring clinical benefit for TNBC patients,but it is difficult to implement comprehensive molecular testing in clinical ***,using our multi-omics TNBC cohort(N=425),a deep learning-based framework was devised and validated for comprehensive predictions of molecular features,subtypes and prognosis from pathological whole slide *** framework first incorporated a neural network to decompose the tissue on WSIs,followed by a second one which was trained based on certain tissue types for predicting different ***-omics molecular features were analyzed including somatic mutations,copy number alterations,germline mutations,biological pathway activities,metabolomics features and immunotherapy *** was shown that the molecular features with therapeutic implications can be predicted including the somatic PIK3CA mutation,germline BRCA2 mutation and PD-l1 protein expression(area under the curve[AUC]:0.78,0.79 and 0.74 respectively).The molecular subtypes of TNBC can be identified(AUC:0.84,0.85,0.93 and 0.73 for the basal-like immune-suppressed,immunomodulatory,luminal androgen receptor,and mesenchymal-like subtypes respectively)and their distinctive morphological patterns were revealed,which provided novel insights into the heterogeneity of TNBC.A neural network integrating image features and clinical covariates stratified patients into groups with different survival outcomes(log-rank Pl network models were externally validated on the TNBC cases from TCGA(N=143)and appeared robust to the changes in patient *** potential clinical translation,we built a novel online platform,where we modularized and deployed our framework along with the validated *** can realize real-time one-stop prediction for new *** summary,using only pathological WSIs,our proposed framework

关键词： Triple-negative breast cancer Deep learning Digital pathology Patient stratification Online platform

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Cardiovascular health awareness,risk perception,behavioural intention and INTERHEART risk stratification among middle-aged adults in Malaysia

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Asian Pacific Journal of Tropical Medicine 2024年第2期17卷 61-70页

作者： Siew-Keah lee ang-lim Chua Clement Heng Yew Fong Ban Hao Brian Cong Wen ling Ng Jing Feng Kong Yik-ling Chew Kai Bin liew Yang Shao M.Kandiah Faculty of Medicine and Health Sciences Universiti Tunku Abdul RahmanMalaysia Faculty of Medicine Universiti Teknologi MARAMalaysia Faculty of Pharmaceutical Sciences UCSI UniversityMalaysia Faculty of Pharmacy University of CyberjayaMalaysia The First Affiliated Hospital of Hainan Medical University China

Objective:To investigate the interrelationship between cardiovascular health awareness,risk perception,behavioural intention,and INTERHEART risk stratification in a middle-aged adult population in ***:A cross-sectional survey with convenience sampling was conducted during November 2022 and January *** completed validated questionnaires assessing cardiovascular health awareness,risk perception of cardiovascular diseases,behavioural intention towards adopting healthy habits,and INTERHEART risk stratification score(IHRS)based on established risk factors.A total of 602 respondents were included in the final *** were analysed with independent t-test/one-way ANOVA or Mann-Whitney/Kruskal-Wallis to test the differences,Pearson correlation or linear regression test to analyze the association of independent and dependent ***:There was a significant positive correlation between medical knowledge related to cardiovascular disease(CVD)and knowledge related to CVD risk prevention,risk perception,behavioural intention and IHRS(Plation).Notably,individuals with higher IHRS tended to have lower knowledge related to CVD and CVD risk prevention,risk perception,and behavioural ***,laborers,active/former smokers,individuals with lower household income and educational levels,those involved in occupations not related to the healthcare sector,and those who did not receive the CVD health brochure or are unaware of health self-assessment tools are likely to have lower levels of knowledge,risk perception,and poorer behavioural intention regarding cardiovascular health(Ple educational level,smoking status,awareness about CVD poster,self-assessment tools were repeatedly significantly associated with knowledge related to CVD and CVD risk prevention,risk perception,behavioral intention and/or IHRS(Plinear regression).Conclusions:These findings underscore the importance of promoting car

关键词： Cardiovascular risk Knowledge Risk perception Behavioural intention INTERHEART Middle-aged lifestyle Physical activity Psychosocial stress

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微氧生化-生物接触氧化法对癸二酸废水的处理特性研究

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工业水处理 2024年第4期44卷 147-154页

作者：徐军史新星王开春李坤刘冠董自斌曲昂中蓝连海设计研究院有限公司江苏连云港222004 江苏省环保微生物菌剂工程技术研究中心江苏连云港222004 江苏省环境保护高氨氮与高盐废水生化处理工程技术中心江苏连云港222004

癸二酸废水属于典型难降解工业废水,废水处理难度大,且富含的高硫酸盐极易被还原为硫化氢释放,导致环境污染。采用微氧生化-生物接触氧化工艺处理癸二酸废水,考察其对难降解工业废水的处理特性。结果表明,当进水负荷逐渐趋于稳定,在进水... 详细信息

癸二酸废水属于典型难降解工业废水,废水处理难度大,且富含的高硫酸盐极易被还原为硫化氢释放,导致环境污染。采用微氧生化-生物接触氧化工艺处理癸二酸废水,考察其对难降解工业废水的处理特性。结果表明,当进水负荷逐渐趋于稳定,在进水COD 4500~5500 mg/l、挥发酚150~200 mg/l的情况下,经微氧生化-生物接触氧化工艺处理后,出水CODl,挥发酚l。系统中出水硫化物质量浓度均低于0.2 mg/l,表明系统内不易产生H2S。在微氧段构建及启动阶段,伴随着DO升高,出水浊度不断降低;当整体工艺连续稳定运行时,系统除浊率保持在70%~90%之间,表明整体工艺对降低出水浊度有很好的效果。系统中MlSS 6000~8000 mg/l,SVI 100~150 ml/g,表明系统中污泥沉降性较好。系统运行稳定性评价表明系统具有较强的抗负荷冲击能力和耐盐度变化能力,可广泛应用于难降解工业废水的治理中。

关键词：癸二酸废水微氧生化生物接触氧化硫化物抗负荷冲击耐盐度变化

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黄毛榕中具有α-葡萄糖苷酶抑制活性化合物的研究

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天然产物研究与开发 2024年第9期36卷 1537-1541,1518页

作者：代德财张笑笑徐晓娟李子昂董凌嫣陈青霞张蕊海南科技职业大学化学与材料工程学院海口571126

为研究黄毛榕叶中具有降糖活性的成分,综合运用硅胶柱色谱、ODS柱色谱、Sephadex lH-20凝胶柱色谱以及半制备高效液相色谱法从黄毛榕95%的乙醇浸提物中共分离得到9个化合物,并通过核磁共振(NMR)、高分辨质谱(HR-ESI-MS)等技术鉴定了这9... 详细信息

为研究黄毛榕叶中具有降糖活性的成分,综合运用硅胶柱色谱、ODS柱色谱、Sephadex lH-20凝胶柱色谱以及半制备高效液相色谱法从黄毛榕95%的乙醇浸提物中共分离得到9个化合物,并通过核磁共振(NMR)、高分辨质谱(HR-ESI-MS)等技术鉴定了这9个化合物的结构,分别为N-阿魏烷基-l-脯氨酸甲酯(1)、N-反式-对香豆酰酪胺(2)、3′,4′,5′-三甲氧基肉桂醇(3)、lcariside H1(4)、(-)-dendrolactone(5)、3-羟基-1-(4-羟基-3,5-二甲氧基苯基)-1-丙酮(6)、反式阿魏酸(7)、4′-羟基-3′,5′-二甲氧基肉桂醇(8)和对羟基反式肉桂酸(9),化合物1为新化合物,化合物2~6和8首次从黄毛榕中分离得到。α-葡萄糖苷酶抑制活性测试结果表明得到的苯丙素类化合物1~6和8显示一定的α-葡萄糖苷酶抑制活性,IC50值范围为76.25~263.18μmol/l。

关键词：黄毛榕化学成分苯丙素 α-葡萄糖苷酶

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NiS ultrafine nanorod with translational and rotational symmetry

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National Science Review 2024年第07期 218-225页

作者： Jianxin Kang Qi Hu Ruixuan Zhang ang Gao Zhongning Huang Ziming Su Ke Pei Qinghua Zhang li-Min liu Renchao Che lin Gu Er-Jia Guo lin Guo School of Chemistry Beihang University laboratory of Advanced Materials Shanghai Key Lab of Molecular Catalysis and Innovative Materials Academy for Engineering&Technology Fudan University Zhejiang laboratory Beijing National Center for Electron Microscopy and laboratory of Advanced Materials School of Materials Science and Engineering Tsinghua University Beijing National laboratory for Condensed Matter Physics and Institute of Physics Chinese Academy of Sciences School of Physics Beihang University

Anisotropy is a significant and prevalent characteristic of materials, conferring orientation-dependent properties, meaning that the creation of original symmetry enables key functionality that is not found in nature. Even with the advancements in atomic machining, synthesis of separated symmetry in different directions within a single structure remains an extraordinary challenge. Here, we successfully fabricate NiS ultrafine nanorods with separated symmetry along two directions. The atomic structure of the nanorod exhibits rotational symmetry in the radial direction, while its axial direction is characterized by divergent translational symmetry, surpassing the conventional crystalline structures known to date. It does not fit the traditional description of the space group and the point group in three dimensions, so we define it as a new structure in which translational symmetry and rotational symmetry are separated. Further corroborating the atomic symmetric separation in the electronic structure, we observed the combination of stripe and vortex magnetic domains in a single nanorod with different directions, in accordance with the atomic *** manipulation of nanostructure at the atomic level introduces a novel approach to regulate new properties finely, leading to the proposal of new nanotechnology mechanisms.

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基于PWM+移相的双有源半桥DC-DC变换器分析及其控制

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电工技术学报 2024年第15期39卷 4830-4842页

作者：任强康薇姜亚鹏秦祝电磁能技术全国重点实验室(海军工程大学) 武汉430033

该文针对双有源半桥(DAHB)DC-DC变换器宽电压范围运行下电容电压计算不准确、单移相控制粗放等不足,提出一种基于PWM+移相的三自由度优化控制(TFC)策略。首先,基于DAHB的数学模型,推导桥臂串联电容稳态电压表达式。在此基础上,从最小化... 详细信息

该文针对双有源半桥(DAHB)DC-DC变换器宽电压范围运行下电容电压计算不准确、单移相控制粗放等不足,提出一种基于PWM+移相的三自由度优化控制(TFC)策略。首先,基于DAHB的数学模型,推导桥臂串联电容稳态电压表达式。在此基础上,从最小化回流功率角度得到三自由度控制的最优开关模式,推导了电流、功率等关键电气量的解析表达式,并获得以电流应力最小化为目标的包含等式和不等式约束的局部最优解方程组。其次,针对最优方程组难以解析求解的问题,采用模型简化+线性近似的方法求取其局部最优解,得到DAHB全工况PWM+移相的三自由度优化控制策略。然后,分析所提出的三自由度优化控制下DAHB变换器的软开关特性。最后,通过仿真及实验验证了桥臂串联电容稳态电压表达式的正确性和三自由度优化控制策略的有效性。

关键词：直流变换器双有源半桥三自由度优化控制软开关

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高效破乳剂混凝剂去除兰炭废水中COD的研究

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应用化工 2024年第2期53卷 319-321,331页

作者：马子昂张安龙王先宝赵萌刘欣东陕西科技大学环境科学与工程学院陕西西安710000

考察破乳剂种类、投加量、pH值以及混凝剂种类、投加量、pH值对兰炭废水COD去除率的影响。结果表明,破乳剂采用脂肪氨聚氧乙烯醚类破乳剂,最佳投加量为3 g/l,pH值为6,COD去除率为34.2%,含油量去除率为62.3%,混凝剂为有机胺混凝剂,最佳... 详细信息

考察破乳剂种类、投加量、pH值以及混凝剂种类、投加量、pH值对兰炭废水COD去除率的影响。结果表明,破乳剂采用脂肪氨聚氧乙烯醚类破乳剂,最佳投加量为3 g/l,pH值为6,COD去除率为34.2%,含油量去除率为62.3%,混凝剂为有机胺混凝剂,最佳投加量为5 mg/l,pH值为6,COD去除率为52%。

关键词：兰炭废水高分子有机破乳剂絮凝剂 COD去除率

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平煤矿区十二矿下保护层开采底板破坏深度数值模拟研究

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能源与环保 2024年第2期46卷 241-247页

作者：韩泰然李昂吕璐娜中国平煤神马控股集团有限公司河南平顶山467099 炼焦煤资源绿色开发全国重点实验室河南平顶山467099 西安科技大学建筑与土木工程学院陕西西安710054

为了深入系统地研究复杂条件下工作面开采底板岩层破坏机理和突水条件,根据平煤矿区十二矿31040下保护层工作面的工程地质、水文地质条件及岩石物理力学测试报告,采用FlAC 3D有限差分程序,分别对不同条件下的底板扰动破坏深度及其演化... 详细信息

为了深入系统地研究复杂条件下工作面开采底板岩层破坏机理和突水条件,根据平煤矿区十二矿31040下保护层工作面的工程地质、水文地质条件及岩石物理力学测试报告,采用FlAC 3D有限差分程序,分别对不同条件下的底板扰动破坏深度及其演化规律进行了数值计算分析,得出了底板岩体扰动破坏深度计算公式,并针对十二矿31040下保护层工作面开采对底板扰动破坏深度发育形态影响进行分析研究,验证拟合公式的科学实用性,可为今后平煤矿区带压安全开采提供技术支持和指导。

关键词：平煤矿区底板破坏深度数值模拟水害防治

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