3D numerical investigation of thermally assisted high efficiency ductile machining of nanocrystalline hydroxyapatite

This study investigates the effects of four different variables (initial workpiece temperature, side rake angle, edge radius/feed rate, and nose radius/depth of cut) on ductile regime machining of a bioceramic material known as nanohydroxyapatite (nano-HAP) using 3D numerical simulation. AdvantEdge FEM Version 5.9 is used to conduct turning simulations of the nano-HAP workpiece. Tecplot 360 is used to analyze the results of the simulations. Because the workpiece is thin, the entire workpiece is set to a uniform initial temperature to simulate laser preheating of the material. Initial workpiece temperature, rake angle (side rake angle), edge radius, and nose radius are varied, and the effects of these operating conditions on critical feed are investigated. It is found that critical feed increases as initial workpiece temperature increases, and also as negativity of rake angle increases. For the edge radius, it is concluded that an initial increase causes an increase in critical feed – however, at some value of edge radius, critical feed shows no further increase; for the nose radius, critical feed appears to show no significant dependence.     

电渗透脱水对污泥热干燥特性的影响

以污水厂机械脱水后的污泥作为研究对象,提出了采用电渗透-热干燥结合进行深度脱水的方法。通过对原泥以及电渗透脱水至不同含水率(67%、71%和76%)的污泥在热干燥过程中含水率和干燥速率的测定,分析电渗透脱水对污泥热干燥特性的改善规律。结果表明,经电渗透脱水至含水率为67%和71%的污泥在热干燥过程中的传热传质速率及干燥速率有明显提高,且干燥温度越高,电渗透后污泥的干燥速率与原泥的干燥速率差距越大。相同电压梯度及相同温度下电渗透至67%后进行热干燥耗能最少。实际应用中应结合能耗分析选择合适的电渗透程度及干燥温度,以达到最优效果。     

Development of pretreatment protocol for DNA extraction from biofilm attached to biologic activated carbon (BAC) granules

The biologic activated carbon (BAC) process is widely used in drinking water treatments. A comprehensive molecular analysis of the microbial community structure provides very helpful data to improve the reactor performance. However, the bottleneck of deoxyribonucleic acid (DNA) extraction from BAC attached biofilm has to be solved since the conventional procedure was unsuccessful due to firm biomass attachment and adsorption capacity of the BAC granules. In this study, five pretreatments were compared, and adding skim milk followed by ultrasonic vibration was proven to be the optimal choice. This protocol was further tested using the vertical BAC samples from the full-scale biofilter of Pinghu Water Plant. The results showed the DNAyielded a range of 40 μg·g⁻¹ BAC (dry weight) to over 100 μg·g⁻¹ BAC (dry weight), which were consistent with the biomass distribution. All results suggested that the final protocol could produce qualified genomic DNA as a template from the BAC filter for downstream molecular biology researches.     

Effects of plant density on the photosynthetic and chloroplast characteristics of maize under high-yielding conditions

The Science of Nature - Knowledge on animal personality has provided new insights into evolutionary biology and animal ecology, as behavioural types have been shown to affect fitness. Animal...     

大气非甲烷烃在线测量系统的研发与应用

为满足大气非甲烷烃(NMHCs)时空分布监测需求,开发出一套可用于移动观测的小型在线测量系统.环境空气经Teflon膜去除颗粒物后,以100 m L·min-1流速采样进入多床吸附剂捕集阱,样品气中的NMHCs在-10℃的温度下被捕集,之后,捕集阱经高纯氮气反吹后迅速升温至300℃,载气(高纯氮气)以1.6 m L·min-1将解吸出的样品送入GC-FID进行检测.通过系列条件实验,确定了吸附剂的最佳组合和仪器运行的最优参数,在此条件下,本系统最低检出限为0.01 nmol·mol-1(顺-2-丁烯),标准工作曲线R2为0.9991~0.9998,10次重复实验RSD3%.本系统与现有商业化设备TH-300B的测量结果具有较好的一致性,在实际外场应用中,运行稳定性高、能准确追踪12种典型NMHCs的大气浓度变化,可为定量分析大气二次污染形成机制提供关键前体物信息.     

基于半参数面板数据模型的江苏省经济增长与水污染排放关系实证研究

本文以江苏省为研究区域,采用1990—2013年江苏省市级面板数据,基于单位根检验和面板协整检验,运用可拓展的随机性环境影响评估模型(STIRPAT)和参数、半参数固定效应回归方法,对经济增长与工业COD排放之间的关系展开研究。研究发现,江苏省经济增长与工业COD排放之间存在倒U形曲线关系,即全省工业COD排放随经济的发展呈现先增长后降低的趋势,同时人口增长对水污染物排放影响很大,二者之间的环境库兹涅茨曲线表明了经济持续发展能够协调并能解决其与水污染排放之间的困境。本研究丰富了社会经济发展与水污染关系在市级尺度层面的实证研究,为"十三五"期间江苏省水污染治理提供了政策依据。     

HCFCs和HFCs对流层寿命的预测

利用Ｃ－Ｈ键的Ｍｕｌｌｉｋｏｎ键重叠布局数，对甲烷的不完全氟氯取代物的对流层寿命用公式作了计算。对传统的人工神经网络法－反向传递算法作了改进。在电荷这一量化参数基础上，用ＡＮＮ法对一碳和二碳的ＨＣＦＣｓ和ＨＦＣｓ的对流层寿命作了预测。     

Development of pretreatment protocol for DNA extraction from biofilm attached to biologic activated carbon (BAC) granules

The biologic activated carbon (BAC) process is widely used in drinking water treatments. A comprehensive molecular analysis of the microbial community structure provides very helpful data to improve the reactor performance. However, the bottleneck of deoxyribonucleic acid (DNA) extraction from BAC attached biofilm has to be solved since the conventional procedure was unsuccessful due to firm biomass attachment and adsorption capacity of the BAC granules. In this study, five pretreatments were compared, and adding skim milk followed by ultrasonic vibration was proven to be the optimal choice. This protocol was further tested using the vertical BAC samples from the full-scale biofilter of Pinghu Water Plant. The results showed the DNA yielded a range of 40 μg·g^-1 BAC (dry weight) to over 100 μg·g^-1 BAC (dry weight), which were consistent with the biomass distribution. All results suggested that the final protocol could produce qualified genomic DNA as a template from the BAC filter for downstream molecular biology researches.     

Water-dispersible nano-pollutions reshape microbial metabolism in type-specific manners: A metabolic and bacteriological investigation in Escherichia coli

• Water-dispersible nano-pollutions exhibit type-specific toxic effects on E. coli. • Global metabolite profiling was used to characterize metabolic disruption patterns. • Key dysregulated metabolites responsive to nano-pollution exposures were found. • Amino acid metabolism and purine metabolism are perturbed at nano-pollutions. Incomplete separation and recycling of nanoparticles are causing undesirable nanopollution and thus raising great concerns with regard to nanosafety. Since microorganisms are important regulator of physiological processes in many organisms, the interaction between nanopollution and microbial metabolomics and the resultant impact on the host’s health are important but unclear. To investigate how typical nanopollution perturbs microbial growth and metabolism, Escherichia coli (E. coli) in vitro was treated with six water-dispersible nanomaterials (nanoplastic, nanosilver, nano-TiO₂, nano-ZnO, semiconductor quantum dots (QDs), carbon dots (CDs)) at human-/environment-relevant concentration levels. The nanomaterials exhibited type-specific toxic effects on E. coli growth. Global metabolite profiling was used to characterize metabolic disruption patterns in the model microorganism exposed to different nanopollutants. The percentage of significant metabolites (p<0.05, VIP>1) accounted for 6%–38% of the total 293 identified metabolites in each of the nanomaterial-contaminated bacterial groups. Metabolic results also exhibited significant differences between different nanopollutants and dose levels, revealing type-specific and untypical concentration-dependent metabolic responses. Key metabolites responsive to nanopollution exposures were mainly involved in amino acid and purine metabolisms, where 5, 4, and 7 significant metabolic features were included in arginine and proline metabolism, phenylalanine metabolism, and purine metabolism, respectively. In conclusion, this study horizontally compared and demonstrated how typical nanopollution perturbs microbial growth and metabolomics in a type-specific manner, which broadens our understanding of the ecotoxicity of nanopollutants on microorganisms.     

Towards economic value-added growth without carbon emission embodied growth in North–North trade—An empirical analysis of US-German trade

Environmental Science and Pollution Research - Nationally determined contributions were at the core of the Paris Agreement for the global response to climate change. However, with the geographical...