A general mechanistic model for predicting the fate and transport of phthalates in indoor environments

A mechanistic model that considers particle dynamics and their effects on surface emissions and sorptions was developed to predict the fate and transport of phthalates in indoor environments. A controlled case study was conducted in a test house to evaluate the model. The model‐predicted evolving concentrations of benzyl butyl phthalate in indoor air and settled dust and on interior surfaces are in good agreement with measurements. Sensitivity analysis was performed to quantify the effects of parameter uncertainties on model predictions. The model was then applied to a typical residential environment to investigate the fate of di‐2‐ethylhexyl phthalate (DEHP) and the factors that affect its transport. The predicted steady‐state DEHP concentrations were 0.14 μg/m³ in indoor air and ranged from 80 to 46 000 μg/g in settled dust on various surfaces, which are generally consistent with the measurements of previous studies in homes in different countries. An increase in the mass concentration of indoor particles may significantly enhance DEHP emission and its concentrations in air and on surfaces, whereas increasing ventilation has only a limited effect in reducing DEHP in indoor air. The influence of cleaning activities on reducing DEHP concentration in indoor air and on interior surfaces was quantified, and the results showed that DEHP exposure can be reduced by frequent and effective cleaning activities and the removal of existing sources, though it may take a relatively long period of time for the levels to drop significantly. Finally, the model was adjusted to identify the relative contributions of gaseous sorption and particulate‐bound deposition to the overall uptake of semi‐volatile organic compounds (SVOCs) by indoor surfaces as functions of time and the octanol‐air partition coefficient (K_oa) of the chemical. Overall, the model clarifies the mechanisms that govern the emission of phthalates and the subsequent interactions among air, suspended particles, settled dust, and interior surfaces. This model can be easily extended to incorporate additional indoor source materials/products, sorption surfaces, particle sources, and room spaces. It can also be modified to predict the fate and transport of other SVOCs, such as phthalate‐alternative plasticizers, flame retardants, and biocides, and serves to improve our understanding of human exposure to SVOCs in indoor environments.     

Fabrication of crescent-shaped ceramic microparticles based on single emulsion microfluidics

Ceramic microparticles have great potentials in various fields such as materials engineering, biotechnology, microelectromechanical systems, etc. Morphology of the microparticle performs an important role on their application. To date, it remains difficult to find an effective and controllable way for fabricating nonspherical ceramic microparticles with 3D features. This work demonstrates a method that combines UV light lithography and single emulsion opaque-droplet-templated microfluidic molding to prepare the crescent-shaped ceramic microparticles. By tailoring the intensity of UV light and flow rate of fluid, the shapes of microparticles are accordingly tuned. Therefore, varieties of crescent-shaped microparticles and their variations have been fabricated. After sintering, the crescent-shaped alumina ceramic microparticles were obtained. Benefitting from the light absorption and scattering behavior of most ceramic nanoparticles, this system can serve as a general platform to produce crescent-shaped microparticles made from different materials, and hold great potentials for applications in microrobotics, structural materials in MEMS, and biotechnology.     

Chemical bond characteristics and infrared reflectivity spectrum of a novel microwave dielectric ceramic CaIn2O4 with near-zero τf

Orthorhombic-structured CaIn₂O₄ ceramics with a space group Pca2₁ were synthesized via a solid-state reaction method. A high relative density (95.6 %) and excellent microwave dielectric properties (ε_r ～11.28, Qf = 74,200 GHz, τ_f ～ ?4.6 ppm/°C) were obtained when the ceramics were sintered at 1375 °C for 6 h. The dielectric properties were investigated on the basis of the Phillips–Van Vechten–Levine chemical bond theory. Results indicated that the dielectric properties were mainly determined by the InO bonds in the CaIn₂O₄ ceramics. These bonds contributed more (74.65 %) to the dielectric constant than the CaO bonds (25.35 %). Furthermore, the intrinsic dielectric properties of the CaIn₂O₄ ceramics were investigated via infrared reflectivity spectroscopy. The extrapolated microwave dielectric properties were ε_r ～10.12 and Qf = 112,200 GHz. Results indicated that ion polarization is the main contributor to the dielectric constant in microwave frequency ranges.     

基于自适应关键点热图的遮挡篮球运动员检测算法

运动员检测是篮球运动智能化分析的基础,由于篮球视频存在场景复杂、目标运动快速、目标间遮挡严重的问题,现有目标检测技术不能实现对密集遮挡运动员的精确检测.为此,提出一种基于自适应关键点热图的遮挡篮球运动员检测算法.首先通过预先构建的全卷积编码-解码网络进行运动员特征提取,利用高斯核函数在特征图上渲染关键点热图,热图的渲染采用自适应策略,高斯核半径随着目标宽和高的变化而变化,能够加快网络收敛;然后在热图中提取运动员中心点,回归得到运动员宽高、位置等信息,省去了基于锚框检测中复杂耗时的后处理过程,更利于在遮挡条件下区分2个运动员.在篮球运动数据集BasketballPlayer上进行实验的结果表明,在复杂篮球视频场景下,该算法能有效地解决密集遮挡运动员之间漏检、误检和检测精度不高的问题,处理速度可达到26帧/s.     

包钢120t转炉滑板挡渣技术的改进

文章介绍了包钢120 t转炉滑板挡渣与红外下渣检测技术改进及实际应用情况,并与目前常用挡渣方式进行对比分析,结果表明:改进后挡渣成功率达到99％以上,下渣量控制在80 mm以内,钢水回磷平均控制在0.001％以内,提高了钢水的洁净度,为生产高附加值的钢种和降低生产成本奠定了基础.     

Feature selection and hyper parameters optimization for short-term wind power forecast

Applied Intelligence - Accurate wind power forecasting plays an increasingly significant role in power grid normal operation with large-scale wind energy. The precise and stable forecasting of wind...     

以辉锑矿为原料放电等离子烧结快速制备黝铜矿Cu_(12)Sb_4S_(13)及反应机理

采用辉锑矿为原料成功制备出Cu_(12)Sb_4S_(13)块体。研究以Sb_2S_3矿物为原料时烧结工艺对Cu_(12)Sb_4S_(13)合成的影响。在400 ～ 440℃温度区间内均可快速合成Cu_(12)Sb_4S_(13)块体且二次烧结能够进一步减小中间相CuSbS_2和Cu_3SbS_3。第二相Cu_3SbS_4和残留相CuS随着烧结时间的延长而降低。二次烧结前进行机械化球磨处理,干磨比湿磨更容易减小残留相。初次烧结块体的断面SEM和EDS能谱分析表明内部存在Cu或Cu_2S颗粒团聚现象。适当降低Cu或CuS摩尔量(化学计量比0.1 mol)能促进烧结块表面反应进行。烧结过程中,硫磺蒸汽压的导致烧结块表面成分和内部粉末的成分不同。     

酸性服役管线管BNS力学及耐腐蚀性能研究

文章介绍了包钢钢管公司酸性服役管线管BNS成分设计要求,对材料的拉伸性能、冲击性能、组织以及耐腐蚀性能进行了检测和分析,正火处理后,材料具有良好的力学性能和抗腐蚀性能.试验结果表明,设计的BNS完全能满足酸性服役条件下管线管性能要求.