MSWNet: A visual deep machine learning method adopting transfer learning based upon ResNet 50 for municipal solid waste sorting

● MSWNet was proposed to classify municipal solid waste. ● Transfer learning could promote the performance of MSWNet. ● Cyclical learning rate was adopted to quickly tune hyperparameters. An intelligent and efficient methodology is needed owning to the continuous increase of global municipal solid waste (MSW). This is because the common methods of manual and semi-mechanical screenings not only consume large amount of manpower and material resources but also accelerate virus community transmission. As the categories of MSW are diverse considering their compositions, chemical reactions, and processing procedures, etc., resulting in low efficiencies in MSW sorting using the traditional methods. Deep machine learning can help MSW sorting becoming into a smarter and more efficient mode. This study for the first time applied MSWNet in MSW sorting, a ResNet-50 with transfer learning. The method of cyclical learning rate was taken to avoid blind finding, and tests were repeated until accidentally encountering a good value. Measures of visualization were also considered to make the MSWNet model more transparent and accountable. Results showed transfer learning enhanced the efficiency of training time (from 741 s to 598.5 s), and improved the accuracy of recognition performance (from 88.50% to 93.50%); MSWNet showed a better performance in MSW classsification in terms of sensitivity (93.50%), precision (93.40%), F1-score (93.40%), accuracy (93.50%) and AUC (92.00%). The findings of this study can be taken as a reference for building the model MSW classification by deep learning, quantifying a suitable learning rate, and changing the data from high dimensions to two dimensions.     

The role of lipids in fermentative propionate production from the co-fermentation of lipid and food waste

● Lipid can promote PA production on a target from food waste. ● PA productivity reached 6.23 g/(L∙d) from co-fermentation of lipid and food waste. ● Lipid promoted the hydrolysis and utilization of protein in food waste. ● Prevotella , Veillonella and norank _f _Propioni bacteriaceae were enriched. ● Main pathway of PA production was the succinate pathway. Food waste (FW) is a promising renewable low-cost biomass substrate for enhancing the economic feasibility of fermentative propionate production. Although lipids, a common component of food waste, can be used as a carbon source to enhance the production of volatile fatty acids (VFAs) during co-fermentation, few studies have evaluated the potential for directional propionate production from the co-fermentation of lipids and FW. In this study, co-fermentation experiments were conducted using different combinations of lipids and FW for VFA production. The contributions of lipids and FW to propionate production, hydrolysis of substrates, and microbial composition during co-fermentation were evaluated. The results revealed that lipids shifted the fermentation type of FW from butyric to propionic acid fermentation. Based on the estimated propionate production kinetic parameters, the maximum propionate productivity increased significantly with an increase in lipid content, reaching 6.23 g propionate/(L∙d) at a lipid content of 50%. Propionate-producing bacteria Prevotella, Veillonella, and norank_f_Propionibacteriaceae were enriched in the presence of lipids, and the succinate pathway was identified as a prominent fermentation route for propionate production. Moreover, the Kyoto Encyclopedia of Genes and Genomes functional annotation revealed that the expression of functional genes associated with amino acid metabolism was enhanced by the presence of lipids. Collectively, these findings will contribute to gaining a better understanding of targeted propionate production from FW.     

Economic simulation modeling of reprocessing alternatives for corn masa byproducts

Increasing production of corn masa for tortillas, chips, and related snack foods is resulting in large quantities of organic residuals requiring environmentally sound management. These byproduct streams appear suitable for use as livestock feed material, thus eliminating landfilling costs. Possibilities for developing livestock feed include direct shipping to livestock feeding facilities, blending prior to shipping, extrusion processing, pellet mill processing, and dehydration. To assess the viability of these options for reprocessing masa byproducts as livestock feed materials, an economic model was developed and applied to each of these alternatives. Through a series of simulation runs with this model, it was determined that direct shipping was by far the most inexpensive means of recycling masa processing residuals (10–57 $/Mg). Other alternatives examined in increasing order of costs included blending prior to shipping, extrusion, pellet mill processing (3–15, 5–18, and 4–18 times greater than direct shipping, respectively), while dehydration was clearly cost-prohibitive (33–81 times greater). Bagged feed was slightly more expensive to produce than bulk feed (1.1 times greater), and reprocessing costs increased as delivery distance increased, due to increased labor, equipment, and fuel costs, but decreased as byproduct generation rate increased, due to the development of the economies of scale. Alternately, based on a tipping fee of 50 $/Mg, the total estimated cost to landfill ranged from 65 to 112 $/Mg. Based on this cost analysis, direct shipping and feeding to livestock is the recycling option of choice for masa processing byproducts. Although specific details of process configurations and associated costs will vary, similar results are likely for other high moisture food processing residuals destined for utilization as livestock feed or components thereof.     

电子废弃物中持久性有机污染物分析检测方法的研究进展

针对目前电子废弃物中持久性有机污染物(POPs)尚未形成有效快速分析检测方法的问题,介绍了溶剂萃取、固相萃取、微波萃取和超临界流体萃取等POPs前处理技术的研究进展,总结了POPs的分析方法,如:气相色谱、液相色谱、气相色谱-质谱法、高分辨率气相色谱-高分辨质谱法等化学分析方法,以及生物传感器测定法、表面胞质团共振检测法、酶联免疫检测法等生物分析方法。分析了各方法的优劣,并提出了展望。     

飞机起落架材料防护技术现状及研究进展

介绍了飞机起落架高强度钢的防护工艺及其防护特点。传统的防护工艺主要是镀铬和镀镉工艺,目前出现了无氰镀镉-钛、高速火焰喷涂(HVOF)涂层、低氢脆刷镀镉等新型防护工艺。通过对各新型防护工艺与传统工艺的工艺性能及耐腐蚀性能进行对比发现,各新型防护工艺都能很好地取代传统的防护工艺应用于飞机起落架的保护。     

利用粉煤灰处理生活污水的试验研究

以火电厂贮灰场粉煤灰为吸附剂,以生、活污水为吸附对象,通过间歇吸附试验,分析了各因素对粉煤灰吸附性能的影响,并找出了粉煤灰对生活污水中化学耗氧物质(COD)的吸附规律。     

利用木薯渣进行纤维素分解菌混合发酵工艺研究

从自然界中筛选出6株相互间无拮抗作用的纤维素分解菌进行混合发酵,研究了该混菌以工业废弃物木薯渣为原料发酵的最佳产酶条件是:培养基配方为木薯渣4 g,黄豆粉0.75 g,KH2PO40.20 g,NaCl 0.02g,MgSO4·7H2O 0.015 g,蒸馏水1 000 mL;发酵工艺为初始pH=7.0,培养温度40℃,每250 mL锥形瓶装培养液140mL,接种量3%,在140 r·min-1转速下发酵72 h.结果表明,混合菌的发酵可大幅度提高纤维素酶活力及对还原糖的耐受力.     

钻井废液的固液分离工艺与设备

影响钻井废液固液分离的因素包括钻井废液的稀释比例、脱稳处理药剂的种类和加量、固液分离设备。文章介绍了钻井废液处理的基本流程,分析了钻井废液pH值对固液分离效果的影响,论述了卧式螺旋卸料沉降离心机的基本结构、设备参数和操作参数对固液分离效果的影响。     

基于固液分离预处理的餐厨垃圾厌氧发酵

研究不同预处理方法所获餐厨垃圾浆料的半连续式厌氧发酵效果,评价该类餐厨垃圾的产甲烷资源化潜能.结果表明,固液油三相分离预处理后的液相餐厨垃圾作为进料较固液混合相餐厨垃圾在厌氧发酵时具有更高的VS去除率,实际产甲烷潜能和甲烷转化率,分别为91.2％,531.5mLCH4/gVS和54.3％,表明液相餐厨垃圾半连续中温湿式...     

组合钢管混凝土式防屈曲支撑

由于河北省图书馆加固改造工程的实际需要,开发出了一种新型组合钢管混凝土式防屈曲支撑。该新型支撑解决了全钢型防屈曲支撑在大长度时难以满足稳定性的问题,而且比起传统钢管混凝土约束的防屈曲支撑,无需考虑内芯与混凝土之间的粘结力问题,加工过程简便、施工速度快,且质量容易控制。现已对此类新型支撑完成了短试件和足尺试件的拟静力滞回性能试验,试验结果表明,新型支撑的滞回曲线饱满稳定,整体稳定性和局部稳定性较好,满足工程要求。