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Abstract Brain metastases (BMs) and high-grade gliomas (HGGs) are the most common and aggressive types of malignant brain tumors in adults, with often poor prognosis and short survival. As their clinical symptoms and image appearances on conventional magnetic resonance imaging (MRI) can be astonishingly similar, their accurate differentiation based solely on clinical and radiological information can be very challenging, particularly for “cancer of unknown primary”, where no systemic malignancy is known or found. Non-invasive multiparametric MRI and radiomics offer the potential to identify these distinct biological properties, aiding in the characterization and differentiation of HGGs and BMs. However, there is a scarcity of publicly available multi-origin brain tumor imaging data for tumor characterization. In this paper, we introduce a multi-center, multi-origin brain tumor MRI (MOTUM) imaging dataset obtained from 67 patients: 29 with high-grade gliomas, 20 with lung metastases, 10 with breast metastases, 2 with gastric metastasis, 4 with ovarian metastasis, and 2 with melanoma metastasis. This dataset includes anonymized DICOM files alongside processed FLAIR, T1-weighted, contrast-enhanced T1-weighted, T2-weighted sequences images, segmentation masks of two tumor regions, and clinical data. Our data-sharing initiative is to support the benchmarking of automated tumor segmentation, multi-modal machine learning, and disease differentiation of multi-origin brain tumors in a multi-center setting.

The purpose of this review was to examine if maternal hypertensive disorders of pregnancy (HDP) and gestational diabetes mellitus (GDM) result in an increased risk of atopic dermatitis or eczema (AD-E) in childhood. We searched the databases of PubMed, Embase, CENTRAL, Web of Science, and Scopus for cohort or case–control studies up to 25th June 2023. Random-effects meta-analysis was done to generate the odds ratio (OR) of the association between HDP/GDM and AD-E. Eight studies were included. Meta-analysis of five studies showed that GDM in the mother was associated with an increased risk of AD-E in the offspring (OR: 1.35 95% CI: 1.13, 1.61 I2 = 61%). Pooled analysis of four studies demonstrated no association between HDP and risk of AD-E in the offspring (OR: 1.03 95% CI: 0.99, 1.08 I2 = 0%). The results did not change on sensitivity analysis and subgroup analysis based on study type, method of AD-E diagnosis, and sample size. This meta-analysis suggests that GDM may significantly increase the risk of AD-E in childhood, however, HDP does not seem to impact the risk of AD-E. Evidence is limited by the small number of studies and high interstudy heterogeneity. Further studies are needed to improve the quality of evidence.

The uncertainty of wind power output and the difficulty of power storage restrict the development of new energy. As a high-quality secondary energy, hydrogen energy is green and pollution-free and has a high energy density. In order to cope with the volatility and randomness of new energy output, this paper proposes a multi-time scale probabilistic production simulation method for wind-solar hydrogen integrated energy system considering hydrogen storage. First, thermal energy recovery is considered in the hydrogen storage system model, and the wind-solar hydrogen integrated energy system model including electrothermal hydrogen multiple energy storage is constructed. Then, multi-time scale probabilistic production simulation is conducted for the wind-solar hydrogen integrated energy system, and the system maintenance arrangement and hydrogen storage seasonal distribution scheme are obtained through medium and long-term production simulation. The simulation results are taken as the boundary for short-term production simulation to achieve the cooperation of electrothermal hydrogen multiple energy storage and to smooth the random fluctuation of wind and solar power. Finally, an IEEE-RTS79 node example is given to verify that the proposed method can improve the reliability, flexibility and low-carbon feature of system operation.

为解决现有检测方法存在前处理净化不完全、不彻底的情况，建立了超高效液相色谱（UPLC）测定食用油中香兰素、甲基香兰素和乙基香兰素含量的分析方法。用乙腈提取食用油中目标物，以乙腈饱和的正己烷萃取净化，冷冻分层后，再经Oasis PRiME HLB固相萃取柱净化，采用C18色谱柱分离，以0.5%甲酸水溶液-乙腈为流动相进行UPLC测定，外标法定量。结果表明：3种香兰素类物质在0.1~100.0 mg/L范围内线性关系良好，相关系数大于0.999，检出限均为0.03 mg/kg，定量限均为0.1 mg/kg；在 0.1、0.2、1.0 mg/kg 3个添加水平的平均回收率为86.6%~108.1%，相对标准偏差（RSD）为2.0%～8.8%。同时，采用本方法与BJS 201705中方法对食用油中的3种香兰素类物质进行测定，两种方法结果间无显著性差异。综上，建立的方法采用两步净化，减少了杂质对香兰素类物质的干扰，适用于食用油中香兰素类物质含量的测定。In order to solve the problem of incomplete purification in the pretreatment of the existing testing methods,a method for the determination of vanillin, methyl vanillin, and ethyl vanillin in edible oil by ultra high performance liquid chromatography (UPLC) was established. The target compounds in edible oil sample were extracted with acetonitrile, purified by n-hexane saturated by acetonitrile, frozen and stratified, then extracted and purified by Oasis PRiME HLB column, separated by C18 chromatographic column, and eluted with 0.5% formic acid aqueous solution and acetonitrile as the mobile phase gradient for the UPLC analysis. The external standard method was used for quantification. The results showed that the linearity of the three vanillins was good in the range of 0.1-100.0 mg/L, with correlation coefficient higher than 0.999, the detection limit was 0.03 mg/kg, and the quantitation limit was 0.1 mg/kg.The average recoveries at three additive concentrations of 0.1, 0.2 mg/kg and 1.0 mg/kgwere 86.6%- 108.1%, and the RSD was 2.0%-8.8%. There was no significant difference between the results of the established method and BJS 201705.The established method uses a two-step purification to reduce the interference of impurities to vanillin compounds, and is suitable for the determination of vanillins in edible oil.

Hydrogen energy plays a crucial role in meeting the “carbon peaking and carbon neutrality” goals, and the carbon capture technology is a vital technique for emission reduction in the energy industry. Blending hydrogen with natural gas to produce hydrogen-enriched compressed natural gas (HCNG) facilitates the transportation and utilization of hydrogen energy. At the same time, applying the carbon capture technology to retrofit thermal power units can effectively promote the large-scale consumption of renewable energy and reduce carbon emissions. For this purpose, a detailed model of hydrogen production equipment and fuel cells is established. Then, aimed at the problem of system carbon emissions, a carbon emission and output model of carbon capture thermal power units and a mathematical model of hydrogen doped cogeneration are established, and a stepped carbon trading mechanism is introduced to control carbon emissions. Based on this, an optimal scheduling model for hydrogen-enriched compressed natural gas integrated energy system is established with the goal of minimizing the sum of energy purchase cost, carbon emission cost, wind abandonment cost, and carbon sequestration cost, and taking into account the constraints such as hydrogen blending ratio and carbon capture in the pipeline network, which is solved by using the particle swarm optimization algorithm in conjunction with CPLEX. The analysis of the models built in different scenarios verifies the advantages of the proposed scheduling model in low-carbon economy.

As the flexibility needs of new power systems with a high share of new energy sources increase, it is important to develop a flexibility resource market operation mechanism to balance the volatility and uncertainty of large-scale new energy output in real time. To this end, a wind-photovoltaic-thermal-hydrogen coordinated planning method based on a demand proportional allocation mechanism (DPAM) is proposed in the paper. Firstly, a three-phase coordinated operation strategy for wind and photovoltaic systems with hydrogen storage is formulated. Inter-station power trading between wind and photovoltaic based on DPAM coordinates the revenues and expenditures of wind and photovoltaic stations. Thermal power and hydrogen storage systems are used to provide operational flexibility, and a fixed-profit-proportional model is used to ensure the stability of hydrogen storage system revenues. Then, integrating the investment decision and operation simulation, power trading costs and flexibility resource regulation costs are incorporated in the optimization objective. A multi-timescale coordinated planning model with wind serving as the primary power source and thermal power and hydrogen storage as the auxiliary power sources is established. Finally, a provincial grid in northeast China is used as an example for analysis. The results show that the proposed methodology can be used for power planning in an economical and environmentally friendly way, reducing flexibility resource requirements and investment costs while incrersing the power utilization of wind and photovoltaic stations.

ABSTRACTBacterial cellulose is a natural polymer, usually produced through synthetic (chemically defined) or natural media. However, the current methods of bacterial cellulose production are not ideal because of their low productivity and large number of byproducts. In order to improve the yield of bacterial cellulose, the influence of medium composition, culture time, culture temperature and culture pH on the production of bacterial cellulose by Acetobacter xylinum ATCC 23,767 was studied by single factor method. The optimal medium composition for Acetobacter xylinum can be analyzed by Thermal field emission scanning electron microscopy (TF-SEM) as glucose (20 g/L), yeast extract (5 g/L), peptone (5 g/L), citric acid (2 g/L). Using the logarithmic calculation method, we can determine that the optimal culture conditions are controlled by initial pH of the culture medium of 6 and constant static culture at 28°C for 9 days. Using TF-SEM, Fourier transform infrared (FT-IR) spectroscopy and water contact angle test, the best post-treatment solution can be selected as sodium hydroxide (1%). The results showed that the yield of bacterial cellulose could reach up to 8.5 g/L under the above conditions, and the obtained product exhibited a dense three-dimensional network structure.