Key technologies and equipment for green short process of coal mine drainage resource utilization

Coal is an important industrial raw material in China, closely related to its economic development. During coal mining, a large amount of coal mine drainage is generated, which is an important unconventional water resource that needs to be properly treated. However, the existing coal mine drainage treatment technology generally has problems such as large land occupation, long process, dosing requirement, complex operation and maintenance, and unstable effluent quality. In order to shorten the treatment process, improve treatment efficiency, and ensure effluent quality, it is urgent to develop new key technologies and equipment. This study adopts the PolyCera membrane direct filtration technology to treat coal mine drainage. By comparing and analyzing the conditions of membrane flux, membrane specific flux, operating pressure, and circulating flow rate, the optimal operating parameters are determined as follows: operating pressure of 0.2 MPa, circulating flow rate of 18 m3/ h. The treatment process does not require dosing, and the stable concentration of suspended solids in the effluent is less than 1 mg/L, and the stable turbidity is less than 1 NTU. Using the most widely used membrane fouling model to explore the mechanism of membrane fouling, the analysis results of membrane fouling indicate that membrane fouling is mainly caused by cake layer fouling, accompanied by intermediate fouling, specifically manifested as surface fouling of the membrane and blockage of membrane pores. The membrane surface pollution is timely removed through hydraulic backwashing, with an optimal backwashing time of 60 s and a flux recovery rate of 85.12%. By regularly cleaning the membrane pores with chemical cleaning, and with a composite formulation for 3 hours cleaning, the flux recovery rate can reach over 95%. Engineering cases have shown that the PolyCera membrane direct filtration can directly replace the "coagulating sedimentation -filtration-ultrafiltration" (one process replaces three), and has been continuously and stably operating for 2 years, meeting the design water production requirements. The system recovery rate is above 90%, and the water quality meets the requirements of 24 standard limits for Class III surface water environmental quality in GB 3838—2002. Also, it has a high degree of automation and can be unmanned, achieving some new requirements of resource utilization of coal mine drainage, green and short process, energy conservation, efficiency, and intelligence. It can provide a technical reference for the large-scale promotion and application of the technology

Effect of nano-ZrC powders on microstructure and properties of 90W−7Ni−3Fe alloys

To effectively inhibit the growth of tungsten grains during the liquid phase sintering, the ZrC dispersion-strengthened heavy tungsten alloys (WHAs) were prepared by liquid phase sintering at 1500 ℃. The effects of ZrC mass fraction (1% and 2%) on the microstructure and properties of WHAs were analyzed. The results show that, with the increase of ZrC mass fraction, the relative density and W−W contiguity of WHAs decrease, and the tungsten grains are refined to a certain extent. When the ZrC mass fraction is 1%, the strength-ductility matching effect of WHAs is the best, the relative density reaches 98.4%, the tungsten grain size is 22.17 μm, and the yield strength and compressive strength (40% deformation) reach 791 MPa and 2179 MPa, respectively, which are increased by 8.35% and 38.70%, compared with WHAs without ZrC (730 MPa and 1570 MPa)

Investigation of energetic ion losses induced by long-lived saturated internal mode with energetic particle diagnostics in the HL-2A tokamak

ORCID　0000-0002-7547-701XSeveral sets of energetic particle diagnostics, including a set of neutron flux monitoring systems, a solid-state neutral particle analyzer and a fast ion loss probe (FILP), have been used to investigate the energetic ion losses induced by the long-lived saturated internal mode (LLM) in the HL-2A tokamak. Clear experimental evidence for different levels of energetic ion losses induced by LLM, sawtooth and minor disruption has been observed. A numerical calculation for the evolution of neutron emissions was carried out with the FBURN code, and it shows that the neutron emission drop rate linearly increases with the LLM amplitude and no threshold perturbation amplitude exists, illustrating that the loss mechanism for LLM induced energetic ion loss is dominantly convective. In addition, measurement results of the FILP demonstrate that LLM tends to expel energetic ions with relatively low energy ($E \lt 27\,$keV) and high pitch angle ($\theta\gt60^{\circ}$), and can suppress the prompt loss of energetic ions with high energy and low pitch angle to a certain degree. Furthermore, the physical process for LLM induced energetic ion loss can be explained by orbit calculations, which show that LLM induced lost energetic ions will transport from center to peripheral region first, and then get lost out of plasma. The experimental observations are successfully reproduced by calculations using the ORBIT code combined with both the NUBEAM code and the MARS-K code. The paper clearly describes the whole physical process of LLM induced energetic ion loss for the first time in the HL-2A tokamak.journal articl

Targeted proteomics-determined multi-biomarker profiles developed classifier for prognosis and immunotherapy responses of advanced cervical cancer

BackgroundCervical cancer (CC) poses a global health challenge, with a particularly poor prognosis in cases of recurrence, metastasis, or advanced stages. A single biomarker is inadequate to predict CC prognosis or identify CC patients likely to benefit from immunotherapy, presumably owing to tumor complexity and heterogeneity.MethodsUsing advanced Olink proteomics, we analyzed 92 oncology-related proteins in plasma from CC patients receiving immunotherapy, based upon the comparison of protein expression levels of pre-therapy with those of therapy-Cycle 6 in the partial response (PR) group and progressive disease (PD) group, respectively.Results55 proteins were identified to exhibit differential expression trends across pre-therapy and post-therapy in both PR and PD groups. Enriched GO terms and KEGG pathways were associated with vital oncological and immunological processes. A logistic regression model, using 5 proteins (ITGB5, TGF-α, TLR3, WIF-1, and ERBB3) with highest AUC values, demonstrated good predictive performance for prognosis of CC patients undergoing immunotherapy and showed potential across different cancer types. The effectiveness of these proteins in prognosis prediction was further validated using TCGA-CESC datasets. A negative correlation and previously unidentified roles of WIF-1 in CC immunotherapy was also first determined.ConclusionOur findings reveal multi-biomarker profiles effectively predicting CC prognosis and identifying patients benefitting most from immunotherapy, especially for those with limited treatment options and traditionally poor prognosis, paving the way for personalized immunotherapeutic treatments and improved clinical strategies