Characteristics and main controlling factors of helium resources in the main petroliferous basins of the North China Craton

At present, the main controlling factors of helium accumulation is one of the key scientific problems restricting the exploration and development of helium reservoir. In this paper, based on the calculation results of He generation rate and the geochemical characteristics of the produced gas, both the similarities and differences between natural gas and He resources in the Bohai Bay, Ordos and the surrounding Songliao Basin are compared and analyzed, discussing the main controlling factors of helium resources in the three main petroliferous basins of the North China Craton. It is found that the three basins of Bohai Bay, Ordos and Songliao have similar characteristics of source rocks, reservoirs and cap rocks, that's why their methane resource characteristics are essentially the same. The calculated ~4He generation per cubic metamorphic crystalline basement in the three basins is roughly equivalent, which is consistent with the measured He resources, and it is believed that the ~4He of radiogenic from the crust is the main factor controlling the overall He accumulation in the three basins;there is almost no contribution of the mantle-derived CH_4, which suggests that the transport and uplift of mantle-derived ~3He carried by the present-day magmatic activities along the deep-large faults is not the main reason for the mantle-derived ~3He mixing in the basins. Combined with the results of regional volcanic and geophysical studies,it is concluded that under the background of the destruction of North China Craton, magma intrusion carried a large amount of mantle-derived material and formed basic volcanic rocks in the Bohai Bay Basin and Songliao Basin, which replenished mantle-derived ~3He for the interior of the basins, and that strong seismic activities in and around the basins also promoted the upward migration of mantle source ~3He. This study suggests that the tectonic zone with dense volcanic rocks in the Cenozoic era and a high incidence of historical strong earthquakes history may be a potential area for helium resource exploration.

Combining Deep Learning with Knowledge Graph for Design Knowledge Acquisition in Conceptual Product Design

The acquisition of valuable design knowledge from massive fragmentary data is challenging for designers in conceptual product design.This study proposes a novel method for acquiring design knowledge by combining deep learning with knowledge graph.Specifically,the design knowledge acquisition method utilises the knowledge extraction model to extract design-related entities and relations from fragmentary data,and further constructs the knowledge graph to support design knowledge acquisition for conceptual product design.Moreover,the knowledge extraction model introduces ALBERT to solve memory limitation and communication overhead in the entity extraction module,and uses multi-granularity information to overcome segmentation errors and polysemy ambiguity in the relation extraction module.Experimental comparison verified the effectiveness and accuracy of the proposed knowledge extraction model.The case study demonstrated the feasibility of the knowledge graph construction with real fragmentary porcelain data and showed the capability to provide designers with interconnected and visualised design knowledge.

Heterogeneous Catalysis for CO_(2) Conversion into Chemicals and Fuels

Catalytic conversion of CO_(2)into chemicals and fuels is a viable method to reduce carbon emissions and achieve carbon neutrality.Through thermal catalysis,electrocatalysis,and photo(electro)catalysis,CO_(2)can be converted into a wide range of valuable products,including CO,formic acid,methanol,methane,ethanol,acetic acid,propanol,light olefi ns,aromatics,and gasoline,as well as fi ne chemicals.In this mini-review,we summarize the recent progress in heterogeneous catalysis for CO_(2)conversion into chemicals and fuels and highlight some representative studies of diff erent conversion routes.The structure-performance correlations of typical catalytic materials used for the CO_(2)conversion reactions have been revealed by combining advanced in situ/operando spectroscopy and microscopy characterizations and density functional theory cal-culations.Catalytic selectivity toward a single CO_(2)reduction product/fraction should be further improved at an industrially relevant CO_(2)conversion rate with considerable stability in the future.

Magnetostrictive and Kinematic Model Considering the Dynamic Hysteresis and Energy Loss for GMA

Due to the influence of magnetic hysteresis and energy loss inherent in giant magnetostrictive materials （GMM）, output displacement accuracy of giant magnetostrictive actuator （GMA） can not meet the precision and ultra precision machining. Using a GMM rod as the core driving element, a GMA which may be used in the field of precision and ultra precision drive engineering is designed through modular design method. Based on the Armstrong theory and elastic Gibbs free energy theory, a nonlinear magnetostriction model which considers magnetic hysteresis and energy loss characteristics is established. Moreover, the mechanical system differential equation model for GMA is established by utilizing D＇Alembert＇s principle. Experimental results show that the model can preferably predict magnetization property, magnetic potential orientation, energy loss for GMM. It is also able to describe magnetostrictive elongation and output displacement of GMA. Research results will provide a theoretical basis for solving the dynamic magnetic hysteresis, energy loss and working precision for GMA fundamentally.

Optimization modeling method for coal-to-electricity heating load considering differential decisions

Heating by electricity rather than coal is considered one effective way to reduce environmental problems. Thus, the electric heating load is growing rapidly, which may cause undesired problems in distribution grids because of the randomness and dispersed integration of the load. However, the electric heating load may also function as an energy storage system with optimal operational control. Therefore, the optimal modeling of electric heating load characteristics, considering its randomness, is important for grid planning and construction. In this study, the heating loads of distributed residential users in a certain area are modeled based on the Fanger thermal comfort equation and the predicted mean vote thermal comfort index calculation method. Different temperatures are considered while modeling the users' heating loads. The heat load demand curve is estimated according to the time-varying equation of interior temperature. A multi-objective optimization model for the electric heating load with heat energy storage is then studied considering the demand response(DR), which optimizes economy and the comfort index. A fuzzy decision method is proposed, considering the factors influencing DR behavior. Finally, the validity of the proposed model is verified by simulations. The results show that the proposed model performs better than the traditional method.

Progress in Research on Infection Factors in Hemodialysis Patients

Patients with uremic diseases and in the stage of chronic renal failure are mainly treated with hemodialysis,which can extend the life and improve the quality of life of patients.Nevertheless,hemodialysis causes numerous adverse reactions,such as infection.Infection aft er hemodialysis treatment not only increases the suffering of patients but also increases treatment costs and risks.Therefore,hemodialysis complications are a serious global problem and have received extensive att ention from clinicians and researchers.This paper provides a comprehensive description of the infection factors of hemodialysis patients.This review aims to provide the basis and guidance for controlling and preventing infection in hemodialysis patients.

Adsorption behavior of CO_(2) in magnesite micro-pores at high temperature and pressure

The fluid inclusions in mantle rocks and melt indicated that a large amount of CO_(2)fluid exists in the deep earth,which is of great significance for understanding the deep carbon cycle and the composition of mantle.However,it was also suggested that carbonate minerals were likely to be the main host of mantle carbon.At the same time,the distribution and behavior of carbon in the mantle still remain a puzzle.In this paper,the adsorption behavior and occurrence characteristics of supercritical CO_(2)in magnesite(MgCO3)pores were studied by the Grand Canonical Monte Carlo method(GCMC)under the different conditions of CO_(2)pressures(0–100 MPa),temperatures(350–1500 K)and the pore sizes(7.5–30Å).The simulated results showed that the adsorption of CO_(2)in magnesite was a physical adsorption,which was mainly controlled by the intermolecular force.The gas adsorption became more stable when the adsorption site shifted from the high energy site to the low energy site with increasing pressure(P)and decreasing temperature(T)and pore size.At the same time,the variations of excess adsorption amounts of CO_(2)in the pores of magnesite(Nexcess)under the different conditions were quantitatively calculated.It was found that the Nexcess decreased with increasing T,but increased with increasing P and pore size.The results favor understanding the CO_(2)migration,seismic precursor observations,and heat transfer process in the deep earth.

Optimization of MSC therapeutic strategies for improved GVHD treatment

Mesenchymal stem cells(MSCs) have a powerful immunosuppressive capacity, and they have been used to treat numerous immune diseases, such as refractory graft-versus-host disease. Nevertheless, there are conflicting clinical data. To our knowledge, MSCs from different donors do not share the same qualities and have different immunosuppressive capacities. Infused MSCs are cleared by the recipient's immune cells or macrophages. Therefore, the MSC therapeutic strategy might be the most important factor that determines treatment success. Repeated infusions would lead to a relatively stable MSC concentration, which would benefit a sustained therapeutic effect. In this review, we focus on the quality of MSCs and the associated therapeutic strategy, as well as other potential variables affecting their utility as a cellular pharmaceutical.

Absolute pose estimation of UAV based on large-scale satellite image

Obtaining absolute pose based on pre-loaded satellite images is one of the important means of autonomous navigation for small Unmanned Aerial Vehicles(UAVs)in Global Navigation Satellite System(GNSS)denied environments.Most of the previous works have tended to build Convolutional Neural Networks(CNNs)to extract features and then directly regress the pose,which will fail when solving the challenges caused by the huge viewpoint and size differences between“UAV-satellite”image pairs in real-world scenarios.Therefore,this paper proposes a probability distribution/regression integrated deep model with the attention-guided triple fusion mechanism,which estimates discrete distributions in pose space and three-dimensional vectors in translation space.In order to overcome the shortage of the relevant dataset,this paper simulates image datasets captured by UAVs with forward-facing cameras during target searching and autonomous attacking.The effectiveness,superiority,and robustness of the proposed method are verified by simulated datasets and flight tests.

Primary cilia restrict autoinflammation by mediating PD-L1 expression

Ciliopathies are multisystem disorders characterized by the dysfunction of motile and/or non-motile cilia,which are microtubule-based structures protruding from the cell surface and function in cell motility and signaling.Common clinical manifestations of ciliopathies include retinal degeneration,mental retardation,renal abnormality,obesity,and skeletal dysplasia[1,2].Fibrosis of vital organs,characterized by the extensive deposition of extracellular matrix components,represents another complication frequently observed in patients and animal models of ciliopathies[3].

Liensinine attenuates inflammation and oxidative stress in spleen tissue in an LPS-induced mouse sepsis model

Sepsis is a complex syndrome caused by multiple pathogens and involves multiple organ failure,particularly spleen dysfunction.In 2017,the worldwide incidence was 48.9 million sepsis cases and 1l million sepsis-related deaths were reported(Rudd et al.,2020).Inflammation,oxidative stress,and apoptosis are the most common pathologies seen in sepsis.Liensinine(LIE)is a bisbenzylisoquinoline-type alkaloid extracted from the seed embryo of Nelumbo nucifera.Lotus seed hearts have high content of LIE which mainly has antihypertensive and antiarrhythmic pharmacological effects.It can exert anti-carcinogenicactivityby regulating cell.

Highly efficient and selective removal of vanadium from tungstate solutions by microbubble floating-extraction

Selective separation of dissolved tungsten and vanadium is of great significance for the utilization of the secondary resources of these elements.In this work,selective removal of vanadium from tungstate solutions via microbubble floating-extraction was systematically investigated.The results indicated that vanadium can be more easily mineralized over tungsten from tungstate solutions using methyl trioctyl ammonium chloride as mineralization reagent under weak alkaline conditions.Owing to the higher bubble and interface mass transfer rates,high-efficiency enrichment and deep separation of vanadium could be achieved easily.Additionally,the deep recovery of tungsten and vanadium from the floated organic phase could be easily realized using a mixed solution of sodium hydroxide and sodium chloride as stripping agents.The separation mechanism mainly included the formation of hydrophobic complexes,their attachment on the surface of rising bubbles,and their mass transfer at the oil–water interface.Under the optimal conditions,the removal efficiency of vanadium reached 98.5%with tungsten loss below 8%after two-stage microbubble floating-extraction.Therefore,the microbubble floating-extraction could be an efficient approach for separating selectively vanadium from tungstate solutions,exhibiting outstanding advantages of high separation efficiency and low consumption of organic solvents.

水环境中微塑料的光老化过程及影响因素研究进展

微塑料作为一种新兴污染物,由于粒径较小且性质稳定,能够作为水环境中污染物的载体,并对水生生物具有毒性危害.排放到水环境中的微塑料颗粒经过光照和机械破碎等风化过程后,其表面形态和理化性质会发生改变,并分解破碎成为粒径更小的微米级或纳米级塑料颗粒.本文系统地综述了微塑料在水环境中的光老化和破碎过程.这是由于光老化当前被认为是影响微塑料风化破碎最主要的途径,研究微塑料的光老化机制对于评价水环境中微塑料的形成过程及潜在生态风险有重要意义.微塑料在水环境中的光老化过程本质上是自由基引发的链式反应过程,通过改变微塑料表面基团的化学结构和组成影响其极性、亲疏水性和毒性,并通过影响高分子链的排列改变微塑料的机械性能,诱导微塑料进一步破碎形成粒径更小的塑料颗粒,这也是水环境中形成微塑料的重要途径.此外,微塑料在自然水体中的光老化过程会受到聚合物种类、塑料添加剂、生物膜、卤素离子和天然有机质等具有光化学活性物质的影响.通过实验室模拟微塑料在自然水环境中的长期老化行为过程中,应更多考虑复合添加剂和水质条件的共同影响.期望本综述能为全面和系统地评估老化微塑料的环境行为、毒理学效应及水环境生态风险提供理论支持.

结外NK/T细胞淋巴瘤鼻型患者B症状与EBV-DNA及细胞因子预后价值分析

目的探讨结外NK/T细胞淋巴瘤鼻型(ENKTL)患者治疗前B症状与血浆EBV-DNA拷贝数和血清细胞因子水平的相关关系,并分析其机制和预后价值。方法回顾性分析资料齐全的173例患者,其中男性116例,女性57例,中位年龄43岁(4~71岁)。Ann Arbor分期Ⅰ-Ⅱ期126例,Ⅲ-Ⅳ期47例。肿瘤原发部位包括鼻腔(100例)、非鼻腔上呼吸消化道(34例)和上呼吸消化道以外(39例)。治疗前有和无B症状者分别为91例和82例。按照血浆EBV-DNA拷贝数的高低分为阴性组36例、低载量(<104 copies/ml)组73例和高载量(≥104 copies/ml)组64例。检测的血清细胞因子包括IFN-γ、IL-2、IL-4、IL-6、IL-10和TNF-α。相关性分析采用Cochran-Armitage趋势检验和Spearman相关性分析,采用Cox回归风险模型进行单因素分析评估预后影响因素并用Kaplan-Meier法绘制生存曲线。结果B症状及发热的发生与血浆EBV-DNA拷贝水平的增加呈显著一致的趋势,发生B症状的患者其血清IFN-γ、IL-6和IL-10的水平均高于无B症状组(P均<0.001)。血清IFN-γ、IL-6和IL-10水平也均与血浆EBV-DNA拷贝数呈正相关。B症状的发生与ENKTL患者的高危临床特征相关,包括晚期、原发肿瘤局部侵犯、区域淋巴结累及和治疗前LDH升高。单因素生存分析显示,Ann Arbor分期、B症状、血浆EBV-DNA及上述血清细胞因子均为OS和PFS的影响因素(P均<0.05)。然而,多因素分析并未显示B症状对生存的独立预后价值。结论ENKTL患者B症状的发生与EBV-DNA拷贝水平和细胞因子的增高有关,这些指标也是影响ENKTL患者预后的重要因素。

Umbilical cord-derived mesenchymal stem cells regulate thymic epithelial cell development and function in Foxn 1^-/- mice

Thymic microenvironments are essential for the maturation of thymocytes, which can be anatomically compartmentalized into cortical and medullar regions. The absence of the gene encoding the transcription factor forkhead box nl （Foxnl） causes epithelial differentiation to stall in the precursor stage, resulting in the formation of an abnormal thymus. In this study, we used human umbilical cord-derived mesenchymal stem cells （UC-MSCs） to treat Foxn1^-/- mice, and then analyzed the maturation and distribution of thymic epithelial cells in the Foxn1^-/- thymic rudiment and the thymopoiesis of this newly developed rudiment. Our data showed a well-organized cortex-medulla architecture and an obvious improvement in the maturation of thymic epithelial ceils along with the appearance of UEA-1^＋MHCIIhi thymic epithelial cells in the rudiment. We further demonstrated improved thymopoiesis and the enhanced export of mature T cells with increased numbers of regulatory T cells into the peripheral blood. Furthermore, we observed that MSCs can engraft into thymic tissue and express many cytokines or proteins, particularly keratinocyte growth factor （KGF） and CD248, which are essential for thymic development. Collectively, our data identified a new mechanism for MSCs, which may provide a proper microenvironment for the reconstitution and functional maturation of the thymus in Foxn1^-/- mice. Additionally, we elicited additional insights into the therapeutic efficacy of MSCs in several autoimmune diseases.

Defect passivation strategy for inorganic CsPbI2Br perovskite solar cell with a high-efficiency of 16.77%

All-inorganic halide perovskite solar cells(PSCs)have acquired great progress,especially CsPbI2Br.However,their photoelectric conversion efficiency(PCE)remains far below the theoretical predictions.Non-radiative recombination is one of the important issues affecting the photoelectric performance of the PSCs,and the defective lead ions derived from the evaporation of halide ions in the inorganic perovskite are the principal non-radiative recombination centers.Herein,the non-radiative recombination is effectively suppressed by introducing the N-methyl-2-pyrrolidone(NMP)as a Lewis base molecule to passivate the defective lead ions.Therefore,by adjusting the dosage of NMP,the smooth and pinhole-free CsPbI_(2)Br perovskite film is obtained and the optimized device exhibits a champion PCE of 16.77%with an excellent fill factor(FF)of 0.80.This work proves the effectiveness of passivation using Lewis base molecules to prevent non-radiative recombination defects in inorganic perovskite.

Learning local shape descriptors for computing non-rigid dense correspondence

A discriminative local shape descriptor plays an important role in various applications.In this paper,we present a novel deep learning framework that derives discriminative local descriptors for deformable 3D shapes.We use local"geometry images"to encode the multi-scale local features of a point,via an intrinsic parameterization method based on geodesic polar coordinates.This new parameterization provides robust geometry images even for badly-shaped triangular meshes.Then a triplet network with shared architecture and parameters is used to perform deep metric learning;its aim is to distinguish between similar and dissimilar pairs of points.Additionally,a newly designed triplet loss function is minimized for improved,accurate training of the triplet network.To solve the dense correspondence problem,an efficient sampling approach is utilized to achieve a good compromise between training performance and descriptor quality.During testing,given a geometry image of a point of interest,our network outputs a discriminative local descriptor for it.Extensive testing of non-rigid dense shape matching on a variety of benchmarks demonstrates the superiority of the proposed descriptors over the state-of-the-art alternatives.

Surveillance of Multidrug-Resistant Bacterial Infections in Non-Adult Patients-Zhejiang Province,China,2014-2019

ABSTRACT Introduction:Antimicrobial resistance has become a major public health threat globally.The prevalence of multidrug-resistant(MDR)bacterial infections increased substantially among inpatients under 18 years of age in recent years.In Zhejiang Province,China,the trends of drug-resistance in non-adult patients from 2014 to 2019 were monitored,aiming to determine the variation patterns and epidemiological features of MDR strains.

Upgrading ethylene via renewable energy-driven electrocatalysis

Ethylene oxide(EO)and ethylene glycol(EG)are two important commodity chemicals and are industrially produced from petroleum-derived ethylene via thermocatalytic processes.The overoxidation of ethylene and the implementation of high temperature and pressure lead to substantial CO_(2)emission.Renewable energy-driven electrocatalysis provides a low-carbon route for upgrading ethylene under mild conditions,especially when it couples with ethylene electrosynthesis from CO_(2).In this minireview,we summarize recent achievements in the selective electrocatalytic oxidation of ethylene to EO and EG.Three main reaction routes including direct electrocatalytic oxidation with water,indirect electrocatalytic oxidation with halide mediators,and tandem electrocatalytic and thermocatalytic oxidation with hydrogen peroxide intermediate,are discussed.Some representative catalyst systems and reactor designs are exemplified.We discuss the existing scientific and technical challenges of electrocatalytic ethylene upgrading in terms of reaction rate,selectivity,and long-term stability,and propose future research directions and opportunities for pushing the process towards practical application.