mlsa-iai-msu-lab/ru_sci_bench_zho_cite_reranking huggingface dataset:
Design on the Prestressed Concrete Frame Beam-column

A bidirectional ribbed concrete beam slab structure was widly adopted for the upper space of industrial buildings. To maintain ample space and minimize the presence of conventional columns, a bidirectional prestressed concrete beam is often employed. The intersection node of the prestressed concrete frame beam column was characterized by a high density of steel reinforcement, significant structural loads, and complex construction requirements. To ensure the quality, safety, and progress of prestressed frame beamcolumn intersection nodes during construction, this article proposed a new technology for constructing such nodes, which includes setting the tensioning and haunching ends of nodes at different positions, using ABAQUS finite element software to optimize the design of cross-sectional dimensions, conducting stress analysis simulations.
Nanoparticle-reinforced foam system for enhanced oil recovery (EOR): Mechanistic review and perspective

Boosted by economic development and rising living standards, the world's carbon dioxide emissions remain high. Maintaining temperature rises below 1.5 °C by the end of the century requires rapid global carbon capture and storage implementation. The successful application of carbon capture, utilization, and storage (CCUS)technology in oilfields has become the key to getting rid of this predicament. Foam flooding, as an organic combination of gas and chemical flooding, became popular in the 1950s. Notwithstanding the irreplaceable advantages, as a thermodynamically unstable system, foam's stability has long restricted its development in enhanced oil and gas recovery. With special surface/interface effects and small-size effects, nanoparticles can be used as foam stabilizers to enhance foam stability, thereby improving foam seepage and oil displacement effects in porous media. In this paper, the decay kinetics and the stabilization mechanisms of nanoparticle-reinforced foams were systematically reviewed. The effects of nanoparticle characteristics, including particle concentration, surface wettability, particle size, and type, and reservoir environment factors, including oil, temperature, pressure, and salinity on the foam stabilization ability were analyzed in detail. The seepage and flooding mechanisms of nanoparticle-reinforced foams were summarized as: improving the plugging properties of foams, enhancing the interaction between foams and crude oil, and synergistically adjusting the wettability of reservoir rocks. Finally, the challenges in the practical application of nanoparticle-reinforced foams were highlighted, and the development direction was proposed. The development of nanoparticle-reinforced foam can open the way toward adaptive and evolutive EOR technology, taking one further step towards the high-efficiency production of the petroleum industry.
Gas storage in shale pore system: A review of the mechanism, control and assessment

In the past 15 years, the shale gas revolution and large-scale commercial developments in the United States have driven the exploration and development of shale plays worldwide. Among many factors affecting shale gas exploration potential, the gas-bearing properties of shale (quantity, storage state, composition) and their controlling factors are the essential research attracting wide attention in the academic community. This paper reviews the research progress on the retention mechanism, influencing factors, and evaluation methods for resource potential of the shale gas system, and proposes further research directions. Sorption is the main mechanism of gas retention in organic-rich shales; the gas is mainly stored in nanopores of shale in free and sorption states. The presence of water and nonhydrocarbon gases in pores can complicate the process and mechanism of methane (CH_4) sorption, and the related theoretical models still need further development. The in-situ gas content and gasbearing properties of shale are governed by the geological properties (organic matter abundance, kerogen type, thermal maturity, mineral composition, diagenesis), the properties of fluids in pores (water, CH_4, non-hydrocarbon gases), and geological conditions (temperature, pressure, preservation conditions) of the shale itself. For a particular basin or block, it is still challenging to define the main controlling factors, screen favorable exploration areas, and locate sweet spots. Compared to marine shales with extensive research and exploration data, lacustrine and marine-continental transitional shales are a further expanding area of investigation. Various methods have been developed to quantitatively characterize the in-situ gas content of shales, but all these methods have their own limitations, and more in-depth studies are needed to accurately evaluate and predict the in-situ gas content of shales, especially shales at deep depth.
Lacustrine shale oiliness influenced by diabase intrusions in the Paleogene Funing Formation, Subei Basin, China

The research on the correlation between hydrocarbon accumulations and magmatic activities has always attracted aroused much wide attention. Existing research has primarily the hydrocarbon generations capability of source rocks and the quality of reservoirs by diabase intrusions. whereas, rare systematic research has been conducted on the oiliness and enrichment mechanism. To be specific, the diabase intrusive zone, the contact metamorphic zone and the normal shale zone of the Funing Formation in the Gaoyou Sag, Subei Basin were taken as the object of this study. Moreover, in this study, the hydrocarbon generation quality, reservoir quality, and oil-bearing quality of diabase-metamorphic zone-normal shale were evaluated using X-ray diffractions, argon ion polishing-field emission scanning electron microscope, energy spectrum, rock slice/light-sheet microscopic observations, organic geochemical tests, N2 gas adsorption and 2D NMR tests. The results indicated that the intrusive zone, the metamorphic zone, and the normal zone were formed in order by the degree of effect of diabase intrusions. Secondly, the oil content of different parts exhibited significant heterogeneity due to the baking effect of diabase, and the metamorphic zone had the significantly better oil-bearing nature than the intrusive zone. Lastly, a distribution model was proposed for the diabase intrusive zone-metamorphic zone-normal surrounding rock zone.
A new approach for flow simulation in complex hydraulic fracture morphology and its application: Fracture connection element method

Efficient flow simulation and optimization methods of hydraulic fracture morphology in unconventional reservoirs are effective ways to enhance oil/gas recovery. Based on the connection element method (CEM) and distribution of stimulated reservoir volume, the complex hydraulic fracture morphology was accurately described using heterogeneous node connection system. Then a new fracture connection element method (FCEM) for fluid flow in stimulated unconventional reservoirs with complex hydraulic fracture morphology was proposed. In the proposed FCEM, the arrangement of dense nodes in the stimulated area and sparse nodes in the unstimulated area ensures the calculation accuracy and efficiency. The key parameter, transmissibility, was also modified according to the strong heterogeneity of stimulated reservoirs. The finite difference and semi-analytical tracking were used to accurately solve the pressure and saturation distribution between nodes. The FCEM is validated by comparing with traditional numerical simulation method, and the results show that the bottom hole pressure simulated by the FCEM is consistent with the results from traditional numerical simulation method, and the matching rate is larger than 95%. The proposed FCEM was also used in the optimization of fracturing parameters by coupling the hydraulic fracture propagation method and intelligent optimization algorithm. The integrated intelligent optimization approach for multi-parameters, such as perforation number, perforation location, and displacement in hydraulic fracturing is proposed. The proposed approach was applied in a shale gas reservoir, and the result shows that the optimized perforation location and morphology distribution are related to the distribution of porosity/permeability. When the perforation location and displacement are optimized with the same fracture number, NPV increases by 70.58%, which greatly improves the economic benefits of unconventional reservoirs. This work provides a new way for flow simulation and optimization of hydraulic fracture morphology of multi-fractured horizontal wells in unconventional reservoirs.
Saturation-excess overland flow in the European loess belt: An underestimated process?

A major challenge in runoff and soil erosion modelling is the adequate representation of the most relevant processes in models while avoiding over parameterization. In the European loess belt, progressive soil crusting during rainfall events, resulting in infiltration-excess runoff, is usually considered the dominant process generating runoff on catchments covered with silty soils. Saturation-excess may also occur and affect their runoff and erosion behavior. However, saturation-excess runoff occurrence and quantification have rarely been performed and is usually not taken into account when modelling runoff and erosion in these environments. Accordingly, a continuous simulation of the Austreberthe catchment (214 km~2), located in the European loess belt (Normandy, France), was conducted with the new Water and Sediment (WaterSed)model over 12 years, corresponding to more than 780 individual rainfall events, at a 25 m spatial resolution. The inter-annual variability of runoff and erosion was closely linked to the number of intense events per year and their distribution through the year. The model was properly calibrated over a representative set of 35 rainfall events, considering either infiltration-excess and/or saturation-excess runoff. It was also able to reproduce the measured runoff volume for most of the monitoring period. However, the three years with most rainfall were adequately modelled only including saturation-excess runoff. An analysis performed at the seasonal scale revealed that saturation was modelled in the catchment during almost all of the modelling period, suggesting the importance of this often overlooked process in current modelling attempts.
Nanoengineering Metal-Organic Frameworks and Derivatives for Electrosynthesis of Ammonia

Electrocatalytic synthesis under mild conditions has become increasingly important as one of the practical alternatives for industrial applications, especially for the green ammonia ( NH_3)industry. A properly engineered electrocatalyst plays a vital role in the realization of superior catalytic performance. Among various types of promising nanomaterials, metal-organic frameworks (MOFs)are competitive candidates for developing efficient electrocatalytic NH_3 synthesis from simple nitrogen-containing molecules or ions, such as N_2 and NO_3~-. In this review, recent advances in the development of electrocatalysts derived from MOFs for the electrosynthesis of NH_3 are collected, categorized, and discussed, including their application in the N_2 reduction reaction (NRR)and the NO_3~- reduction reaction ( NO_3RR). Firstly, the fundamental principles are illustrated, such as plausible mechanisms of NH_3 generation from N_2 and NO_3~-, the apparatus of corresponding electrocatalysis, parameters for evaluation of reaction efficiency, and detection methods of yielding NH_3. Then, the electrocatalysts for NRR processes are discussed in detail, including pristine MOFs, MOF-hybrids, MOF-derived N-doped porous carbons, single atomic catalysts from pyrolysis of MOFs, and other MOF-related materials. Subsequently, MOF-related NO_3RR processes are also listed and discussed. Finally, the existing challenges and prospects for the rational design and fabrication of electrocatalysts from MOFs for electrochemical NH_3 synthesis are presented, such as the evolution of investigation methods with artiflcial intelligence, innovation in synthetic methods of MOF-related catalysts, advancement of characterization techniques, and extended electrocatalytic reactions.
Perturbation-driven echo-like superfluorescence in perovskite superlattices

The collective response of macroscopic quantum states under perturbation is widely used to study quantum correlations and cooperative properties,such as defect-induced quantum vortices in Bose-Einstein condensates and the non-destructive scattering of impurities in superfluids.Superfluorescence (SF),as a collective effect rooted in dipole-dipole cooperation through virtual photon exchange,leads to the macroscopic dipole moment (MDM) in high-density dipole ensembles.However,the perturbation response of the MDM in SF systems remains unknown.Echo-like behavior is observed in a cooperative exciton ensemble under a controllable perturbation,corresponding to an initial collapse followed by a revival of the MDM.Such a dynamic response could refer to a phase transition between the macroscopic coherence regime and the incoherent classical state on a time scale of 10 ps.The echo-like behavior is absent above 100 K due to the instability of MDM in a strongly dephased exciton ensemble.Experimentally,the MDM response to perturbations is shown to be controlled by the amplitude and injection time of the perturbations.
长效生长抑素类似物治疗垂体促甲状腺激素腺瘤1例并文献复习

垂体促甲状腺激素腺瘤(thyrotropin-secreting pituitary adenomas,TSHomas)是功能性垂体腺瘤的一种,占所有功能性垂体瘤的0.5~3.0%,是甲状腺功能亢进的罕见原因。以血清游离甲状腺激素(serum free thyroid hormones,FT4)、血清游离三碘甲腺原氨酸(serum free triiodothyronine,FT3)水平增高、TSH水平不被抑制,并伴有不同程度甲状腺毒症表现和甲状腺肿为临床特征。其常被误诊为原发性甲亢,从而误治,导致病情加重。经蝶窦肿瘤切除术是此类患者的首选根治性治疗,但部分患者因各种原因不愿或不适宜手术治疗;这时候需考虑药物治疗,而作为首选的生长抑素类似物(somatosatin analogue,SSA),其剂量及疗程,尚未见明确的指南推荐。
侧脑室后角神经鞘瘤1例

讨论神经鞘瘤属于良性肿瘤,起源于神经鞘膜的施旺细胞,好发于头、颈部和四肢。颅内神经鞘瘤约占中枢神经系统肿瘤的8%,多发生于桥小脑角区,脑室内神经鞘瘤极其罕见,仅少数个案报道[1]。中枢神经纤维周围无施旺细胞组成的神经鞘膜,因此一般不会出现神经鞘瘤,当神经鞘瘤发生于脑实质或侧脑室内时即被称为异位神经鞘瘤,其起源目前主要存在四种推测[2]:一是脑室内神经鞘瘤是由于异位的神经嵴细胞向脑室迁移引起;二是室管膜下、脉络丛及脑内血管存在由施旺细胞包裹的神经,所以脉络丛或室管膜下的这些施旺细胞存在转化为神经鞘瘤可能[3];三是由于组织损伤而导致的多能性间充质细胞转化为施旺细胞,四是大脑中胚层来源的间充质软脑膜细胞转化为施旺细胞[1]。而本例发生于左侧脑室后角,术中见肿瘤与脉络丛分界不清楚,关系密切,因此推测肿瘤可能起源于脑室脉络丛周围的神经[4]。病理上,脑室内神经鞘瘤与脑外神经鞘瘤表现相同,主要由梭形细长的细胞和丰富的嗜酸性细胞组成,无明显核分裂象,可以看到明显的Antoni A区,表现为排列有序的细胞丰富的束状带区域,以及Antoni B区,主要为网状细胞,细胞排列疏松,散在分布[1,5-6]。免疫组化分析显示S100阳性以及Sox-10阳性提示为神经鞘瘤[1,7]。一般来说,这些肿瘤通常生长缓慢,很少发生恶性转化,但恶性脑室内神经鞘瘤已有报道[8]。该例侧脑室神经鞘瘤体积较小,位于侧脑室后角,边界清楚,呈分叶状,MRI主要表现为信号不均匀,T1WI呈现稍低信号,T2WI实性部分为等信号,囊性部分为高信号,伴有囊变和周围水肿,囊壁薄而均匀,增强扫描明显强化,与文献报道表现相似[9-10]。本例加做了MR功能成像,扩散加权成像表现为轻度弥散受限,磁敏感加权成像示其内有点状低信号影,推测可能为肿瘤内钙化或微小出血。MRS中NAA峰缺失,提示肿瘤来源于脑实质外,对肿瘤的来源有一定帮助,灌注中CBV表现为轻度增高,提示肿瘤血供较丰富,手术时需要防止出血。侧脑室神经鞘瘤极易误诊,应与以下侧脑室常见肿瘤鉴别,首先是脑膜瘤,脑膜瘤T2WI信号一般为等或者稍高信号,增强扫描明显均匀强化,囊变坏死少见;其次是室管膜瘤,室管膜瘤瘤内可出现广泛钙化或出血,T2WI信号较神经鞘瘤较低,强化程度亦低于神经鞘瘤;最后是脉络从乳头状瘤,脉络丛乳头状瘤边缘表现为颗粒状,形态上可以比较好鉴别,但信号上比较类似,增强扫描亦表现为明显强化,难以与神经鞘瘤进行鉴别[1],最终确诊依赖病理检查。
酶联免疫吸附测定法与PCR仪检测在乙型肝炎诊断中的临床应用

目的探讨酶联免疫吸附测定(ELISA)与实时荧光定量PCR仪检测在乙型肝炎诊断中的应用。方法选择2020年10月至2021年10月杭州市富阳区第一人民医院收治的320例乙型肝炎患者作为研究对象。采用ELISA法检查患者的血清标志物表达水平,用实时荧光定量PCR法检测乙型肝炎病毒(HBV)-DNA表达水平。根据ELISA结果将320例乙型肝炎患者分为大三阳组(164例)和小三阳组(156例)。比较两组患者第一次的ELISA检出结果,HBV-DNA阴性、阳性患者例数以及平均HBV-DNA对数含量。根据HBV-DNA检出结果将320例乙型肝炎患者分为HBV-DNA阴性组(134例)和HBV-DNA阳性组(186例),比较两组患者ELISA法和PCR仪检出结果。最后,探讨两种检查方式在HBV中的诊断价值。结果大三阳组HBV表面抗原(HBsAg)、HBV e抗原(HBeAg)、HBV核心抗体(HBcAb)阳性,HBsAg、HBeAg阳性,HBV-DNA阳性患者占比及平均HBV-DNA对数含量均高于小三阳组;HBsAg、HBV e抗体(HBeAb)、HBcAb阳性,HBsAg、HBeAb阳性患者占比均显著低于小三阳组(P均<0.05)。HBV-DNA阴性组HBsAg、HBeAg、HBcAb阳性患者占比低于HBV-DNA阳性者,HBsAg、HBeAb、HBcAb阳性患者占比高于HBV-DNA阳性组(P均<0.05)。将肝组织病理学检查结果作为金标准,320例患者中活动期171例(53.44%),非活动期149例(46.56%)。ELISA法的特异度(100.00% vs. 89.93%,χ~2 = 10.604,P= 0.001)、阳性预测值(100.00% vs. 91.94%, χ~2 = 6.444,P = 0.011)均高于PCR仪,敏感度(91.81% vs. 100.00%,χ~2 = 6.582,P = 0.010)、阴性预测值(91.41% vs. 100.00%,χ~2 = 7.007,P=0.008)均低于PCR仪。两种检查方式的确诊率比较,差异无统计学意义(95.62% vs. 95.31%, χ~2 = 0.054,P= 0.817)。结论HBV-DNA水平较高者的抗原阳性率更高,不同乙型肝炎患者的ELISA和实时荧光定量PCR仪检出结果存在显著差异,两种检查方式在乙型肝炎检查诊断中各有一定优劣势,检出结果可相互补充解释,利于医生对HBV感染情况及复制、预后情况进行更精准的判断。
Microfluidic fuel cells integrating slanted groove micro-mixers to terminate growth of depletion boundary layer thickness

Because of potential high energy densities, microfluidic fuel cells can serve as micro-scale power sources. Because microfluidic fuel cells typically operate in the co-laminar flow regime to enable a membrane-less design, they generally suffer from severe mass transfer limitations with respect to diffusion transport. To address this issue, a novel channel design that integrates slanted groove micro-mixers on the side walls of the channel is proposed. Numerical modeling on the design of groove micro-mixers and grooveless design demonstrates a mass transfer enhancement that has a 115% higher limiting current density and well-controlled convective mixing between the oxidant and the fuel streams with the use of slanted groove micro-mixers. Moreover, the growth of the thickness of the depletion boundary layer is found to be terminated within approximately 2 mm from the channel entrance, which is distinct from the constantly growing pattern in the grooveless design. In addition, a simplified mass transfer model capable of modeling the mass transfer prFocess with the presence of the transverse secondary flow is developed. Further, a dimensionless correlation is derived to analyze the effects of the design parameters on the limiting current density. The present theoretical study paves the way towards an optimal design of a microfluidic fuel cell integrating groove micro-mixers.
Structural design of organic battery electrode materials: from DFT to artificial intelligence

Redox-active organic materials are emerging as the new playground for the design of new exciting battery materials for rechargeable batteries because of the merits including structural diversity and tunable electrochemical properties that are not easily accessible for the inorganic counterparts. More importantly, the sustainability developed by using naturally abundant chemical elements (C, H, N, O and S) makes them as an ideal alternative material for Li-ion batteries (LIBs). However, the identification and screening of proper organic materials is still challenging in the past decades. Assisted by the artificial intelligence, this review will give a summary of the theoretical design aspects of redox-active organic materials from densityfunctional theory (DFT) to machine learning (ML) methods in the past two decades, with a particular emphasis on the calculation method to predict the chemical/electrochemical stability and reversibility. This review will also analyze and discuss the challenges and perspectives for the development of organic battery materials.
Activating weak electrophiles to break nonpolar C-C bonds with electric fields

Electrophilic aromatic substitution (EAS) is a vital chemical reaction in organic chemistry that involves replacing substituent on an aromatic ring by an electrophile. Despite its widespread industrial applications in the production of substituted aromatic compounds, the reaction typically requires harsh reaction conditions, such as high temperature and potent Lewis acid catalysts, to activate the electrophile due to the stability of the aromatic ring [1].
Red/NIR emission carbonized polymer dots based on citric acid-benzoylurea and their application in lymph nodes imaging

Identification of lymph nodes (LNs) is critical for studies of the structure, the role in disease development, and the efficacy of disease treatment. Carbonized polymer dots (CPDs) are expected to be potential LNs-targeted imaging agents due to their excellent properties with special structure, better photoluminescence (PL) and great biocompatibility. Herein, a red/near infrared (NIR) emission CPDs (RCPDs) with one and two-photon bioimaging based on citric acid (CA) and benzoylurea (BU) are prepared. Notably, the RCPDs are capable of targeting LNs for imaging. Lymphocyte homing has been demonstrated to be the cellular mechanism of RCPDs target LNs imaging. This work has developed a new nanomaterial for targeted imaging of LNs, while the biological applications of CPDs have been expanded and deepened.
Halide/sulfide composite solid-state electrolyte for Li-anode based all-solid-state batteries

Li_2ZrCl_6 (LZC) solid-state electrolytes (SSEs) have been recognized as a candidate halide SSEs for allsolid- state Li batteries (ASSLBs) with high energy density and safety due to its great compatibility with 4 V-class cathodes and low bill-of-material (BOM) cost. However, despite the benefits, the poor chemical/ electrochemical stability of LZC against Li metal causes the deterioration of Li/LZC interface, which has a detrimental inhibition on Li~+ transport in ASSLBs. Herein, we report a composite SSE combining by LZC and argyrodite buffer layer (Li_6PS_5Cl, LPSC) that prevent the unfavorable interaction between LZC and Li metal. The Li/LPSC-LZC-LPSC/Li symmetric cell stably cycles for over 1000 h at 0.3 mA/cm~2 (0.15 mAh/cm~2) and has a high critical current density (CCD) value of 2.1mA/cm~2 at 25 °C. Under high temperature (60 °C) which promotes the reaction between Li and LZC, symmetric cell fabricated with composite SSE also display stable cycling performance over 1200 h at 0.3 mAh/cm~2. Especially, the Li/NCM ASSLBs fabricated with composite SSE exhibit a high initial coulombic efficiency, as well as superior cycling and rate performance. This simple and efficient strategy will be instrumental in the development of halidebased high-performance ASSLBs.
The dispersion of iron nitride among porous carbon fibers to enhance redox conversion for high-performance zinc-iodine batteries

To address the insulating nature and the shuttle effect of iodide species that would deteriorate the battery performance, herein iron nitride is well-dispersed into porous carbon fibers with good flexibility via the facile electrospinning method and subsequent pyrolysis. The polyacrylonitrile precursor introduces the nitrogen doping under thermal treatment while the addition of iron acetylacetonate leads to the insitu formation of iron nitride among the carbon matrix. The crucial pyrolysis procedure is adjustable to determine the hierarchical porous structure and final composition of the novel carbon fiber composites. As the self-supporting electrode for loading iodine, the zinc-iodine battery exhibits a large specific capacity of 214 mAh/g and good cycling stability over 1600 h. In the combination of in-situ/ex-situ experimental measurements with the theoretical analysis, the in-depth understanding of intrinsic interaction between composited support and iodine species elucidates the essential mechanism to promote the redox kinetics of iodine via the anchoring effect and electrocatalytic conversion, thus improving cycling life and rate performance. Such fundamental principles on the basic redox conversion of iodine species would evoke the rational design of advanced iodine-based electrodes for improving battery performance.