mlsa-iai-msu-lab/ru_sci_bench_zho_cite_reranking huggingface dataset:
The Effect of Urban Agglomeration Expansion on PM_(2.5) Concentrations:Evidence from a Quasi-natural Experiment

This study constructs a quasi-natural experiment based on the expansion of the Yangtze River Delta urban agglomeration (YRDUA) of China in 2010 to investigate the impact and inner mechanism of urban agglomeration expansion on fine particulate matter (PM_(2.5)) concentrations through propensity scores in difference-in-differences models (PSM-DID) using panel data from 286 prefecturelevel cities in China from 2003 to 2016.The results show that 1) urban agglomeration expansion contributes to an overall decrease in PM_(2.5) concentration,which is mainly achieved from the original cities.For the new cities,on the other hand,the expansion significantly increases the local PM_(2.5) concentration.2) In the long term,the significant influence of urban agglomeration expansion on PM_(2.5) concentration lasts for three years and gradually decreases.A series of robustness tests confirm the applicability of the PSM-DID model.3) Cities with weaker government regulation,a better educated population and higher per capita income present stronger PM_(2.5) reduction effects.4) Urban agglomeration expansion affects the PM_(2.5) concentration mainly through industrial transfer and population migration,which cause a decrease in the PM_(2.5) concentration in the original cities and an increase in the PM_(2.5) concentration in the new cities.Corresponding policy suggestions are proposed based on the conclusions.
Cropping leads to loss of soil organic matter: How can we prevent it?

Soil organic matter(SOM), which associates carbon(C)to key plant nutrients, has been stored in soil for thousands of years. Scientists have long recognised its positive impact on key environmental functions such as food production and climate regulation. As soon as a virgin land(forest or grassland)is cultivated, there is a tendency for the soil to lose its SOM, and we still largely misunderstand the underlying mechanisms, leading to inappropriate decisions being taken to fight soil, climate, and overall ecosystem degradation.
Enhancement Mechanism of Cerium in 316LN Austenitic Stainless Steel During Creep at 700 °C

Effect of cerium (Ce) on creep strength and microstructure of 316LN austenitic stainless steel (316LN steel) at 700 °C/150 MPa was investigated by scanning electron microscopy (SEM), scanning transmission electron microscopy (STEM) and thermodynamic calculations. Addition of 0.032 wt% Ce to 316LN steel results in a prominent increase in creep life from 313 to 556 h. Ce enriches in titanium nitride nanoparticles, increases slightly the activity and diffusion coefficient of Mo, and facilitates the formation of fine and dense intragranular Laves phase precipitates. Thus the creep strength is remarkably enhanced by Ce addition in 316LN steel through the intragranular Laves phase precipitation strengthening. It reveals a new insight into the improvement effect of rare earth (RE) elements such as Ce on creep strength of austenitic stainless steels, which inspired the design of RE-microalloying heat-resistant steels.
FISH-based "pan" and "core" karyotypes reveal genetic diversification of Roegneria ciliaris

The genus Roegneria was firstly established with Roegneria caucasica C. Koch as the model species. Being the largest genera in the tribe Triticeae (Poaceae), Roegneria includes 130 species mainly distributed in the north temperate zone. There are 70 Roegneria species and 22 variants, which are widely distributed in different regions of China (Lei, 2018). The diversified morphology of Roegneria species has caused controversy in their taxonomy. It has been argued whether Roegneria species should be included in the genus Elymus or considered as an independent genus (Lei et al., 2018). The investigation of the cytological and genomic feature would help to clarify the taxonomic placement of Roegneria.
The degradation of perovskite precursor

Perovskite solar cells(PSCs)are taking a leading position in thin-film optoelectronic devices due to their excellent optical, physical and electrical properties[1-4]. Nevertheless, the stability issue of metal halide perovskite precursor solution severely retards the future industrialization of PSCs[5-7]. In stoichiometry, slight solution composition change will induce severe degradation of device performance. Generally, the widely-used formamidine-based perovskite(FAPbI_3, FA = CHN_2H_4~+)with ideal bandgap(~1.48 eV)have two crystal structures: non-perovskite yellow δ-phase and three-dimensional photosensitive perovskite black α-phase[8-10]. Owing to the large size of FA~+ cation, black α-phase perovskite can easily transform into yellow δ-phase non-perovskite[11]. At present, introducing CH_3NH_3 +(MA~+)as a "transition agent" to help FA~+-based perovskite recrystallize vertically and yield a stable photoactive α-phase is widely adopted[12]. Deprotonation of organic amine-organic cation compounds in mixed organic cation precursor can cause precursor degradation. Iodide oxidation can also deteriorate device performance and repeatability of PSCs.
Perovskite/organic tandem solar cells

In recent years, the power conversion efficiency(PCE)for single-junction perovskite solar cells(PSCs)has reached 25.7%, approaching the Shockley-Queisser limit(S-Q limit). Further enhancing efficiency is challenging. Tandem solar cells offer an effective way to further increase the efficiency beyond S-Q limit. Currently, perovskite/silicon tandem solar cells(TSCs)have achieved a PCE of 31.3%. However, the complicated preparation processes and high cost hinder their commercialization application. In contrast, thin-film perovskite/organic TSCs have the advantages of solution processability, low cost, and flexibility, making them to be promising candidates for the next-generation photovoltaic technology.
Inosine:A broad-spectrum anti-inflammatory against SARS-CoV-2 infection-induced acute lung injury via suppressing TBK1 phosphorylation

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-induced cytokine storms constitute the primary cause of coronavirus disease 19 (COVID-19) progression,severity,criticality,and death.Glucocorticoid and anti-cytokine therapies are frequently administered to treat COVID-19,but have limited clinical efficacy in severe and critical cases.Nevertheless,the weaknesses of these treatment modalities have prompted the development of anti-inflammatory therapy against this infection.We found that the broad-spectrum anti-inflammatory agent inosine downregulated proinflammatory interleukin (IL)-6,upregulated anti-inflammatory IL-10,and ameliorated acute inflammatory lung injury caused by multiple infectious agents.Inosine significantly improved survival in mice infected with SARS-CoV-2.It indirectly impeded TANK-binding kinase 1 (TBK1) phosphorylation by binding stimulator of interferon genes (STING) and glycogen synthase kinase-3β (GSK3β),inhibited the activation and nuclear translocation of the downstream transcription factors interferon regulatory factor (IRF3) and nuclear factor kappa B (NF-kB),and downregulated IL-6 in the sera and lung tissues of mice infected with lipopolysaccharide (LPS),H1N1,or SARS-CoV-2.Thus,inosine administration is feasible for clinical antiinflammatory therapy against severe and critical COVID-19.Moreover,targeting TBK1 is a promising strategy for inhibiting cytokine storms and mitigating acute inflammatory lung injury induced by SARSCoV- 2 and other infectious agents.
Editing landscapes: Experimental frameworks for territorial-based robotic fabrication

With the advent of on-site robotic tools, they can be deployed for editing landscapes e defined as the modulation of grounds with a high degree of sensitivity to matter and form. The paper contributes a theoretical grounding and two experimental frameworks for territorial-based robotic fabrication. Each experimental framework supports a robotic capacity for informing and forming grounds, demonstrated in relation to extreme territories using simulation setups. The frameworks include (1) a layer-sensitive modulation for protecting topsoil and (2) a performance-based robotic forming for creating wind barriers. For each framework, the paper proposes a setup, an exploration method, and an evaluation process. Drawing on the presented frameworks, the paper outlines three potentials of territorialbased robotic fabrication: the capability to modulate grounds vertically, the possibility to perform cross-scalar forming, and the opportunity to form dynamic, performative landscapes. The paper concludes with potential ways in which robotic tools could be leveraged for advancing precise landscape editing across scales.
Alkaloids as potential antivirals. A comprehensive review

Alkaloids are a diverse group of natural phytochemicals. These phytochemicals in plants provide them protection against pests, and herbivorous organisms and also control their development. Numerous of these alkaloids have a variety of biological effects, and some have even been developed into medications with different medicinal properties. This review aims to provide a broad overview of the numerous naturally occurring alkaloids (isolated from both terrestrial and aquatic species) along with synthetically produced alkaloid compounds having prominent antiviral properties. Previous reviews on this subject have focused on the biological actions of both natural and synthetic alkaloids, but they have not gone into comprehensive detail about their antiviral properties. We reviewed here several antiviral alkaloids that have been described in the literature in different investigational environments i.e. (in-vivo, in-ovo, in-vitro, and in-silico), and found that these alkaloid compounds have significant antiviral properties against several infectious viruses. These alkaloids repressed and targeted various important stages of viral infection at nontoxic doses while some of the alkaloids reported here also exhibited comparable inhibitory activities to commercially used drugs. Overall, these anti-viral effects of alkaloids point to a high degree of specificity, implying that they could serve as effective and safe antiviral medicines if further pursued in medicinal and pharmacological investigations.
A Review on Active Customers Participation in Smart Grids

Industrial, commercial, and residential facilities are progressively adopting automation and generation capabilities. By having flexible demand and renewable energy generation, traditional passive customers are becoming active participants in electric power system operations. Through profound coordination among grid operators and active customers, the facilities' capability for demand response(DR) and distributed energy resource(DER) management will be valuable asset for ancillary services(ASs). To comply with the increasing demand and flexible energy, utilities urgently require standards, regulations, and programs to efficiently handle load-side resources without trading off stability and reliability. This study reviews different types of customers' flexibilities for DR, highlighting their capabilities and limitations in performing local ancillary services(LASs), which should benefit the power grid by profiting from it through incentive mechanisms. Different financial incentives and techniques employed around the world are presented and discussed. The potential barriers in technical and regulatory aspects are successfully identified and potential solutions along with future guidance are discussed.
Two-stage Optimal Dispatching of AC/DC Hybrid Active Distribution Systems Considering Network Flexibility

The increasing flexibility of active distribution systems(ADSs) coupled with the high penetration of renewable distributed generators(RDGs) leads to the increase of the complexity. It is of practical significance to achieve the largest amount of RDG penetration in ADSs and maintain the optimal operation. This study establishes an alternating current(AC)/direct current(DC) hybrid ADS model that considers the dynamic thermal rating, soft open point, and distribution network reconfiguration(DNR). Moreover, it transforms the optimal dispatching into a second-order cone programming problem. Considering the different control time scales of dispatchable resources, the following two-stage dispatching framework is proposed. ① The day-ahead dispatch uses hourly input data with the goal of minimizing the grid loss and RDG dropout. It obtains the optimal 24-hour schedule to determine the dispatching plans for DNR and the energy storage system. ② The intraday dispatch uses 15 min of input data for 1-hour rolling-plan dispatch but only executes the first 15 min of dispatching. To eliminate error between the actual operation and dispatching plan, the first 15 min is divided into three 5-min step-by-step executions. The goal of each step is to trace the tie-line power of the intraday rolling-plan dispatch to the greatest extent at the minimum cost. The measured data are used as feedback input for the rolling- plan dispatch after each step is executed. A case study shows that the comprehensive cooperative ADS model can release the line capacity, reduce losses, and improve the penetration rate of RDGs. Further, the two-stage dispatching framework can handle source-load fluctuations and enhance system stability.
Multi-stage Co-planning Model for Power Distribution System and Hydrogen Energy System Under Uncertainties

The increased deployment of electricity-based hydrogen production strengthens the coupling of power distribution system(PDS) and hydrogen energy system(HES). Considering that power to hydrogen(PtH) has great potential to facilitate the usage of renewable energy sources(RESs), the coordination of PDS and HES is important for planning purposes under high RES penetration. To this end, this paper proposes a multi-stage co-planning model for the PDS and HES. For the PDS, investment decisions on network assets and RES are optimized to supply the growing electric load and PtHs. For the HES, capacities of PtHs and hydrogen storages(HSs) are optimally determined to satisfy hydrogen load considering the hydrogen production, tube trailer transportation, and storage constraints. The overall planning problem is formulated as a multistage stochastic optimization model, in which the investment decisions are sequentially made as the uncertainties of electric and hydrogen load growth states are revealed gradually over periods. Case studies validate that the proposed co-planning model can reduce the total planning cost, promote RES consumption, and obtain more flexible decisions under long-term load growth uncertainties.
A Mixed-integer Linear Programming Model for Defining Customer Export Limit in PV-rich Low-voltage Distribution Networks

A photovoltaic(PV)-rich low-voltage(LV) distribution network poses a limit on the export power of PVs due to the voltage magnitude constraints. By defining a customer export limit, switching off the PV inverters can be avoided, and thus reducing power curtailment. Based on this, this paper proposes a mixed-integer nonlinear programming(MINLP) model to define such optimal customer export. The MINLP model aims to minimize the total PV power curtailment while considering the technical operation of the distribution network. First, a nonlinear mathematical formulation is presented. Then, a new set of linearizations approximating the Euclidean norm is introduced to turn the MINLP model into an MILP formulation that can be solved with reasonable computational effort. An extension to consider multiple stochastic scenarios is also presented. The proposed model has been tested in a real LV distribution network using smart meter measurements and irradiance profiles from a case study in the Netherlands. To assess the quality of the solution provided by the proposed MILP model, Monte Carlo simulations are executed in OpenDSS, while an error assessment between the original MINLP and the approximated MILP model has been conducted.
Economic Scheduling of Gaseous-liquid Hydrogen Generation and Storage Plants Considering Complementarity of Multiple Products

The accessible and convenient hydrogen supply is the foundation of successful materialization for hydrogen-powered vehicles(HVs). This paper proposes a novel optimal scheduling model for gaseous-liquid hydrogen generation and storage plants powered by renewable energy to enhance the economic feasibility of investment. The gaseous-liquid hydrogen generation and storage plant can be regarded as an energy hub to supply concurrent service to both the transportation sector and ancillary market. In the proposed model, the power to multi-state hydrogen(P2MH) process is analyzed in detail to model the branched hydrogen flow constraints and the corresponding energy conversion relationship during hydrogen generation, processing, and storage. To model the coupling and interaction of diverse modules in the system, the multi-energy coupling matrix is developed, which can exhibit the mapping of power from the input to the output. Based on this, a multi-product optimal scheduling(MPOS) algorithm considering complementarity of different hydrogen products is further formulated to optimize dispatch factors of the energy hub system to maximize the profit within limited resources. The demand response signals are incorporated in the algorithm to further enhance the operation revenue and the scenario-based method is deployed to consider the uncertainty. The proposed methodology has been fully tested and the results demonstrate that the proposed MPOS can lead to a higher rate of return for the gaseous-liquid hydrogen generation and storage plant.
Capacity Allocation of Hybrid Power System with Hot Dry Rock Geothermal Energy, Thermal Storage, and PV Based on Game Approaches

This study utilizes hot dry rock(HDR) geothermal energy, which is not affected by climate, to address the capacity allocation of photovoltaic(PV)-storage hybrid power systems(HPSs) in frigid plateau regions. The study replaces the conventional electrochemical energy storage system with a stable HDR plant assisted by a flexible thermal storage(TS) plant. An HPS consisting of an HDR plant, a TS plant, and a PV plant is proposed. Game approaches are introduced to establish the game pattern model of the proposed HPS as the players. The annualized income of each player is used as the payoff function. Furthermore, non-cooperative game and cooperative game approaches for capacity allocation are proposed according to the interests of each player in the proposed HPS. Finally, the proposed model and approaches are validated by performing calculations for an HPS in the Gonghe Basin, Qinghai, China as a case study. The results show that in the proposed non-cooperative game approach, the players focus only on the individual payoff and neglect the overall system optimality. The proposed cooperative game approach for capacity allocation improves the flexibility of the HPS as well as the payoff of each game player. Thereby, the HPS can better satisfy the power fluctuation rate requirements of the grid and increase the equivalent firm capacity(EFC) of PV plants, which in turn indirectly guarantees the reliability of grid operation.
Multi-period Two-stage Robust Optimization of Radial Distribution System with Cables Considering Time-of-use Price

In the existing multi-period robust optimization methods for the optimal power flow in radial distribution systems, the capability of distributed generators(DGs) to regulate the reactive power, the operation costs of the regulation equipment, and the current of the shunt capacitor of the cables are not considered. In this paper, a multi-period two-stage robust scheduling strategy that aims to minimize the total cost of the power supply is developed. This strategy considers the time-ofuse price, the capability of the DGs to regulate the active and reactive power, the action costs of the regulation equipment, and the current of the shunt capacitors of the cables in a radial distribution system. Furthermore, the numbers of variables and constraints in the first-stage model remain constant during the iteration to enhance the computation efficiency. To solve the second- stage model, only the model of each period needs to be solved. Then, their objective values are accumulated, revealing that the computation rate using the proposed method is much higher than that of existing methods. The effectiveness of the proposed method is validated by actual 4-bus, IEEE 33-bus, and PG 69-bus distribution systems.
中国成人桡骨远端骨折诊疗指南(2023)

爱尔兰学者Abraham Colles于1814年首次报道了一种伸直型桡骨远端骨折,并详细描述了腕部损伤所形成的"餐叉手"畸形,该骨折后被命名为Colles骨折,沿用至今。此后,以人名命名的桡骨远端骨折如Simth骨折、Barton骨折等相继出现,针对桡骨远端骨折的研究也随时间不断发展深化。但关于桡骨远端骨折的诊断、治疗及康复方案等许多基本问题仍未完全解答。为了规范桡骨远端骨折的诊断流程,指导临床医师确定适合的治疗方案,我们参考国际成人桡骨远端骨折的系统回顾研究、临床信息和公认的诊治方法,编写制订了本临床诊疗指南,以期切实提升成人桡骨远端骨折的诊疗水平。
新年新思考:我国高血压诊断标准之争何去何从?

大家好,“新年新思考”转眼已经十一个年头了,在2023年新年来临之际,我想最应该谈的是我国高血压诊断标准问题,因为这是近一段时间高血压领域的讨论热点,也是争议最大的问题。2022年11月13日,由国家心血管病中心、中国医师协会、中国医师协会高血压专业委员会、中华医学会心血管病学分会、海峡两岸医药卫生交流协会高血压专业委员会联合制定的《中国高血压临床实践指南》(临床实践指南)在网上发布,针对44个关键临床问题提出了相对应的推荐意见,其中争议最大的是涉及高血压诊断标准的推荐意见:推荐我国高血压诊断标准下调为血压≥130/80 mm Hg (1 mm Hg=0.133 kPa)。该指南发布后立刻在全国引起广泛热议。一个学术文件发表后有如此大的轰动是很少有的,为什么?值得我们思考。
Discussion on pile axial load test methods and their applicability in cold regions

The measurement of pile axial load is of great significance to determining pile foundation design parameters such as skin friction and end bearing capacity and analyzing load transfer mechanisms. Affected by the temperature and ice content of frozen ground, the interface contact relationship between pile foundation and frozen soil is complicated, making pile axial load measurements more uncertain than that in non-frozen ground. Therefore, it is necessary to gain an in-depth understanding of the current pile axial load test methods. Four methods are systematically reviewed: vibrating wire sensors, strain gauges, sliding micrometers, and optical fiber strain sensors. At the same time, the applicability of the four test methods in frozen soil regions is discussed in detail. The first two methods are mature and commonly used. The sliding micrometer is only suitable for short-term measurement. While the Fiber Bragg grating (FBG) strain gauge meets the monitoring requirements, the Brillouin optical time-domain reflectometer (BOTDR) needs further verification. This paper aims to provide a technical reference for selecting and applying different methods in the pile axial load test for the stability study and bearing capacity assessment of pile foundations in cold regions.
乳腺结节旋切术后假性动脉瘤微波消融治疗二例

超声引导下乳腺旋切术是一种用于乳腺良性肿瘤的微创治疗技术,现已广泛使用。并发症很少见,其最常见的并发症是血肿,乳腺假性动脉瘤(breast pseudoaneurysm, BPA)则较为罕见。目前关于消融治疗BPA的相关文献报道更为罕见。笔者收集了2例患者,在乳腺旋切治疗后出现假性动脉瘤接受了超声引导下微波消融治疗。
经食管超声心动图诊断并监测左心耳结扎处血栓一例

综上,LAA结扎术后患者仍有再发血栓及栓塞的风险,TEE因其独特优势可实时动态显示血栓的部位、大小、形状及活动性,对临床医师调整抗凝药物的种类和剂量有指导意义。
Electrolyte perspective on stabilizing LiNi_(0.8)Co_(0.1)M_(10.1)O_2 cathode for lithium-ion batteries

Nickel-rich LiNi_(0.8)Co_(0.1)Mn_(0.1)O_2 (NCM811) is regarded as the promising cathode for lithium-ion batteries (LIBs). However, the challenges such as safety issues and poor cycling performance have seriously hindered its commercial applications. In order to overcome these difficulties, there has been extensive research and development of electrolyte modifications for high-energy-density LIBs with Ni-rich cathodes. Herein, this review introduces the research progress based on solvent additives,salt type additives and other electrolytes for LIBs with NCM811 cathode materials and discusses how they control the interface stability. In particular, some recommendations for further modification of enhancing electrolyte stability and improving NCM811 electrochemical properties are summarized and proposed, which put forward new design rules for the screening and customizing ideal electrolyte additives for high performance NCM811 cathode-based LIBs.