mlsa-iai-msu-lab/ru_sci_bench_zho_cite_reranking huggingface dataset:
A new combined framework for sustainable development using the DPSIR approach and numerical modeling

Relying on the conceptual DPSIR framework and MODFLOW analysis, this study used a mixed approach to produce groundwater resource management solutions for the Najafabad area in central Iran. According to DPSIR results,agricultural activities put the highest pressure on groundwater resources in this region. The results showed the effectiveness of reducing waterwithdrawal over 30 years in maintaining the aquifer in a state of equilibrium. The best scenario consisted of cutting down extraction by 10% over the said period. Output maps of the water table rise at the Najafabad aquifer clearly showed that the groundwater management scenario involving a 10% reduction ofwater withdrawal was the most effective solution, as itwould raise thewater level by 6.7 m. Regarding other scenarios, reducing cultivated area by 20% was found to raise the water table by 5.03 m on average,while cutting down water withdrawal by 5% increased the water table by 3.6 m, and a 10% reduction of the cultivated area resulted in a 1.85mrise. The combinedmodel proposed here can be used for similar aquifers and can aid decision-makers and managers.
Targeted sequencing supports morphology and embryo features in resolving the classification of Cyperaceae tribe Fuireneae s.l.

Molecular phylogenetic studies based on Sanger sequences have shown that Cyperaceae tribe Fuireneae s.l. is paraphyletic. However, taxonomic sampling in these studies has been poor, topologies have been inconsistent, and support for the backbone of trees has been weak. Moreover, uncertainty still surrounds the morphological limits of Schoenoplectiella, a genus of mainly small, amphicarpic annuals that was recently segregated from Schoenoplectus. Consequently, despite ample evidence from molecular analyses that Fuireneae s.l. might consist of two to four tribal lineages, no taxonomic changes have yet been made. Here, we use the Angiosperms353 enrichment panel for targeted sequencing to(i) clarify the relationships of Fuireneae s.l. with the related tribes Abildgaardieae, Eleocharideae, and Cypereae;(ii) define the limits of Fuireneae s.s., and(iii) test the monophyly of Fuireneae s.l. genera with emphasis on Schoenoplectus and Schoenoplectiella. Using more than a third of Fuireneae s.l. diversity, our phylogenomic analyses strongly support six genera and four major Fuireneae s.l. clades that we recognize as tribes: Bolboschoeneae stat.nov., Fuireneae s.s., Schoenoplecteae, and Pseudoschoeneae tr. nov. These results are consistent with morphological, micromorphological(nutlet epidermal cell shape), and embryo differences detected for each tribe. At the generic level, most sub‐Saharan African perennials currently treated in Schoenoplectus are transferred to Schoenoplectiella. Our targeted sequencing results show that these species are nested in Schoenoplectiella, and their treatment here is consistent with micromorphological and embryo characters shared by all Schoenoplectiella species. Keys to recognized tribes and genera are provided.
Recycled carbon degassed from the Emeishan plume as the potential driver for the major end-Guadalupian carbon cycle perturbations

Massive gas emissions(e.g., CO_2, CH_4 and SO_2)during the formation of large igneous provinces(LIPs)have been suggested as the primary cause of dramatic climatic change and the consequent ecological collapses and biotic crises. Thermogenic carbon of crustal sediments induced by intrusive magmatism throughout the LIPs is considered as the primary trigger for environmental catastrophe including mass extinction, as illustrated in the case of the Emeishan LIP in Southwest China. Herewe evaluate the Emeishan LIP to address the causal link between carbon degassing and environmental crises during the end-Guadalupian of Middle Permian. An assessment of the carbon flux degassed from recycled oceanic crust in the Emeishan plume shows that recycled oceanic crust contributed significantly to the carbon flux. Using evidence fromcarbonate carbon isotopic records at the Gualupian-Lopingian(G-L)boundary stratotype at Penglaitan of South China, our study suggests that carbon degassed from massive recycled components in the Emeishan plume served as a major end-Guadalupian(Middle Permian)carbon isotope excursion. The model based on the Emeishan LIP also offers new insights into the important role of recycled carbon released from other LIPs in climatic change and mass extinctions, as in the cases of the end-Permian Siberian and end-Cretaceous Deccan Traps. Our work highlights that carbon released from subducted slabs is returned to the atmosphere via upwelling mantle plumes, which could drive global climatic change and mass extinction.
Detection and Classification of Small Traffic Signs Based on Cascade Network

Research on the traffic sign detection is significant for driverless technology, which provides useful navigation information. Existing object detection methods are only applicable to large-size objects or small-scale specific types of traffic signs, and the performance of detecting traffic signs in street views is not adequate. In this regard, we propose a method to detect and classify small traffic signs by constructing a cascaded network. Specifically, the RetinaNet network is adopted firstly to integrate multi-layer information to identify small traffic signs in traffic scene images. The focal loss function is used to balance the biased distribution of traffic sign categories. Then, a two-class network is cascaded after the RetinaNet, which helps identify valid traffic signs from the first-stage prediction results. Experiments show that our cascaded network structure could achieve the balance of different categories of predictions and an improvement in precision and recall.
A Multicarrier Phase-Coded Waveform Design Scheme for Joint Radar and Communication System

A Multicarrier phase-coded (MCPC) waveform design scheme with two steps for Joint radar and communication (JRC) system is developed. Firstly, an integrated MCPC waveform design method is addressed by simultaneously maximizing the Signal-to-clutter-to-noise ratio (SCNR) and the Shannon capacity, subject to both the Integrated sidelobe level ratio (ISLR) constraint and the energy constraint. This model is theoretically proved to be a convex optimization problem with respect to the absolute squares of the transmit weights corresponding to different subcarriers, of which the analytical result is also discussed. Subsequently, by further optimizing the phases of the transmit weights, minimizing the Peak to average power ratio (PAPR) for JRC system is recast as a Semidefinite programming (SDP) problem, which can be effectively solved with the Semidefinite relaxation (SDR) technique via Eigenvalue decomposition (EVD) or Complex Gaussian randomization (CGR). Numerical examples are provided to verify the effectiveness of the proposed scheme.
Fluorescent Silicon-based Nanomaterials Imaging Technology in Diseases

Fluorescence imaging analysis of microscale dynamic process (e.g., metabolism, mitosis, endocytosis, exocytosis, etc.) is of particular significance to study the related pathogenesis and design the intracellular drug delivery systems. Owing to unique physical, chemical and/or biological properties, silicon(Si)‐based nanomaterials have been employed to design and construct different types of nanoprobes for the imaging analysis of diseases. Thus, we herein present an overview of recent advances in fluorescent silicon nanomaterials imaging technology for analyzing and diagnosing diseases. Firstly, we mainly introduce the construction of Si nanomaterials‐based bioprobes for long‐term fluorescence imaging analysis of cancer‐related biological information, such as tumour cells, biomarkers and nanocarriers. Afterwards, we focus on the Si nanomaterials‐based imaging technology for monitoring the dynamic process of pathological changes of various ocular diseases (e.g., ocular angiogenesis, bacterial keratitis, etc.). Then, we outline the construction of Si‐based nanoprobes and their applications in simultaneously imaging and treating the bacteria‐induced diseases caused by broad‐spectrum bacteria‐related pathogens. Finally, we further discuss the major challenges and prospects for developing silicon‐based fluorescence imaging technology.
Effect of transcutaneous auricular vagus nerve stimulation on fasting blood glucose and serum insulin concentration in Zucker diabetes fatty rats

Objective: To observe the influence of transcutaneous auricular vagus nerve stimulation (taVNS) on fasting plasma glucose (FPG) and serum insulin (INS) in Zucker diabetes fatty (ZDF) rats and explore the regulatory effect of taVNS on blood glucose in ZDF rats. Methods: A total of 20 male ZDF rats were randomized into a model group and a taVNS group, 10 rats in each one. Besides, the other 10 Zucker Lean (ZL) rats were selected to be a control group. The rats in the control group were fed with common forage and those in the model group and the taVNS group were fed with high-sugar and high-fat forage. The intervention of electric stimulation was applied in the rats of taVNS group, with 2/15 Hz in frequency, disperse-dense wave and 2 mA in intensity. Each intervention lasted 30 min, once a day, consecutively for 12 weeks. No any intervention was given in the control group and the model group. The body mass and FPG level were recorded once every 2 weeks in the rats. After the experiment, the rats were sacrificed and blood sample was collected. Enzyme linked immunosorbent assay (ELISA) was adopted to determine the level of serum INS in the rats. Results: After the modeling, compared with the control group, the body mass and FPG level were all higher (P < 0.05, P < 0.01) and the concentration of serum INS was lower (P < 0.01) in the rats of the model group. After intervention, compared with the model group, the body mass was lower in week 6 to 10 (P < 0.01, P < 0.05), FPG level was lower in week 8 to 12 (P < 0.01, P < 0.05) and serum INS concentration was higher (P < 0.01) in the rats of the taVNS group. Conclusion: TaVNS apparently improves in hyperglycemia in ZDF rats and increases serum insulin concentration in the rats.
Bioimaging Based on Nucleic Acid Nanostructures

Nucleic acid nanostructures with structural programmability, spatial addressability and excellent biocompatibility have drawn much attention in various biomedical applications, such as bioimaging, biosensing and drug delivery. In this review, we summarize the recent research progress in the field of bioimaging based on nucleic acid nanostructures with different imaging models, including fluorescent imaging(FI), magnetic resonance imaging(MRI), photoacoustic imaging(PAI) and positron emission tomography/computed tomography(PET/CT) imaging. We also discuss the remaining challenges and further opportunities involved in the bioimaging research based on nucleic acid nanostructures.
Wind Farm Support Vessel Extreme Roll Assessment While Docking in the Bohai Sea

Robust prediction of extreme motions during wind farm support vessel (WFSV) operation is an important safety concern that requires further extensive research as offshore wind energy industry sector widens. In particular, it is important to study the safety of operation in random sea conditions during WFSV docking against the wind tower, while workers are able to get on the tower. Docking is performed by thrusting vessel fender against wind tower (an alternative docking way by hinging is not studied here). In this paper, the finite element software AQWA has been used to analyze vessel response due to hydrodynamic wave loads, acting on a specific maintenance ship under actual sea conditions. Excessive roll may occur during certain sea conditions, especially in the beam sea, posing a risk to the crew transfer operation. The Bohai Sea is the area of diverse industrial activities such as offshore oil production, wave and wind power generation, etc. This paper advocates a novel method for estimating extreme roll statistics, based on Monte Carlo simulations (or measurements). The ACER (averaged conditional exceedance rate) method and its modification are presented in brief detail in Appendix. The proposed methodology provides an accurate extreme value prediction, utilizing available data efficiently. In this study the estimated return level values, obtained by ACER method, are compared with the corresponding return level values obtained by Gumbel method. Based on the overall performance of the proposed method, it is concluded that the ACER method can provide more robust and accurate prediction of the extreme vessel roll. The described approach may be well used at the vessel design stage, while defining optimal boat parameters would minimize potential roll.
The Analysis of Impact of Brexit on the Post-Brexit EU Using Intervented Multivariate Time Series

The UK is the most important partner of the EU in terms of economic and other fields due to the geographical proximity. It was one of the largest economies in the EU and its per capita income is higher than the EU average, so it is a net contributor to the EU. With UKs membership of the EU ended on 31 January 2019, there are concerns that the Brexit may have a significant impact on the EU, resulting in social, economic, political, and institutional changes, etc. in EU. While the impact of Brexit on the UK has always been the subject of considerable scholarly interest in recent years, there is relatively little literature on the impact of Brexit on the EU. This paper focuses on the evaluation of the impact of Brexit on the EU economy and other relevant aspects along three dimensions: GDP, PPP, Quarterly GDP growth. Employing powerful quantitative analysis technology that includes vector autoregression model, multivariate time series model with intervention variables, and autoregression integrated moving average, this paper obtains the important and novel evidence about the potential impact of Brexit on the EU economy, pointing out that Brexit is of far-reaching significance to the EU. This analysis uses several statistical models to screen out several key influencing factors, which can be used to predict the total GDP of EU in the next five years. The results show that EU economy will react negatively to “no-deal” Brexit, and its growth rate of economy will slow down significantly in next 5 years. Finally, we put forward relevant policy suggestions on how to deal with the negative impact of Brexit on EU.
Some Kinds of Bargaining Equilibria of Multi-objective Games

To solve the choice of multi-objective game's equilibria, we construct general bargaining games called self-bargaining games, and define their individual welfare functions with three appropriate axioms. According to the individual welfare functions, we transform the multi–objective game into a single-objective game and define its bargaining equilibrium, which is a Nash equilibrium of the single-objective game. And then, based on certain continuity and concavity of the multi-objective game's payofffunction, we proof the bargaining equilibrium still exists and is also a weakly Pareto-Nash equilibrium. Moreover, we analyze several special bargaining equilibria, and compare them in a few examples.
Microfluidic-directed magnetic controlling supraballs with multi-responsive anisotropic photonic crystal structures

The design and fabrication of anisotropic photonic crystal supraballs with multiple responses are highly desirable for versatile environmental sensing and flexible displaying. Herein, we developed an available strategy to construct a series of multi-responsive magnetic colloidal photonic crystal(CPC) supraballs with Janus and molecular-analogue structures. Initially, the humidity and temperature sensitive CPC supraballs were obtained via immobilization of polyacrylamide(PAM) and polyisopropylacrylamide(PNIPAM) hydrogels into the CPC structure, respectively, and CdTe/ZnS quantum dots endow the supraballs fluorescent signal under UV light. Furthermore, Fe_3O_4 nanoparticles(NPs) were served as a magnetic hemisphere to construct CPC Janus supraballs which can be subsequently assembled into three different molecular-shaped cluster particles that integrate more response types via Fe_3O_4 NPs hemisphere coalescence to a magnetic coupling center, recognizing multiple responses simultaneously that correspond the environmental altering. In addition, 2D polychromatic patterns with sensitive CPC pixels printed by automatic printing system were demonstrated, which could monitor the changes of temperature and humidity. The multi-responsive magnetic controlling supraballs and 2D patterns reveal the promising applications in environmental sensing, anti-counterfeiting and displaying.
Accelerating materials discovery using machine learning

The discovery of new materials is one of the driving forces to promote the development of modern society and technology innovation, the traditional materials research mainly depended on the trial-anderror method, which is time-consuming and laborious. Recently, machine learning(ML) methods have made great progress in the researches of materials science with the arrival of the big-data era, which gives a deep revolution in human society and advance science greatly. However, there exist few systematic generalization and summaries about the applications of ML methods in materials science. In this review,we first provide a brief account of the progress of researches on materials science with ML employed, the main ideas and basic procedures of this method are emphatically introduced. Then the algorithms of ML which were frequently used in the researches of materials science are classified and compared. Finally,the recent meaningful applications of ML in metal materials, battery materials, photovoltaic materials and metallic glass are reviewed.
Boosting carrier dynamics of BiVO_4 photoanode via heterostructuring with ultrathin BiOI nanosheets for enhanced solar water splitting

Bismuth vanadate(BiVO_4) has been one of the most promising candidates for solar water splitting while still suffers from poor bulk charge transport that limits its solar to hydrogen conversion efficiency. We demonstrate in this work an efficient strategy for boosting bulk charge transport of BiVO_4 through the facile impregnation of as-prepared BiVO_4 photoanode in the precursor solution of ultrathin BiOI nanosheets. Such impregnation creates increased oxygen vacancies in the bulk of BiVO_4 through the reduction of V~(5+) to V~(4+) by I~-, which greatly improves bulk separation efficiency for BiVO_4-BiOI up to 65.9 % at 1.23 V_(RHE) from the original 51.9 % of pure BiVO_4. Moreover, the decoration of the BiOI nanosheets on BiVO_4 photoanode is also beneficial for addressing the carrier dynamics at surface due to the matched energy levels of BiOI nanosheets and BiVO_4. The introduced plenty of oxygen vacancies in the bulk of BiVO_4 and the built-in electric field in BiVO_4-BiOI synergistically improve the photocurrent density at 1.23 V_(RHE) up to 3.88 mA cm~(-2). We believe that such facile impregnation strategy will pave an alternative way to the development of highly efficient BiVO_4 photoanode.
注射用利福平致眼眶、眼底疼痛1例

利福平成人于30 min内静滴0.6 g后血峰浓度可达17.5 mg·L~(-1),吸收后可弥散至全身大部分组织和体液中,穿透力强,蛋白结合率为80%~91%,T1/2为3~5 h,主要经胆和肠道排泄,可进入肝肠循环,个体差异、合并用药、患者病理生理等影响因素较多。为预防不良反应的发生,既往有过敏史及首次用药的患者,应严格掌握其适应证及剂量大小。临床医师、药师及护理人员也应提高对利福平的认识,严格掌握其药动学、药效学特点,充分熟悉其不良反应发生的机制和危害,在用药过程中高度重视和警惕,以保障患者用药的安全性。
全麻机械通气期间呼气末正压影响因素与个体化实施的研究进展

全麻机械通气期间,如何合理设置呼吸参数,避免通气相关肺损伤(ventilator-induced lung injury,VILI),已经成为麻醉学研究的热点。全麻机械通气期间,肺保护性通气(lung protective ventilation,LPV)已被证明对健康肺患者有益。作为LPV的重要组成部分,呼气末正压(positive endexpiratory pressure,PEEP)被认为是最小化肺组织动态应变的最重要措施。全麻患者存在个体差异,对PEEP的需求因人而异,符合患者个体生理的PEEP会产生更大的肺保护效应。目前,临床工作中提出多种个体化PEEP实施方法。本文旨在简要阐述PEEP的影响因素与个体化PEEP实施方法,为临床工作提供借鉴。
李氏四辨思想在膝骨关节炎防治中的作用

膝骨关节炎(knee osteoarthritis,KOA)是一种常见的慢性退行性关节疾病,病变在不同的阶段可涉及全关节,包括软骨退变、软骨下骨硬化、滑膜增生、关节周围肌肉力量减弱等,其发病原因复杂,有年龄、性别、创伤、劳损、肥胖等因素,目前国内外相关治疗指南繁多,KOA临床治疗方法有各种各样,但目前治疗主要集中在改善患者疼痛及关节功能方面,中西医在治疗KOA方面均有一定的疗效,但单独使用在总体疗效,延缓疾病进展及减少药物不良反应方面仍存在一定的问题。中西医结合作为我国特色的临床诊疗体系将有效发挥中西医在治疗KOA方面的各自优势,在综合改善患者关节疼痛,功能障碍、延缓病情进展及延缓外科干预时间等方面发挥重要作用,主要包括健康教育、心理干预、非药物治疗、药物治疗、运动康复治疗及外科手术干预,但缺乏在预防疾病进展方面的有效防治方法。
Pipeline栓塞装置治疗颅内破裂动脉瘤的研究进展

作为一种新型的血管内栓塞装置,Pipeline栓塞装置在颅内动脉瘤治疗中的临床价值不断凸显,且其临床应用的有效性和安全性被逐渐证实,成为多种类型颅内复杂动脉瘤的首选治疗方案。然而,Pipeline栓塞装置治疗颅内破裂动脉瘤的有效性和安全性尚不明确。本文对Pipeline栓塞装置治疗颅内破裂动脉瘤的研究进展做一综述。
铜催化1,4-戊二烯与酮的区域选择性不对称加成反应

异构体纯的1,3-二烯是天然产物和生物活性分子中常见的结构单元,越来越多的科研人员投入到该类骨架的合成研究当中.此外, 1,3-二烯是有机化学中一类用途广泛的合成砌块,基于过渡金属催化和光氧化还原催化等策略,科研人员可快速将1,3-二烯转化为高度官能化的分子.过渡金属催化的1,3-二烯与羰基或亚胺类化合物的还原偶联反应可以高效地构建一系列具有潜在应用价值的高烯丙基醇类和高烯丙基胺类化合物.文献中已经报道的催化体系主要是基于镍、钌、铑、铱和铜等过渡金属.其中一个值得注意的反应是一价铜催化的酮与1,3-二烯的不对称还原烯丙基化.在相似的一价铜催化体系下,该反应中酮类化合物可成功拓展到二氧化碳,在经历彻底还原之后,同样可以生成手性高烯丙叔醇类化合物.
原发性甲状腺功能亢进患者术前准备是否一定需要碘剂

碘剂用于甲状腺功能亢进术前准备已有近百年的历史,但其最初的应用是基于错误的理论。抗甲状腺药物出现后替代碘剂成为了预防围手术期甲状腺危象的主要药物。如今,术前应用碘剂的目的是减少术中出血及术后并发症,但该作用尚缺乏循证医学证据。本文就术前碘准备的应用起源、作用机制、循证医学证据及应用现况等方面进行阐述,说明原发性甲状腺功能亢进患者术前准备并非必须使用碘剂。
cPCN‑Regulated SnO_2 Composites Enables Perovskite Solar Cell with Efficiency Beyond 23%

Efficient electron transport layers (ETLs) not only play a crucial role in promoting carrier separation and electron extraction in perovskite solar cells (PSCs) but also significantly affect the process of nucleation and growth of the perovskite layer. Herein, crystalline polymeric carbon nitrides (cPCN) are introduced to regulate the electronic properties of SnO_2 nanocrystals, resulting in cPCN-composited SnO_2 (SnO_2-cPCN) ETLs with enhanced charge transport and perovskite layers with decreased grain boundaries. Firstly, SnO_2-cPCN ETLs show three times higher electron mobility than pristine SnO_2 while offering better energy level alignment with the perovskite layer. The SnO_2-cPCN ETLs with decreased wettability endow the perovskite films with higher crystallinity by retarding the crystallization rate. In the end, the power conversion efficiency (PCE) of planar PSCs can be boosted to 23.17% with negligible hysteresis and a steady-state efficiency output of 21.98%, which is one of the highest PCEs for PSCs with modified SnO_2 ETLs. SnO_2-cPCN based devices also showed higher stability than pristine SnO_2, maintaining 88% of the initial PCE after 2000 h of storage in the ambient environment (with controlled RH of 30% ± 5%) without encapsulation.
Pancake‑Like MOF Solid‑State Electrolytes with Fast Ion Migration for High‑Performance Sodium Battery

Solid-state electrolyte (SSE) of the sodium-ion battery have attracted tremendous attention in the next generation energy storage materials on account of their wide electrochemical window and thermal stability. However, the high interfacial impedance, low ion transference number and complex preparation process restrict the application of SSE. Herein, inspired by the excellent sieving function and high specific surface area of red blood cells, we obtained a solid-like electrolyte (SLE) based on the combination of the pancake-like metal–organic framework (MOF) with liquid electrolyte, possessing a high ionic conductivity of 6.60 ×10~(-4) S cm~(-1), and excellent sodium metal compatibility. In addition, we investigated the ion restriction effect of MOF’s apertures size and special functional groups, and the ion transference number increased from 0.16 to 0.33. Finally, the assembled Na_(0.44)MnO_2//SLE//Na full batteries showed no obvious capacity decrease after 160 cycles. This material design of SLE in our work is an important key to obtain fast ion migration SLE for high-performance sodium-ion batteries.