mlsa-iai-msu-lab/ru_sci_bench_zho_cite_reranking huggingface dataset:
合并儿茶酚胺心肌病患者嗜铬细胞瘤切除术麻醉处理1例

综上所述,合并儿茶酚胺性心肌病的嗜铬细胞瘤切除术患者,在加速康复外科理念的指导下,通过充分的术前准备、术中深肌松及低气腹压和TEE实时监测,避免围术期血流动力学波动;术毕给予特异性拮抗药舒更葡糖钠,早期气管拔管;术后采用多模式镇痛,有利于患者早期转归。
钯催化不对称合成轴手性2-芳基喹唑啉酮

异腈是一种相对稳定的特殊结构,既具有卡宾的化学性质,又可以作为自由基受体参与有机合成反应.其参与的常见反应类型包括Ugi反应和Passerini反应等.另外,异腈作为CO的等电子体,能够以C1合成子应用于金属催化亚胺化/羰基化反应.近年来,过渡金属催化异腈参与的不对称反应研究引起化学家的广泛关注,然而由于异腈与过渡金属具有较强的配位能力,在反应过程中,异腈和手性配体存在的竞争性配位现象,会导致不对称转化效率不高.为解决上述问题,中国科学院广州生物医药与健康研究院罗爽和朱强课题组利用官能化异腈的策略,在反应过程中使异腈的插入过程先于手性元素的形成,以减弱异腈和配体与催化金属中心的竞争性配位,从而提高反应的对映选择性.基于此,该课题组通过Pd催化异腈的迁移插入串联分子内不对称C—H/N—H官能化,实现了官能化异腈参与的高收率和高ee值的不对称环亚胺化反应,分别构建了中心手性、平面手性和轴手性含氮杂环化合物(Scheme 1).
Eaton-Littler术式治疗陈旧性拇腕掌关节脱位一例

新鲜拇腕掌关节脱位一期闭合或切开复位联合石膏或克氏针固定,失败率高,韧带修复可能对降低失败率有益;陈旧性拇腕掌关节脱位已有各种韧带重建方法,Eaton-Littler技术使用广泛,疗效可靠,操作简单。
足趾移植重建拇、手指的历史与现状

游离足趾移植术于1966年由我国杨东岳首创,经过国内外广大学者50多年的潜心研究与广泛应用,经历了多个发展阶段,目前已成为最受欢迎的拇、手指缺损修复与再造的方法。本文从足趾移植重建拇、手指的发展历史,不同时期手术技术与观念的创新,目前存在的主要问题与研究现状等方面作一介绍。
中枢神经系统表面铁沉积症合并腰椎管内病变1例报道

中枢神经系统表面铁沉积症(superficial siderosis of the central nervous system,SSCNS)是一组由慢性蛛网膜下腔出血导致含铁血黄素沉积于中枢神经系统表面引起的罕见疾病,以神经感觉性耳聋、小脑共济失调、锥体束征为典型临床表现。本文报道了1例手术治疗SSCNS合并椎管内病变病例,结合文献,探讨其可能的病因、症状特点及诊治要点。
半环头盆环牵引结合后路融合手术治疗难复性寰枢椎脱位型颅底凹陷症3例报道

颅底凹陷症(basilar invagination,BI)是一种常见的枕颈畸形,其特点是枕骨大孔周围的颅底骨向上陷入颅腔,或寰枢椎向上移位进入颅腔,导致枕骨大孔狭窄、后颅窝变小,继而引起脑干、延髓、小脑、低位颅神经(Ⅸ、Ⅹ、Ⅻ)及周围血管受压的一系列临床表现。多数患者症状进展缓慢,部分患者可无症状。临床表现主要为:颈部疼痛、上肢麻木、复视、吞咽困难、发音不清、共济失调等神经压迫症状,以及眩晕、恶心、呕吐等椎动脉供血障碍表现,部分患者可能出现颅内压增高症状。颅底凹陷症常合并寰枢椎脱位、寰椎枕骨化、寰椎后弓隐裂、齿状突发育畸形等枕颈部畸形,易导致脊髓受压,严重者可危及生命,治疗难度大、风险高。然而,难复性寰枢椎脱位型颅底凹陷症的外科手术治疗具有独特的挑战性,其手术治疗方式也存在较大争议。我科2017年1月~2017年12月期间治疗了3例难复性寰枢椎脱位型颅底凹陷症,所有患者在常规颅骨牵引下均无法实现复位,之后对患者进行了头颅-骨盆牵引(Halo-pelvic traction,HPT)治疗及后路融合手术治疗,效果显著,报道如下。
Tumor Microenvironment-Specific Chemical Internalization for Enhanced Gene Therapy of Metastatic Breast Cancer

Benefiting from treating diseases at the genetic level,gene therapy has been considered a new revolution in the biomedical field.However,the extracellular and intracellular barriers during gene transport such as enzymatic degradation and endo-/lysosomal sequestration significantly compromise the therapeutic efficacy.Though photochemical internalization(PCI)has emerged as a promising approach for causing endo-/lysosomal leakage with translocation of the internalized molecules into the cytosol,its effect is still unsatisfactory due to the insufficient light penetration depth.Here,we develop tumor microenvironment-specific enhanced gene delivery by means of ROS generated from the in situ cascaded catalytic reactions in tumors involving GOx-mediated redox reaction and Mn~(2+)-mediated Fenton-like reaction.The efficient enzymatic protection and successful endo-/lysosomal escape of cargo gene complexes have been demonstrated.Moreover,anti-Twist siRNA-loaded G@MMSNs-P exhibit tumor-specific biodegradation,excellent T_1-weighted MR imaging,and significant inhibitory effects against breast cancer growth and pulmonary metastasis.
A Nonresonant Hybridized Electromagnetic-Triboelectric Nanogenerator for Irregular and Ultralow Frequency Blue Energy Harvesting

As a promising renewable energy source,it is a challenging task to obtain blue energy,which is irregular and has an ultralow frequency,due to the limitation of technology.Herein,a nonresonant hybridized electromagnetic-triboelectric nanogenerator was presented to efficiently obtain the ultralow frequency energy.The instrument adopted the flexible pendulum structure with a precise design and combined the working principle of electromagnetism and triboelectricity to realize the all-directional vibration energy acquisition successfully.The results confirmed that the triboelectric nanogenerator (TENG) had the potential to deliver the maximum power point of about 470 μW while the electromagnetic nanogenerator (EMG) can provide 523mW at most.The conversion efficiency of energy of the system reached 48.48%,which exhibited a remarkable improvement by about 2.96 times,due to the elastic buffering effect of the TENG with the double helix structure.Furthermore,its ability to collect low frequency wave energy was successfully proven by a buoy in Jialing River.This woke provides an effective candidate to harvest irregular and ultralow frequency blue energy on a large scale.
Optimal Site and Size of Distributed Generation Allocation in Radial Distribution Network Using Multi-objective Optimization

Distributed generation (DG) allocation in the distribution network is generally a multi-objective optimization problem. The maximum benefits of DG injection in the distribution system highly depend on the selection of an appropriate number of DGs and their capacity along with the best location. In this paper, the improved decomposition based evolutionary algorithm (I-DBEA) is used for the selection of optimal number, capacity and site of DG in order to minimize real power losses and voltage deviation, and to maximize the voltage stability index. The proposed I-DBEA technique has the ability to incorporate non-linear, nonconvex and mixed-integer variable problems and it is independent of local extrema trappings. In order to validate the effectiveness of the proposed technique, IEEE 33- bus, 69-bus, and 119-bus standard radial distribution networks are considered. Furthermore, the choice of optimal number of DGs in the distribution system is also investigated. The simulation results of the proposed method are compared with the existing methods. The comparison shows that the proposed method has the ability to get the multi-objective optimization of different conflicting objective functions with global optimal values along with the smallest size of DG.
Mesoscale Wind Farm Placement via Linear Optimization Constrained by Power System and Techno-economics

The objective of this study is to develop a wind farm placement and investment methodology based on a linear optimization procedure. This problem has a major significance for the investment success for the projects of renewable energy such as wind power. In this study, a mesoscale approach is adopted whereby the wind farm location is investigated in comparison with a microscale approach where the location of each individual turbine is optimized. Specifical study focuses on the placement of a wind farm by economical optimization constrained by the power system, wind resources, and techno-economics. Linear optimization is introduced in this context at the power system which is constrained by wind farm planning.
Optimization Methods of MPPT Parameters for PV Systems: Review, Classification, and Comparison

To obtain efficient photovoltaic (PV) systems, optimum maximum power point tracking (MPPT) algorithms are inevitable. The efficiency of MPPT algorithms depends on two MPPT parameters, i. e., perturbation amplitude and perturbation period. The optimization of MPPT algorithms affect both the tracking speed and steady-state oscillation. In this paper, optimization methods of MPPT parameters are reviewed and classified into fixed and variable methods. The fixed MPPT parameters are constant during MPPT performance, and a trade-off should be made between the tracking speed and steady-state oscillation. However, the variable MPPT parameters will be changed to improve both the tracking speed and the steadystate oscillations. Moreover, some of them are simulated, compared, and discussed to evaluate the real contributions of the optimization methods to the MPPT efficiency. Furthermore, significant features of the optimization methods, i.e., noise immunity, robustness, and computation effort, are investigated.
CO-HCCA: Bandwidth Allocation Strategy in Internet of Vehicles with Dynamically Segmented Congestion Control

Hybrid coordination function controlled channel access (HCCA) applied in wireless ad hoc network systems is the strategy to allocate the bandwidth resources of control channel (CCH) and service channels (SCHs). With the continuous development of Internet of vehicles (IoV) technologies, it is difficult for HCCA to support traffic information services, such as low delay along with high-frequency dissemination of security beacons and large capacity interaction of image data. Fusing the fundamental theories of No.7 signaling system and 5G-IoV technologies, this paper proposes a novel channel bandwidth allocation strategy named CO-HCCA, which matches CCH time slot numbers with on board units (OBUs) numbers to reduce the congestion of channel access demand information (CADI); and also illustrates a dynamic segment adjusting algorithm of the time slots. On one hand, in the channel reservation stage of CCH control cycle, OBUs are sorted according to the priority of data transmission, and then the corresponding transmission slots are adopted orderly according to the OBUs numbers, so as to decrease the collision probability of high-frequency dissemination of CADI. On the other hand, for the quickly arriving and leaving OBUs in coverage of roadside base station (RBS), the prediction of bandwidth segments is dynamically adjusted to adapt to the time-varying characteristic of the connected vehicle scenarios. Modeling calculation and objective comparison on OMNeT++ computing platform show that the proposed CO-HCCA strategy can effectively reduce the channel congestion of IoV, and in the scenario of high-density data interaction, it is beneficial to promote the transmission timeliness of security beacons and the package delivery rate (PDR) of high bit-rate multiple information.
Integrated Optimal Siting and Sizing for VSCHVDC- link-based Offshore Wind Farms and Shunt Capacitors

It is economic and secure to determine the optimal siting and sizing of the offshore wind farms (OWFs) integrated into the AC system through voltage-source converter high-voltage direct current (VSC-HVDC) links. In this paper, an integrated planning model for the VSC-HVDC-link-based OWFs and the capacitors is proposed, where a decomposition technique is presented to solve the proposed mixed-integer nonlinear programming (MINLP) problem and obtain the optimal solution. This model can optimize the siting and sizing of the OWFs to improve the voltage profile and reduce the adverse influence of the reactive power of the OWFs. With the proposed planning model, the total investment costs, operation costs and maintenance costs of the OWFs, VSC-HVDC links, and the capacitors can be minimized. Simulations on the modified IEEE 118-bus system show that the proposed integrated planning model can provide more economic scheme than the independent planning scheme, in which the capacitors are planned after the OWFs. Besides, a series of sensitivity analysis on certain equipment costs are studied to obtain the regular pattern for sizing VSC stations.
Fault-section Identification for Hybrid Distribution Lines Based on Principal Component Analysis

In this paper, we present a single-ended principal-component-analysis-(PCA-) based fault-section identification method for a hybrid distribution line (non-effective grounding system), which is an overhead line combined with an underground cable when a single-line-to-ground (SLG) fault occurs. Ground-mode currents are extracted from the single-ended measuring points when faults occur in underground cables or overhead lines, and then the method of fault-section identification based on PCA is utilized to deal with the ground-mode or aerial-mode currents to realize the fault-section identification of the hybrid system. First, a loading plot of PCA is used to compare the projection of ground-mode currents on the PC1 coordinate axis to 0. Then, Euclidean distance is used to realize the fault-section identification to improve the reliability of criterion and avoid threshold setting in the PCA method. The performance of the method is tested in 35 kV hybrid distribution lines for a distribution system based on PSCAD/EMTDC for different fault locations, different fault inception angles (FIAs), and fault resistances with satisfactory results. The impact of distributed generation (DG) and lengths of cable and overhead lines on the accuracy of the proposed method is also investigated.
Dual-frequency Discontinuous Space Vector Pulse Width Modulation for Five-phase Voltage Source Inverters with Harmonic Injection

This paper proposes a dual-frequency discontinuous space vector pulse width modulation (DFDSVPWM) for a five-phase voltage source inverter with harmonic injection. In this modulation, for dual-frequency voltage output and reduction of switching losses, two different zero-vector-inserted modes are flexibly employed by alternatively using two types of zero vectors. Based on the comparison with continuous SVPWM, the idea and principle of the proposed DFDSVPWM are analyzed and an example of PWM signals for one bridge is also presented. For switching losses analysis, the impact factors and the calculation method are investigated and the corresponding implementation is given as well. The simulation and experimental results from a prototype verify the correctness and effectiveness of the proposed modulation and it has the advantages of outputting dual-frequency voltage and reducing switching losses.
Design Aspects of Hybrid HVDC System

Hybrid high voltage direct current transmission (Hybrid HVDC) is a new type of HVDC technology developed in recent years. It combines the characteristics of large-capacity and low cost of the line commutated converters (LCC) and non-commutation failure and dynamic reactive power support of the voltage sourced converters (VSCs) in one HVDC system. It has technical advantages in the fields of unidirectional power transmission and in the application of improving the stability of multi-infeed HVDCs, giving it broad application prospects. This paper defines the basic form of hybrid HVDC first and discusses the characteristics and challenges of different hybrid HVDCs. Then, it analyzes the matching characteristics between LCC and VSC in the station-station hybrid HVDC, studies the key technologies, such as VSC topologies and control strategies for clearing the DC overhead line faults, and introduces the key technologies for analyzing and suppressing the high-frequency resonances between VSC and the power grid. In this paper, using the Wudongde UHV multi-terminal HVDC as an example, the proposed key technologies are analyzed and verified.
Graph Computing Based Security Constrained Unit Commitment in Hydro-thermal Power Systems Incorporating Pumped Hydro Storage

This paper proposes a graph computing based mixed integer programming (MIP) framework for solving the security constrained unit commitment (SCUC) problem in hydro-thermal power systems incorporating pumped hydro storage (PHS). The proposed graph computing-based MIP framework considers the economic operations of thermal units, cascade hydropower stations and PHS stations,as well as their technical impacts towards the network security. First, the hydro-thermal power system data and unit information are stored in a graph structure with nodes and edges, which enables nodal and hierarchical parallel computing for the unit commitment (UC) solution calculation and network security analysis. A MIP model is then formulated to solve the SCUC problem with the mathematical models of thermal units, cascade hydropower stations and PHS stations. In addition, two optimization approaches including convex hull reformulation (CHR) and special ordered set (SOS) methods are introduced for speeding up the MIP calculation procedure. To ensure the system stability under the derived UC solution,a parallelized graph power flow (PGPF) algorithm is proposed for the hydro-thermal power system network security analysis. Finally, case studies of the IEEE 118-bus system and a practical 2749-bus hydro-thermal power system are introduced to demonstrate the feasibility and validity of the proposed graph computing-based MIP framework.
Renewable Generation Capacity and Reliability Assessments for Resilient Active Distribution Networks Based on Time-sequence Production Simulation

The penetration of renewable generation will affect the energy utilization efficiency, economic benefit and reliability of the active distribution network (ADN). This paper proposes a time-sequence production simulation (TSPS) method for renewable generation capacity and reliability assessments in ADN considering two operational status: the normal status and the fault status. During normal operation, an optimal dispatch model is proposed to promote the renewable consumption and increase the economic benefit. When a failure occurs, the renewable generators are partitioned into islands for resilient power supply and reliability improvement. A novel dynamic island partition model is presented based on mixed integer second-order cone programming (MISOCP). The effectiveness of the proposed TSPS method is demonstrated in a standard network integrated with historical data of load and renewable generations.
Fault Location in Distribution System Using Convolutional Neural Network Based on Domain Transformation

Distribution lines are integral parts of the modern power system, which can affect the security and stability of power supply directly. An effective power system protection scheme should be able to detect all occurring faults as soon as possible. There are two tasks in fault diagnosis. One is the fault classification, where high accuracy rates have already achieved. Thus, this paper focuses on the other task, i.e. fault location. Enlightened by Fourier transform, this paper proposes an online data-driven method, which transforms signals from time domain to image domain through signal-to-image (SIG) algorithm and then process the transformed images with framework based on convolutional neural network (CNN). On the one hand, we can extract more crucial characteristic and information from image domain. On the other hand, the CNN-based structure is much smaller than others. It needs less memory space and would be easier to be transplanted to hardware platform. Moreover, the proposed algorithm does not require synchronous devices. The numerical comparison shows that the proposed SIG-CNN fault location model achieves robust and accurate results compared with other data-driven algorithms.
Susceptibility breakpoint for cefquinome against Escherichia coli and Staphylococcus aureus from pigs

Cefquinome is the only fourth-generation cephalosporin used solely for veterinary applications. In this study, we established the wild-type cut-off (CO_(WT)) and pharmacokinetic/pharmacodynamic cut-off (CO_(PD)) of cefquinome against Escherichia coli and Staphylococcus aureus. A total of 210 E. coli and 160 S. aureus isolates were collected from pigs in Guangdong Province between 2014 and 2018. The minimum inhibitory concentrations (MICs) were determined using a microdilution broth method. MIC_(50) and MIC90 were 0.06 and 0.25 μg mL~(–1) for E. coli and 0.5 and 1 μg mL~(–1) for S. aureus, respectively. Statistical analysis and the ECOFFinder Program showed that the CO_(WT) for cefquinome against E. coli and S. aureus were 0.125 and 2 μg mL~(–1), respectively. The resistance rates were 11.9% for E. coli and 6.25% for S. aureus. Based on a 5 000-subject Monte Carlo simulation, the CO_(PD) value for cefquinome against E. coil and S. aureus was 0.25 μg mL~(–1) under the recommended dose (2 mg kg–1, twice a day for 3 days), confirming that infections caused by strains with MIC≤0.25 μg mL~(–1) could be effectively treated. Following adjustment of the dosing regimen to 4.5 mg kg~(–1), effective treatment (>90) was achieved for S. aureus infections with MIC90 1 μg mL~(–1). This susceptibility breakpoint determination is significant for resistant surveillance and cefquinome dosage guidance against E. coli and S. aureus in pigs.
Development and application of microsatellite markers within transcription factors in flare tree peony (Paeonia rockii) based on next-generation and single-molecule long-read RNA-seq

Tree peonies native to China are a precious crop with ornamental, medicinal and edible oil properties, of which flare tree peony (Paeonia rockii) is one of the most significant germplasms in Paeonia. The development and application of expressed sequence tag-simple sequence repeat (EST-SSR) markers are very valuable for genetic and breeding applications, but EST-SSR resources for the genus Paeonia are still limited. In this study, we first reported the development of SSRs within transcription factors (TFs) in P. rockii based on next-generation sequencing (NGS) and single-molecule long-read sequencing (SMLRS). A total of 166 EST-SSRs containing six nucleotide repeat types were identified from 959 candidate TFs associated with yield, with an average of one SSR per 5.83 unigenes. In total, 102 (61.45%) pairs of primers produced amplification products in the two RNA-seq cultivars. Among them, 58 (56.86%) pairs of primers from 18 gene families (AP2, bHLH, HSF, etc.) were identified to be polymorphic both in the parents of a linkage mapping population and in eight randomly selected accessions of P. rockii. Further, the 58 EST-SSRs indicated a high level of informativeness with PIC values ranging from 0.32 to 0.91 (mean 0.70) after assessment in 37 tree peony accessions. Transferability studies indicated that the amplification ratio of the 58 pairs of primers ranged from 89.66 to 100% across seven species of Paeonia. In addition, a genetic relationship study was performed in 62 accessions. Cluster analysis using the neighbour-joining (NJ) tree demonstrated that major clusters corresponded to the known pedigree trees. Taken together, these newly developed EST-SSRs have a potential use in the conservation of tree peony germplasm and marker-assisted selection (MAS) breeding.
Getting Lost: Place Cells and Grid Cells in Rodent Models of Alzheimer's Disease

Alzheimer's disease (AD) is a progressive neurodegenerative disorder and affects 60-80% of all dementia cases in the elderly population worldwide. Getting lost is one of the earliest cognitive symptoms to emerge in AD patients. Despite decades-long efforts to identify the molecular mechanisms underlying the pathogenesis of β-amyloid (Ab) plaques and tau neurofibrillary tangles, no effective therapeutic interventions have been developed for AD so far. The early onset of amnestic deterioration occurs first in the entorhinal cortex and spreads later to the hippocampus, making the hippocampal-entorhinal loop the most vulnerable region. Thus, the hippocampal-entorhinal network has been a primary focus of AD study.
Enhanced production of seed oil with improved fatty acid composition by overexpressing NAD+-dependent glycerol-3-phosphate dehydrogenase in soybean

There is growing interest in expanding the production of soybean oils (mainly triacylglycerol, or TAG) to meet rising feed demand and address global energy concerns. We report that a plastidlocalized glycerol-3-phosphate dehydrogenase (GPDH), encoded by GmGPDHp1 gene, catalyzes the formation of glycerol-3-phosphate (G3P), an obligate substrate required for TAG biosynthesis. Overexpression of GmGPDHp1 increases soybean seed oil content with high levels of unsaturated fatty acids (FAs), especially oleic acid (C18:1), without detectably affecting growth or seed protein content or seed weight. Based on the lipidomic analyses, we found that the increase in G3P content led to an elevated diacylglycerol (DAG) pool, in which the Kennedy pathwayderived DAG was mostly increased, followed by PC-derived DAG, thereby promoting the synthesis of TAG containing relatively high proportion of C18:1. The increased G3P levels induced several transcriptional alterations of genes involved in the glycerolipid pathways. In particular, genes encoding the enzymes responsible for de novo glycerolipid synthesis were largely upregulated in the transgenic lines, in-line with the identified biochemical phenotype. These results reveal a key role for GmGPDHp1-mediated G3P metabolism in enhancing TAG synthesis and demonstrate a strategy to modify the FA compositions of soybean oils for improved nutrition and biofuel.