mlsa-iai-msu-lab/ru_sci_bench_zho_cite_reranking huggingface dataset:
Compression behavior of 316L lattice structures produced by indirect additive manufacturing

As a new type of lightweight structure, metallic lattice structure has higher stiffness and strength to weight ratio. To freely obtain 316L lattice structures with designed cell structure and adjustable porosity, additive manufacturing combined with investment casting was conducted to fabricate the 316L lattice structures with Kelvin cell. The compression simulation of 316L lattice structures with different porosities was carried out by using the finite element method. The numerical simulation results were verified by compression experiment, and the simulated results were consistent with the compression tests. The compressive mechanical properties of 316L lattice structures are directly related to porosity and independent of strut diameters. The 316L lattice structures with Kelvin cell have a smooth stress-strain curve and obvious plastic platform, and the hump stress-strain curves are avoided.
Mathematical Modeling and Design of RIS Deployment in a RIS-Assisted Metal Cuboid for WAIC Systems

Wireless avionics intra-communications (WAIC) is an emergent research topic, since it can improve fuel efficiency and enhance aircraft safety significantly. However, there are numerous baffles in an aircraft, e.g., seats and cabin bulkheads, resulting in serious blockage and even destroying wireless communications. Thus, this paper focuses on the reconfigurable intelligent surface (RIS) deployment issue of RIS-assisted WAIC systems, to solve the blockage problem caused by baffles. We first propose the mirror-symmetric imaging principle for mathematically analyzing electromagnetic (EM) wave propagation in a metal cuboid, which is a typical structure of WAIC systems. Based on the mirror-symmetric imaging principle, the mathematical channel model in a metal cuboid is deduced in detail. In addition,we develop an objective function of RIS's location and deduce the optimal RIS deployment location based on the geometric center optimization lemma. A two-dimensional gravity center search algorithm is then presented. Simulation results show that the designed RIS deployment can greatly increase the received power and efficiently solve the blockage problem in the aircraft.
Frontier studies on natural products: moving toward paradigm shifts

Natural products (NPs) historically serve as a valuable and productive source of bioactive compounds for drug development. The discovery of a range of alkaloids in the early 1800s, including strychnine, morphine, etc., heralded a new era of isolating plant-derived bioactive compounds in the field of NPs. After the milestone discovery of penicillin, the research interests from NP communities extended to microbes, leading to a multitude of versatile antibiotics, such as cephalosporins, tetracyclines, erythromycin. Additionally, drug discovery from marine NPs has experienced a surge of interest, culminating in two representative marine-derived drugs, ziconotide and trabectedin, with approval being granted in the 2000s. These important drugs from natural sources not only have ushered in their own field, but also have made inestimable contributions to human health. Nowadays, bioactive NPs or NP-derived structures continue to play a significant role in drug discovery and development, which is still at the frontier of chemical and biological research. According to a recent review, about two-thirds of the drugs with new chemical entities in the past 38 years were derived from NPs or chemically designed mimics of NPs.
Quantitative characterization of filamentous fungal promoters on a single-cell resolution to discover cryptic natural products

Characterization of filamentous fungal regulatory elements remains challenging because of time-consuming transformation technologies and limited quantitative methods. Here we established a method for quantitative assessment of filamentous fungal promoters based on flow cytometry detection of the superfolder green fluorescent protein at single-cell resolution. Using this quantitative method, we acquired a library of 93 native promoter elements from Aspergillus nidulans in a high-throughput format. The strengths of identified promoters covered a 37-fold range by flow cytometry. P_(zipA) and P_(sltA) were identified as the strongest promoters, which were 2.9- and 1.5-fold higher than that of the commonly used constitutive promoter PgpdA. Thus, we applied P_(zipA) and P_(sltA) to activate the silent nonribosomal peptide synthetase gene Afpes1 from Aspergillus fumigatus in its native host and the heterologous host A. nidulans. The metabolic products of Afpes1 were identified as new cyclic tetrapeptide derivatives, namely, fumiganins A and B. Our method provides an innovative strategy for natural product discovery in fungi.
Fragmentation stability and retention time-shift obtained by LC-MS/MS to distinguish sialylated N-glycan linkage isomers in therapeutic glycoproteins

Sialylated N-glycan isomers with α2-3 or α2-6 linkage(s) have distinctive roles in glycoproteins, but are difficult to distinguish. Wild-type (WT) and glycoengineered (mutant) therapeutic glycoproteins, cytotoxic T lymphocyte-associated antigen-4-immunoglobulin (CTLA4-Ig), were produced in Chinese hamster ovary cell lines; however, their linkage isomers have not been reported. In this study, N-glycans of CTLA4-Igs were released, labeled with procainamide, and analyzed by liquid chromatography-tandem mass spectrometry (MS/MS) to identify and quantify sialylated N-glycan linkage isomers. The linkage isomers were distinguished by comparison of 1) intensity of the N-acetylglucosamine ion to the sialic acid ion (Ln/Nn) using different fragmentation stability in MS/MS spectra and 2) retention time-shift for a selective m/z value in the extracted ion chromatogram. Each isomer was distinctively identified, and each quantity (>0.1%) was obtained relative to the total N-glycans (100%) for all observed ionization states. Twenty sialylated N-glycan isomers with only α2-3 linkage(s) in WT were identified, and each isomer's sum of quantities was 50.4%. Furthermore, 39 sialylated N-glycan isomers (58.8%) in mono- (3 N-glycans; 0.9%), bi- (18; 48.3%), tri- (14; 8.9%), and tetra- (4; 0.7%) antennary structures of mutant were obtained,which comprised mono- (15 N-glycans; 25.4%), di- (15; 28.4%), tri- (8; 4.8%), and tetra- (1; 0.2%) sialylation,respectively, with only α2-3 (10 N-glycans; 4.8%), both α2-3 and α2-6 (14; 18.4%), and only α2-6 (15; 35.6%) linkage(s). These results are consistent with those for α2-3 neuraminidase-treated N-glycans. This study generated a novel plot of Ln/Nn versus retention time to distinguish sialylated N-glycan linkage isomers in glycoprotein.
Impact of Tropical Cyclones over the North Indian Ocean on Weather in China and Related Forecasting Techniques: A Review of Progress

Tropical cyclones (TCs) over the North Indian Ocean (NIO) are closely related to Asian summer monsoon activities and have a great impact on the precipitation in the Tibetan Plateau, southwestern China, and even the middle and lower reaches of the Yangtze River. In this paper, the research progress on the impacting mechanisms of NIO TCs on the weather in China and associated forecasting techniques is synthesized and reviewed, including characteristics of the NIO TC activity, its variability under climate change, related precipitation mechanism, and associated forecasting techniques. On this basis, the limitations and deficiencies in previous research on the physical mechanisms and forecasting techniques of NIO TCs affecting the weather in China are elucidated and the directions for future investigations are discussed.
The USLE soil erodibility nomograph revisited

The nomograph by Wischmeier et al. (1971) for calculating the K-factor in the USLE was extremely useful when there was low access to calculators. However, the generalised calculation of this factor requires the development of analytic procedures. This paper presents a detailed analysis of the nomograph and its underlying equation, which is applicable only when the silt plus very find sand fraction does not exceed 70%. We also examined the quality of fit on the nomograph of the adaptations to the equation that have been proposed, as a means of dealing with those areas where the original equation is not applicable. All models are shown to have areas where the fit is deficient or even unacceptable. Besides, the family of curves on the nomograph for the various values taken by the organic matter are not coincident with the mathematical function from which they presumably derive. The study also identifies those areas of the textural triangle in which the soils originally used in developing the USLE are located, with a view to according a lower predictive value to the contrasting areas in which calculations of the K-factor will necessarily be extrapolations. Finally, a new equation for calculating the K-factor is presented, which accurately reproduces the different sections of the nomograph, and allows the poorly functioning graph to be dispensed with. The paper ends with a link to a tool in R for simplifying the procedure for calculating the K-factor, taking into account varying situations of data availability.
A plug-and-play interface technology: boosting simple but robust stretchable device assembly

Stretchable electronic devices are mechanically compatible with curvilinear contours and can accommodate mechanical deformations. They are emerging with great potentiality in applications that cannot be realized by conventional rigid electronics, such as wearable high-fidelity health monitoring and soft robotics [1,2]. To achieve complex functionality, stretchable devices are generally composed of three individual functional components, that is, soft modules that match the mechanical requirements, rigid modules that contain Si-based microelectronics, and encapsulation modules that provide protection for the device. These various modules are typically assembled into stretchable devices using commercial conductive pastes such as silver pastes and adhesive anisotropic conductive films (ACF). In such case, the modular connection points are the weakest parts of a stretchable device because of the mechanical mismatch between the modules and pastes, which leads to the limited robustness of the device and constrains the function of the device under mechanical deformations [3].
Autoantibodies targeting to GPER1 promote monocyte cytokines production and inflammation in systemic lupus erythematosus

Systemic lupus erythematosus (SLE), one of the most common autoimmune diseases in reproductive females, is a multifactorial disease involving genetic, environmental, and hormonal factors. It occurs at a 9:1 female-to-male ratio, and the sex predisposition suggests that the estrogen system plays an essential role in the developing of SLE. The effects of estrogen have traditionally been attributed to the classical nuclear estrogen receptors (ERs), ERα, and ERβ, which predominantly regulate transcription. Guanine nucleotide-binding protein-coupled estrogen receptor 1 (GPER1) is a transmembrane receptor for estrogen that mediates several rapid cellular effects of estrogen. Large amounts of autoantibodies characterize SLE, and anti-estrogen receptor autoantibodies are likely to affect the function of immune cells in SLE but are not yet fully understood. A high titer of anti-ERα autoantibodies has been identified in patients with SLE and was significantly correlated with disease activity, whereas anti-ERβ antibodies were not present in any of the patients with SLE. In contrast, the presence of anti-GPER1 autoantibodies in patients with SLE remains unstudied. Therefore, this study aimed to identify the pathogenic roles of autoantibodies to GPER1 in SLE.
B cell-derived anti-beta 2 glycoprotein I antibody mediates hyperhomocysteinemia-aggravated hypertensive glomerular lesions by triggering ferroptosis

Hyperhomocysteinemia (HHcy) is a risk factor for chronic kidney diseases (CKDs) that affects about 85% CKD patients. HHcy stimulates B cells to secrete pathological antibodies, although it is unknown whether this pathway mediates kidney injury. In HHcy-treated 2-kidney, 1 -clip (2K1C) hypertensive murine model, HHcy-activated B cells secreted anti-beta 2 glycoprotein I (β_2GPI) antibodies that deposited in glomerular endothelial cells (GECs), exacerbating glomerulosclerosis and reducing renal function. Mechanistically, HHcy 2K1C mice increased phosphatidylethanolamine (PE) (18:0/20:4, 18:0/22:6, 16:0/20:4) in kidney tissue, as determined by lipidomics. GECs oxidative lipidomics validated the increase of oxidized phospholipids upon Hcy-activated B cells culture medium (Hcy-B CM) treatment, including PE (18:0/20:4 + 3[O], PE (18:0a/22:4+ 1[O], PE (18:0/22:4+2[O] and PE (18:0/22:4 + 3[O]). PE synthases ethanolamine kinase 2 (etnk2) and ethanolamine-phosphate cytidylyltransferase 2 (pcyt2) were increased in the kidney GECs of HHcy 2K1C mice and facilitated polyunsaturated PE synthesis to act as lipid peroxidation substrates. In HHcy 2K1C mice and Hcy-B CM-treated GECs, the oxidative environment induced by iron accumulation and the insufficient clearance of lipid peroxides caused by transferrin receptor (TFR) elevation and down-regulation of SLC7A11/glutathione peroxidase 4 (GPX4) contributed to GECs ferroptosis of the kidneys. In vivo, pharmacological depletion of B cells or inhibition of ferroptosis mitigated the HHcy-aggravated hypertensive renal injury. Consequently, our findings uncovered a novel mechanism by which B cell-derived pathogenic anti-β_2GPI IgG generated by HHcy exacerbated hypertensive kidney damage by inducing GECs ferroptosis. Targeting B cells or ferroptosis may be viable therapeutic strategies for ameliorating lipid peroxidative renal injury in HHcy patients with hypertensive nephropathy.
Power generation expansion planning approach considering carbon emission constraints

Decarbonization of the power sector in China is an essential aspect of the energy transition process to achieve carbon neutrality.The power sector accounts for approximately 40% of China's total CO_2 emissions.Accordingly,collaborative optimization in power generation expansion planning (GEP) simultaneously considering economic,environmental,and technological concerns as carbon emissions is necessary.This paper proposes a collaborative mixedinteger linear programming optimization approach for GEP.This minimizes the power system's operating cost to resolve emission concerns considering energy development strategies,flexible generation,and resource limitations constraints.This research further analyzes the advantages and disadvantages of current GEP techniques.Results show that the main determinants of new investment decisions are carbon emissions,reserve margins,resource availability,fuel consumption,and fuel price.The proposed optimization method is simulated and validated based on China's power system data.Finally,this study provides policy recommendations on the flexible management of traditional power sources,the market-oriented mechanism of new energy sources,and the integration of new technology to support the attainment of carbon-neutral targets in the current energy transition process.
Multi-source coordinated stochastic restoration for SOP in distribution networks with a two-stage algorithm

After suffering from a grid blackout,distributed energy resources (DERs),such as local renewable energy and controllable distributed generators and energy storage can be used to restore loads enhancing the system's resilience.In this study,a multi-source coordinated load restoration strategy was investigated for a distribution network with soft open points (SOPs).Here,the flexible regulation ability of the SOPs is fully utilized to improve the load restoration level while mitigating voltage deviations.Owing to the uncertainty,a scenario-based stochastic optimization approach was employed,and the load restoration problem was formulated as a mixed-integer nonlinear programming model.A computationally efficient solution algorithm was developed for the model using convex relaxation and linearization methods.The algorithm is organized into a two-stage structure,in which the energy storage system is dispatched in the first stage by solving a relaxed convex problem.In the second stage,an integer programming problem is calculated to acquire the outputs of both SOPs and power resources.A numerical test was conducted on both IEEE 33-bus and IEEE 123-bus systems to validate the effectiveness of the proposed strategy.
New power system development path mechanism design

Carrying out green energy transformation,implementing clean energy power replacement and supply,and developing a new power system are some primary driving forces needed to fulfill China's carbon-peak and carbon-neutral strategic goals.The construction of new power systems in China's provinces and cities is developing rapidly,and the lack of a typical model promotes the application.The new power system path design should be based on the actual development of the power grid in different regions,energy use characteristics,and other actual needs to carry out the differentiated path design.In this context,this study analyzes the characteristics of the new domestic power system based on the policy background of the new domestic power system,constructs a new model for power system development stage identification,and proposes the overall design of the new power system development path from the power supply,transmission and distribution,and load sides.It also uses the Hebei South Network as an example to explore the development stage of the Hebei South Grid based on actual development needs.Finally,this study designs a novel power system development path for the entire supply and demand chain for the Hebei South Grid to propose ideas for constructing a new power system in China and to help green energy transformation.
Estimation of state of health based on charging characteristics and back-propagation neural networks with improved atom search optimization algorithm

With the rapid development of new energy technologies,lithium batteries are widely used in the field of energy storage systems and electric vehicles.The accurate prediction for the state of health (SOH) has an important role in maintaining a safe and stable operation of lithium-ion batteries.To address the problems of uncertain battery discharge conditions and low SOH estimation accuracy in practical applications,this paper proposes a SOH estimation method based on constant-current battery charging section characteristics with a back-propagation neural network with an improved atom search optimization algorithm.A temperature characteristic,equal-time temperature variation (Dt_DT),is proposed by analyzing the temperature data of the battery charging section with the incremental capacity (IC) characteristics obtained from an IC analysis as an input to the data-driven prediction model.Testing and analysis of the proposed prediction model are carried out using publicly available datasets.Experimental results show that the maximum error of SOH estimation results for the proposed method in this paper is below 1.5%.
Compound Danshen Dripping Pill inhibits hypercholesterolemia/atherosclerosis-induced heart failure in ApoE and LDLR dual deficient mice via multiple mechanisms

Heart failure is the leading cause of death worldwide. Compound Danshen Dripping Pill (CDDP) or CDDP combined with simvastatin has been widely used to treat patients with myocardial infarction and other cardiovascular diseases in China. However, the effect of CDDP on hypercholesterolemia/atherosclerosis-induced heart failure is unknown. We constructed a new model of heart failure induced by hypercholesterolemia/atherosclerosis in apolipoprotein E (ApoE) and LDL receptor (LDLR) dual deficient (ApoE~(-/-)LDLR~(-/-)) mice and investigated the effect of CDDP or CDDP plus a low dose of simvastatin on the heart failure.CDDPorCDDPplus a lowdose of simvastatin inhibited heart injury by multiple actions including anti-myocardial dysfunction and anti-fibrosis. Mechanistically, both Wnt and lysinespecific demethylase 4A (KDM4A) pathways were significantly activated in mice with heart injury. Conversely, CDDP or CDDP plus a low dose of simvastatin inhibited Wnt pathway by markedly upregulating expression of Wnt inhibitors. While the anti-inflammation and anti-oxidative stress by CDDP were achieved by inhibiting KDM4A expression and activity. In addition, CDDP attenuated simvastatininduced myolysis in skeletal muscle. Taken together, our study suggests thatCDDPorCDDPplus a lowdose of simvastatin can be an effective therapy to reduce hypercholesterolemia/atherosclerosis-induced heart failure.
手指操联合温针灸治疗乳腺癌化疗致周围神经病变的疗效观察

目的观察手指操联合温针灸治疗乳腺癌化疗致周围神经病变(CIPN)患者的疗效。方法采用随机数字表法将48例乳腺癌化疗致CIPN患者分为观察组及对照组,每组24例。2组患者均给予常规干预,包括练习写字、在家人陪伴下快走及手指操锻炼等,观察组患者在此基础上辅以温针灸治疗,每周治疗5 d为1个疗程。于治疗前、治疗1个月后分别采用改良Barthel指数量表(MBI)、Berg平衡量表(BBS)、癌症治疗功能评估/妇科肿瘤组神经毒性问卷(FACT/GOG-NTx)、美国国立癌症所-药物常见毒性分级标准(NCI-CTC)对2组患者疗效进行评定。结果治疗后2组患者MBI、BBS及FACT/GOG-NTx评分均较治疗前明显改善(P<0.05),并且观察组患者MBI、BBS及FACT/GOG-NTx评分[分别为(88.75±3.52)分、(52.75±3.38)分及(15.41±5.27)分]亦显著优于对照组水平(P<0.05)。治疗后2组患者周围神经毒性分级程度均低于治疗前水平(P<0.05),并且观察组周围神经毒性分级程度亦较对照组明显减轻(P<0.05)。结论手指操联合温针灸治疗能显著改善乳腺癌化疗致CIPN患者周围神经症状,提高患者平衡功能及日常生活活动能力,该联合疗法值得临床推广、应用。
乳腺非典型腺肌上皮瘤1例

本文报道1例42岁女性乳腺腺肌上皮瘤。患者查体右乳见一明显肿块,质稍硬,无触压痛,皮肤无红肿、破溃,双侧乳头无凹陷,无溢血,可见少量溢液。镜下见肿瘤呈多结节性生长,导管上皮细胞和肌上皮细胞增生,并且以肌上皮细胞增生更明显,局灶有浸润性生长模式,肿瘤细胞胞质丰富、透明,细胞轻至中度异型,细胞核大小不等,可见少量核分裂象(<3个/10 HPF)。免疫组织化学染色:腺上皮细胞表达细胞角蛋白(CK)7;肌上皮细胞表达CK5/6、S-100蛋白、p63、雌激素受体;孕激素受体、突触素、Calponin、肌特异性肌动蛋白、CK10/13、IDH2阴性,Ki-67阳性指数约5%。本例诊断主要结合病理形态学特点及免疫组织化学染色。
人工智能驱动的科学研究新范式:从AI4S到智能科学

近期,以ChatGPT为代表的大模型技术正开启人类社会智能化的新纪元。研究人工智能成功案例背后的技术原理,探索人工智能驱动的科学研究(AI for Science,AI4S)新范式,对促进我国科技进步、增强国家竞争力具有十分重要的意义。文章首先以数学、物理学、生物学、材料科学领域为例,简述AI4S的研究进展。其次,面向近年来最为成功的人工智能范例,分析AlphaFold和ChatGPT的基本原理和关键技术。最后,在以上分析的基础上,从算法、模型、数据、知识、人的因素等角度,总结大模型时代人工智能技术发展新趋势,探讨AI4S研究新范式。
时间化疗在妇科肿瘤治疗中的研究进展

目前,肿瘤是全球常见的疾病,其特征之一是不受控制的增殖。尽管在诊断、手术、化疗和放射治疗方面取得了进展,但恶性肿瘤的存活率仍然很低,在所有疾病中死亡率较高,晚期患者预后差,复发率高。肿瘤的治疗方式多样,包括传统的手术治疗以及各种放化疗。常规化疗药物的用药原则是不断增加化疗剂量,直到达到最大的体细胞毒性和最大的身体耐受剂量,此时虽然能对肿瘤细胞产生较大的杀伤作用,但也对正常细胞造成了较大范围的不可逆性损伤。时间化疗则是选择在化疗药物作用最佳的时间段给药,不但可提高药物的有效性,而且还可降低对正常细胞的毒性,尽快控制病情,延长患者的生存期。目前,时间化疗已经用于不同肿瘤的治疗,尤其是在妇科肿瘤方面,其作为一种可供选择的治疗手段在临床上得到了一定的应用。本文就生物钟节律的发生机制、肿瘤与生物钟节律的相关性、时间化疗药物的作用机制以及时间化疗在肿瘤治疗中的应用进行阐述。
新型冠状病毒感染住院患者肠外肠内营养支持策略循证建议(2023)

自2019年底新型冠状病毒感染(coronavirus disease 2019,COVID-19) (以下简称新冠感染)在全球范围内爆发以来,因其传播速度快、致病性强的特性,造成了破坏性的医疗、经济和社会负担。自2022年以来奥密克戎变异株已经成为全球主要毒株。其传播性更强、发生免疫逃逸的可能性更大,感染者除出现咽部不适、咳嗽和发热等主要症状外,还可能伴有恶心、腹泻、胃纳减退等消化道症状,严重者快速进展为急性呼吸窘迫综合征、脓毒症休克和多器官功能衰竭。其中,老年、合并慢性基础性疾病和免疫力低下的感染者更易进展为重症。部分患者会因消化道症状导致营养素摄入不足或吸收障碍而引发营养不良。对于重症患者而言,大量炎性因子的释放引发免疫-内分泌-代谢的瀑布级联反应,造成代谢功能严重失调,加重营养不良的发生发展。国家卫生健康委员会最新公布的《新型冠状病毒感染诊疗方案(试行第十版)》指出,应当加强支持治疗,保证充分能量摄入。医学营养治疗应当贯穿新冠感染的预防、治疗和恢复全过程。
海洋三维大地电磁的两步反演法: 模型测试

大地电磁(MT)响应的反演已被广泛用于探索地球内部的电导率分布.因为大多数三维反演方法的反演结果都会受到初始模型的影响,因此在三维大地电磁反演中,使用好的初始模型非常重要.尽管均匀初始模型广泛用于三维反演,但一维的初始模型也是个不错的选择,因为一维模型较均匀模型可以更恰当地描绘地球内部的实际电导率变化.本研究提出了一种分两步进行的三维反演方法,该反演方法尤其适用于海洋大地电磁研究.该方法首先反演得到一维初始模型,进而依此反演三维电导率结构,并且这两次反演中均考虑了表层三维地形变化.该方法测试了含有不同地形变化(凹陷、平滑变化、槽形和方形高原地形)和不同三维棋盘类型异常(尖锐或平滑横向电导率变化)的三维电导率模型.文章比较了基于所提出方法获得初始模型和基于地形校正方法得到的初始模型,还对基于本研究方法得到的三维反演结果与基于不同的均匀初始模型得到的反演结果进行了比较.利用新引入的模型矢量参数的方向信息讨论了这些反演的结果,验证了该方法的性能和有效性.文章还揭示了新引入的模型向量参数可用于显示反演的收敛性,将有助于选择合适的反演模型.
合成生物开启生物医药崭新篇章:预防、诊断与治疗

合成生物学作为一门以设计为导向的新兴交叉学科,通过学习生命进而重新设计生物系统,使其以可预测的方式执行新的功能。21世纪以来,合成生物学成为国际科学前沿热点,在资金方面,除政府外,私人机构也通过提供资金来支持合成生物学在医学领域的研究和应用,以加速其发展[1-3]。在科学界,研究者积极推动合成生物学的技术创新,国际间的科技合作也为其快速发展提供了机遇。合成生物学技术在医学领域也已初绽光彩,应用于疾病发生发展的各个阶段,包括并不限于预防、诊断和治疗等过程,并且正在展现出强大的潜力。