mlsa-iai-msu-lab/ru_sci_bench_zho_cite_reranking huggingface dataset:
Boosting cartilage repair with silk fibroin-DNA hydrogel-based cartilage organoid precursor

Osteoarthritis (OA), a common degenerative disease, is characterized by high disability and imposes substantial economic impacts on individuals and society. Current clinical treatments remain inadequate for effectively managing OA. Organoids, miniature 3D tissue structures from directed differentiation of stem or progenitor cells, mimic native organ structures and functions. They are useful for drug testing and serve as active grafts for organ repair. However, organoid construction requires extracellular matrix-like 3D scaffolds for cellular growth. Hydrogel microspheres, with tunable physical and chemical properties, show promise in cartilage tissue engineering by replicating the natural microenvironment. Building on prior work on SF-DNA dual-network hydrogels for cartilage regeneration, we developed a novel RGD-SF-DNA hydrogel microsphere (RSD-MS) via a microfluidic system by integrating photopolymerization with self-assembly techniques and then modified with Pep-RGDfKA. The RSD-MSs exhibited uniform size, porous surface, and optimal swelling and degradation properties. In vitro studies demonstrated that RSD-MSs enhanced bone marrow mesenchymal stem cells (BMSCs) proliferation, adhesion, and chondrogenic differentiation. Transcriptomic analysis showed RSD-MSs induced chondrogenesis mainly through integrin-mediated adhesion pathways and glycosaminoglycan biosynthesis. Moreover, in vivo studies showed that seeding BMSCs onto RSD-MSs to create cartilage organoid precursors (COPs) significantly enhanced cartilage regeneration. In conclusion, RSD-MS was an ideal candidate for the construction and longterm cultivation of cartilage organoids, offering an innovative strategy and material choice for cartilage regeneration and tissue engineering.
The Stokes-Einstein-Debye relation in orthoterphenyl liquid

The Stokes-Einstein-Debye(SED) relation is proposed to be broken down in supercooled liquids by many studies. However, conclusions are usually drawn by testing some variants of the SED relation rather than its original formula. In this work, the rationality of the SED relation and its variants is examined by performing molecular dynamics simulations with the Lewis- Wahnstrom model of ortho-terphenyl(OTP). The results indicate the original SED relation is valid for OTP but the three variants are all broken down. The inconsistency between the SED relation and its variants is analyzed from the heterogeneous dynamics, the adopted assumptions and approximations as well as the interactions among molecules. Therefore, care should be taken when employing the variants to judge the validity of the SED relation in supercooled liquids.
Preparation and characterization of pH-responsive metal-polyphenol structure coated nanoparticles

In this paper,tannic acid (TA) and Fe~(3+) were added to form a layer of metal-polyphenol network structure on the surface of the nanoparticles which were fabricated by zein and carbon quantum dots (CQDs) encapsulating phlorotannins (PTN).pH-Responsive nanoparticles were prepared successfully (zein-PTN-CQDs-Fe~III).Further,the formation of composite nanoparticles was confirmed by a series of characterization methods.The zeta-potential and Fourier transform infrared spectroscopy data proved that electrostatic interaction and hydrogen bonding are dominant forces to form nanoparticles.The encapsulation efficiency (EE) revealed that metal-polyphenol network structure could improve the EE of PTN.Thermogravimetric analysis and differential scanning calorimetry experiment indicated the thermal stability of zein-PTN-CQDs-Fe~III nanoparticles increased because of metal-polyphenol network structure.The pH-responsive nanoparticles greatly increased the release rate of active substances and achieved targeted release.
Kummell病治疗面临的挑战及策略

Kummell病,又称创伤后迟发性缺血性椎体骨坏死,是临床上一种较为少见的特殊类型骨质疏松性椎体压缩骨折,首次在1895年由Kummell提出。患者通常在遭受轻微外伤或无明显原因出现脊柱疼痛,在一段无症状期后,再次出现症状性且逐渐加重的背痛,并可能导致椎体塌陷和脊柱后凸畸形。由于该病症状出现缓慢且隐匿,常常导致诊断和治疗的延误。若未得到及时治疗,患者可能会遭受持续且难以缓解的腰背部疼痛,或伴有严重的神经损伤表现,严重影响其生活质量。
Vacuolar proteomic analysis reveals tonoplast transporters for accumulation of citric acid and sugar in citrus fruit

Vacuole largely dictates the fruit taste and flavor,as most of the sugars and organic acids are stored in the vacuoles of the fruit. However,difficulties associated with vacuole separation severely hinder identification and characterization of vacuolar proteins in fruit species. In this study,we established an effective approach for separating vacuoles and successfully purified vacuolar protein from six types of citrus fruit with varying patterns of sugar and organic acid contents. By using label-free LC-MS/MS proteomic analysis,1443 core proteins were found to be associated with the essential functions of vacuole in citrus fruit. Correlation analysis of metabolite concentration with proteomic data revealed a transporter system for the accumulation of organic acid and soluble sugars in citrus. Furthermore,we characterized the physiological roles of selected key tonoplast transporters,ABCG15,Dict2.1,TMT2,and STP7 in the accumulation of citric acid and sugars. These findings provide a novel perspective and practical solution for investigating the transporters underlying the formation of citrus taste and flavor.
儿童盖氏等样损伤一例

盖氏等样损伤十分罕见,需临床医师提高认识,重视鉴别,避免误、漏诊的发生;其中骨骺损伤很难根据Salter-Harris分型进行预后评估,骨骺早闭、生长停滞,桡尺远侧关节畸形,需长期的观察随访。
从五体痹和五脏痹分层论治系统性红斑狼疮

系统性红斑狼疮病因复杂,临床表现多样,中医药治疗具有一定优势。本文从五体痹、五脏痹病因、症状角度出发,分层论治SLE各种系统表现。皮肤红斑(皮痹)当以养阴清热为先,血管炎表现(脉痹)重在活血化瘀,筋挛节痛(筋痹)治以祛邪柔肝;肌肉麻木、痿软不利(肌痹)应健脾固本;关节表现(骨痹)重视平补肝肾;肝脏受累(肝痹)需辨虚实,实则疏肝,虚则养肝;心脏受累(心痹)养心同时不忘疏肝;消化系统受累(脾痹)全程注意固护后天之本;肺脏受累(肺痹)应根据不同阶段及临床表现,分别施以祛风散寒、清热化痰、宣肺止咳、养阴润肺之法;肾脏受累(肾痹)注意分期辨治,早期清肾益肾,后期补肾填精兼祛痰瘀。
TiO_2 photocatalytic ceramic membranes for water and wastewater treatment:Technical readiness and pathway ahead

TiO_2 is one of the best-known environmentally friendly photocatalysts that has demonstrated the great potential to degrade a wide variety of organic foulants in water and wastewater treatment when placed under UV radiation.Currently,TiO_2 -based photocatalytic membranes are at the forefront of photodegradation research and technical readiness.The membrane setup provides a high contact surface area for effective filtration and degradation,without the necessary hassle of photocatalyst recovery after water and wastewater treatment.Meanwhile,TiO_2 photocatalytic ceramic membranes have become an emerging research area due to the inherent chemical and mechanical stability of ceramic membranes,which enables them to outperform polymeric membranes.With the recent shift from polymeric to ceramic membranes in industrial applications,TiO_2 photocatalytic ceramic membranes will become a key player among the next-generation ceramic membranes,as they are capable of multiple functionalities.This review provides a timely and focused investigation into the fabrication and application of such TiO_2 photocatalytic ceramic membranes for water and wastewater treatment.The benefits of using photocatalytic ceramic membranes in filtration,such as a higher foulant removal efficiency,higher water permeability,and much improved antifouling capabilities,are highlighted and explained.Finally,the current research,technical readiness,and remaining gaps are identified,and a set of critical insights are provided using the available data to guide the developmental pathway of practical TiO_2 photocatalytic ceramic membranes for water and wastewater treatment.
Preparation and up-conversion luminescence properties of Er: YbAG and Er: YAG single crystals

High quality optical single crystals of cubic Yb_(2.96)Er_(0.04)Al_5O_(12) and Y_(2.96)Er_(0.04)Al_5O_(12) were successfully prepared using the OFZ method. The 980 nm photon absorption intensity by Yb_(2.96)Er_(0.04)Al_5O_(12) crystal is much larger than that in Y_(2.96)Er_(0.04)Al_5O_(12) crystal, the transmission of Yb_(2.96)Er_(0.04)Al_5O_(12) crystal is lower than that of Y_(2.96)Er_(0.04)Al_5O_(12) crystal, because the density of Yb_(2.96)Er_(0.04)Al_5O_(12) single crystal (6.604 g/cm~3) is larger than that of Y_(2.96)Er_(0.04)Al_5O_(12) single crystal (4.529 g/cm~3). The up-conversion luminescence spectra of the crystals excited by 980 nm laser show several distinct groups of emission peaks at ~544 and ~556 nm, as well as ~650 and ~667 nm. The peak intensities of the up-conversion luminescence spectrum for the Yb_(2.96)Er_(0.04)Al_5O_(12) crystal were much higher than those for the Y_(2.96)Er_(0.04)Al_5O_(12) crystal. Overall, the results of the present study suggest that Yb_(2.96)Er_(0.04)Al_5O_(12) single crystal may have advantages over Y_(2.96)Er_(0.04)Al_5O_(12) single crystal for luminescence in solid-state lasers.
A signaling cascade mediating fruit trait development via phosphorylation-modulated nuclear accumulation of JAZ repressor

It is generally accepted that jasmonate-ZIM domain (JAZ) repressors act to mediate jasmonate (JA) signaling via CORONATINE-INSENSITIVE1 (COI1)-mediated degradation. Here, we report a cryptic signaling cascade where a JAZ repressor, FvJAZ12, mediates multiple signaling inputs via phosphorylation-modulated subcellular translocation rather than the COI1-mediated degradation mechanism in strawberry (Fragaria vesca). FvJAZ12 acts to regulate flavor metabolism and defense response, and was found to be the target of FvMPK6, a mitogen-activated protein kinase that is capable of responding to multiple signal stimuli. FvMPK6 phosphorylates FvJAZ12 at the amino acid residues S179 and T183 adjacent to the PY residues, thereby attenuating its nuclear accumulation and relieving its repression for FvMYC2, which acts to control the expression of lipoxygenase 3 (FvLOX3), an important gene involved in JA biosynthesis and a diverse array of cellular metabolisms. Our data reveal a previously unreported mechanism for JA signaling and decipher a signaling cascade that links multiple signaling inputs with fruit trait development.
Study on the vertical deformations induced by terrestrial water storage changes in Huang-Huai-Hai river basin

Terrestrial water storage (TWS) variations are associated with water mass movements,which may cause the deformation displacements of the Global Navigation Satellite System (GNSS) stations.This study investigates the spatio-temporal TWS variations and addresses the relationship between deformation variations observed in the Huang-Huai-Hai River Basin (HHHRB) and local hydrological features.Results indicate that the vertical velocities at the GNSS stations induced by TWS changes are relatively small,and the impacts of the terrestrial water storage changes are mainly reflected in the changes of seasonal characteristics.Although there is a downward TWS trend from 2011 to 2022 in most HHHRB areas,velocities from the vertical displacements of both Gravity Recovery and Climate Experiment (GRACE) and GRACE Follow-On (GFO) and the GNSS reflect that the HHHRB is undergoing an uplift process,while the magnitude of the GRACE/GFO derived velocities is much smaller than that of the GNSS solutions.Common hydrological deformations estimated from GRACE/GFO and GNSS measurements reveal that the TWS-derived displacements can explain 54.5% of the GNSS seasonal variations,with the phases of terrestrial water storage advancing by about one month relative to GNSS common signal phases.Moreover,the decrease of the groundwater storage in the HHHRB has been accelerating since 2008.After reaching its lowest level around mid-2020,it began to rise rapidly,which might be closely related to the implementation of the South-North Water Transfer Central Project.
Grain-filling strategies of wheat of contrasting grain sizes under various planting patterns and irrigation levels

In a study comparing grain filling and yield in a large- and a small-grain-size wheat cultivar under two planting patterns and two irrigation regimes, plastic-covered ridge and furrow planting with sprinkler irrigation increased grain filling and yield in both cultivars. The largest contributors to grain yield were an extended active grain-filling period in Shuangda 1 and an increased mean grain-filling rate in XN538.
Interferon-induced MXB protein restricts vimentin-dependent viral infection

Type I interferon (IFN) inhibits a wide spectrum of viruses through stimulating the expression of antiviral proteins. As an IFN-induced protein, myxovirus resistance B (MXB) protein was reported to inhibit multiple highly pathogenic human viruses. It remains to be determined whether MXB employs a common mechanism to restrict different viruses. Here, we find that IFN alters the subcellular localization of hundreds of host proteins, and this IFN effect is partially lost upon MXB depletion. The results of our mechanistic study reveal that MXB recognizes vimentin (VIM) and recruits protein kinase B (AKT) to phosphorylate VIM at amino acid S38, which leads to reorganization of the VIM network and impairment of intracellular trafficking of virus protein complexes, hence causing a restriction of virus infection. These results highlight a new function of MXB in modulating VIM-mediated trafficking, which may lead towards a novel broad-spectrum antiviral strategy to control a large group of viruses that depend on VIM for successful replication.
室温下10 W级高效率2.8 μm掺Er~(3+)氟化物光纤激光器

中红外光纤激光器在激光医疗、聚合物加工、气体探测、定向干扰等领域具有重要应用,而更高功率、更高效率则是研究人员一直追求的目标。目前,基于掺Er~(3+)氟化物光纤4I11/2→4I13/2能级跃迁的2.8 μm激光器是中红外波段成熟度最高、性能最好的光纤激光系统。借助高浓度掺杂下离子间高效的能量传递过程,加拿大拉瓦尔大学研究团队利用980 nm激光二极管(LD)泵浦掺杂Er~(3+)的摩尔分数为7%的氟化物光纤,在2824 nm获得了41.6 W的连续激光,斜率效率为22.9%,这是目前中红外连续光纤激光器的最高功率水平[1]。为了降低系统热载,该团队又利用980 nm LD泵浦掺杂Er~(3+)的摩尔分数为1%的氟化物光纤,通过构建复合腔级联1.6 μm激光,借助再吸收过程对粒子进行循环利用来提升2.8 μm波段的斜率效率,最终在2825 nm获得了约13 W的连续激光输出,斜率效率为49.5%[2]。最近,电子科技大学研究团队利用1.69 μm随机光纤激光器泵浦掺杂Er~(3+)的摩尔分数为1.5%的氟化物光纤,利用共振级联的基态(GSA)和激发态(ESA)吸收过程(如图1插图所示),在2783 nm获得了输出功率大于6 W的连续激光,斜率效率为58.4%,这也是目前报道的该波段下的最高效率水平[3]。
What control the spatial patterns and predictions of runoff response over the contiguous USA?

Understanding the nonlinear relationship between hydrological response and key factors and the cause behind this relationship is vital for water resource management and earth system model. In this study, we undertook several steps to explore the relationship. Initially, we partitioned runoff response change (RRC) into multiple components associated with climate and catchment properties, and examined the spatial patterns and smoothness indicated by the Moran's Index of RRC across the contiguous United States (CONUS). Subsequently, we employed a machine learning model to predict RRC using catchment attribute predictors encompassing climate, topography, hydrology, soil, land use/cover, and geology. Additionally, we identified the primary factors influencing RRC and quantified how these key factors control RRC by employing the accumulated local effect, which allows for the representation of not only dominant but also secondary effects. Finally, we explored the relationship between ecoregion patterns, climate gradients, and the distribution of RRC across CONUS. Our findings indicate that: (1) RRC demonstrating significant connections between catchments tends to be well predicted by catchment attributes in space; (2) climate, hydrology, and topography emerge as the top three key attributes nonlinearly influencing the RRC patterns, with their second-order effects determining the heterogeneous patterns of RRC; and (3) local Moran's I signifies a collaborative relationship between the patterns of RRC and their spatial smoothness, climate space, and ecoregions.
Role of knowledge economy in managing demand-based environmental Kuznets Curve

Aggregate demand or supply at equilibrium is commonly used as a representative of the macroeconomic activity of an economy whereby aggregate demand denotes the behaviour of individuals and households. However, aggregate demand can also directly affect environmental deterioration via changes in aggregate production. This study tried to explore this relationship, known as the demand-based Environmental Kuznets Curve(Demand EKC) and the role of different knowledge economy indicators. Knowledge economy indicators are proposed to influence consumption patterns, altering the demand EKC that empirical studies have understudied. For this purpose, secondary data for 147 countries were collected from 2008 to 2018, also classified as development-wise. This study found that aggregate demand significantly affects carbon emissions. The long-run results are estimated using the Fully Modified Ordinary Least Square method. Controlling factors like renewable energy consumption, population density, and financial development significantly affect carbon emissions in sample countries. This study has incorporated four pillars of a knowledge-based economy and the results showed that these indicators helped reduce consumption-related CO_2 emissions.
Is the spatial impact of digital financial inclusion on CO_2 emissions real? A spatial fluctuation spillover perspective

Digital financial inclusion(DFI) has the advantage of promoting information sharing, reducing transaction costs, and providing microloan platforms for small and medium-sized enterprises. It has also made outstanding contributions to decreasing CO_2 emissions. However, the volatility correlation between DFI and CO_2 emissions is still relatively unexplored. This research uses the spatial autoregressive process with conditional heteroscedastic errors(SARspARCH) model to evaluate the spatial fluctuation spillover impacts of DFI on CO_2 emissions in 284 Chinese cities covering the period 2011-2016 following the IPAT model. The results indicate that CO_2 emissions have significant spatial spillover and volatility effects. The fitted value of SARspARCH estimation results is more realistic than the SAR and spARCH model. DFI alleviates average CO_2 emissions in Chinese cities. Moreover, spatial volatility weakens the negative influence of DFI on average carbon emissions. This study provides insights from which governments can strengthen inter-regional communication and synergistic emission-reduction capabilities, and promote the digitization of the financial sector to achieve carbon neutrality goals.
Artificial Intelligence: A new era for spatial modelling and interpreting climate-induced hazard assessment

The application of Artificial Intelligence in various fields has witnessed tremendous progress in the recent years. The field of geosciences and natural hazard modelling has also benefitted immensely from the introduction of novel algorithms, the availability of large quantities of data, and the increase in computational capacity. The enhancement in algorithms can be largely attributed to the elevated complexity of the network architecture and the heightened level of abstraction found in the network's later layers. As a result, AI models lack transparency and accountability, often being dubbed as "black box" models. Explainable AI(XAI) is emerging as a solution to make AI models more transparent, especially in domains where transparency is essential. Much discussion surrounds the use of XAI for diverse purposes, as researchers explore its applications across various domains. With the growing body of research papers on XAI case studies, it has become increasingly important to address existing gaps in the literature. The current literature lacks a comprehensive understanding of the capabilities, limitations, and practical implications of XAI. This study provides a comprehensive overview of what constitutes XAI, how it is being used and potential applications in hydrometeorological natural hazards. It aims to serve as a useful reference for researchers, practitioners, and stakeholders who are currently using or intending to adopt XAI, thereby contributing to the advancements for wider acceptance of XAI in the future.
Self-templating synthesis of biomass-based porous carbon nanotubes for energy storage and catalytic degradation applications

Dwindling energy sources and a worsening environment are huge global problems, and biomass wastes are an under-exploited source of material for both energy and material generation. Herein, self-template decoction dregs of Ganoderma lucidum-derived porous carbon nanotubes (ST-DDLGCs) were synthesized via a facile and scalable strategy in response to these challenges. ST-DDLGCs exhibited a large surface area (1731.51 m~2 g~(-1)) and high pore volume (0.76 cm~3 g~(-1)), due to the interlacing tubular structures of precursors and extra-hierarchical porous structures on tube walls. In the ST-DDLGC/PMS system, the degradation efficiency of capecitabine (CAP) reached ~97.3% within 120 min. Moreover, ST-DDLGCs displayed high catalytic activity over a wide pH range of 3-9, and strong anti-interference to these typical and ubiquitous anions in wastewater and natural water bodies (i.e., H_2PO_4~-, NO_3~-, Cl~-and HCO_3~-), in which a ~1O_2-dominated oxidation was identified and non-radical mechanisms were deduced. Additionally, ST-DDLGC-based coin-type symmetrical supercapacitors exhibited outstanding electrochemical performance, with specific capacitances of up to 328.1 F g~(-1) at 0.5 A g~(-1), and cycling stability of up to 98.6% after 10,000 cycles at a current density of 2 A g~(-1). The superior properties of ST-DDLGCs could be attributed to the unique porous tubular structure, which facilitated mass transfer and presented numerous active sites. The results highlight ST-DDLGCs as a potential candidate for constructing inexpensive and advanced environmentally functional materials and energy storage devices.
Autonomous Leader–Follower Formation of Vehicular Robots Using the Lyapunov Method

This paper focuses on the control of two self-driven vehicles (leader–follower) in a multi-obstacle environment, while maintaining formation. The acceleration-based control input design governs the overall movement and control of the rovers. This is accomplished through the application of APF functions that support the leader robot to reach the desired target while avoiding obstacles and maintaining formation. The Lyapunov theorem was used for the control design of the leader and follower vehicles. An effective mathematical model was designed and run through the MATLAB software for simulation verification. The simulation results obtained illustrate the behavior of the leader–follower vehicles with respect to the controllers designed. Therefore, this paper looks at the efficiency of the vehicles to converge at a predefined target, from random points in a predefined workspace, while avoiding fixed and moving obstacles. The technique may be applied in transportation and defense sectors where environments are a risk prone to human health or safety.
骨组织稳态内感知调节机制的研究进展

神经系统可以感知骨骼组织的信号并做出反应,这一过程称为骨骼的内感知。内感知对于骨骼组织的稳态具有重要作用。感觉神经广泛分布于骨骼组织,将内感知信号传递到中枢神经系统(central nervous system,CNS)。下丘脑位于CNS,通过自主神经系统(autonomic nervous system,ANS)神经肽的释放和神经内分泌机制,在处理骨骼内感知信号和调节骨稳态中发挥关键作用。骨组织稳态的内感知调节是骨骼研究的一个新兴领域,笔者就内感知如何调节骨组织稳态以及内感知与骨骼疾病的关系及潜在的治疗策略进行综述。
家养牦牛和野血牦牛空肠、盲肠及粪便微生物组成差异化分析

为比较藏西北高原野血牦牛和家养牦牛肠道及粪便菌群组成的差异,本试验分别选取体重、体况相近且健康无病的1周岁野血牦牛和家养牦牛各10头(公母各半),于2021年10月屠宰取空肠、盲肠内容物和粪便样品,测定微生物多样性指标。结果表明:①与家养牦牛相比,野血牦牛空肠中,门水平放线菌门(Actinobacteria)相对丰度降低(P <0.01),变形菌门(Proteobacteria)相对丰度升高(P <0.01);属水平梭菌属(Clostridium )和假单胞菌属(Pseudomonas )相对丰度升高(P <0.01),艰难梭菌属(Mogibacterium )、瘤胃群菌属(Ruminococcus )和低嗜盐细菌数(Dehalobacterium )相对丰度降低(P <0.05);②与家养牦牛相比,野血牦牛盲肠中,门水平蓝藻门(Cyanobacteria)相对丰度升高(P <0.05);属水平梭菌属(Clostridium )和SMB53相对丰度降低(P <0.01),5-7N15相对丰度升高(P <0.01),Turicibacter相对丰度降低(P <0.05)。 ③与家养牦牛相比,野血牦牛粪便中,门水平拟杆菌门(Bacteroidetes)相对丰度升高(P <0.01),螺旋体门(Spirochaetes)相对丰度降低(P <0.05);属水平梭菌属(Clostridium )相对丰度降低(P <0.01),多雷亚(Dorea )(P <0.01)、5-7N15(P <0.05)升高。综合以上所述,野血牦牛对高海拔寒冷地区的适应能力强于家养牦牛,家养牦牛和野血牦牛肠道和粪便的菌群组成存在差异。