mlsa-iai-msu-lab/ru_sci_bench_zho_cite_reranking huggingface dataset:
Dynamic Spectrum Anti-Jamming with Distributed Learning and Transfer Learning

Physical-layer security issues in wireless systems have attracted great attention. In this paper, we investigate the spectrum anti-jamming (AJ) problem for data transmissions between devices. Considering fast-changing physical-layer jamming attacks in the time/frequency domain, frequency resources have to be configured for devices in advance with unknown jamming patterns (i.e. the time-frequency distribution of the jamming signals) to avoid jamming signals emitted by malicious devices. This process can be formulated as a Markov decision process and solved by reinforcement learning (RL). Unfortunately, stateof- the-art RL methods may put pressure on the system which has limited computing resources. As a result, we propose a novel RL, by integrating the asynchronous advantage actor-critic (A3C) approach with the kernel method to learn a flexible frequency pre-configuration policy. Moreover, in the presence of time-varying jamming patterns, the traditional AJ strategy can not adapt to the dynamic interference strategy. To handle this issue, we design a kernelbased feature transfer learning method to adjust the structure of the policy function online. Simulation results reveal that our proposed approach can significantly outperform various baselines, in terms of the average normalized throughput and the convergence speed of policy learning.
BnGLO4 gene cloning and bioinformatics analysis in Brassica napus L

High oleic acid rapeseed oil offers superior nutritional and health benefits, but its mass production is limited due to poor resistance and slightly lower yield. Photosynthesis serves as the foundation of biological survival and closely correlates with crop resistance to stresses, yield, and quality. To identify photosynthesis-related genes, transcriptome sequencing was conducted on high oleic acid rapeseed Gaoyousuan No. 1 and low oleic acid rapeseed Xiangyou 15 resulting in the identification of a total of 9396 differentially expressed genes(4669 upregulated and 4727 down-regulated). From these genes nine candidate genes were screened using GO and KEGG analysis with BnGLO4 being selected for cloning purposes. The BnGLO4 gene fragment has a length of 1161 bp with an ORF sequence of 1092 bp encoding a theoretical isoelectric point of pI 7.60; it encodes an unstable lipid-soluble protein localized in peroxisomes without transmembrane structural domains or signal peptides. Its amino acid sequence homology was highest with that of BnaA01G0355200ZS, BnaA01G0355600ZS, BnaA05G0410400ZS, BnaC01G0441800ZS, and Brassica rapa(XP_0091171 45.1), Brassica napus(CDY39100.1), Brassica cretica(KAF3533604.1) and Brassica oleracea var. oleracea(XP_0136106 44.1) belonging to the same cruciferous family. The BnGLO4 gene may be associated with responses to abiotic stresses such as salt, drought, and temperature extremes along with photosynthesis and growth in rapeseed plants. The expression levels of the GLO4 gene(BnaA01G0355200 ZS) were highest in filaments while being higher at each stage in seeds and siliques with the highest expression level at day 14 in seeds. Expression was significantly upregulated after 3 h of salt stress treatment, reaching a maximum at 12 h before slightly decreasing at 24 h. The findings of this study lay a foundation for further investigation on photosynthesis and stress response in high oleic rapeseed.
间充质干细胞移植治疗椎间盘退变植入途径的研究进展

慢性腰痛(low back pain,LBP)与椎间盘退变(intervertebral disc degeneration,IDD)密切相关,约40%的LBP由IDD引起。IDD的过程主要是髓核细胞活性和数目的减少及细胞外基质(extracellular matrix,ECM)分解,伴各种炎症因子的表达,最终导致椎间盘水分的丢失及高度的降低。IDD也会造成纤维环的破裂或椎间隙变窄,在腰椎IDD的基础上形成的腰椎间盘突出、腰椎管狭窄和腰椎滑脱等,引起LBP。目前LBP的传统治疗包括保守治疗和手术治疗,保守治疗仅能部分缓解临床症状,而手术会导致腰椎活动度的下降和相邻节段椎间盘退变加速等。有研究显示,对于IDD引起的慢性LBP,手术后症状改善情况并不优于保守治疗,均难以控制或逆转IDD的病理过程。干细胞通过内源性修复的机制,可逆转IDD的病理过程。
产双羔象雄半细毛羊血浆代谢特异表达模式分析

本研究采用非靶标代谢组学研究方法分别对乏情期和发情期产双羔和产单羔象雄半细毛羊血浆中代谢物的表达模式进行了研究。结果显示,在正离子模式下乏情期有72种代谢物在产双羔绵羊中出现了差异表达,发情期则有41种代谢物出现了差异表达,负离子模式下,则分别发现了44种和28种含量差异代谢物。偏最小二乘法判别分析(PLS-DA)和聚类分析显示,无论是在乏情期还是发情期,产双羔母羊的血浆中代谢物的含量呈现出有别于产单羔羊的模式。KEGG富集分析显示,产双羔母羊特异表达的代谢物主要与氨基酸及脂类代谢途径相关。同时,研究还发现单磷酸尿苷、二氢叶酸、β -雌二醇、前列腺素、雌马酚等代谢物的含量在产双羔羊血浆中出现了明显的特异表达,其可作为产双羔羊候选标志物进一步研究。本研究结果表明产双羔象雄半细毛羊血浆中存在着特异的代谢物表达模式,相关数据能够促进藏绵羊的产双羔性状研究和利用工作。
湖南省养老机构吞咽障碍照护者健康管理认知与培训需求的调查

第七次全国人口普查结果显示,我国60岁及以上人口为26402万人,占18.70%,其中65岁及以上人口为19064万人,占13.50%。人口老龄化程度持续加深。与人口老龄化、高龄化伴随而来的生活照料、健康管理等社会问题日益凸显,更多的老年人选择入住养老机构,期望得到高质量的养老服务,实现"幸福养老"。据报道,60岁及以上老年人吞咽障碍发生率为13%,在养老机构老年人吞咽障碍发生率约30%。欧洲吞咽障碍协会发布的白皮书中已将吞咽障碍纳入老年综合征的表现之一。研究表明,科学规范的吞咽障碍健康管理可降低营养不良、脱水、误吸等不良并发症的发生率。养老机构吞咽障碍照护者是吞咽障碍老年人日常起居生活的直接照顾者,其吞咽障碍健康管理知识水平是老年人饮食安全和生活质量的关键,直接影响养老机构照护服务质量。据"第七次全国人口普查"数据分析,目前我国老年人口占比地区差异明显,省际之间差异多样,湖南省是全国12个中度老龄化水平省份之一,2021年,湖南省已建成养老机构2403所,本研究选取湖南省养老机构吞咽障碍照护者,运用问卷调查法调研其吞咽障碍健康管理知识水平与培训需求,为养老机构提升吞咽障碍健康管理服务质量提供参考。
易筋经在骨骼肌减少症中的潜在作用

截止2020年底,我国老年人口数量位居全球榜首,人口老龄化进程的不断加剧造成了骨骼肌减少症(肌少症,sarcopenia)患病率的攀升。据推测,全球目前约有5000万人罹患肌少症,预计至2050年,患病人数将高达5亿。肌少症起病隐匿,常表现为增龄性的肌纤维萎缩,肌肉数量、力量下降,易诱发患者平衡等功能障碍,增加老年人跌倒、骨折甚至死亡的风险,严重威胁老年人的生活质量,同时也加重了医疗系统和社会的负担。运动是维持并增强肌量和肌力最有效的方式,其中,抗阻运动效果最好,有氧运动次之。但有研究显示,由于安全和外界支持问题,老年人对抗阻运动缺乏积极性,参与度不高,临床应用难度大。易筋经是我国中医传统运动疗法之一,属于有氧运动范畴,有研究指出,易筋经治疗肌少症具有显著疗效,但由于缺少系统研究和推广支持,流传度并不高。本文将结合易筋经的治疗机制,对易筋经在肌少症治疗中的作用做一综述,以期夯实易筋经的理论基础,扩大易筋经的影响度,并促进肌少症新疗法的形成。
Zeolitic imidazolate framework-8 modified poly(vinylidene fluoride-cohexafluoropropylene)/polyacrylonitrile composite separators for Li-ion batteries

As one of the most stable metal-organtic framework (MOF), zeolitic imidazolate framework-8 (ZIF-8) has been widely studied for applications in the field of energy storage, catalysis, and environment protection. In this paper, ZIF-8 was employed to enhance the electrochemical properties and thermal stability of the electrospun poly(vinylidene fluoride-co-hexafluoropropylene)/polyacrylonitrile (PVDF-HFP/PAN) composite separator. The results indicate that the test cells assembled with the composite separators show improved rate capability, high discharge capacity, and stable cycling performances. The addition of ZIF-8 can improve the affinity of PVDF-HFP/PAN toward liquid electrolytes, and further enhance the ionic conductivity of the composite separators. In addition, the thermal stability of the PVDF-HFP/PAN separator has been improved by ZIF-8 nanoparticles. This work can provide insight into the application of MOF materials in Li-ion batteries.
Fabrication of electrical semi-conductive SiCN ceramics by vat photopolymerization

The emergence of additive manufacturing(AM) enables ceramics to be fabricated with customized geometry, and polymer-derived ceramics(PDCs) has attracted growing attention owing to their irreplaceable advantages. The combination of 3D printing and PDCs endows the resultant ceramics with both precision and performance. However, AM of ceramics from preceramic polymers is still challenging, and insufficient investigation of functionality also limits the versatility of precursor and its derived ceramics. Herein, we propose a novel paradigm for 3D printing dense silicon carbonitride ceramic and study its electrical semiconducting properties. The formulated photosensitive precursor inks could achieve self-polymerization and cross-linking under the radiation of UV light(405 nm). The green body with intricate structures is fabricated by digital light processing(DLP). Lightweight(1.79-2.08 g cm~(-3)) and low porosity( < 5%) amorphous ceramics were obtained after thermal treatments. Processes of cross-linking, decomposition, and ceramization are monitored and analyzed. Furthermore, the semi-conducting behaviors of resultant ceramics are identified where the conductivity(10~(-5)-10~(-1)S m~(-1) ) has a monotonic correspondence with the testing temperatures(25-1000 °C). The numerical relationship is fitted by exponential functions, and its conducting mechanism could be interpreted by the band tail hopping(BTH) model. This work could provide alternative solutions for the fabrication of PDCs and potentials for sensing applications.
Surface passivation by multifunctional carbon dots toward highly efficient and stable inverted perovskite solar cells

Interfacial imperfections between the perovskite layer and the electron transport layer (ETL) in perovskite solar cells (PSCs) can lead to performance loss and negatively influence long-term operational stability. Here, we introduce an interface engineering method to modify the interface between perovskite and ETL by using multifunctional carbon dots (CDs). C = O in the CDs can chelate with the uncoordinated Pb~(2+) in the perovskite material, inhibit interfacial recombination, and enhance the performance and stability of device. In addition, -OH in CDs forms hydrogen bonds with I~- and organic cation in perovskite, inhibiting light-induced I_2 release and organic cation volatilization, causing irreversible degradation of perovskite films, thereby enhancing the long-term operational stability of PSCs. Consequently, we achieve the champion inverted device with an efficiency of 24.02%. The CDs-treated PSCs exhibit high operational stability, and the maximum power point tracking only attenuates by 12.5% after 1000 h. Interfacial modification engineering supported by multifunctional quantum dots can accelerate the road to stable PSCs.
Auxiliary guidance manufacture and revealing potential mechanism of perovskite solar cell using machine learning

To promote the development of global carbon neutrality, perovskite solar cells (PSCs) have become a research hotspot in related fields. How to obtain PSCs with expected performance and explore the potential factors affecting device performance are the research priorities in related fields. Although some classical computational methods can facilitate material development, they typically require complex mathematical approximations and manual feature screening processes, which have certain subjectivity and one-sidedness, limiting the performance of the model. In order to alleviate the above challenges, this paper proposes a machine learning (ML) model based on neural networks. The model can assist both PSCs design and analysis of their potential mechanism, demonstrating enhanced and comprehensive auxiliary capabilities. To make the model have higher feasibility and fit the real experimental process more closely, this paper collects the corresponding real experimental data from numerous research papers to develop the model. Compared with other classical ML methods, the proposed model achieved better overall performance. Regarding analysis of underlying mechanism, the relevant laws explored by the model are consistent with the actual experiment results of existing articles. The model exhibits great potential to discover complex laws that are difficult for humans to discover directly. In addition, we also fabricated PSCs to verify the guidance ability of the model in this paper for real experiments. Eventually, the model achieved acceptable results. This work provides new insights into integrating ML methods and PSC design techniques, as well as bridging photovoltaic power generation technology and other fields.
Plasma preparation of highly reactive Ag-Cu NPs anchored in N-PC as catalysts for Aluminum-air battery

Efficient, stable and economical catalysts play a crucial role in enhancing the kinetics of slow oxygen reduction reactions (ORR) in Aluminum-air batteries. Among the potential next-generation candidates, Ag catalysts are promising due to their high activity and low cost, but weaker oxygen adsorption has hindered industrialization. To address this bottleneck, Ag-alloying has emerged as a principal strategy. In this work, we successfully prepared Ag-Cu nanoparticles (NPs) with a rich eutectic phase and uniform dispersion structure using plasma evaporation. The increased solid solution of Ag and Cu led to changes in the electronic structure, resulting in an upward shift of the d-band center, which significantly improved oxygen adsorption. The combination of Ag and Cu in the NPs synergistically enhanced the adsorption of Ag and the desorption of Cu. Density functional theory (DFT) calculations revealed that Ag-Cu25 NPs exhibited the smallest limiting reaction barrier, leading to increased ORR activity. To further optimize the catalyst's performance, we utilized N-doped porous nanocarbon (N-PC) with high electrical conductivity and abundant mesoporous channels as the support for the Ag-Cu NPs. The N-PC support provided optimal mass transfer carriers for the highly active Ag-Cu25 NPs. As a result, the Ag-Cu25/NPC catalyst displayed excellent ORR activity in alkaline media, with a half-wave potential (E_(1/2)) of 0.82 V. Furthermore, the Al-air battery incorporating the Ag-Cu25/NPC catalyst exhibited outstanding electrochemical performance. It demonstrated high open-circuit voltages of 1.89 V and remarkable power densities of 193 mW cm~(-2). The battery also sustained a high current output and maintained a stable high voltage for 120 hours under mechanical charging, showcasing its significant potential for practical applications.
Stability analysis of tunnel under coal seam goaf:Numerical and physical modeling

The goaf formed by coal seam mining would dramatically reduce the strength and stiffness of the ground in and around the goaf,which is not conducive to tunnel excavation near the mined-out area.By establishing the Finite differential method and Discrete element method coupling numerical analysis method and conducting similar model test,the influence of dip angle,thickness and distance of coal seam goaf on the stability of unsupported tunnel excavation is studied.The results show that when the tunnel under the goaf is excavated,the circumferential stress increment increases first and then decreases along the radial direction of the tunnel,the radial stress increment gradually decreases to zero along the radial direction of the tunnel,the displacement is approximately distributed in a trough shape,and the maximum displacement is at the top of the tunnel.The area of the stress loosening zone (SLZ) is negatively correlated with the dip angle and the distance of the goaf,and positively correlated with the thickness.The SLZ near the goaf is larger,and the peak value of the asymmetry is about 1.35.When the thickness of the mined-out area is 1.8-2.1 m,the SLZ and displacement around the tunnel increase sharply and then become stable.When the dip angle of the mined-out area is greater than 30° or the distance exceeds 1.3 times tunnel diameter (D),the asymmetry converges.The research results of this paper are of great importance to the design and construction of tunnel support and the formulation of excavation schemes.
An enzyme-responsive and transformable PD-L1 blocking peptide-photosensitizer conjugate enables efficient photothermal immunotherapy for breast cancer

Mild photothermal therapy combined with immune checkpoint blockade has received increasing attention for the treatment of advanced or metastatic cancers due to its good therapeutic efficacy. However, it remains a challenge to facilely integrate the two therapies and make it potential for clinical translation. This work designed a peptide-photosensitizer conjugate (PPC), which consisted of a PD-L1 antagonist peptide (CVRARTR), an MMP-2 specific cleavable sequence, a self-assembling motif, and the photosensitizer Purpurin 18. The single-component PPC can self-assemble into nanospheres which is suitable for intravenous injection. The PPC nanosphere is cleaved by MMP-2 when it accumulates in tumor sites, thereby initiating the cancer-specific release of the antagonist peptide. Simultaneously, the nanospheres gradually transform into co-assembled nanofibers, which promotes the retention of the remaining parts within the tumor. In vivo studies demonstrated that PPC nanospheres under laser irradiation promote the infiltration of cytotoxic T lymphocytes and maturation of DCs, which sensitize 4T1 tumor cells to immune checkpoint blockade therapy. Therefore, PPC nanospheres inhibit tumor growth efficiently both in situ and distally and blocked the formation of lung metastases. The present study provides a simple and efficient integrated strategy for breast cancer photoimmunotherapy.
Conductive fibers for biomedical applications

Bioelectricity has been stated as a key factor in regulating cell activity and tissue function in electroactive tissues. Thus, various biomedical electronic constructs have been developed to interfere with cell behaviors to promote tissue regeneration, or to interface with cells or tissue/organ surfaces to acquire physiological status via electrical signals. Benefiting from the outstanding advantages of flexibility, structural diversity, customizable mechanical properties, and tunable distribution of conductive components, conductive fibers are able to avoid the damageinducing mechanical mismatch between the construct and the biological environment, in return to ensure stable functioning of such constructs during physiological deformation. Herein, this review starts by presenting current fabrication technologies of conductive fibers including wet spinning, microfluidic spinning, electrospinning and 3D printing as well as surface modification on fibers and fiber assemblies. To provide an update on the biomedical applications of conductive fibers and fiber assemblies, we further elaborate conductive fibrous constructs utilized in tissue engineering and regeneration, implantable healthcare bioelectronics, and wearable healthcare bioelectronics. To conclude, current challenges and future perspectives of biomedical electronic constructs built by conductive fibers are discussed.
Breakthrough of extracellular vesicles in pathogenesis, diagnosis and treatment of osteoarthritis

Osteoarthritis (OA) is a highly prevalent whole-joint disease that causes disability and pain and affects a patient’s quality of life. However, currently, there is a lack of effective early diagnosis and treatment. Although stem cells can promote cartilage repair and treat OA, problems such as immune rejection and tumorigenicity persist. Extracellular vesicles (EVs) can transmit genetic information from donor cells and mediate intercellular communication, which is considered a functional paracrine factor of stem cells. Increasing evidences suggest that EVs may play an essential and complex role in the pathogenesis, diagnosis, and treatment of OA. Here, we introduced the role of EVs in OA progression by influencing inflammation, metabolism, and aging. Next, we discussed EVs from the blood, synovial fluid, and joint-related cells for diagnosis. Moreover, we outlined the potential of modified and unmodified EVs and their combination with biomaterials for OA therapy. Finally, we discuss the deficiencies and put forward the prospects and challenges related to the application of EVs in the field of OA.
From liver fibrosis to hepatocarcinogenesis: Role of excessive liver H_2O_2 and targeting nanotherapeutics

Liver fibrosis and hepatocellular carcinoma(HCC) have been worldwide threats nowadays. Liver fibrosis is reversible in early stages but will develop precancerosis of HCC in cirrhotic stage. In pathological liver, excessive H_2O_2 is generated and accumulated, which impacts the functionality of hepatocytes, Kupffer cells(KCs) and hepatic stellate cells(HSCs), leading to genesis of fibrosis and HCC. H_2O_2 accumulation is associated with overproduction of superoxide anion(O_2~(·-) ) and abolished antioxidant enzyme systems. Plenty of therapeutics focused on H_2O_2 have shown satisfactory effects against liver fibrosis or HCC in different ways. This review summarized the reasons of liver H_2O_2 accumulation, and the role of H_2O_2 in genesis of liver fibrosis and HCC. Additionally, nanotherapeutics targeting H_2O_2 were summarized for further consideration of antifibrotic or antitumor therapy.
Ionizable polymeric nanocarriers for the codelivery of bi-adjuvant and neoantigens in combination tumor immunotherapy

Ionizable lipid nanocarriers have made historical contribution to COVID-19 mRNA vaccines. Here, we report ionizable polymeric nanoparticles that co-deliver bi-adjuvant and neoantigen peptides for cancer immunotherapy in combination with immune checkpoint blockade(ICB). Current cancer ICB benefits only a small subset of patients, largely due to a lack of pre-existing target cells and checkpoint targets for ICB, tumor antigenic heterogeneity, and tumor immunosuppression. Therapeutic vaccines hold the potential to enhance ICB therapeutic efficacy by expanding antitumor cell repertoires, upregulating immune checkpoint levels and hence sensitizing ICB, and reducing tumor immunosuppression. Chemically defined peptide vaccines are attractive, but their current therapeutic efficacy has been limited due to 1)poor vaccine delivery to immunomodulatory lymph nodes(LNs)and antigen(Ag)-presenting cells(APCs), 2)poor immunostimulant adjuvant efficacy with restricted target cell subsets in humans, 3)limited adjuvant/Ag codelivery to enhance Ag immunogenicity, and 4)limited ability to overcome tumor antigenic heterogeneity. Here, we developed nanovaccines(NVs)using pH-responsive polymeric micellular nanoparticles(NPs)for the codelivery of bi-adjuvant [Toll-like receptor(TLR)7/8 agonist R848 and TLR9 agonist CpG] and peptide neoantigens(neoAgs)to draining LNs for efficient Ag presentation in a broad range of APC subsets. These NVs potentiated the immunogenicity of peptide Ags and elicits robust antitumor T cell responses with memory, and remodeled the tumor immune milium with reduced tumor immunosuppression. As a result, NVs significantly enhanced ICB therapeutic efficacy for murine colorectal tumors and orthotopic glioblastoma multiforme(GBM). These results suggest marked potential of bi-adjuvant/neoAgcodelivering NVs for combination cancer immunotherapy.
Replication of natural surface topographies to generate advanced cell culture substrates

Surface topographies of cell culture substrates can be used to generate in vitro cell culture environments similar to the in vivo cell niches. In vivo, the physical properties of the extracellular matrix(ECM), such as its topography, provide physical cues that play an important role in modulating cell function. Mimicking these properties remains a challenge to provide in vitro realistic environments for cells. Artificially generated substrates' topographies were used extensively to explore this important surface cue. More recently, the replication of natural surface topographies has been enabling to exploration of characteristics such as hierarchy and size scales relevant for cells as advanced biomimetic substrates. These substrates offer more realistic and mimetic environments regarding the topographies found in vivo. This review will highlight the use of natural surface topographies as a template to generate substrates for in-vitro cell culture. This review starts with an analysis of the main cell functions that can be regulated by the substrate's surface topography through cell-substrate interactions. Then, we will discuss research works wherein substrates for cell biology decorated with natural surface topographies were used and investigated regarding their influence on cellular performance. At the end of this review, we will highlight the advantages and challenges of the use of natural surface topographies as a template for the generation of advanced substrates for cell culture.