mlsa-iai-msu-lab/ru_sci_bench_zho_cite_reranking huggingface dataset:
Output Prediction of Helical Microfiber Temperature Sensors in Cycling Measurement by Deep Learning

The inconsistent response curve of delicate micro/nanofiber (MNF) sensors during cycling measurement is one of the main factors which greatly limit their practical application.In this paper,we proposed a temperature sensor based on the copper rod-supported helical microfiber (HMF).The HMF sensors exhibited different light intensity-temperature response relationships in single-cycle measurements.Two neural networks,the deep belief network (DBN) and the backpropagation neural network (BPNN),were employed respectively to predict the temperature of the HMF sensor in different sensing processes.The input variables of the network were the sensor geometric parameters (the microfiber diameter,wrapped length,coiled turns,and helical angle) and the output optical intensity under different working processes.The root mean square error (RMSE) and Pearson correlation coefficient (R) were used to evaluate the predictive ability of the networks.The DBN with two restricted Boltzmann machines (RBMs) provided the best temperature prediction results (RMSE and R of the heating process are 0.970 5 ℃ and 0.996 9,while the values of RMSE and R of the cooling process are 0.786 6 ℃ and 0.997 7,respectively).The prediction results obtained by the optimal BPNN (five hidden layers,10 neurons in each layer,RMSE=1.126 6 ℃,R=0.995 7) were slightly inferior to those obtained by the DBN.The neural network could accurately and reliably predict the response of the HMF sensor in cycling operation,which provided the possibility for the flexible application of the complex MNF sensor in a wide sensing range.
Factors determining the occupancy of nest-boxes by Great Tits(Parus major)in eucalypt plantations

Providing nest-boxes as surrogate tree cavities can be of great importance to increase the breeding populations of cavity-nesting birds in managed forests. However, the exact placement of nest-boxes should be taken into consideration to enhance their occupancy according to species-speciffc preferences. In this study, we investigated which factors can better predict nest-box occupancy by the Great Tit(Parus major)in eucalypt plantations. We used generalised linear mixed-effects models to analyse the influence of topography, nest-box positioning, vegetation cover and landscape variables on three-year occupancy records from 80 newly provided nest-boxes. Non-random patterns of nest-box occupancy were found with respect to all categories except topography. Results suggest that Great Tits prefer to occupy high-placed nest-boxes, close to areas that can provide them with supplementary resources either within or in the vicinity of the stand(i.e., trees other than eucalypts, riparian vegetation, and large patches of adjacent habitats). Overall, this study provides important recommendations for nest-box placement and spatial distribution in managed forests and enhances the potential of nest-box interventions as a biodiversity offset and management tool.
Junctional adhesion molecule-like protein as a novel target for kaempferol to ameliorate lung adenocarcinoma

Objective:Although there have been improvements in targeted therapy and immunotherapy,the majority of lung adenocarcinoma (LUAD) patients still lack effective therapies.Consequently,it is urgent to screen for new diagnosis biomarkers and pharmacological targets.Junctional adhesion molecule-like protein (JAML) was considered to be an oncogenic protein and may be a novel therapeutic target in LUAD.Kaempferol is a natural flavonoid that exhibits antitumor activities in LUAD.However,the effect of kaempferol on JAML is still unknown.Methods:Small interfering RNA was used to knockdown JAML expression.The cell viability was determined using the cell counting kit-8 assay.The proliferation of LUAD cells was evaluated using the 5-ethynyl-20-deoxyuridine incorporation assay.The migration and invasion of LUAD cells were evaluated by transwell assays.Molecular mechanisms were explored by Western blotting.Results:JAML knockdown suppressed proliferation,migration and invasion of LUAD cells,and JAML deficiency restrained epithelial-mesenchymal transition (EMT) via inactivating the phosphoinositide 3-kinase/protein kinase B/mammalian target of rapamycin (PI3K/AKT/mTOR) pathway.Using a PI3K activator (740Y-P),rescue experiments showed that phenotypes to JAML knockdown in LUAD cells were dependent on the PI3K/AKT/mTOR pathway.Kaempferol also inhibited proliferation,migration and invasion of A549 and H1299 cells and partially suppressed EMT through the PI3K/AKT/mTOR pathway.Knockdown of JAML ameliorated the inhibitory effect of kaempferol on LUAD cells.Kaempferol exerted anticancer effects by targeting JAML.Conclusion:JAML is a novel target for kaempferol against LUAD cells.
Magnetic Actuation Systems and Magnetic Robots for Gastrointestinal Examination and Treatment

Magnetic actuation technology (MAT) provides novel diagnostic tools for the early screening and treatment of digestive cancers, which have high morbidity and mortality rates worldwide. The application of magnetic actuation systems and magnetic robots in gastrointestinal (GI) diagnosis and treatment to provide a comprehensive reference manual for scholars in the field of MAT research are reviewed. It describes the basic principles of magnetic actuation and magnetic field safety, introduces the design, manufacturing, control, and performance parameters of magnetic actuation systems, as well as the applicability and limitations of each system for different parts of the GI tract. It analyzes the characteristics and advantages of different types and functions of magnetic robots, summarizes the challenges faced by MAT in clinical applications, and provides an outlook on the future prospects of the field.
Highly efficient vectorial field manipulation using a transmitted tri-layer metasurface in the terahertz band

Polarization is a basic characteristic of electromagnetic waves that conveys much optical information owing to its many states. The polarization state is manipulated and controlled for optical information security, optical encryption, and optical communication. Metasurface devices provide a new way to manipulate wave-fronts of light. A single ultrathin metasurface device can generate and modulate several differently polarized light fields, and thus carries optical information in several different channels. Terahertz (THz) waves have become widely used as carrier waves for wireless communication. Compact and functional metasurface devices are in high demand for THz elements and systems. This paper proposes a tri-layer metallic THz metasurface for multi-channel polarization generation and phase modulation with a high efficiency of approximately 80%. An azimuthally polarized THz vectorial beam generator is realized and characterized for use as a THz polarization analyzer. The incident polarization angle can be observed graphically with high accuracy. Moreover, a vectorial hologram with eight channels for different linear polarization states is demonstrated experimentally. The information in different holograms can be hidden by choosing the polarization channel for detection. This work contributes to achieving multi-functional metasurface in the THz band and can benefit THz communication and optical information security.
Application of an atmospheric pressure plasma jet in a rat model of ischaemic stroke: Design, optimisation, and characteristics

Recent studies have shown the in vitro neuro-protective functions of atmospheric pressure plasma (APP) against multiple pathological injuries during ischaemic stroke (IS). However, whether APP treatment exerts a therapeutic effect on a rat IS model remains unclear. Here, on the basis of needle-to-ring dielectric barrier discharge, an atmospheric pressure plasma jet (APPJ) was designed, with the Helium as the working gas which was driven by a sinusoidal voltage. Then, the treatment conditions were optimised for IS rat model treatment and the characteristics of this APPJ were further diagnosed. Subsequently, the rat IS model was established through 90 min middle cerebral artery occlusion (MCAO), and plasma was intermittently inhaled by rats via the nasal cavity for a 2 min period at 60 min of MCAO process. The therapeutic effects of this plasma jet device were then evaluated using biomedical analyses. According to our results, intermittent APP inhalation in the MCAO rats increased the serum NO content, improved the neurological function, enhanced regional cerebral blood flow, lowered brain infarction, and reduced the cell apoptosis in brain tissues of MCAO rats. Collectively, our data provides a novel potential strategy for IS treatment by using atmospheric-pressure plasma inhalation.
Global model of plasma-activated water over long time scale: Pulsed discharge and afterglow

Plasma-activated water (PAW) has been utilised in various application fields, and a deep understanding on the plasma chemistry is the foundation of application-orientated optimisation. In this paper, a global model is built to study the chemical properties of PAW produced by a dielectric barrier discharge that is powered by nanosecond voltage pulses. The applied voltage is firstly repeated with 10 kHz frequency for 100 s, and then shut down for 200 s afterglow, providing a long-term evolution regarding the production and consumption of some typical reactive oxygen/nitrogen species (RONS) in PAW. The calculated results agree principally with experimental measurements from literature. During the pulsed discharge, the water gradually acidises, and the long-lived species accumulate; while in the afterglow, most of the aqueous RONS decay rapidly, except for O_(3aq), NO_(3aq)~-, H_2O_(2aq) and N_2O_(aq), which might be the main sources to sustain long-term effects. Furthermore, the effects of applied voltage and gap distance on RONS are investigated. Correlation analyses from Pearson correlation coefficient indicate that gaseous RONS are more sensitive to the gap distance, while the aqueous ones are more sensitive to the voltage amplitude, suggesting the possibility to independently regulating the gaseous and aqueous chemistry.
Decay-like fracture diagnosis of composite insulator based on small sample virtual expansion and radar graph mapping

Due to the complexity of test procedures and the high cost of measurements, the mechanism of the decay-like fracture is unclear, which brings hard concepts and the small sample problem. Therefore, it is intractable to establish accurate data-driven models. To solve the above mentioned problems, this paper proposes a data-driven modeling method based on radar graph mapping models and virtual sample generation (Radar-VSG). The main idea of the proposed method is to construct and select the most appropriate input features by using radar graph mapping, and to generate virtual samples by using the local outlier factor based on the isometric feature mapping algorithm (Isomap-LOF). To verify the effectiveness of our approach, a set of 27 training samples and 127 testing samples from China Southern Power Grid was applied. Experimental results suggested the accuracy was up to 100% after adding more than 27 virtual samples, with a 4.75% improvement. And the model has the best generalisation ability for 270 virtual samples, with the root mean square error of 0.018. Compared with support vector machine and four advanced VSG methods, the proposed Radar-VSG can achieve better performance.
Space charge characteristics of silicone elastomer for device packaging under positive square wave voltage

With the rapid development of power electronic devices towards high voltage and power, the insulation challenges faced by devices have attracted widespread attention. Silicone elastomer is widely used in device packaging as one insulating material, and the study of its insulating properties is helpful to the reliable operation of devices. To this end we obtained the space charge characteristics of silicone elastomer under positive square wave voltage by using the pulse-electroacoustic (PEA) method. Firstly based on the existing research and IEC standards, the selection criteria of the resistance and capacitance parameters of a PEA system for space charge measurement under square wave voltage are given. Through this experimental system, the space charge distribution under the positive square wave voltage with different waveform parameters is obtained, and the influences of the waveform parameters on the space charge accumulation are analysed. The amounts of charges under the action of square wave voltage with different waveform parameters are calculated, and the influences of waveform parameters on the amounts of charges are analysed. In addition, the reasons for the difference in the accumulation of positive and negative charges are explained through Schottky injection model, the synthesis reaction and the infrared spectrum of the silicone elastomer.
基于DEM的黄土小流域侵蚀监测与输沙过程模拟研究

黄土高原是地表物质交换最频繁、形态变化最剧烈的区域之一。小流域既是天然的地理单元,又是流域管理的基本单元,更是水沙治理等工程措施的重点试验单元。前人在黄土小流域侵蚀产沙机制与建模方面开展了一系列研究,但是受研究数据和方法的限制,目前仍没有提出一套从小流域侵蚀监测到反演输沙过程的方法体系。论文通过无人机摄影测量技术监测了小流域的侵蚀变化,构建了在像元尺度模拟泥沙搬运路径和不同路径泥沙分配量的整套方法框架,探索了从地形变化结果反演地表过程的研究范式,取得了相应的研究成果,主要研究结论如下。
数字化技术在以咬合关系为导向牙列缺失种植修复中的应用

针对1名戴用活动义齿多年的颞下颌关节紊乱症的终末期牙列缺损患者,探讨以咬合关系为导向进行牙列缺失种植修复的数字化流程,修复效果良好。该文介绍数字化技术在以咬合关系为导向用于后牙大面积缺损粘接间接修复牙体预备的规范化操作过程。
Data-driven flatness intelligent representation method of cold rolled strip

A high-accuracy flatness prediction model is the basis for realizing flatness control. Real flatness is typically reflected as the strain distribution, which is a vector. However, it is difficult to obtain ideal results if the real flatness is directly used as the output value of the flatness intelligent prediction model. Thus, it is necessary to seek an abstract representation method of real flatness. For this reason, two new intelligent flatness representation models were proposed based on the autoencoder of unsupervised learning theory: the flatness autoencoder representation (FAR) model and the flatness stacked sparse autoencoder representation (FSSAR) model. Compared with the traditional Legendre fourth-order polynomial representation model, the representation accuracies of the FAR and FSSAR models are significantly improved, better representing the flatness defects, like the double tight edge. The optimal number of bottleneck layer neurons in the FAR and FSSAR models is 5, which means that five basic patterns can accurately represent real flatness. Compared with the FAR model, the FSSAR model has higher representation accuracy, although the flatness basic pattern is more abstract, and the physical meaning is not clear enough. Furthermore, the accuracy of the FAR model is slightly lower than that of the FSSAR model. However, it can automatically learn the flatness basic pattern with a very clear physical meaning for both the theoretical and real flatness, which is an optimal intelligent representation method for flatness.
Urban vitality assessment at the neighborhood scale with geo-data: A review toward implementation

The number of urban vitality assessment studies is rising continuously, owing to the emergence of geographic data. The current literature focuses primarily on evaluation, rather than implementation, of urban vitality. Hence, a scoping review and research agenda are needed for urban vitality research to be more practical. This study aims to fill the research gap by exploring the content and methods of vitality assessment that can make urban vitality research more compatible with policy, planning, and design practice. We chose the neighborhood scale, which is the most practical initiative unit for vitality enhancement. We discovered that the gaps between the current research and practice primarily lie in the diversity of research subjects, the authenticity and comprehensiveness of vitality measurement, and the multi-domain of impact factor analysis. On this basis, we classified the following expandable aspects: (1) multi-type, multi-dimensional, multi-temporal, and implementation-adaptive vitality evaluation; (2) methods reflecting high-quality social interactions and the perceptions of vulnerable groups; (3) how design and urban management impacts vitality; and (4) the synergistic effects of multiple indicators on vitality. Overall, the research content and methodology presented in this paper can help neighborhood-scale vitality assessment to provide more meaningful insights for policy makers and practitioners.
Rating-protocol optimization for blockchain-enabled hybrid energy trading in smart grids

Smart grids,with renewable energy technologies,provide an innovative approach for mitigating the energy crisis caused by the shortage of fossil fuel resources.However,the existing smart grids are confronted with several challenges.Specially,the decentralization of resources and the inflexible trading patterns call for a secure infrastructure and an efficient energy management mechanism,respectively.Recently,blockchain (BC) is emerging as a new computing paradigm to provide decentralized and security-guaranteed network services,which has great potential to serve smart grids.The blockchain-enabled smart grids have been investigated in many fields.For example,authors in proposed a secure and efficient vehicle-to-grid (V2G) energy trading framework by exploring blockchain,contract theory,and edge computing.However,the solution to the energy hybrid trading scenario is rare,where the system can perform both prosumer-to-prosumer (P2P) and prosumerto-grid (P2G) energy trading simultaneously.Compared with the existing studies,the main contributions of this study are as follows:(1) A novel hybrid energy trading model is proposed,in which the consortium BC ensures secure and efective energy trading of P2P and P2G simultaneously.(2) A novel rating protocol is designed to incentivize renewable energy generation,which can optimize the producers' utility and social welfare with high timeliness from both the satisfaction of users and the market.
Revealing the potential of apparent critical current density of Li/garnet interface with capacity perturbation strategy

Apparent critical current density (j_(Ac)~a) of garnet all-solid-state lithium metal symmetric cells (ASSLSCs) is a fundamental parameter for designing all-solid-state lithium metal batteries.Nevertheless,how much the possible maximum apparent current density that a given ASSLSC system can endure and how to reveal this potential still require study.Herein,a capacity perturbation strategy aiming to better measure the possible maximum j_(Ac)~a is proposed for the first time.With garnet-based plane-surface structure ASSLSCs as an exemplification,the j_(Ac)~a is quite small when the capacity is dramatically large.Under a perturbed capacity of 0.001 mA h cm~(-2),the j_(Ac)~a is determined to be as high as 2.35 mA cm~(-2) at room temperature.This investigation demonstrates that the capacity perturbation strategy is a feasible strategy for measuring the possible maximum j_(Ac)~a of Li/solid electrolyte interface,and hopefully provides good references to explore the critical current density of other types of electrochemical systems.
Photoinduced Cu~+/Cu~(2+) interconversion for enhancing energy conversion and storage performances of CuO based Li-ion battery

Pursuing appropriate photo-active Li-ion storage materials and understanding their basic energy storage/conversion principle are pretty crucial for the rapidly developing photoassisted Li-ion batteries (PA-LIBs).Copper oxide (CuO) is one of the most popular candidates in both LIBs and photocatalysis.While CuO based PA-LIBs have never been reported yet.Herein,one-dimensional (1D) CuO nanowire arrays in situ grown on a three-dimensional (3D) copper foam support were employed as dualfunctional photoanode for both ‘solar-to-electricity' and ‘electricity-to-chemical' energy conversion in the PA-LIBs.It is found that light energy can be indeed stored and converted into electrical energy through the assembled CuO based PA-LIBs.Without external power source,the photo conversion efficiency of CuO based photocell reaches about 0.34%.Impressively,at a high current density of 4000 mA g~(-1),photoassisted discharge and charge specific capacity of CuO based PA-LIBs respectively receive 64.01% and 60.35% enhancement compared with the net electric charging and discharging process.Mechanism investigation reveals that photogenerated charges from CuO promote the interconversion between Cu~(2+) and Cu~+ during the discharging/charging process,thus forcing the lithium storage reaction more completely and increasing the specific capacity of the PA-LIBs.This work can provide a general principle for the development of other high-efficient semiconductor-based PA-LIBs.
Durable semi-crystalline interphase engineering to stabilize high voltage Ni-rich cathode in dilute ether electrolyte

Ethers are promising electrolyte solvents for secondary Li metal batteries because of their excellent reduction stability.However,their oxidation stability has been mostly relying on the high concentration approach,and limited progress has been made on building effective interphase to protect the cathode from the corrosion of the electrolyte.In this work,we construct a semi-crystalline interfacial layer on the surface of Li(Ni_(0.8)Co_(0.1)Mn_(0.1))O_2 cathode that can achieve improved electrochemical stability in the highly corrosive chemical environment formed by the decomposition of ether molecules.Different from traditional brittle crystalline interphases,the optimized semi-crystalline layer with low modulus and high ionic conductivity can effectively relieve electrode strain and maintain the integrity of the interface layer.Due to this design,the continuous oxidation decomposition of ether-based electrolytes could be significantly suppressed and the battery shows outstanding cycling stability (84% capacity retention after 300 cycles).This article provides a solution to address the oxidation instability issue of ether-based electrolytes.
Heterogeneous isomorphism hollow SiGe nanospheres with porous carbon reinforcing for superior electrochemical lithium storage

Silicon is emerging as a promising next-generation lithium-ion battery anode because of its high theoretical capacity and low cost.However,the poor cyclability and inferior rate performance hinder its largescale applications.Here,hollow silicon/germanium (H-SiGe) nanospheres with a binary-active component and heterogeneous structure combined with porous carbon (pC) reinforcing are synthesized as lithium-ion battery anodes.Experimental studies demonstrate that the H-SiGe/pC anodes possess tiny volume expansion,high ion/electron conductivity,and stable electrode interface.Theoretical calculations confirm that through the replacement of Si using Ge with rational component control,the diffusion energy barrier of lithium will be reduced and lithium storage ability can be improved because of the slight charge polarization.Benefiting from these unique merits,the H-SiGe/pC anodes display a high initial specific capacity of 2922.2 mA h g~(-1) at 0.1 A g~(-1),superior rate capability (59.4% capacity retention from 0.5 to 8 A g~(-1)),and excellent cycling stability (81% retention after 700 cycles at 5 A g~(-1) at 1.0-1.2 mg cm~(-2)).An outstanding stability is preserved even at a high loading of 3.2 mg cm~(-2) with an improved reversible capacity of 429.1 mA h g~(-1) after 500 cycles at 4 A g~(-1).Furthermore,the full-cell with the prelithiated H-SiGe/pC anode and LiFePO_4 cathode exhibits an impressive capacity performance.