mlsa-iai-msu-lab/ru_sci_bench_zho_cite_reranking huggingface dataset:
Neutron: an attention-based neural decompiler

Decompilation aims to analyze and transform low-level program language (PL) codes such as binary code or assembly code to obtain an equivalent high-level PL Decompilation plays a vital role in the cyberspace security fields such as software vulnerability discovery and analysis, malicious code detection and analysis, and software engineering fields such as source code analysis, optimization, and cross-language cross-operating system migration. Unfortunately, the existing decompilers mainly rely on experts to write rules, which leads to bottlenecks such as low scalability, development difficulties, and long cycles. The generated high-level PL codes often violate the code writing specifications. Further, their readability is still relatively low. The problems mentioned above hinder the efficiency of advanced applications (e.g., vulnerability discovery) based on decompiled high-level PL codes. In this paper, we propose a decompilation approach based on the attention-based neural machine translation (NMT) mechanism, which converts low-level PL into high-level PL while acquiring legibility and keeping functionally similar. To compensate for the information asymmetry between the low-level and high-level PL, a translation method based on basic operations of low-level PL is designed. This method improves the generalization of the NMT model and captures the translation rules between PLs more accurately and efficiently. Besides, we implement a neural decompilation framework called Neutron. The evaluation of two practical applications shows that Neutron's average program accuracy is 96.96%, which is better than the traditional NMT model.
Aspirin Enhances the Protective Effect of Progesterone on Trophoblast Cell from Oxidative Stress and Apoptosis

Objective:Clinically,low-dose aspirin and progesterone are frequently used to prevent pregnancy loss.We investigated the effect of these drugs on the biological behavior of human extravillous trophoblasts in vitro.Methods:HTR-8/SVneo cells were cultured in vitro and treated with different concentrations of aspirin and progesterone.The proliferation,invasion,and apoptosis of HTR-8/SVneo cells were assessed using a cell counting Kit-8 assay,Matrigel Transwell assay,and Hoechst staining,respectively.Reverse transcriptase polymerase chain reaction was used to verify the expression of related genes.Reactive oxygen species (ROS) levels were detected using the 2,7-dichlorofluorescin diacetate assay.Results:Low-dose aspirin alone,progesterone alone,or aspirin plus progesterone upregulated the proliferation and invasion and decreased the apoptosis of HTR-8/SVneo cells.Moreover,the expression of marker of proliferation Ki-67 (MKI67),matrix metalloproteinases 2 (MMP2),and MMP9 was increased.In addition,low-dose aspirin plus progesterone exerted stronger anti-apoptosis effects than low-dose aspirin and progesterone alone.Interestingly,aspirin upregulated the expression of progesterone receptor (PGR).Treatment with hydrogen peroxide (H_2O_2) promoted ROS production in HTR-8/SVneo cells;however,low-dose aspirin plus progesterone significantly restricted H_2O_2-mediated ROS production and apoptosis in HTR-8/SVneo cells.Conclusions:These data suggest that low-dose aspirin and progesterone promote proliferation and invasion and cooperatively reduce oxidative stress and apoptosis in trophoblasts in vitro.These results may provide an experimental basis for the combined application of aspirin and progesterone to prevent unexplained recurrent spontaneous miscarriage,especially in patients with trophoblast dysfunction.
Using GEDI lidar data and airborne laser scanning to assess height growth dynamics in fast-growing species:a showcase in Spain

Background:The NASA's Global Ecosystem Dynamics Investigation (GEDI) satellite mission aims at scanning forest ecosystems on a multi-temporal short-rotation basis.The GEDI data can validate and update statistics from nationwide airborne laser scanning (ALS).We present a case in the Northwest of Spain using GEDI statistics and nationwide ALS surveys to estimate forest dynamics in three fast-growing forest ecosystems comprising 211,346 ha.The objectives were:i) to analyze the potential of GEDI to detect disturbances,ii) to investigate uncertainty source regarding non-positive height increments from the 2015-2017 ALS data to the 2019 GEDI laser shots and iii) to estimate height growth using polygons from the Forest Map of Spain (FMS).A set of 258 National Forest Inventory plots were used to validate the observed height dynamics.Results:The spatio-temporal assessment from ALS surveying to GEDI scanning allowed the large-scale detection of harvests.The mean annual height growths were 0.79 (SD = 0.63),0.60 (SD = 0.42) and 0.94 (SD = 0.75) m for Pinus pinaster,Pinus radiata and Eucalyptus spp.,respectively.The median annual values from the ALS-GEDI positive increments were close to NFI-based growth values computed for Pinus pinaster and Pinus radiata,respectively.The effect of edge border,spatial co-registration of GEDI shots and the influence of forest cover in the observed dynamics were important factors to considering when processing ALS data and GEDI shots.Discussion:The use of GEDI laser data provides valuable insights for forest industry operations especially when accounting for fast changes.However,errors derived from positioning,ground finder and canopy structure can introduce uncertainty to understand the detected growth patterns as documented in this study.The analysis of forest growth using ALS and GEDI would benefit from the generalization of common rules and data processing schemes as the GEDI mission is increasingly being utilized in the forest remote sensing community.
Spontaneously coherent orbital coupling of counterrotating exciton polaritons in annular perovskite microcavities

Exciton-polariton condensation is regarded as a spontaneous macroscopic quantum phenomenon with phase ordering and collective coherence. By engineering artificial annular potential landscapes in halide perovskite semiconductor microcavities, we experimentally and theoretically demonstrate the room-temperature spontaneous formation of a coherent superposition of exciton-polariton orbital states with symmetric petal-shaped patterns in real space, resulting from symmetry breaking due to the anisotropic effective potential of the birefringent perovskite crystals. The lobe numbers of such petal-shaped polariton condensates can be precisely controlled by tuning the annular potential geometry. These petal-shaped condensates form in multiple orbital states, carrying locked alternating π phase shifts and vortex-antivortex superposition cores, arising from the coupling of counterrotating exciton-polaritons in the confined circular waveguide. Our geometrically patterned microcavity exhibits promise for realizing room-temperature topological polaritonic devices and optical polaritonic switches based on periodic annular potentials.
Preface to the Special Issue on Semiconductor Optoelectronic Integrated Circuits

The past 20 years have witnessed the rapid growth of photonic integration circuits (PIC) technology, which has been warmly embraced by both academia and the industry. Powered by the advanced development in material growth, processing, and design capability, the PIC technology now covers multiple material platforms, including III–V (InP, GaAs), silicon, silica, lithium niobate on insulator (LNOI) polymer, etc. The integration level has evolved from a single functional device to thousands of components on-chip. The increase in the performance and the complexity of the PICs have become an energetic booster for communication and information technology.
The translabyrinthine approach in residency training. “Step by step” surgical anatomy from the dissection laboratory to the operative room

Surgical anatomy training in a dedicated research laboratory and attendance to focused “hands-on” dissection courses are of high educational importance in order to acquire and maintain surgical expertise in skull base surgery, both for young and more experienced surgeons. Nevertheless, transitioning surgical skills and anatomic knowledge from the laboratory to the operative room it is not free of challenges, especially during skull base approaches where the three-dimensional surgical orientation can be quite complex. We present a “step-by-step” and “side-by-side” surgical anatomy report on a translabyrinthine approach that was practiced in the laboratory then performed in the operative room by the surgical team, and we compare surgical anatomy exposures while discussing intraoperative techniques, nuances and challenges, both in the laboratory and the operative room.
Synthetic Lethal Interactions Prediction Based on Multiple Similarity Measures Fusion

The synthetic lethality (SL) relationship arises when a combination of deficiencies in two genes leads to cell death, whereas a deficiency in either one of the two genes does not. The survival of the mutant tumor cells depends on the SL partners of the mutant gene, thereby the cancer cells could be selectively killed by inhibiting the SL partners of the oncogenic genes but normal cells could not. Therefore, there is an urgent need to develop more efficient computational methods of SL pairs identification for cancer targeted therapy. In this paper, we propose a new approach based on similarity fusion to predict SL pairs. Multiple types of gene similarity measures are integrated and k-nearest neighbors algorithm (k-NN) is applied to achieve the similarity-based classification task between gene pairs. As a similarity-based method, our method demonstrated excellent performance in multiple experiments. Besides the effectiveness of our method, the ease of use and expansibility can also make our method more widely used in practice.
Static output feedback stabilization for second-order singular systems using model reduction methods

In this paper,the static output feedback stabilization for large-scale unstable second-order singular systems is investigated.First,the upper bound of all unstable eigenvalues of second-order singular systems is derived.Then,by using the argument principle,a computable stability criterion is proposed to check the stability of secondorder singular systems.Furthermore,by applying model reduction methods to original systems,a static output feedback design algorithm for stabilizing second-order singular systems is presented.A simulation example is provided to illustrate the effectiveness of the design algorithm.
Kinematic and mixing characteristics of vortex interaction induced by a vortex generator model:a numerical study

The underlying effect of vortex interaction characterized by the merging and non-merging on mixing enhancement is of fundamental significance to understand the flow dynamics of strut injectors in scramjets.Starting from a simplified configuration of a vortex generator,this study focuses on the influence of geometric parameters on vortex structures and fluid mixing through compressible Navier-Stokes(NS)simulations.By adjusting the induction of outer vortices,the inner co-rotating vortex pair exhibits two modes of interaction(merging/separation regime)reflected by closer/farther vortex centers.Defined by the zero variation rate of the inner vortex spacing,the critical state of equilibrium is determined.The critical condition is well predicted by a theoretical model based on the Biot-Savart law.Through the introduction of mixedness and mixing time,the intrinsic impact of interaction modes on fluid mixing is revealed.Compared with the vortex dynamics in the merging regime,the one in the separation regime is more effective for passive scalar mixing augmentation.With efficient material stretching characterized by the higher interface stretching factor and averaging finite-time Lyapunov exponent(FTLE),the mixing time is shortened by as much as 2.5 times in the separation regime.The implication of the present two interaction regimes in mixing enhancement physically reflected by the averaging FTLE has the potential to improve the combustion performance and shorten the combustor chamber.
Ultra-smooth CsPbI_2Br film via programmable crystallization process for high-efficiency inorganic perovskite solar cells

CsPbI_2Br is an ideal inorganic perovskite material with a reasonable bandgap for solar cell applications because of its advantage of superior thermal and phase stability.However,the performance of CsPbI_2Br based solar cells highly relied on the perovskite crystallization process along with the interfacial contact engineering process between CsPbI_2Br perovskite and charge-transporting layers.In this work,a programmable crystallization method is developed to obtain ultra-smooth CsPbI_2Br perovskite film with a well-engineered contact interface in perovskite solar cells.This method combines a pre-stand-by process with a programmable gradient thermal engineering process,which mediates the crystal growth dynamics process of CsPbI_2Br perovskite by controlling the release of dimethyl sulfoxide (DMSO) from its coordinates with the perovskite film,leading to high-quality CsPbI_2Br film with large-scale crystalline grains,reduced surface roughness,and low trap density.Fabricated perovskite devices based on CsPbI_2Br film obtained by this method deliver power conversion efficiency of 14.55 %;meanwhile,the encapsulated CsPbI_2Br perovskite device achieves a maximum efficiency of 15.07 %.This decent solar conversion efficiency demonstrates the effectiveness of the programmable crystallization method used in this work,which shows great potential as a universal approach in obtaining high-quality CsPbI_2Br perovskite films for fabricating high-efficiency inorganic perovskite solar cells.
Scalable fabrication and active site identification of MOF shell-derived nitrogen-doped carbon hollow frameworks for oxygen reduction

Nitrogen-doped carbon materials as promising oxygen reduction reaction (ORR) electrocatalysts attract great interest in fuel cells and metal-air batteries because of their relatively high activity,high surface area,high conductivity and low cost.To maximize their catalytic efficiency,rational design of efficient electrocatalysts with rich exposed active sites is highly desired.Besides,due to the complexity of nitrogen species,the identification of active nitrogen sites for ORR remains challenging.Herein,we develop a facile and scalable template method to construct high-concentration nitrogen-doped carbon hollow frameworks (NC),and reveal the effect of different nitrogen species on theirORRactivity on basis of experimental analysis and theoretical calculations.The formation mechanism is clearly revealed,including low-pressure vapor superassembly of thin zeolitic imidazolate framework (ZIF-8) shell on ZnO templates,in situ carbonization and template removal.The obtained NC-800 displays better ORR activity compared with other NC-700 and NC-900 samples.Our results indicate that the superior ORR activity of NC-800 is mainly attributed to its content balance of three nitrogen species.The graphitic N and pyrrolic N sites are responsible for lowering the working function,while the pyridinic N and pyrrolic N sites as possible active sites are beneficial for increasing the density of states.
支链氨基酸与妊娠期糖尿病关系及作用机制

妊娠期糖尿病是一种以糖代谢异常为特征的妊娠期并发症,患者的支链氨基酸相关代谢也常发现改变,表明支链氨基酸可能与妊娠期糖尿病的发生发展有关。本文就妊娠期糖尿病患者孕期及产后的血浆支链氨基酸水平和支链氨基酸可能参与的病理机制进行了综述。
Efficient Two-Dimensional Perovskite Solar Cells Realized by Incorporation of Ti_3C_2T_x MXene as Nano-Dopants

Two-dimensional (2D) perovskites solar cells (PSCs) have attracted considerable attention owing to their excellent stability against humidity; however, some imperfectness of 2D perovskites, such as poor crystallinity, disordered orientation, and inferior charge transport still limit the power conversion efficiency (PCE) of 2D PSCs. In this work, 2D Ti_3C_2T_x MXene nanosheets with high electrical conductivity and mobility were employed as a nanosized additive to prepare 2D Ruddlesden-Popper perovskite films. The PCE of solar cells was increased from 13.69 (without additive) to 15.71% after incorporating the Ti_3C_2T_x nanosheets with an optimized concentration. This improved performance is attributed to the enhanced crystallinity, orientation, and passivated trap states in the 3D phase that result in accelerated charge transfer process in vertical direction. More importantly, the unencapsulated cells exhibited excellent stability under ambient conditions with 55 ± 5% relative humidity.
Metallic Graphene Nanoribbons

Isolated graphene nanoribbons (GNRs) usually have energy gaps, which scale with their widths, owing to the lateral quantum confinement effect of GNRs. The absence of metallic GNRs limits their applications in device interconnects or being one-dimensional physics platform to research amazing properties based on metallicity. A recent study published in Science provided a novel method to produce metallic GNRs by inserting a symmetric superlattice into other semiconductive GNRs. This finding will broader the applications of GNRs both in nanoelectronics and fundamental science.
Efficient Catalytic Conversion of Polysulfides by Biomimetic Design of “Branch-Leaf” Electrode for High-Energy Sodium-Sulfur Batteries

Rechargeable room temperature sodium-sulfur (RT Na-S) batteries are seriously limited by low sulfur utilization and sluggish electrochemical reaction activity of polysulfide intermediates. Herein, a 3D “branch-leaf” biomimetic design proposed for high performance Na-S batteries, where the leaves constructed from Co nanoparticles on carbon nanofibers (CNF) are fully to expose the active sites of Co. The CNF network acts as conductive “branches” to ensure adequate electron and electrolyte supply for the Co leaves. As an effective electrocatalytic battery system, the 3D “branch-leaf” conductive network with abundant active sites and voids can effectively trap polysulfides and provide plentiful electron/ions pathways for electrochemical reaction. DFT calculation reveals that the Co nanoparticles can induce the formation of a unique Co-S-Na molecular layer on the Co surface, which can enable a fast reduction reaction of the polysulfides. Therefore, the prepared “branch-leaf” CNF-L@Co/S electrode exhibits a high initial specific capacity of 1201 mAh g~(-1) at 0.1 C and superior rate performance.
Defect and Doping Co-Engineered Non-Metal Nanocarbon ORR Electrocatalyst

Exploring low-cost and earth-abundant oxygen reduction reaction (ORR) electrocatalyst is essential for fuel cells and metal-air batteries. Among them, non-metal nanocarbon with multiple advantages of low cost, abundance, high conductivity, good durability, and competitive activity has attracted intense interest in recent years. The enhanced ORR activities of the nanocarbons are normally thought to originate from heteroatom (e.g., N, B, P, or S) doping or various induced defects. However, in practice, carbon-based materials usually contain both dopants and defects. In this regard, in terms of the co-engineering of heteroatom doping and defect inducing, we present an overview of recent advances in developing non-metal carbon-based electrocatalysts for the ORR. The characteristics, ORR performance, and the related mechanism of these functionalized nanocarbons by heteroatom doping, defect inducing, and in particular their synergistic promotion effect are emphatically analyzed and discussed. Finally, the current issues and perspectives in developing carbon-based electrocatalysts from both of heteroatom doping and defect engineering are proposed. This review will be beneficial for the rational design and manufacturing of highly efficient carbon-based materials for electrocatalysis.
Abrogation of USP7 is an alternative strategy to downregulate PD-L1 and sensitize gastric cancer cells to T cells killing

Targeting immune checkpoints such as programmed cell death protein 1 (PD-1) and programmed death ligand-1 (PD-L1) have been approved for treating melanoma, gastric cancer (GC) and bladder cancer with clinical benefit. Nevertheless, many patients failed to respond to anti-PD-1/PD-L1 treatment, so it is necessary to seek an alternative strategy for traditional PD-1/PD-L1 targeting immunotherapy. Here with the data from The Cancer Genome Atlas (TCGA) and our in-house tissue library, PD-L1 expression was found to be positively correlated with the expression of ubiquitin-specific processing protease 7 (USP7) in GC. Furthermore, USP7 directly interacted with PD-L1 in order to stabilize it, while abrogation of USP7 attenuated PD-L1/PD-1 interaction and sensitized cancer cells to T cell killing in vitro and in vivo. Besides, USP7 inhibitor suppressed GC cells proliferation by stabilizing P53 in vitro and in vivo. Collectively, our findings indicate that in addition to inhibiting cancer cells proliferation, USP7 inhibitor can also downregulate PD-L1 expression to enhance anti-tumor immune response simultaneously. Hence, these data posit USP7 inhibitor as an anti-proliferation agent as well as a novel therapeutic agent in PD-L1/PD-1 blockade strategy that can promote the immune response of the tumor.
An injectable micelle-hydrogel hybrid for localized and prolonged drug delivery in the management of renal fibrosis

Localized delivery, comparing to systemic drug administration, offers a unique alternative to enhance efficacy, lower dosage, and minimize systemic tissue toxicity by releasing therapeutics locally and specifically to the site of interests. Herein, a localized drug delivery platform (“plum–pudding” structure) with controlled release and long-acting features is developed through an injectable hydrogel (“pudding”) crosslinked via self-assembled triblock polymeric micelles (“plum”) to help reduce renal interstitial fibrosis. This strategy achieves controlled and prolonged release of model therapeutics in the kidney for up to three weeks in mice. Following a single injection, local treatments containing either anti-inflammatory small molecule celastrol or anti-TGFβ antibody effectively minimize inflammation while alleviating fibrosis via inhibiting NF-kB signaling pathway or neutralizing TGF-β1 locally. Importantly, the micelle-hydrogel hybrid based localized therapy shows enhanced efficacy without local or systemic toxicity, which may represent a clinically relevant delivery platform in the management of renal interstitial fibrosis.
Digital/Analog Simulation Platform for Distributed Power Flow Controller Based on ADPSS and dSPACE

Distributed power flow controller, which is among the most powerful distributed flexible transmission equipments, is still only in the stage of the oretical research and digital simulation. In order to promote the engineering demonstration of a distributed power flow controller, it is urgent to establish a digital/analog simulation platform that supports closed-loop real-time simulation of a distributed power flow controller. In this paper, the electromagnetic transient model of a distributed power flow controller is established on ADPSS (advanced digital power system simulator). The rapid control prototype realized by dSPACE is connected to ADPSS to form a digital/analog simulation platform for a distributed power flow controller. Through a voltage control and power flow control simulation of the test system with a distributed power flow controller, the correctness and effectiveness of the constructed simulation platform are verified, which provides a new way for the verification of the new theory of a distributed power flow controller.