mlsa-iai-msu-lab/ru_sci_bench_zho_cite_reranking huggingface dataset:
Adaptive neural network control of a 2-DOF helicopter system considering input constraints and global prescribed performance

In this study,an adaptive neural network (NN) control is proposed for nonlinear two-degree-offreedom (2-DOF) helicopter systems considering the input constraints and global prescribed performance.First,radial basis function NN (RBFNN) is employed to estimate the unknown dynamics of the helicopter system.Second,a smooth nonaffine function is exploited to approximate and address nonlinear constraint functions.Subsequently,a new prescribed function is proposed,and an original constrained error is transformed into an equivalent unconstrained error using the error transformation and barrier function transformation methods.The analysis of the established Lyapunov function proves that the controlled system is globally uniformly bounded.Finally,the simulation and experimental results on a constructed Quanser's test platform verify the rationality and feasibility of the proposed control.
STAT3-Dependent Effects of Polymeric Immunoglobulin Receptor in Regulating Interleukin-17 Signaling and Preventing Autoimmune Hepatitis

One-third of patients with autoimmune hepatitis (AIH) have cirrhosis at the time of diagnosis.The relevance of these variables,although unknown,is believed to be critical in AIH because of suspected interactions between the gut microbiome and genetic factors.Dysbiosis of the gut flora and elevated polymeric immunoglobulin receptor (pIgR) levels have been observed in both patients and mouse models.Moreover,there is a direct relationship between pIgR expression and transaminase levels in patients with AIH.In this study,we aimed to explore how pIgR influences the secretion of regenerating islet-derived 3 beta (Reg3b) and the flora composition in AIH using in vivo experiments involving patients with AIH and a concanavalin A-induced mouse model of AIH.Reg3b expression was reduced in pIgR gene (Pigr)-knockout mice compared to that in wild-type mice,leading to increased microbiota disruption.Conversely,exogenous pIgR supplementation increased Reg3b expression and maintained microbiota homeostasis.RNA sequencing revealed the participation of the interleukin (IL)-17 signaling pathway in the regulation of Reg3b through pIgR.Furthermore,the introduction of external pIgR could not restore the imbalance in gut microbiota in AIH,and the decrease in Reg3b expression was not apparent following the inhibition of signal transducer and activator of transcription 3 (STAT3).In this study,pIgR facilitated the upregulation of Reg3b via the STAT3 pathway,which plays a crucial role in preserving the balance of the intestinal microbiota in AIH.Through this research,we discovered new molecular targets that can be used for the diagnosis and treatment of AIH.
Advances in the Application of Molecular Diagnostic Techniques to Brucellosis

Brucellosis is a zoonotic infectious and allergic disease caused by Brucella bacteria. Brucellosis occurs worldwide and has had a huge economic impact on the livestock industry in many countries and regions. It has become a major public health problem. Brucella is an endoparasitic, non-motile Gram-negative bacterium capable of surviving within a diverse range of domestic animal hosts. To date, 12 Brucella species have been documented, encompassing B. melitensis, B. suis, B. abortus, B. ovis, B. canis, B. neotomae, B. ceti, B. pinnipedialis, B. microti, B. inopinata, B. vulpis and B. papionis. Those most frequently responsible for human infections are B. melitensis, B. abortus and B. suis. Brucella has the potential to cause varying degrees of harm to both humans and domestic animals. After being infected with Brucella, individuals may experience prolonged fever, joint pain and other symptoms, and severe cases may impar their ability to work. After being infected with Brucella, female animals may exhibit symptoms such as abortion, metritis and orchitis, and hind limb dyskinesia is also commonly observed.
When smoke meets gut:deciphering the interactions between tobacco smoking and gut microbiota in disease development

Tobacco smoking is a prevalent and detrimental habit practiced worldwide,increasing the risk of various diseases,including chronic obstructive pulmonary disease (COPD),cardiovascular disease,liver disease,and cancer.Although previous research has explored the detrimental health effects of tobacco smoking,recent studies suggest that gut microbiota dysbiosis may play a critical role in these outcomes.Numerous tobacco smoke components,such as nicotine,are found in the gastrointestinal tract and interact with gut microbiota,leading to lasting impacts on host health and diseases.This review delves into the ways tobacco smoking and its various constituents influence gut microbiota composition and functionality.We also summarize recent advancements in understanding how tobacco smokinginduced gut microbiota dysbiosis affects host health.Furthermore,this review introduces a novel perspective on how changes in gut microbiota following smoking cessation may contribute to withdrawal syndrome and the degree of health improvements in smokers.
Fossil organic carbon weathering: A nexus in global biogeochemical cycles

The participation of life processes represents a fundamental feature of geochemical cycles on the planet Earth. One of primary processes is that the carbon-based life utilizes photosynthesis to convert atmospheric CO_2 into organic carbon while producing O_2 (Derry, 2014). Fossil organic carbon (FOC), also known as petrogenic organic carbon or bedrockderived organic carbon, is a unique type of organic carbon that is accumulated and fossilized in the lithosphere over the geological history. FOC and carbonate rocks serve as the two primary carbon reservoirs on Earth that hold the CO_2 degassed from the solid Earth. Importantly, around 1.25×10~7 Mt C is stored as FOC in the lithosphere, amounts to ~20,000 times of the carbon stored in the modern atmosphere (Sundquist and Ackerman, 2014), and this large fossil carbon pool is actively participating in the contemporary biogeochemical cycles at the Earth's surface.
Remote sensing image encryption algorithm utilizing 2D Logistic memristive hyperchaotic map and SHA-512

The two-dimensional Logistic memristive hyperchaotic map (2D-LMHM) and the secure hash SHA-512 are the foundations of the unique remote sensing image encryption algorithm (RS-IEA) suggested in this research. The proposed map is formed from the improved Logistic map and the memristor, which has wide phase space and hyperchaotic range and is exceptionally excellent to be utilized in specific applications. The proposed image algorithm uses the permutation-assignment-diffusion structure. Permutation generates two position matrices in a progressive manner to achieve an efficient random exchange of pixel positions, assignment is carried through on the image pixels of the permutated image to entirely remove the original image information, strengthening the relationship between permutation and diffusion, and loop diffusion in two different directions can use subtle changes of pixels to affect the whole plane. The random key and plain-image SHA-512 hash values are used to produce an additional key, which is then utilized to figure out the permutation parameters and the initial value of a chaotic map. The experimental results with the average NPCR = 99.6094% (NPCR: number of pixels change rate), average UACI = 33.4638% (UACI: unified average changing intensity), 100% pass rate of the targets in the test set, the average correlation coefficient is 0.00075, and the local information entropy is 7.9025, which shows that the algorithm is able to defend against a variety of illegal attacks and provide more trustworthy protection than some of the existing state-of-the-art algorithms.
Exciting broadband thermochromic transmission property opposite to vanadium dioxide in the atmospheric window

The traditional telecommunications band performs poorly in harsh weather conditions due to atmospheric absorption. In recent years, researchers have begun to study optical communication through atmospheric windows, and optical switches are an essential component of optical communication. A broadband atmospheric window optical switch was proposed based on Vanadium dioxide and magnetic polaritons (MP). It is formed by the stacking of two metal-dielectric-metal structures. The simulation results show that the modulation depth can reach 98.38%, and the extinction ratio is 17.93 dB. By calculating the magnetic field, we confirmed that the reason for the "off" mode is the coupling between the different MP modes, while the "on" mode is the excitation of MP. The optical switch we proposed may be applied to radiation cooling and optical satellite communication.
Room-temperature phonon-coupled single-photon emission in hexagonal boron nitride

Photon-lattice (phonon) coupling is fundamental to light-matter interaction, particularly when it reaches the quantum limit of the phonon-coupled single-photon emission, which holds great potential for quantum manipulation and quantum information transduction. Here, we report single defect state-phonon coupling in hexagonal boron nitride (hBN) at room temperature. An ultrabroad spectrum of single-photon emissions can be achieved by selecting the excitation energies. Using photoluminescence excitation spectroscopy, we observe single-phonon-assisted resonance-enhanced single-photon emission, along with multiple phonon replicas that herald the creation of phonon Fock state. We also develop a transition model to gain insight into the physical process behind the single defect state-phonon coupling. Our work sets the stage for manipulating electron-phonon coupling state with single quantum-level precision at room temperature.
Detection of astrophysical gravitational wave sources by TianQin and LISA

TianQin and LISA are space-based laser interferometer gravitational wave (GW) detectors planned to be launched in the mid-2030s. Both detectors will detect low-frequency GWs around 10~(-2) Hz; however, TianQin is more sensitive to frequencies above this common sweet-spot while LISA is more sensitive to frequencies below 10~(-2) Hz. Therefore, TianQin and LISA will be able to detect the same sources but with different accuracy depending on the source and its parameters. We consider some of the most important astrophysical sources-massive black hole binaries, stellar-mass black hole binaries, double white dwarfs, extreme mass ratio inspirals, light and heavy intermediate mass ratio inspirals, as well as the stochastic gravitational background of astrophysical origin-that TianQin and LISA will be able to detect. For each of these sources, we analyze how far they can be detected (detection distance) and how well their parameters can be measured (detection accuracy) using a Fisher Matrix analysis. We compare the results obtained by the three detection scenarios (TianQin alone, LISA alone, and joint detection by LISA and TianQin) highlighting the gains from joint detection as well as the contribution of TianQin and LISA to a combined study of astrophysical sources. In particular, we consider the different orientations, lifetimes, and duty cycles of the two detectors to explore how they can give a more complete picture when working together.
A chaotic spiking backpropagation approach to brain learning

Spiking neural networks (SNNs) are known for their superior energy efficiency, achieved through spiking signal transmission that mirrors biological nervous systems, thus solving the unsustainable energy-consumption problem of current artificial neural networks and frameworks. However, effectively training SNNs poses a significant technical chal lenge. Whi le surrogate gradientbased methods provide a viable solution, the trained SNNs often get stuck in local minima due to their reliance on the inherent gradient dynamics.
Towards rational design in electrochemical denitrification by analyzing pH dependence

A small fraction of NO_x (< 1%) always exists in CO_2 feedstock (e.g. exhausted gas), which can significantly reduce the efficiency of CO_2 electroreduction by ~30%. Hence, electrochemical denitrification is the precondition of CO_2 electroreduction. The pH effect is a key factor, and can be used to tune the selectivity between N2 and N2 O production in electrochemical denitrification. However, there has been much controversy for many years about the origin of pH dependence in electrocatalysis. To this end, we present a new scheme to accurately model the pH dependence of the electrochemical mechanism. An extremely small pH variation from pH 12.7 to pH 14 can be accurately reproduced for N2 O production. More importantly, the obviously different pH dependence of N2 production, compared to N2 O, can be attributed to a cascade path. In other words, the N2 was produced from the secondary conversion of the as-produced N2 O molecule (the major product), instead of the original reactant NO. This is further supported by more than 35 experiments over varying catalysts (Fe, Ni, Pd, Cu, Co, Pt and Ag), partial pressures (20%, 50% and 100%) and potentials (from -0.2 to 0.2 V vs. reversible hydrogen electrode). All in all, the insights herein overturn long-lasting views in the field of NO electroreduction and suggest that rational design should steer away from catalyst engineering toward reactor optimization.
Building soft and conformal bioelectronic interfaces via a waterresponsive supercontractile polymer film

In the thriving era of the Internet of Things (IoT), there is an escalating inclination towards establishing comprehensive connectivity, not only for linking external entities but also for connecting human body to external environment. While the internet and portable electronics have largely achieved the former goal, the challenge of linking the human body and biological systems to the external environment persists. Fortunately, the advent of flexible and wearable electronics presents a viable solution towards accomplishing this ambiton. The incorporation of flexible sensors onto human body enables the capture of diverse body-related information, spanning biophysical, biochemical, and physiological signals. This integration serves to establish a direct connection between the human body and external world, enabling versatile applications such as health monitoring, disease diagnosis and therapy, and human-machine interactions.
Performance improvements in complementary metal oxide semiconductor devices and circuits based on fin field-effect transistors using 3-nm ferroelectric Hf_(0.5)Zr_(0.5)O_2

In this work, a conventional HfO_2 gate dielectric layer is replaced with a 3-nm ferroelectric (Fe) HZO layer in the gate stacks of advanced fin field-effect transistors (FinFETs). Fe-induced characteristics, e.g., negative drain induced barrier lowering (N-DIBL) and negative differential resistance (NDR), are clearly observed for both p- and n-type HZO-based FinFETs. These characteristics are attributed to the enhanced ferroelectricity of the 3-nm hafnium zirconium oxide (HZO) film, caused by Al doping from the TiAlC capping layer. This mechanism is verified for capacitors with structures similar to the FinFETs. Owing to the enhanced ferroelectricity and N-DIBL phenomenon, the drain current (IDS) of the HZO-FinFETs is greater than that of HfO_2-FinFETs and obtained at a lower operating voltage. Accordingly, circuits based on HZOFinFET achieve higher performance than those based on HfO_2-FinFET at a low voltage drain (VDD), which indicates the application feasibility of the HZO-FinFETs in the ultralow power integrated circuits.
Regional heterogeneity of acupoints stimulation in the modulation of autonomic nerve system

Acupoints on the different parts of the body surface vary in regulating the autonomic nervous system (ANS), exhibiting differences in the acupoint specificity in terms of the distributing directions of sympathetic and parasympathetic branches. The paper introduces the rules of acupoints on the corresponding body surfaces in modulating ANS based on their location at four limbs, abdomen, sacrum, head and face, suboccipital and lateral cervical region and auricle (concha). The fundamental rule of acupoint heterogeneity in ANS regulation is that: all acupoints can induce somatic-sympathetic reflex. The regional heterogeneity of acupoints in ANS is shown: by the fact that stimulation beyond a certain intensity can induce systemic autonomic effects. The acupoints on the abdomen act on the sympathetic nervous system, those at concha on the vagal system and those on the sacral region on the sacral parasymathetic system. The heterogeneity of acupoints in regulating ANS refers to co-effects of acupoints specific effect (within segments) and its systemic effect (whole body), which embodies the specificity of acupoints structure. The acupoints on the same body surface regions display the homogeneity of modulation. Mastering the heterogeneous characteristics of acupoints in modulating ANS is particularly conductive to constructing the theoretical basis of acupoints in clinical acupuncture treatment for systemic diseases.
Effect of Ca Micro-Alloying on the Microstructure and Anti-Corrosion Property of Mg0.5Zn0.2Ge Alloy

Magnesium and its alloys have attracting rising attention as one of biodegradable metallic materials. However, the rapid corrosion and severe localized corrosion still hinder their extensive applications in clinics. In this study, micro-alloying of Ca (≤ 0.1 wt%) into Mg0.5Zn0.2Ge alloy developed in our previous work was explored to further enhance the corrosion resistance and alleviate the localized corrosion of the alloy. The results reveal that the addition of Ca leads to the transformation of the cathodic Mg_2Ge phase in Mg0.5Zn0.2Ca alloy into anodic MgCaGe phase in Ca-containing alloys, thereby changing the galvanic couples in alloys during immersion. The preferential dissolution of MgCaGe phase promotes the participation of Ca and Ge into the formation of corrosion products, resulting in the enrichment of Ca and Ge in the outmost of corrosion product layer, which stabilizes and passivates the corrosion product layer on Mg alloy surface. Additionally, the enrichment of Zn at the corrosion interface seems to further hinder the corrosion of Mg matrix. All of these factors confer a slower and more uniform corrosion on Mg0.5Zn0.2GexCa (x < 0.1 wt%) alloy, which provides favorable candidates for the further processing to gain suitable biodegradable Mg alloys.
Some Mean Convergence Theorems for the Maximum of Normed Double Sums of Banach Space Valued Random Elements

In this correspondence, we establish mean convergence theorems for the maximum of normed double sums of Banach space valued random elements. Most of the results pertain to random elements which are M-dependent. We expand and improve a number of particular cases in the literature on mean convergence of random elements in Banach spaces. One of the main contributions of the paper is to simplify and improve a recent result of Li, Presnell, and Rosalsky [Journal of Mathematical Inequalities, 16, 117-126 (2022)]. A new maximal inequality for double sums of M-dependent random elements is proved which may be of independent interest. The sharpness of the results is illustrated by four examples.
A Weighted Flow related to a Trudinger-Moser Functional on Closed Riemann Surface

In this paper, with (Σ, g) being a closed Riemann surface, we analyze the possible concentration behavior of a heat flow related to the Trudinger-Moser energy. We obtain a long time existence for the flow. And along some sequence of times t_k → +∞, we can deduce the convergence of the flow in H~2(Σ). Furthermore, the limit function is a critical point of the Trudinger-Moser functional under certain constraint.
Inhibition of USP7 enhances CD8~+ T cell activity in liver cancer by suppressing PRDM1-mediated FGL1 upregulation

Lymphocyte activation gene 3 (LAG3), an immune checkpoint molecule expressed on activated T cells, functions as a negative regulator of immune responses. Persistent antigen exposure in the tumor microenvironment results in sustained LAG3 expression on T cells, contributing to T cell dysfunction. Fibrinogen-like protein 1 (FGL1) has been identified as a major ligand of LAG3, and FGL1/LAG3 interaction forms a novel immune checkpoint pathway that results in tumor immune evasion. In addition, ubiquitinspecific peptidase 7 (USP7) plays a crucial role in cancer development. In this study we investigated the role of USP7 in modulation of FGL1-mediated liver cancer immune evasion. We showed that knockdown of USP7 or treatment with USP7 inhibitor P5091 suppressed liver cancer growth by promoting CD8~+ T cell activity in Hepa1-6 xenograft mice and in HepG2 or Huh7 cells cocultured with T cells, whereas USP7 overexpression produced the opposite effect. We found that USP7 upregulated FGL1 in HepG2 and Huh7 cells by deubiquitination of transcriptional factor PR domain zinc finger protein 1 (PRDM1), which transcriptionally activated FGL1, and attenuated the CD8~+ T cell activity, leading to the liver cancer growth. Interestingly, USP7 could be transcriptionally stimulated by PRDM1 as well in a positive feedback loop. P5091, an inhibitor of USP7, was able to downregulate FGL1 expression, thus enhancing CD8~+ T cell activity. In an immunocompetent liver cancer mouse model, the dual blockade of USP7 and LAG3 resulted in a superior antitumor activity compared with anti-LAG3 therapy alone. We conclude that USP7 diminishes CD8~+ T cell activity by a USP7/PRDM1 positive feedback loop on FGL1 production in liver cancer; USP7 might be a promising target for liver cancer immunotherapy.
转角双层MoS_2莫尔超晶格中接近室温的关联电子态

通过转角或晶格失配构造二维范德华材料莫尔超晶格为凝聚态物理、材料物理、光学等领域的研究注入了新的活力.过去几年的理论和实验工作表明,二维材料莫尔超晶格系统是研究和调控强关联与拓扑量子物态的理想平台.具体而言,基于多种二维半导体过渡金属硫族化合物莫尔超晶格,研究者先后实现了包括莫特绝缘体、强关联电子晶体态、近藤晶格、量子自旋霍尔效应、整数与分数量子反常霍尔效应等在内的一系列强关联和拓扑量子物态.相较于以魔角双层石墨烯为代表的各类石墨烯莫尔超晶格系统,半导体莫尔超晶格中的强关联和拓扑量子物态具有更大的能量尺度,因此能够在相对较高的温区内存在;但即便如此,目前二维半导体莫尔超晶格中的强关联和拓扑量子物态仍只能在远低于室温的条件下存在,这在一定程度上限制了对这些量子物态的应用.
空腔材料的化学创制、功能调控及应用

空腔材料包括中空、多孔、管状等材料.由于具有空腔结构、高孔隙率、结构化表面等多尺度纳米结构和组成,空腔材料可实现物质的高效负载和传递,被广泛用于能量转换与存储、催化、吸附、分离、生物医药等领域.随着合成方法的进步,具有多壳层、多腔体等独特复杂结构的空腔材料展示出更为丰富的功能和更加广阔的应用前景.实现功能导向空腔材料的设计、合成与过程的精准控制是突破现有材料的性能极限和功能制约的关键,是为能源、环境、医学、制造等科技领域提供满足应用需求的核心材料和关键技术的基石.
DNA硫修饰结合蛋白的序列偏好性表征及应用

DNA表观修饰在生命体中广泛存在,它们往往通过其特异性的识别蛋白来发挥功能. DNA硫修饰(phosphorothioate DNA, PT-DNA)是一种近年来发现的新型DNA大分子修饰,其化学本质是DNA磷酸二酯键中的一个非桥接氧原子被硫原子取代所形成的磷硫酰化修饰; DNA硫修饰可以被硫结合结构域(sulfur binding domain, SBD)特异性识别和结合,从而参与细菌限制修饰系统等生命过程. SBD广泛存在于细菌界,可以识别多种序列的硫修饰DNA,然而其序列偏好性还缺乏完善的表征方法,极大地限制了DNA硫修饰与SBD的应用研究.为此,我们开发了硫结合特异性测序(sulfur binding specificity-sequencing, SBS-seq)技术,解决了SBD的高分辨率完整序列偏好性的检测难题.利用该技术,我们可以在单碱基分辨率鉴定SBD的序列偏好性,并针对所有可能序列绘制SBD识别图谱,为开发新型核酸检测技术提供帮助.
度普利尤单抗治疗非特应性皮炎皮肤病的研究进展

度普利尤单抗是2型炎症反应的有效抑制剂,除了被批准用于中重度特应性皮炎的治疗,在其他2型炎症反应性皮肤病的治疗中也显示出了疗效。该文主要综述了度普利尤单抗在非特应性皮炎皮肤病中的应用,包括正在开展临床试验评估的变态反应性接触性皮炎、钱币状湿疹、慢性手部湿疹、慢性自发性荨麻疹、胆碱能性荨麻疹、寒冷性荨麻疹、瘙痒症、结节性痒疹、大疱性类天疱疮、内瑟顿综合征、瘢痕疙瘩、局限性硬皮病和斑秃等。
影响青藏高原植被生产力的极端气候阈值

多种与水分和热量相关的极端气候事件对青藏高原植被生长造成了不利影响.然而,目前尚不清楚多大程度的极端气候胁迫水平会导致植被生长出现强烈响应.为了填补这一知识空白,我们综合利用水文气象数据和卫星遥感获取的植被指数,检测了2001~2018年间影响植被生产力对干旱、极端高温和极端低温响应的两个关键气候阈值(反映植被生产力响应发生突变和对植被损害达到最大).结果表明,当土壤湿度下降到正常水平的(-1.41 ±0.6)个标准差(σ)以下时,植被生产力对干旱事件的响应频率会迅速增加;当土壤湿度低于(-2.98±0.9)σ时,干旱对植被生产力造成的损害达到最大.区域上极端低温的阈值平均值为(-1.44±0.5)σ和(-2.53±0.8)σ,而极端高温的阈值平均值为(1.34±0.4)σ和(2.31±0.4)σ.这表明,极端高温比极端低温更易引发植被生产力的强烈响应.此外,我们发现极端温度事件中土壤水分亏缺的复合效应降低了极端低温和极端高温的阈值.基于地球系统模式预测,到2100年,青藏高原的西南部和东北部的部分地区将有极高的风险受到超过阈值的极端气候事件影响.本研究基于极端气候阈值识别了青藏高原地区具有高影响力的极端气候事件,提高了对不同极端气候事件植被生长响应的认识,为评估极端气候事件对区域生态系统的影响提供了研究范例.
生成对抗网络在CT与MR图像虚拟生成中的研究进展

深度学习可以自动提取图像特征,而基于深度学习的生成对抗网络(GAN)可以通过学习图像特征,生成临床所需的高质量虚拟医学影像图像,是医学影像人工智能领域的热点研究方向。目前,已有较多学者对基于GAN虚拟生成图像进行了初步研究。本文对GAN结构进行了概述,综述了GAN在CT/MR单模态图像虚拟生成和CT-MR间跨模态图像虚拟生成方面的最新研究进展,并对其面临的挑战和应用前景进行总结和展望。