mlsa-iai-msu-lab/ru_sci_bench_zho_cite_reranking huggingface dataset:
Fully Fabric‑Based Triboelectric Nanogenerators as Self‑Powered Human–Machine Interactive Keyboards

Combination flexible and stretchable textiles with self-powered sensors bring a novel insight into wearable functional electronics and cyber security in the era of Internet of Things. This work presents a highly flexible and self-powered fully fabric-based triboelectric nanogenerator (F-TENG) with sandwiched structure for biomechanical energy harvesting and real-time biometric authentication. The prepared F-TENG can power a digital watch by low-frequency motion and respond to the pressure change by the fall of leaves. A self-powered wearable keyboard (SPWK) is also fabricated by integrating large-area F-TENG sensor arrays, which not only can trace and record electrophysiological signals, but also can identify individuals’ typing characteristics by means of the Haar wavelet. Based on these merits, the SPWK has promising applications in the realm of wearable electronics, self-powered sensors, cyber security, and artificial intelligences.
How rice organs are colored: The genetic basis of anthocyanin biosynthesis in rice

Anthocyanins are a major subclass of flavonoids that have diverse biological functions and benefit human health. In rice (Oryza sativa), the various colors shown by organs are due mainly to the accumulation of anthocyanins and are traits associated with domestication. Elucidating the genetic basis of anthocyanin biosynthesis in rice would support the engineering of anthocyanins as well as shedding light on the evolutionary history of O. sativa. We summarize recent progress in rice anthocyanin biosynthesis research, including gene cloning, biosynthetic pathway discovery, and study of the domestication process. We discuss the application of anthocyanin biosynthesis genes in rice breeding. Our object is to broaden knowledge of the genetic basis of anthocyanin biosynthesis in rice and support the breeding of novel rice cultivars.
Assessment of ecological importance of the Qinghai-Tibet Plateau based on ecosystem service flows

Assessments of ecological importance based on static indexes that do not consider service flows frequently underestimate the importance of the Qinghai-Tibet Plateau as a “source”. On the basis of natural environmental characteristics, this study selected six type of ecosystem services for evaluation, including water retention, soil retention, carbon sequestration, biodiversity conservation, sandstorm prevention, and tourism. According to the attributes of each ecosystem service flow, we calculated the flow length and traffic accessibility indexes, using ArcGIS hydrological module and kernel functions separately, to comprehensively analyse the ecological importance levels of the Qinghai-Tibet Plateau. Results showed that after considering the service flows, the ecologically important zone shifted to the core area of the Three River Source Region, such as Zadoi County located in the Tanggula Mountains. The area of extreme importance is mainly distributed in the Yarlung Zangbo River basin, Tanggula Mountains, Hengduan Mountains, and Qilian Mountains, which accounts for 31.7% of the Qinghai-Tibet Plateau, providing approximately 60% of the ecosystem services and having extremely high protection efficiency and protection value. By introducing ecosystem service flow indexes, this study confirmed the ecological importance of core source areas such as the Tanggula Mountains, weakened the space bias caused by not considering the spatial transfer of ecosystem services, and provided technical support for optimizing ecological protection strategies and coordinating regional development.
Changing mountain farmscapes: vulnerability and migration drivers in the Paute River watershed, Southern Ecuador

Abrupt changes in land use/land cover have often characterized Andean rural landscapes. This is particularly notorious in the Paute River watershed in southern Ecuador. We seek to show how, under tenets of the global economy, rural mountain landscapes suffer constant modifications due to the agricultural practices of dwellers and migrants. Erosion of arable slopes takes center stage in analyzing vulnerability due to the high erodibility factor found in this watershed. By using remote sensing and GIS applications, we analyzed the potential erodibility with intersections of rural development constraining of ecosystem services, including the production of water, food, and cultural values in the Paute River watershed. We found six sources of migratory flows and analyzed topographic and elevation effects in potential erodibility indexes of agroecological options to ameliorate the environmental stress. We identified factors associated with migration trends observed in the area and assessed vulnerability issues of resource management that could prevent deforestation, soil erosion, and acculturation amidst the pressures of development in the region. We conclude that sustainable development options can be implemented with a watershed management approach oriented to diminish emigration. This approach shall be integrative, inclusive, and respectful of the rich biocultural diversity heritage conservation of southern Ecuador.
A DIFFUSIVE SVEIR EPIDEMIC MODEL WITH TIME DELAY AND GENERAL INCIDENCE

In this paper, we consider a delayed diffusive SVEIR model with general incidence. We first establish the threshold dynamics of this model. Using a Nonstandard Finite Difference (NSFD) scheme, we then give the discretization of the continuous model. Applying Lyapunov functions, global stability of the equilibria are established. Numerical simulations are presented to validate the obtained results. The prolonged time delay can lead to the elimination of the infectiousness.
Effect of microstructure evolution on Luders strain and tensile properties in an intercritical annealing medium-Mn steel

The influence of microstructural characteristics on Luders strain and mechanical properties was explored by means of altering thermo-mechanical circumstances in an intercritical annealing (IA) medium-Mn Fe-11Mn-0.09C-0.25Si (wt.%) steel.By IA of cold-rolled samples with severe plastic deformation,exclusively equiaxed dual phases were obtained because of active recovery and recrystallization.The equiaxed austenite (γ_E) with a larger size and inadequate chemical concentration was more readily transformed into martensite,and subsequent transformation-induced plasticity (TRIP) effect was triggered actively at relatively higher IA temperature,lessening localized deformation.In addition,grown-in dislocations were prone to multiply and migrate around a broad mean free path for coarser equiaxed ferrite (α_E) due to weakening dynamic recovery;therefore,it was the ensuing increased mobility of dislocations instead of reserving plentiful initial dislocation density that facilitated the propagation velocity of Luders bands and the accumulation of work hardening.In contrast,the bimodal-grained microstructure with lath-like and equiaxed austenite (γ_L + γ_E) satisfactorily contributed to a smaller yield point elongation (YPE) without compromise of comprehensive mechanical properties on the grounds that austenitic gradient stability gave rise to discontinuous but sustainable TRIP effect and incremental work hardening.Hence,Luders strain is closely related to the absence of work hardening in the region which yields locally.It follows that the decreased stability of retained austenite,favorable mobility of dislocations and the bimodal-grained structure all prominently make up for the insufficiency of work hardening,thereof resulting in a limited YPE.
高血压患者中原发性醛固酮增多症检出、诊断和治疗的指导意见

原发性醛固酮增多症(primary aldosteronism, PA)是由于肾上腺皮质病变分泌过多醛固酮,导致潴钠排钾、容量负荷增加,以高血压、低血钾、低肾素、高醛固酮为典型表现的临床症候群,是一种常见的内分泌性高血压。大量研究证实过量的醛固酮可诱导氧化应激、炎症反应,损伤血管内皮,引起心肌、肾脏纤维化和血管重构,造成独立于血压之外的心血管损害,显著增加心血管病的发病和死亡风险。有荟萃分析显示:与原发性高血压相比,PA可增加脑卒中患病风险2.58倍、冠状动脉疾病1.77倍、心房颤动3.52倍、心力衰竭2.05倍,使糖尿病、代谢综合征及左心室肥厚的风险分别增加1.33、1.53及2.29倍。许多研究还发现PA增加精神心理、骨代谢疾病及大动脉钙化的风险。多项国内外PA临床实践指南或专家共识(附表1)均强调了该病的危害及早期筛查诊治的重要性,但由于这些指南或共识多为内分泌专业学会制定,而PA患者中绝大多数以高血压或其严重并发症(主动脉夹层、严重心律失常、脑卒中、肾功能衰竭等)就诊于心血管科或其他相应科室,造成患者群体与专业技术队伍分离,导致大量PA患者长期误诊甚至带来严重的后果。结合当前心血管科医生对PA认识严重不足的现实情况,为加强心血管病及相关专业医生对该病的认识和重视,实现PA的早筛查、早诊断及早治疗,减少心脑血管严重并发症,由国家卫生健康委高血压诊疗研究重点试验室专家团队组织撰写,经国内相关领域专家集体讨论,本重点实验室学术委员会审议通过,最终形成本指导意见。
孕产期急性肠系膜上静脉血栓形成6例临床分析及文献复习

背景与目的:孕产妇是静脉血栓栓塞症(VTE)的高危人群。由于此时血液呈高凝状态,腹腔门静脉系统长时处于受胀大子宫压迫,门脉血流变缓,静脉壁内皮因受压而损伤,容易导致急性肠系膜上静脉血栓形成(ASMVT)。该病发病隐匿,症状不典型,容易误诊,而一旦诊治不及时,病情迅速恶化,出现肠坏死,甚至危及生命,本文总结近2年来我科收治的孕产期ASMVT患者的临床资料,分析孕产期ASMVT患者的临床特点及诊疗方法。方法:回顾性分析2018年10月—2020年9月我科收治6例孕产期ASMVT患者的临床资料。结果:6例患者均以腹痛、腹胀入院,由增强CT明确诊断;年龄27~34岁;入院时起病2~6 d;5例剖宫产术后,1例引产术后,发病时间为术后7~30 d;3例患者行手术治疗:1例行肠切除和直接置管溶栓、1例行直接置管溶栓、1例行间接置管溶栓,另3例仅行抗凝治疗。6例均随访,恢复良好。结论:ASMVT起病急,无特异性表现,孕产妇处于高凝状态,是血栓好发人群,应加强筛查与防控,早诊断、早治疗能明显提高母婴生活质量。
老年慢性病患者的健康水平与幸福感:夫妻关系与亲子关系的中介作用

目的研究老年慢性病患者家庭关系在健康水平与幸福感间的作用,为政府制订相关举措提供科学依据,以提升患者幸福感。方法基于中国家庭追踪调查(2018)中969位老年慢性病患者的数据,对患者的健康水平、家庭关系和幸福感进行差异检验,并对健康水平影响幸福感的路径进行分析。结果女性患者对夫妻关系的评价要低于男性患者(P <0.01);农业户口患者的幸福感要显著低于非农业户口患者(P <0.01);不同收入水平的患者在健康水平、夫妻关系和幸福感上具有显著差异(P <0.01);老年慢性病患者的健康水平直接影响幸福感(P <0.01),同时也会通过夫妻关系和亲子关系两条路径影响患者的幸福感(P <0.01)。结论为提升老年慢性病患者的幸福感,政府应切实加强老年慢性病患者的健康管理工作,重视传统“孝”文化的建设,并构建多元化的养老服务体系。
Fast Model-based Design of High Performance Permanent Magnet Machine for Next Generation Electric Propulsion for Urban Aerial Vehicle Application

Model order reduction(MOR)is considered as a good alternative to reduce the computational scale for electro-magnetic problems.The aim of this work is to introduce the use of dynamic mode decomposition(DMD)as a promising tool for MOR to analyze its effectiveness in creating a fast model-based design platform for the permanent magnet motor design for ur-ban aerial vehicles(UAVs).Using a singular value decomposition(SVD)based DMD,the design process is constructed and verified against different scenarios.
Model Predictive Current Control with A daptive-adjusting Timescales for PMSMs

A model predictive current control(MPCC)with adaptive-adjusting method of timescales for permanent magnet synchronous motors(PMSMs)is proposed in this paper to improve the dynamic response and prediction accuracy in transient-state,while lessening the computational burden and improving the control performance in steady-state.The timescale characteristics of different parts of MPCC,such as signal sampling,prediction calculation,control output,model error correction,are analyzed,and the algorithm architecture of MPCC with multi-timescale is proposed.The difference between reference and actual speed,and the change rate of actual speed are utilized to discriminate the transient state of speed change and load change,respectively.Adaptive-adjusting method of control period and prediction stepsize are illustrated in detail after operation condition discrimination.Experimental results of a PMSM are presented to validate the effectiveness of proposed MPCC.In addition,comparative evaluation of single-step MPCC with fixed timescale and proposed MPCC is conducted,which demonstrates the superiority of proposed control strategy.
Model Predictive Control-Based Direct Torque Control for Matrix Converter-Fed Induction Motor with Reduced Torque Ripple

To reduce the torque ripple in motors resulting from the use of conventional direct torque control(DTC),a model predictive control(MPC)-based DTC strategy for a direct matrix converter-fed induction motor is proposed in this paper.Two new look-up tables are proposed,these are derived on the basis of the control of the electromagnetic torque and stator flux using all the feasible voltage vectors and their associated switching states.Finite control set model predictive control(FCS-MPC)has then been adopted to select the optimal switching state that minimizes the cost function related to the electromagnetic torque.Finally,the experimental results are shown to verify the reduced torque ripple performance of the proposed MPC-based DTC method.
Design and Optimization of Reverse Salient Permanent Magnet Synchronous Motor Based on Controllable Leakage Flux

In this paper,a controllable leakage flux reverse salient permanent magnet synchronous motor(CLF-RSPMSM)is designed,which has the advantages of wide speed range and low irreversible demagnetization risk.Firstly,the principle of controllable leakage flux and reverse saliency effect is introduced,and the design of the rotor flux barrier is emphatically discussed.Secondly,multiple design variables are stratified by the comprehensive sensitivity method,and the main variables are screened out.Then the relationship between the main variables and the optimization goal is discussed according to the response surface diagram.Thirdly,a sequential nonlinear programming algorithm(SNP)is used to optimize the three optimization objectives comprehensively.Finally,the electromagnetic performance of the proposed motor is compared with the initial IPM motor,the mechanical strength of the proposed rotor is analyzed,and the results verify the effectiveness of the design and optimization method of the proposed motor.
Deleterious effects of whole- body vibration on the spine: A review of in vivo, ex vivo, and in vitro models

Occupational exposure to whole- body vibration is associated with the development of musculoskeletal, neurological, and other ailments. Low back pain and other spine disorders are prevalent among those exposed to whole- body vibration in occupational and military settings. Although standards for limiting exposure to whole- body vibration have been in place for decades, there is a lack of understanding of whole- body vibration- associated risks among safety and healthcare professionals. Consequently, disorders associated with whole- body vibration exposure remain prevalent in the workforce and military. The relationship between whole- body vibration and low back pain in humans has been established largely through cohort studies, for which vibration inputs that lead to symptoms are rarely, if ever, quantified. This gap in knowledge highlights the need for the development of relevant in vivo, ex vivo, and in vitro models to study such pathologies. The parameters of vibrational stimuli (eg, frequency and direction) play critical roles in such pathologies, but the specific cause- and- effect relationships between whole- body vibration and spinal pathologies remain mostly unknown. This paper provides a summary of whole- body vibration parameters; reviews in vivo, ex vivo, and in vitro models for spinal pathologies resulting from whole- body vibration; and offers suggestions to address the gaps in translating injury biomechanics data to inform clinical practice.
MMC-MTDC Transmission System with Partially Hybrid Branches

This paper proposes a hybrid submodule modular multilevel converter(MMC)topology which is suitable for multi terminal direct current(MTDC)transmission systems.Each arm of the proposed MMC topology consists of a half-bridge submodule(HBSM)branch and two parallel full-bridge submodule(FBSM)branches.Comparing with the conventional MTDC transmission system,the proposed topology can selectively block the DC fault current and isolate the corresponding fault line without expensive DC circuit breakers(DCCBs).Thus,the influence range of the DC fault can be reduced and the reliability of the power supply can be improved as well.The corresponding modulation and voltage balancing strategies are developed for the proposed hybrid MMC topology.The feasibility of the proposed topology and control strategy is verified in the MATLAB/Simulink simulation.
Robust Dichotomy Solution-Based Model Predictive Control for the Grid-Connected Inverters with Disturbance Observer

This paper proposes a robust dichotomy-based model predictive control(DS-MPC)with a fixed switching frequency for the grid-connected inverter(GCI).The proposed fast dichotomy algorithm can select and deduce the optimal voltage vector dynamically through the space vector plane.Therefore,the proposed DS-MPC strategy could ensure dynamic performance and steady-state performance as well.Also,the current control robustness can be improved through DS-MPC with disturbance observer(DO)based on the extended Kalman filter(EKF).The novelty of this control is that the current control with fast dynamic response can be realized in the weak grid,even if the grid voltages are greatly distorted.Simulation and hardware experiments on the weak grid validate the effectiveness of the proposed DS-MPC with the EKF observer approach.
Rutting prediction models for flexible pavement structures:A review of historical and recent developments

Rutting is the major distress mode in flexible pavements occurring due to the repeated movement of traffic loading.Deformation in the pavements comprise of both recoverable(elastic)and irrecoverable(plastic)part.Overall deformation occurring in the flexible pavement system due to continuous vehicular movement is contributed from all the components of pavement.A number of empirical models have been proposed by several researchers for analysis and prediction of accumulated rutting in different components of pavement.The accumulated permanent strain has been expressed as the function of the number of load applications and deviator stress applications in most of the models proposed;however,factors such as stress state,moisture content,material type and environmental conditions also impose a significant influence on the permanent deformation characteristics of pavement materials under cyclic loading.In this article,a comprehensive review has been carried out covering every aspect of deformation related to distress occurring in pavements.Important rut models,modeling approaches and modern concepts in the rutting analysis of pavement structures have been presented.In addition to review,fallacy existing in the current design practices related to adaptation of stiffness parameters and negligence of shear strength aspect of subgrade soil has been also presented with the support of literatures.
Direct preparation of semi-solid billets by the semi-solid isothermal heat treatment for commercial cold-rolled ZL104 aluminum alloy

Semi-solid isothermal heat treatment was proposed to directly process cold-rolled ZL104 aluminum alloys and obtain semi-solid billets. The effects of two process parameters, namely, temperature and processing time, on the microstructure and hardness of the resulting billets were also experimentally examined. Average grain size (AGS) increased and the shape factor (SF) of the grain improved as the process temperature increased. The SF of the grain also increased with increasing processing time, and the AGS was augmented when the processing time was prolonged from 5 to 20 min at 570°C. The hardness of the aluminum alloy decreased because of the increase in AGS with increasing temperature and processing time. The optimal temperature and time for the preparation of semi-solid ZL104 aluminum alloys were 570°C and 5 min, respectively. Under optimal process parameters, the AGS, SF, and hardness of the resulting alloy were 35.88 μm, 0.81, and 55.24 MPa, respectively. The Lifshitz-Slyozov-Wagner relationship was analyzed to determine the coarsening rate constant at 570°C, and a rate constant of 1357.2 μm~3/s was obtained.
Preparation of CaO-containing carbon pellets from coking coal and calcium oxide: Effects of temperature, pore distribution and carbon structure on compressive strength in pyrolysis furnace

CaO-containing carbon pellets (CCCP) were successfully prepared from well-mixed coking coal (CC) and calcium oxide (CaO) and roasted at different pyrolysis temperatures. The effects of temperature, pore distribution, and carbon structure on the compressive strength of CCCP was investigated in a pyrolysis furnace (350-750°C). The results showed that as the roasting temperature increased, the compressive strength also increased and furthermore, structural defects and imperfections in the carbon crystallites were gradually eliminated to form more organized char structures, thus forming high-ordered CC. Notably, the CCCP preheated at 750°C exhibited the highest compressive strength. A positive relationship between the compressive strength and pore-size homogeneity was established. A linear relationship between the compressive strength of the CCCP and the average stack height of CC was observed. Additionally, a four-stage caking mechanism was developed.
Insulin-induced conformational changes in the full-length insulin receptor: structural insights gained from molecular modeling analyses

Insulin receptor plays an important role in the regulation of energy metabolism. Dysfunction of insulin receptor (IR) can lead to many disease states, such as diabetes mellitus. Deciphering the complex dynamic structures of human IR and its mechanism of activation would greatly aid in understanding IR-mediated signaling pathways and also in designing new drugs (including nonpeptidal insulin analogs) to treat diabetes mellitus. Experimental evidence about IR structures has been gradually obtained by biologists over the past three decades. Based on available experimental structures of IR in different states, here we employ molecular modeling approach to construct the full-length IR structures in different states and model its structural and conformational changes during insulin-induced IR activation. Several key possible intermediate states are constructed based on structural alignment, rotation, and computational modeling. Based on the structures of the full-length IR in different states, it appears that there are two possible conformational transition pathways: one is symmetric and the other one is asymmetric. Structural changes and motions of different domains of the full-length IR along the pathways are analyzed. The role of insulin binding to IR in facilitating the conformational transition of the receptor is analyzed. Information and insights derived from our present structural modeling analyses may aid in understanding the complex dynamic, structural, and conformational changes during the process of IR activation.
Self-made allostery: endogenous COMP antagonizes pathologic AT1_AR signaling

The identification and development of biased modulators of proximal G protein-coupled receptor (GPCR) signaling to prevent pathological disease progression has been at the forefront of recent drug discovery efforts. Recently, Fu et al. identified cartilage oligomeric matrix protein (COMP) as an endogenous negative allosteric modulator of β-arrestin (βarr)-dependent angiotensin II (Ang II) Type 1A receptor (AT1_AR) signaling, which attenuates the development of abdominal aortic aneurysm (AAA), a chronic inflammatory vascular disease lacking pharmacological treatment options.