mlsa-iai-msu-lab/ru_sci_bench_zho_cite_reranking huggingface dataset:
Identifying drivers of urban landuse changes in the Wenchuan earthquakeaffected area by using night-time light data

To learn the process of urban land evolution before and after an earthquake is vital to formulate the urban reconstruction control policies and recovery measures in the earthquake-stricken areas. However, spatiotemporal evolution and its driving factors of urban land in earthquake-prone areas remains limited due to the scarcity of ground observation data. This research, leveraging night-time light remote sensing imagery and land cover data, conducted a comprehensive analysis of the long-term evolution characteristics of urban land in earthquakeprone areas. It introduced methodologies for assessing the socio-economic impact and the primary natural environmental factors driving urban land evolution in these regions. To validate the proposed methods, the 2008 Wenchuan earthquake-affected area in China was selected as a representative study area. The results indicated that the average Digital Number (DN) values in socio-economically impacted areas showed a trend of rising, falling, and then rising again after the earthquake. DN values in three types of damaged areas including Type II,Type III, and Type IV exceeded preearthquake levels. The analysis of determinative factors influencing urban land evolution revealed that slope and elevation were key elements in controlling urban land expansion before the earthquake, whereas factors such as slope, elevation, lithology, and faults had a stronger influence on urban land expansion after the earthquake. It can be seen that, in view of the differences in the natural conditions of regions for post-disaster reconstruction, the local government need to actively adjust and adapt to urban spatial planning, so as to leverage the scale effect of large-scale inputs of funds, facilities, human resources and other factors after the disaster, thus enhancing resilience and recovery efficiency in response to disaster impacts.
Regulating charge heterogeneity of lithium-ion battery via tab design toward maximizing extreme fast-charging performance

Construction of high-throughput electrical transmission structure via tab design is an effective way of developing high-power lithium-ion batteries (LIBs). In this paper, five types of 18650-cylindrical LIBs with different tab structures were prepared to analyze the mechanism of the effects of tab structure on battery performance, including internal resistance, C-rate performance, thermal and cycle. Research showed that the number of tabs and position were important factors, which strongly decided the internal resistance of battery. By adjusting tab structure, an extremely fast charging performance surpassing 10C can be achieved. Besides, the battery showed excellent cycle stability of more than 3000 cycles at 6C, which was proved to be due to optimizing the Li-ion concentration distribution of electrodes. The work also emphasized that excessive tabs contributed to no significant improvement in electrochemical performances at normal charging/discharging rates (<1C) for 18650 cells. The relationship between the operation conditions and tab design is established to further guide the manufacturing.
Advanced ferroferric oxide-based composites for lithium-ion battery: Recent developments and future perspectives

Lithium-ion batteries (LIBs) possess remarkable advantages in terms of abundant reserves, high theoretical capacity, and low cost. However, the current graphite anodes fail to meet the daily requirements of individuals. The study of novel high-energy storage LIBs anode materials is increasingly imperative. Ferroferric oxide (Fe_3O_4) anode material is listed as a research object due to its exceptional theoretical specific capacity, cost-effectiveness, sufficient resources, and simple preparation process. However, the low conductivity and volume expansion issues limit its long-term development and widespread application. Recently, extensive research has been reported on Fe_3O_4 composite electrode materials with diverse structures, achieving significant achievements. This review summarizes the latest progress in high-performance Fe_3O_4 composites based on recent research. Herein, Fe_3O_4 composite anode materials based on dimensions is categorized and the structure-property relationship with different dimensions is covered. This work will motivate the preparation of Fe_3O_4-based composites electrodes with high electrochemical performance for lithium-ion batteries, aims to promote the commercial application of rechargeable lithium-ion energy storages.
Physics-data-driven intelligent optimization for large-aperture metalenses

Metalenses have gained significant attention and have been widely utilized in optical systems for focusing and imaging, owing to their lightweight, high-integration, and exceptional-flexibility capabilities. Traditional design methods neglect the coupling effect between adjacent meta-atoms, thus harming the practical performance of meta-devices. The existing physical/data-driven optimization algorithms can solve the above problems, but bring significant time costs or require a large number of data-sets. Here, we propose a physics-data-driven method employing an “intelligent optimizer” that enables us to adaptively modify the sizes of the meta-atom according to the sizes of its surrounding ones. The implementation of such a scheme effectively mitigates the undesired impact of local lattice coupling, and the proposed network model works well on thousands of data-sets with a validation loss of 3×10~(-3). Based on the “intelligent optimizer”, a 1-cm-diameter metalens is designed within 3 hours, and the experimental results show that the 1-mm-diameter metalens has a relative focusing efficiency of 93.4% (compared to the ideal focusing efficiency) and a Strehl ratio of 0.94. Compared to previous inverse design method, our method significantly boosts designing efficiency with five orders of magnitude reduction in time. More generally, it may set a new paradigm for devising large-aperture meta-devices.
Anchoring heterometallic cluster on P-doped carbon nitride for efficient photocatalytic nitrogen fixation in water and air ambient

Light-driven nitrogen fixation to produce ammonia is a green and economical technology of nitrogen reduction but is still quite challenging, especially in an air atmosphere without any sacrificial reagents. Herein, we demonstrate efficient photocatalytic nitrogen fixation using water and air directly by loading lanthanide-transition metal(4f-3d) cluster NdCo_3 on two-dimensional P-doped graphitic carbon nitrides(PCN) material surface. Benefiting from the increase in the number of nitrogen vacancies(NVs) and highly matched band gap structure and excellent hole trapping ability of clusters, the NdCo_3/PCN photocatalyst exhibits efficient nitrogen reduction activity with 371(in air) and 825 μmol h~(-1) g~(-1)(in pure nitrogen) without any sacrificial reagents. The introduction of potassium sulfate inhibits hydrogen production and promotes nitrogen reduction activation. This work suggests that anchoring precisely structured clusters on 2D materials may enhance photocatalytic nitrogen reduction under normal temperature and pressure.
Commentary on "Synchronized activity of sensory neurons initiates cortical synchrony in a model of neuropathic pain"

In patients,as well as in animal models,hypersensitivity to external stimuli (hyperalgesia and allodynia) or spontaneous pain is often the first,and the most disabling,symptom of neuropathy (Davis et al.,2020).The increased activity of sensitive neurons drives pain development,making ion channel modulation a fundamental target for current pharmacotherapy as well as one of the most investigated by the R&D departments of pharmaceutical companies (Bennett et al.,2019).
Hole-doping induced ferromagnetism in 2D materials

Two-dimensional (2D) ferromagnetic materials are considered as promising candidates for the future generations of splntronic devices. Yet, 2D materials with intrinsic ferromagnetism are scarce. Hereby, high-throughput first-principles simulations are performed to screen 2D materials that present a non-magnetic to a ferromagnetic transition upon hole doping. A global evolutionary search is subsequently performed to identify alternative possible atomic structures of the eligible candidates, and 122 materials exhibiting a hole-doping induced ferromagnetism are identified. Their energetic and dynamic stability, as well as magnetic properties under hole doping are investigated systematically. Half of these 2D materials are metal halides, followed by chalcogenldes, oxides, and nitrides, some of them having predicted Curie temperatures above 300 K. The exchange interactions responsible for the ferromagnetic order are also discussed. This work not only provides theoretical insights into hole-doped 2D ferromagnetic materials, but also enriches the family of 2D magnetic materials for possible spintronic applications.
动力螺旋小肠镜的临床应用进展

动力螺旋小肠镜是在传统手动螺旋小肠镜基础上发展而来的新型小肠镜,该设备创新性将电机与内镜集成,并利用外套管的螺旋形柔性鳍,将环轴旋转力量转化为沿轴推拉力量,提高了操作时效,节约了医疗人力资源,具有较好的应用前景。近年来,动力螺旋小肠镜相关的研究报道逐渐增多,是小肠镜诊治领域最新发展方向之一,文中从动力螺旋小肠镜的特点、安全性、有效性、高效性等方面进行综述,为内镜医师了解并合理应用该新型设备提供参考。
中国HIV合并HBV、HCV感染诊治专家共识

艾滋病是HIV感染人体后攻击免疫系统引发的全身性疾病。HBV和HCV感染是我国慢性病毒性肝炎、肝硬化、肝细胞癌(hepatocellular carcinoma,HCC)及肝病相关死亡的主要病因。临床上HIV合并HBV、HCV感染较为常见。合并感染不仅加速艾滋病病程进展,增加肝脏相关终点事件发生风险,还影响cART方案的选择,从而影响患者的生存及预后。为了终结三种病毒传播,联合国艾滋病规划署提出了"到2030年终结艾滋病流行的政治宣言"及"三个95%"的目标,世界卫生组织也提出了"2030年消除病毒性肝炎公共卫生危害"的目标。中国性病艾滋病防治协会HIV合并肝病专业委员会组织相关领域专家,基于国内外最新研究和循证医学证据、国内外权威指南及临床经验,针对HIV合并HBV、HCV感染的筛查、诊断、评估及治疗制定本共识,为临床规范化诊治提供指导,促进上述目标的实现。
Superior Fidelity and Distinct Editing Outcomes of SaCas9 Compared with SpCas9 in Genome Editing

A series of clustered regularly interspaced short palindromic repeats (CRISPR)-CRISPR associated protein 9 (Cas9) systems have been engineered for genome editing. The most widely used Cas9 is SpCas9 from Streptococcus pyogenes and SaCas9 from Staphylococcus aureus. However, a comparison of their detailed gene editing outcomes is still lacking. By characterizing the editing outcomes of 11 sites in human induced pluripotent stem cells (iPSCs) and K562 cells, we found that SaCas9 could edit the genome with greater efficiencies than SpCas9. We also compared the effects of spacer lengths of single-guide RNAs (sgRNAs; 18-21 nt for SpCas9 and 19-23 nt for SaCas9) and found that the optimal spacer lengths were 20 nt and 21 nt for SpCas9 and SaCas9, respectively. However, the optimal spacer length for a particular sgRNA was 18-21 nt for SpCas9 and 21-22 nt for SaCas9. Furthermore, SpCas9 exhibited a more substantial bias than SaCas9 for nonhomologous end-joining (NHEJ) +1 insertion at the fourth nucleotide upstream of the protospacer adjacent motif (PAM), indicating a characteristic of a staggered cut. Accordingly, editing with SaCas9 led to higher efficiencies of NHEJ-mediated double-stranded oligodeoxynucleotide (dsODN) insertion or homology-directed repair (HDR)-mediated adeno-associated virus serotype 6 (AAV6) donor knock-in. Finally, GUIDE-seq analysis revealed that SaCas9 exhibited significantly reduced off-target effects compared with SpCas9. Our work indicates the superior performance of SaCas9 to SpCas9 in transgene integration-based therapeutic gene editing and the necessity to identify the optimal spacer length to achieve desired editing results.
Effects of Acute Exercise on Verbal, Mathematical, and Spatial Insight Creativity

This experiment was designed to accommodate the diversified verbal, mathematical, and spatial skills of young adults, which have not yet to be collectively evaluated in research projects focused on acute exercise and creativity among college students. While emerging research suggests that acute moderate-intensity exercise may influence human creativity, creativity during and after exercise has not been experimentally investigated. Such differences are plausible, as previous work demonstrates that memory can be differentially influenced based on whether the memory task occurs during or after exercise. Therefore, the purpose of this study was to examine the effects of acute moderate-intensity treadmill walking, for 15 min, on verbal, mathematical, and spatial insight creativity performance while considering the timing of the exercise and creativity tasks. Among a sample of 20 undergraduate students, all completed three randomized laboratory visits in this within-subjects design: control condition, insight problem-solving following exercise, and insight problem-solving during exercise. They also completed six insight creativity tasks (two verbal, two mathematical, and two spatial tasks) per visit, with the order of taskpresentation randomized and counterbalanced across the three visits. Average insight creativity scores were similar across the three exercise manipulations: That is, verbal insight [F (2, 18) = 0.689, P = 0.51], mathematical insight [F (2, 18) = 0.033, P = 0.97], and spatial insight [F (2, 18) = 1.0, P = 0.38] performance were not statistically significant across the three visits. Thus, moderate-intensity acute exercise may not appreciably influence verbal, mathematical or spatial insight creativity.
The Influence of Fat Mass and Obesity-Associated (FTO) Gene on the Effect of Physical Activity (PA) on Risk of Obesity: Scoping Review

Purpose We aimed to conduct a scoping review by reviewing studies that investigated the influence of the fat mass and obesity-associated (FTO) gene on the effect of physical activity (PA) on risk of obesity. The research questions of this review were: (1) “What is known from existing literature about the influence of the FTO gene on the effect of physical activity on obesity?” (2) “What are the gaps in existing literature in that area?” Methods Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping reviews (PRISMAScR) Checklist and the five-stage methodological framework outlined by Arksey and O’Malley were utilized to conduct this scoping review. Four online databases were searched for articles between July 2021 and August 2021. The articles were chosen to be included if they were: published in English; included male and/or female adult participants (ages 18-65); looked at the effect of FTO on overweight/obesity; and included PA/exercise/physical fitness intervention or examination. Excluded studies were studies with a population that had a diagnosis of any disorder or condition other than obesity. Results Nine articles were selected for this scoping review, one of which is a conference abstract. Based on the type, the articles were categorized into intervention (n = 3), observational (n = 5), and review article (n = 1). All articles were summarized in terms of questions and main findings. Conclusion This scoping review presented evidence that the FTO gene could influence the effect of PA on obesity. The gaps in knowledge were evident in the limited number of intervention studies.
Comparison of the effects of submerged laser peening, cavitation peening and shot peening on the improvement of the fatigue strength of magnesium alloy AZ31

To investigate the improvement in the fatigue strength of magnesium alloy by peening methods, magnesium alloy AZ31 was treated by submerged laser peening (SLP), cavitation peening (CP), and shot peening (SP), and the fatigue properties were evaluated by a plane bending fatigue test. In the case of SLP, both the impact induced by laser ablation (LA) and that caused by laser cavitation (LC), which developed after LA, were used. In the present study, the fatigue life at a constant bending stress was examined to determine the suitable coverage. It was found that the fatigue strengths at N = 107 for the SLP, CP, and SP specimens treated by each optimum condition were 56%, 18%, and 16% higher, respectively, than that of the non-peened (NP) specimen, which was 97 MPa. The key factors in the improvement of fatigue strength by peening methods were work hardening and the introduction of compressive residual stress.
Achieving a novel solvent-free regeneration of LiBH_4 combining hydrogen storage and production in a closed material cycle

LiBH_4 has been considered as one of the most promising energy storage materials with its ultrahigh hydrogen capacity, which can supply hydrogen through hydrolysis process or realize hydrogen-to-electricity conversion via anodic oxidation reaction of direct borohydride fuel cells (DBFCs). However, the realization of practical hydrogen applications heavily depends on the effective synthesis of high-purity LiBH_4 and recycling of the spent fuels (LiBO_2·xH_2O). The present work demonstrates a convenient and high-efficiency solvent-free strategy for regenerating LiBH_4 with a maximum yield close to 80%, by retrieving its by-products with MgH_2 as a reducing agent under ambient conditions. Besides, the hydrogen released from the regeneration course can completely compensate the demand for consumed MgH2. The isotopic tracer method reveals that the hydrogen stored in LiBH_4 comes from both MgH_2 and coordinated water bound to LiBO_2. Here, the expensive MgH_2 can be substituted with the readily available and cost-effective MgH_2-Mg mixtures to simplify the regeneration route. Notably, LiBH_4 catalyzed by CoCl_2 can stably supply hydrogen to proton exchange membrane fuel cell (PEMFC), thus powering a portable prototype vehicle. By combining hydrogen storage, production and utilization in a closed cycle, this work offers new insights into deploying boron-based hydrides for energy applications.
Bi nanoparticles encapsulated in nitrogen-doped carbon as a long-life anode material for magnesium batteries

Bismuth has garnered significant interest as an anode material for magnesium batteries (MBs) because of its high volumetric specific capacity and low working potential. Nonetheless, the limited cycling performance (≤100 cycles) limits the practical application of Bi as anode for MBs. Therefore, the improvement of Bi cycling performance is of great significance to the development of MBs and is also full of challenges. Here, Bi nanoparticles encapsulated in nitrogen-doped carbon with single-atom Bi embedded (Bi@NC) are prepared and reported as an anode material for MBs. Bi@NC demonstrates impressive performance, with a high discharge capacity of 347.5 mAh g~(-1) and good rate capability (206.4 mAh g~(-1)@500 mA g~(-1)) in a fluoride alkyl magnesium salt electrolyte. In addition, Bi@NC exhibits exceptional long-term stability, enduring 400 cycles at 500 mA g~(-1). To the best of our knowledge, among reported Bi and Bi-based compounds for MBs, Bi@NC exhibits the longest cycle life in this work. The magnesium storage mechanism of Bi@NC is deeply studied through X-ray diffraction, transmission electron microscopy and X-ray photoelectron spectroscopy. This work provides some guidance for further improving the cycling performance of other alloy anodes in MBs.
Organic cathode materials for rechargeable magnesium-ion batteries: Fundamentals, recent advances, and approaches to optimization

Rechargeable magnesium-ion batteries (MIBs) are favorable substitutes for conventional lithium-ion batteries (LIBs) because of abundant magnesium reserves, a high theoretical energy density, and great inherent safety. Organic electrode materials with excellent structural tunability, unique coordination reaction mechanisms, and environmental friendliness offer great potential to promote the electrochemical performance of MIBs. However, research on organic magnesium battery cathode materials is still preliminary with many significant challenges to be resolved including low electrical conductivity and unwanted but severe dissolution in useful electrolytes. Herein, we provide a detailed overview of reported organic cathode materials for MIBs. We begin with basic properties such as charge storage mechanisms (e.g., n-, p-, and bipolartype), moving to recent advances in various types of organic cathodes including carbonyl-, nitrogen-, and sulfur-based materials. To shed light on the diverse strategies targeting high-performance Mg-organic batteries, elaborate summaries of various approaches are presented. Generally, these strategies include molecular design, polymerization, mixing with carbon, nanosizing and electrolyte/separator optimization. This review provides insights on exploring high-performance organic cathodes in rechargeable MIBs.
Live-cell super-resolution imaging unconventional dynamics and assemblies of nuclear pore complexes

Super-resolution microscopy has promoted the development of cell biology, but imaging proteins with low copy numbers in cellular structures remains challenging. The limited number of designated proteins within nuclear pore complexes (NPCs) impedes continuous observation in live cells, although they are often used as a standard for evaluating various SR methods. To address this issue, we tagged POM121 with Halo-SiR and imaged it using structured illumination microscopy with sparse deconvolution (Sparse-SIM). Remarkably, POM121-SiR exhibited more than six-fold fluorescence intensity and four-fold enhanced contrast compared to the same protein labeled with tandem-linked mCherry, while showing negligible photo-bleaching during SR imaging for 200 frames. Using this technique, we discovered various types of NPCs, including ring-like and cluster-like structures, and observed dynamic remodeling along with the sequential appearance of different Nup compositions. Overall, Halo-SiR with Sparse-SIM is a potent tool for extended SR imaging of dynamic structures of NPCs in live cells, and it may also help visualize proteins with limited numbers in general.
Application of data science in the prediction of solar energy for the Amazon basin: a study case

The need for renewable energy sources has challenged most countries to comply with environmental protection actions and to handle climate change. Solar energy figures as a natural option, despite its intermittence. Brazil has a green energy matrix with significant expansion of solar form in recent years. To preserve the Amazon basin, the use of solar energy can help communities and cities improve their living standards without new hydroelectric units or even to burn biomass, avoiding harsh environmental consequences. The novelty of this work is using data science with machine-learning tools to predict the solar incidence (W.h/m~2) in four cities in Amazonas state (north-west Brazil), using data from NASA satellites within the period of 2013-22. Decision-tree-based models and vector autoregressive (time-series) models were used with three time aggregations: day, week and month. The predictor model can aid in the economic assessment of solar energy in the Amazon basin and the use of satellite data was encouraged by the lack of data from ground stations. The mean absolute error was selected as the output indicator, with the lowest values obtained close to 0.20, from the adaptive boosting and light gradient boosting algorithms, in the same order of magnitude of similar references.