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M-type asteroids are historically thought to be exposed metallic cores of differentiated planets with a composition dominated by pure iron and nickel. However, recent spectral and radar observations reveal an insufficient number of M-type asteroids in the main belt. Here, we report unusual space weathering characteristics associated with a natural metal grain found in Chang'e 5 lunar soil. Microcraters, impact glass, iron whiskers, and unique vesicular rims on the surface of this grain help to explain the unusual properties of some potential M-type asteroids, including low thermal inertia and density. Our findings indicate that space weathering processes, including micrometeorite bombardment and solar wind irradiation, conceal the real surface signatures of M-type asteroids. Furthermore, the presence of He and Ge alloy on the metal grain suggests that M-type asteroids are not only a large metallic Fe and Ni reservoir but also a potential source of noble gases and precious metals.

Abstract Solar wind irradiation, as a crucial space weathering mechanism, alters the microscopic characteristics and reflectance spectrum of the lunar regolith, and its cumulative effect is strongly related to the exposure time. Ilmenite is highly resistant to solar wind irradiation. Here, we combined transmission electron microscopy, energy-dispersive X-ray spectroscopy, and electron energy loss spectroscopy to systematically illustrate the diverse space-weathered rims on the shoveled and drilled Chang’e-5 ilmenites resulting from varying degrees of solar wind irradiation, revealing that solar wind plays a key role in the early-stage alteration of exposed lunar soil. In addition, the space weathering microstructure observations are consistent with the model-predicted exposure history at the Chang’e-5 landing site and prove that the Chang’e-5 deep-layered drilled (~65 cm) and surface samples (

Abstract Liver cancer is the sixth most commonly diagnosed cancer and the third leading cause of cancer death in the world, and hepatocellular carcinoma (HCC) is the most common form of liver cancer. More than half of the HCC patients are diagnosed at an advanced stage and often require systemic therapy. Dysregulation of the activity of receptor tyrosine kinases (RTKs) is involved in the development and progress of HCC, RTKs are therefore the potential targets for systemic therapy of advanced HCC (aHCC). Currently, a total of six small molecule tyrosine kinase inhibitors (TKIs) have been approved for aHCC, including first-line sorafenib, lenvatinib, and donafenib, and second-line regorafenib, cabozantinib, and apatinib. These TKIs improved patients survival, which are associated with disease stage, etiology, liver function, tumor burden, baseline levels of alpha-fetoprotein, and treatment history. This review focuses on the clinical outcomes of these TKIs in key clinical trials, retrospective and real-world studies and discusses the future perspectives of TKIs for aHCC, with an aim to provide up-to-date evidence for decision-making in the treatment of aHCC.

Natural fractures are crucial factors influencing productivity and water invasion in the ultra-deep tight sandstone gas wells of the Keshen gas reservoir in the Kuqa Depression, Tarim Basin. Research on fractures is significant for understanding water invasion patterns and formulating effective water control strategies. This study investigated the development characteristics, distribution patterns, and water invasion characteristics of effective fractures using core samples, thin sections, conventional logging, imaging logging, production data, and well testing, as well as the influence of different fracture networks on water invasion. High-angle and nearly vertical shear fractures are the main fracture types. Vertically, the first member of Bashijiqike Formation (K1bs1) is predo-minantly characterized by completely filled fractures, which are ineffective fractures. Conversely, the second and third members of Bashijiqike Formation (K1bs2 and K1bs3) are mostly characterized by partially filled and unfilled fractures, which are effective fractures. Horizontally, the NNW-SSE striking effective fractures are concentrated in the western part of the gas reservoir and have larger average apertures. The eastern part has relatively deve-loped nearly E-W and NWW-SEE striking effective fractures with smaller average apertures. The more deve-loped and the larger the aperture of the effective fractures, the lower the initial water production from gas wells, with more production of condensate water. From production onset to water breakthrough, formation water is produced in various forms: sealed water, condensate water, movable water and pure formation water. The development stage, aperture and orientation of effective fractures are important factors affecting heterogeneous water invasion. Dense, highly effective fracture networks that are nearly parallel to the orientation of water invasion will accelerate the water invasion speed, resulting in significant water production and severely reducing gas well productivity. Integrating the development characteristics of effective fractures with individual well water invasion dynamics reveals three types of water invasion: rapid channeling along faults or dense fractures, slow coning along sparse fractures and slow uplift and invasion of edge-bottom water.

Abstract Yutu-2 rover conducted an exciting expedition on the 41st lunar day to investigate a fin-shaped rock at Longji site (45.44°S, 177.56°E) by extending its locomotion margin on perilous peaks. The varied locomotion encountered, especially multi-form wheel slippage, during the journey to the target rock, established unique conditions for a fin-grained lunar regolith analysis regarding bearing, shear and lateral properties based on terramechanics. Here, we show a tri-aspect characterization of lunar regolith and infer the rock’s origin using a digital twin. We estimate internal friction angle within 21.5°−42.0° and associated cohesion of 520-3154 Pa in the Chang’E-4 operational site. These findings suggest shear characteristics similar to Apollo 12 mission samples but notably higher cohesion compared to regolith investigated on most nearside lunar missions. We estimate external friction angle in lateral properties to be within 8.3°−16.5°, which fills the gaps of the lateral property estimation of the lunar farside regolith and serves as a foundational parameter for subsequent engineering verifications. Our in-situ spectral investigations of the target rock unveil its composition of iron/magnesium-rich low-calcium pyroxene, linking it to the Zhinyu crater (45.34°S, 176.15°E) ejecta. Our results indicate that the combination of in-situ measurements with robotics technology in planetary exploration reveal the possibility of additional source regions contributing to the local materials at the Chang’E-4 site, implying a more complicated geological history in the vicinity.

The study of cross-border transport connectivity is significant for the development of regional integration and insight into global patterns. Comprehensive connectivity evaluations are lacking and insufficient attention has been paid to Latin American connectivity, so it is of great practical importance to comprehensively and rationally evaluate Latin American connectivity. In this article, based on the four modes of transport, namely, sea, road, air and railroad, and using the actual trade volume as a comparison, a connectivity evaluation index system with considerable reliability and generalization ability was constructed using the expert scoring method, QAP correlation analysis, QAP regression, and statistics, and the connectivity calculations of Latin America were obtained. Analyzing the connectivity structure of Latin America, it was found that cross-border passenger and cargo transport in the region was dominated by sea transport and supplemented by road and air transport, with railroads used the least. The overall connectivity of Latin America was low, and the overall development was unbalanced, with a strong law of spatial differentiation, which was mainly manifested in the strongest connectivity of the integrated coastal countries, followed by the island countries, and the lowest connectivity of the landlocked countries. Different countries assumed different roles in regional connectivity, which could be categorized into global hub type, local hub type and non-hub type based on the calculations. There was a spatial pattern of decreasing connectivity with distance in typical countries, but the rate of decline was closely related to their geographic location and the role they played in the connectivity network. This study can provide reference and inspiration for regional connectivity evaluation, improvement, and sustainable development.

Martian impact craters record the modifications of fluvial, wind, and glacial forces, which are crucial for studying the resurfacing of Martian terrain. To the best of our knowledge, current global catalogs of Martian craters, represented as circles, contribute to dating the age of the planetary surface. However, these recorded circles may not meet the increasing requirements of degradation states assessment, rover navigation, and geomorphological and geological mapping, which rely on the actual boundaries of craters. Additionally, the existing Martian crater catalogs provided a regional degradation state of craters based on time-consuming manual assessment. To overcome these gaps, we proposed a global Martian crater catalog that records craters’ actual boundaries and degradation states. Construction of the catalog involved deep learning and manual inspection to efficiently delineate the actual boundaries. On the basis of these actual boundaries, we calculated 19 attributes, including morphological attributes and degradation states. Specifically, the crater shapes were classified into flat and bowl-shaped types by dividing the slopes of the crater bottoms and the walls. According to the erosion process, the state of degradation was classified into three classes: fresh, partly buried, and subdued. Degradation state was assessed globally using the random forest method and explained by the SHapley Additive exPlanations (SHAP) model. The distribution of partly buried craters indicated the relationship between the degradation state and the valley networks. This catalog could be applied in further research on Martian terrain degradation, valley network erosion, and deep space exploration. Our catalog and the benchmark dataset of degradation state will soon be made publicly available at https://zenodo.org/records/11514787.

Reiner Gamma is a potential target for low-orbiting spacecraft or even surface-landed missions in the near future. Unfortunately, thus far, no comprehensive low-altitude (below 20 km) or surface measurements of the magnetic field, magnetic source and plasma environment have been made post-Apollo to complement and complete our understanding of the solar wind interaction with lunar magnetic anomalies and swirl formation. Acquiring the detailed geological knowledge of the Reiner Gamma region is significant for the above scientific targets. In this study, the following research work in the lunar Reiner Gamma magnetic anomaly region was carried out for the regional geological investigation: (1) topographic and geomorphologic analysis; (2) element, mineral, and sequence analysis; and (3) a 1:10,000 regional geological map analysis. Our work helps define measurement requirements for possible future low-orbiting or surface-landed missions to the Reiner Gamma area or similarly magnetized regions of the lunar surface.

The samples from lunar farside have great significance for the study of the Moon, and even the solar system. Chang’e-6 landed successfully on the southern mare of the Apollo basin and returned ~2 kg of samples from lunar farside. To provide a better understanding for the background of the returned samples, we conducted detailed crater size-frequency distribution (CSFD) measurements in the Chang’e-6 landing region, the southern mare of the Apollo basin. The southern mare is divided into the western mare (W region) and the eastern mare (E region), and then subdivided into five subunits (W1, W2, W3, W4, W5) and three units (E1, E2, E3), respectively, according to the elevation, TiO2, and FeO abundances. Within the W2 and W5 region, more detailed subunits were separated out. The results show that the southern mare surface was active during two epochs, the Imbrian period and the Eratosthenian period. The basalt eruption lasted for ~1.7 Ga, from 3.28 Ga of the eastern mare to 1.54 Ga of the western mare. The W region is younger than the E region, while the three units of the E region have an age of ~3.2 Ga. The ages of the western mare basalts range from 2.98 Ga to 1.54 Ga, lasting for 1.4 Ga. It is worth noting that the age of the basalt at the Chang’e-6 sampling site is ~1.68 Ga, indicating the samples returned may include components with this very young age.

By utilizing the properties of positive definite matrices, mathematical expectations, and positive linear functionals in matrix space, the Kantorovich inequality and Wielandt inequality for positive definite matrices and random variables are obtained. Some novel Kantorovich type inequalities pertaining to matrix ordinary products, Hadamard products, and mathematical expectations of random variables are provided. Furthermore, several interesting unified and generalized forms of the Wielandt inequality for positive definite matrices are also studied. These derived inequalities are then exploited to establish an inequality regarding various correlation coefficients and study some applications in the relative efficiency of parameter estimation of linear statistical models.

The safety of lunar landing sites directly impacts the success of lunar exploration missions. This study develops a data-driven predictive model based on machine learning, focusing on engineering safety to assess the suitability of lunar landing sites and provide insights into key factors and feature representations. Six critical engineering factors were selected as constraints for evaluation: slope, elevation, roughness, hillshade, optical maturity, and rock abundance. The XGBoost model was employed to simulate and predict the characteristics of landing areas and Bayesian optimization was used to fine-tune the model’s key hyperparameters, enhancing its predictive performance. The results demonstrate that this method effectively extracts relevant features from multi-source remote sensing data and quantifies the suitability of landing zones, achieving an accuracy of 96% in identifying landing sites (at a resolution of 0.1° × 0.1°), with AUC values exceeding 95%. Notably, slope was recognized as the most critical factor affecting safety. Compared to assessment processes based on Convolutional Neural Networks (CNNs) and Random Forest (RF) models, XGBoost showed superior performance in handling missing values and evaluating feature importance accuracy. The findings suggest that the BO-XGBoost model shows notable classification performance in evaluating the suitability of lunar landing sites, which may provide valuable support for future landing missions and contribute to optimizing lunar exploration efforts.

Abstract Introduction This article aims to describe malignancies in patients with rheumatoid arthritis (RA), psoriatic arthritis (PsA), ankylosing spondylitis (AS), or non-radiographic axial spondyloarthritis (nr-axSpA) treated with upadacitinib (UPA) or active comparators. Methods This integrated safety analysis includes data from 11 phase 3 UPA trials across RA (6 trials), PsA (2 trials), AS (2 trials; one phase 2b/3), and nr-axSpA (1 trial). Treatment-emergent adverse events (TEAEs) were summarized for RA (pooled UPA 15 mg [UPA15], pooled UPA 30 mg [UPA30], adalimumab 40 mg [ADA], methotrexate monotherapy [MTX]), PsA (pooled UPA15, pooled UPA30, ADA), AS (pooled UPA15), and nr-axSpA (UPA15). TEAEs were reported as exposure-adjusted event rates (events/100 patient-years). Results Median treatment duration ranged from 1.0 to 4.0 years (with a maximum of 6.6 years in RA). Across treatments and indications, rates of malignancy excluding nonmelanoma skin cancer (NMSC) ranged from 0.2 to 1.1, while NMSC ranged from 0.0 to 1.4. In RA, rates of malignancy excluding NMSC were generally similar between UPA15, UPA30, ADA, and MTX (breast and lung cancer were the most common). In RA and PsA, Kaplan–Meier analyses revealed no differences in event onset of malignancy excluding NMSC with UPA15 versus UPA30 over time. In RA, NMSC rates were higher with UPA30 than UPA15; both UPA15 and UPA30 were higher than ADA and MTX. In PsA, rates of malignancy excluding NMSC and NMSC were generally similar between UPA15, UPA30, and ADA. In AS and nr-axSpA, malignancies were reported infrequently. Few events of lymphoma were reported across the clinical programs. Conclusion Rates of malignancy excluding NMSC were generally similar between UPA15, UPA30, ADA, and MTX and were consistent across RA, PsA, AS, and nr-axSpA. A dose-dependent increased rate of NMSC was observed with UPA in RA. Trial Registration ClinicaTrials.gov identifier: NCT02706873, NCT02675426, NCT02629159, NCT02706951, NCT02706847, NCT03086343, NCT03104400, NCT03104374, NCT03178487, and NCT04169373.

The evolution of the Moon is driven by both endogenic (e.g., magmatism) and exogenic processes (e.g., impact). The lunar surface can be divided into 3 first-order tectonic units based on differences in geochemistry, crustal thickness, topography, and distribution of structures. However, the interpreted boundaries demarcated by different features varied widely. As research progresses, the understanding of the lunar structure is continuously improving, and new types of structures are constantly being discovered. The previous structural classification system needs to be updated. According to the major geological events and dynamic evolution, the evolutionary history of the Moon can be divided into 3 stages and 1 pivotal event. The first stage (4.52 to 4.3 Ga) is the evolution of the magmatic ocean, and it was dominated by endogenic processes. The formation of South Pole-Aitken (SPA) basin (~4.3 Ga) is the pivotal event of crustal evolution and indicates that the lunar crust had cooled and consolidated to sufficient rigidity to preserve structures. Both endogenic and exogenic processes were active in the second stage (4.3 to 3.0 Ga), which results in numerous impact basins, mare basalt flooding, and different types of associated structures. The last stage (3.0 Ga to the present) is late neotectonic activity, which has weak modification of the tectonic framework. Response of tectonic framework and structure to lunar major geological events had been organized and discussed in this paper, and key scientific issues are summarized. This study can provide reference and support for implementation of subsequent lunar exploration projects.

Carbonation resistance ability is one of the most important durability-related proprieties of cement-based materials. Through the carbonation depth experiment, isothermal conduction calorimetry, XRD, BET, and water vapor sorption, the effect of calcium nitrite (Ca(NO3)2) on the carbonation properties of cement-based materials is obtained. The result indicates that the addition of Ca(NO3)2 improves the carbonation resistance property of cement-based materials if the hydration of cement pastes and microstructure is modified earlier without affecting the late hydration process. In addition, the refined pores and higher tortuosity cut down the channels, thereby impeding the ingress of carbon dioxide gas into cementitious materials, as confirmed by BET and water vapor sorption. The Ca(NO3)2 exhibits high performance in improving the carbonation resistance and extending the life of strengthened concrete.

Metal fuels have a high potential for applications in space propulsion owing to their superior energy density and distinct combustion characteristics. Therefore, research into the combustion properties of metal fuels in microgravity has become necessary. The principles, applications, benefits, and limitations of experimental methods for microgravity combustion of metal fuels were compared in this review. Drop towers, aircrafts, sounding rockets or microgravity balloons, acoustic or ultrasonic levitation, electrodynamic levitation, space stations, and numerical simulations are common methods used to provide microgravity for combustion research. Among them, the devices providing microgravity environment on the ground has become a good choice for simulating microgravity environment owing to its convenience, reliability and relatively low cost. Further, the physical and chemical properties of common metal fuels, such as aluminum, boron magnesium, and so on, were introduced, and the existing research achievements on the combustion of metal fuels in microgravity are succinctly summarized in this paper. The melting process, ignition temperature, combustion temperature, flame structure, and extinction of metal fuel combustion will be affected by microgravity. Moreover, the necessity and insufficiency of the research are also illustrated. Finally, the existing and potential applications of metal fuels in space propulsion and space weapons are introduced. Metal fuels’ superior energy density and combustion performance can benefit deep-space exploration, particularly Mars exploration, and bring new insights into the design of space weapons. This paper may throw some new light on the study of metal fuel combustion in microgravity.

Hydraulic fracturing is an essential technology in the development of coalbed methane reservoirs. Hydraulic fracturing can create a highly conductive fracture in the reservoir and increase its permeability. At present, the focus of coalbed methane reservoir fracturing optimization is gradually shifting to the fracturing scale. In the current development process, more and more coalbed methane blocks try to increase the fracturing scale to increase the gas production of coalbed methane wells. Field tests show that gas production of coalbed methane wells will increase to a certain extent with the increase of fracturing scale. However, the increase in the scale of fracturing also increases its cost. Therefore, the most economical fracturing scale is not necessarily the optimal fracturing scale for gas production. The field test usually pays more attention to the gas production effect, but the development of a coalbed methane field should pay more attention to the economic benefit, and the optimization of fracturing should take the economic benefit as the goal. Taking economic benefits as the starting point, this paper uses fracturing simulation to calculate the fracture extension under different geological conditions and different fracturing scales. It also uses numerical simulation to calculate the gas well productivity under different fracture extension conditions. The economic evaluation model was established to calculate the economic benefits under different fracturing scales, and the optimal fracturing scale was obtained. Finally, the typical maps of fracturing optimization under different geological conditions are formed. The optimization method of fracturing scale integrating economy, fracturing, and gas reservoir is realized. The research results have been successfully applied to the optimization scheme of Liulin block development, and very good results have been achieved. Because this method is targeted at different geological conditions, it can be used to guide the fracturing optimization of other coalbed methane blocks and has very important significance for the development and optimization of coalbed methane reservoirs.

Impact craters serve as recorders of lunar evolutionary history, and determining the stratigraphic ages of craters is crucial. However, the age of many craters on the Moon remains undetermined. The morphology of craters is closely related to their stratigraphic ages. In the study, we systematically and quantitatively analyzed seven morphological parameters of 432 impact craters with known stratigraphic ages (Copernican, Eratosthenian, Imbrian), including crater depth, wall width, wall height, rim height, irregularity, volume, and roughness, as well as rock abundance. The study provided a range of morphological parameters for craters from the Copernican, Eratosthenian, and Imbrian. Additionally, we derived power law relationships between five morphological parameters and crater diameter, excluding irregularity and roughness. Furthermore, the transitional crater diameters from simple to complex crater morphology were determined for the Copernican and Eratosthenian, approximately 13 km and 15 km, respectively. These results suggest systematic differences in the lunar regolith in different stratigraphic ages. For impact craters of the same diameter, as crater age increases, irregularity tends to be greater, while crater depth, wall width, wall height, rim height, volume, roughness, and rock abundance tend to be smaller. Therefore, in cases where the diameter is determined, the actual values of morphological parameters and rock abundance can be used to constrain the stratigraphic age information of craters of an unknown age.

Tectonic features on the Moon can reflect the state of stress during the formation of the structure, and sinuous rilles can provide further insight into the tectonic-thermal evolution of the Moon. Manual visual interpretation is the primary method for extracting these linear structures due to their complex morphology. However, extracting these features from the vast amount of lunar remote sensing data requires significant time and effort from researchers, especially for small-scale tectonic features, such as wrinkle ridges, lobate scarps, and high-relief ridges. In order to enhance the efficiency of linear structure detection, this paper conducts research on the automatic detection method of linear structures using sinuous rilles as an example case. In this paper, a multimodal semantic segmentation method, “Sinuous Rille Network (SR-Net)”, for detecting sinuous rilles is proposed based on DeepLabv3+. This method combines advanced techniques such as ECA-ResNet and dynamic feature fusion. Compared to other networks, such as PSPNet, ResUNet, and DeepLabv3+, SR-Net demonstrates superior precision (95.20%) and recall (92.18%) on the multimodal sinuous rille test set. The trained SR-Net was applied in detecting lunar sinuous rilles within the range of 60°S to 60°N latitude. A new catalogue of sinuous rilles was generated based on the results of the detection process. The methodology proposed in this paper is not confined to the detection of sinuous rilles; with further improvements, it can be extended to the detection of other linear structures.

Myanmar is among the regions with the most frequent activities of International Non-Government Organizations (INGOs). Analyzing the spatio-temporal patterns of these activities holds crucial importance for optimizing organizational coordination and enhancing governmental oversight. This study focuses on the spatio-temporal evolution characteristics and influencing factors of INGO activities in Myanmar from 2010 to 2021, utilizing spatial autocorrelation and regression analysis. The results show that the number of INGOs in Myanmar has shown a gradual slowdown in growth trends, with the number of activities exhibiting a wave-like pattern, primarily driven by spontaneous activities of INGOs. The spatial distribution of INGO activities in Myanmar is concentrated in the southern plains, with the core located in Yangon, Naypyitaw, and Loilen. Furthermore, there is significant spatial polarization in the hotspot area of INGO acticities. The hotspots followed an evolutionary path from “South Myanmar” to “North Myanmar” and then back to “South Myanmar”. INGO activities in Myanmar are more focused on the local economic level, urbanization level, medical level, education level, and total population size, providing the necessary support and services for the local society and making up for the “government malfunction” and “market malfunction”.

Magnetite is rarely present on the Moon. Here the authors report the magnetite formed by eutectic reaction during the impact process in Chang’E-5 lunar soil, and the potential contribution of this magnetite formation to magnetic anomalies on the Moon.

Sediments on the northern plains of Mars experienced aqueous alteration during interaction with a limited or ephemeral water source, according to spectral analyses of Martian rocks and soils encountered by the Zhurong rover.

Abstract Introduction Efficacy and safety of the Janus kinase (JAK) inhibitor upadacitinib (UPA) was evaluated in patients with psoriatic arthritis (PsA) through week 104 of the ongoing long-term extension of the phase 3 trial SELECT-PsA 1. Methods Exploratory analyses of all primary and secondary endpoints (non-responder imputation and as observed for binary endpoints; mixed-effect model repeated measures and as observed for continuous endpoints), and summary of treatment-emergent adverse events, in patients receiving UPA 15 mg (UPA15) or 30 mg (UPA30) once daily, or adalimumab 40 mg (ADA) every other week, through week 104 are reported. Results Of 1704 patients, 25.4% discontinued the study drug by week 104. Proportions of patients achieving ≥ 20%/50%/70% improvement in American College of Rheumatology criteria (ACR20/50/70), ≥ 75%/90%/100% improvement in Psoriasis Area and Severity Index (PASI75/90/100), or minimal disease activity (MDA) were maintained through week 104; greater responses by nominal P value were observed with UPA15 and UPA30 versus ADA for ACR20/50/70 and MDA. Mean change from baseline in modified total Sharp/van der Heijde Score (mTSS) was similar across groups and to week 56 results. The safety profile of UPA was generally comparable to ADA and not altered from week 56 data. Rates of serious infection, herpes zoster, anemia, neutropenia, lymphopenia, and elevated creatine phosphokinase remained numerically higher with UPA15 and/or UPA30 versus ADA. Rates of malignancies excluding non-melanoma skin cancer (NMSC), major adverse cardiovascular events, and venous thromboembolism were similar across groups; rates of NMSC were higher with UPA versus ADA. Two deaths were reported with UPA15, one with UPA30, and one with ADA. Conclusions In PsA patients, efficacy responses were similar or greater with UPA15 or UPA30 versus ADA through week 104, and inhibition of radiographic progression was maintained. No new safety risks were identified with exposure to UPA through 2 years (week 104). Clinical Trial Registration ClinicalTrials.gov, NCT03104400.

Lunar soils returned by China’s Chang’E−5 (CE5) mission record the unique information of solar wind essential to understanding the preservation and distribution of lunar surficial water. Here the authors report abundant water formed by solar wind implantation in minerals of CE5 lunar soils; the water content in CE5 lunar soils is estimated to be ~ 170 ppm.

IntroductionPoverty eradication is one of the global challenges, and rural cooperatives provide an effective path to address smallholder households’ poverty. However, the effect of poverty reduction can show heterogeneity depending on the economic capital, human capital, and social capital of households.MethodsBased on comprehensive research data on the poverty status of 1,622 smallholder households in four provinces in the less developed regions of western China, using OLS and PSM models, this paper empirically analyzes the impact and heterogeneous characteristics of rural cooperatives on the poverty vulnerability of smallholder households.Results/DiscussionThe results show that rural cooperatives have a significant dampening effect on the poverty vulnerability of smallholder farmers, and the findings hold true after robustness tests using multiple methods. The impact of rural cooperatives on the poverty vulnerability of farming households differed significantly across smallholder households with different characteristics. Specifically, participation in cooperatives had a more pronounced effect on reducing poverty vulnerability among non-poor, higher human capital and higher income farm households compared to poor, lower human capital and lower income farm households. The results of the study can provide a useful reference for policy-making on rural mutual assistance and poverty reduction among farmers.

Orthogonal matching pursuit (OMP) algorithm is a classical greedy algorithm widely used in compressed sensing. In this paper, by exploiting the Wielandt inequality and some properties of orthogonal projection matrix, we obtained a new number of iterations required for the OMP algorithm to perform exact recovery of sparse signals, which improves significantly upon the latest results as we know.

To overcome the limitations of long-term prediction of PM2.5 concentration, a multi-factor information flow causality analysis method is used to screen suitable meteorological and air pollutant-related factors and concatenate them with a PM2.5 sequence as the dataset. A modal decomposition algorithm is used as a module to be integrated into the autoformer (transformer improved with autocorrelation mechanism) model to improve it, and the modal autoformer (empirical modal decomposition combined with autoformer) is proposed. The constructed model decomposes the sequence into several components by using the modal decomposition module and uses the self-correlation mechanism and decomposition structure to decompose and extract features of different components at the time-feature level. Based on the matching method, the model is adjusted for different component features to improve the long-term prediction effect. The model is applied to three cities in Henan Province, Zhengzhou, Luoyang, and Zhumadian, as examples for experiments, and gated neural unit (GRU), informer, autoformer, and modal GRU (empirical modal decomposition combined with GRU model) are constructed for comparative verification. The results show that the modal autoformer can better cope with the complex characteristics of long-term prediction of the PM2.5 time series, has strong spatial adaptability and that its various indicators are optimal for the three cities, with R2 values being all above 0.96, where the highest is 0.987 in Zhengzhou; MAPE (Mean absolute percentage error) values all being less than 10, where the best is 7.602 in Zhumadian; and MAE (Mean absolute error) values all being less than 4. The prediction effect is stable enough, showing its feasibility and adaptability in long-term prediction.

Background: Treatment options for adolescents with moderate-to-severe atopic dermatitis (AD) are limited. Oral corticosteroid therapies are used to treat children and adolescents with moderate-to-severe AD; however, long-term use is not recommended because of potential growth impairment. Upadacitinib, an oral Janus kinase inhibitor, is approved to treat moderate-to-severe AD in the United States, Japan, and Europe. To investigate potential effects of upadacitinib on growth, we analyzed height and height velocity in 6 adolescent patients in the phase 3 Rising Up study who were in the decline phase of pubertal growth at the time of study entry. Methods: The randomized, double-blind, Rising Up (NCT03661138) study compared upadacitinib plus topical corticosteroids (TCS) to placebo plus TCS in adolescents and adults with moderate-to-severe AD in Japan. Eligible adolescents (aged 12–17 years) were randomized 1:1:1 to receive once-daily upadacitinib 15 mg, upadacitinib 30 mg, or placebo in combination with TCS for 16 weeks. After 16 weeks, patients randomized to receive placebo were rerandomized 1:1 to receive upadacitinib 15 mg or upadacitinib 30 mg. Historical height measurements were obtained when available. Individual growth and growth velocity curves were compared with standard curves for Japanese youths. This non-prespecified analysis used 52-week data. Results: Of the 29 adolescents enrolled, 6 were in the decline phase of pubertal growth at enrollment. Growth curves and growth velocity curves for these 6 patients remained within the normal range for Japanese adolescents throughout the study. Biomarkers of bone metabolism generally remained stable over the course of the study. No musculoskeletal adverse events were reported. Conclusions: No cases suggested that upadacitinib negatively affected adolescent growth. Ongoing studies will continue to assess height and adverse effects related to bone growth to further inform on this patient group. Trial registration: ClinicalTrials.gov Identifier NCT03661138.

Detecting impact craters on the Martian surface is a critical component of studying Martian geomorphology and planetary evolution. Accurately determining impact crater boundaries, which are distinguishable geomorphic units, is important work in geological and geomorphological mapping. The Martian topography is more complex than that of the Moon, making the accurate detection of impact crater boundaries challenging. Currently, most techniques concentrate on replacing impact craters with circles or points. Accurate boundaries are more challenging to identify than simple circles. Therefore, a boundary delineator for Martian crater instances (BDMCI) using fusion data is proposed. First, the optical image, digital elevation model (DEM), and slope of elevation difference after filling the DEM (called slope of EL_Diff to highlight the boundaries of craters) were used in combination. Second, a benchmark dataset with annotations for accurate impact crater boundaries was created, and sample regions were chosen using prior geospatial knowledge and an optimization strategy for the proposed BDMCI framework. Third, the multiple models were fused to train at various scales using deep learning. To repair patch junction fractures, several postprocessing methods were devised. The proposed BDMCI framework was also used to expand the catalog of Martian impact craters between 65°S and 65°N. This study provides a reference for identifying terrain features and demonstrates the potential of deep learning algorithms in planetary science research.