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The solar panel of non-geostationary GNSS spacecrafts may not always be perpendicular to the Sun irradiation direction due to attitude errors and mounting misalignment, which affects the modeling of solar radiation pressure (SRP). This study presents the effects of commanded pitch-attitude biases for solar panels on SRP and orbit solutions. From the collected telemetry information, the solar panel B (SP-B) of BeiDou-3 M215 satellite underwent pitch-maneuvers around the body-fixed Y-axis on days of year 65–67 of 2024, and was then kept perpendicular to the body-fixed X-axis (pitch-fixed mode). SRP biases due to the SP-B pitch-maneuvers exhibit remarkable discontinuities in the D (satellite-Sun) direction that cannot be accounted by traditional ECOM1 and ECOM2 SRP models. This is devastating for M215 precise orbit solutions. When combining the ECOM1 and box-wing model (ECOM1 + BW) with telemetry SP-B orientation information, the three-dimensional orbit consistency reaches 10.7 cm, with improvements of about 95.9% and 96.0% relative to the ECOM1 and ECOM2 solutions. SLR (Satellite laser ranging) residual mean and standard derivations decrease from 0.815 ± 0.399 m and 1.219 ± 0.670 m to - 0.078 ± 0.018 m for ECOM1 and ECOM2 solutions, respectively. For SP-B orientation in pitch-fixed mode, the derived SRP has a twice-per-revolution signal in D similar to that of satellite body, but with opposite harmonic phases and amplitudes greater by a factor of 2–4. SRP perturbation induced by SP-B largely neutralizes the satellite body contribution, thus dominating and changing the total SRP harmonic phases in D. This feature change results in opposing Sun-elongation-angle-dependent systematic patterns of de-trended clocks obtained with ECOM1 model for SP-B in nominal and pitch-fixed orientations, which is not seen in the solutions using ECOM1 + BW model and ECOM2 model. As evidenced by reduced orbit overlap differences, SLR residuals and de-trended clock residuals, and more stable SRP parameter estimates, the ECOM1 + BW model clearly outperforms the ECOM1 and ECOM2 models for SP-B orientation in pitch-fixed mode. [ABSTRACT FROM AUTHOR]

The solar panel of non-geostationary GNSS spacecrafts may not always be perpendicular to the Sun irradiation direction due to attitude errors and mounting misalignment, which affects the modeling of solar radiation pressure (SRP). This study presents the effects of commanded pitch-attitude biases for solar panels on SRP and orbit solutions. From the collected telemetry information, the solar panel B (SP-B) of BeiDou-3 M215 satellite underwent pitch-maneuvers around the body-fixed Y-axis on days of year 65–67 of 2024, and was then kept perpendicular to the body-fixed X-axis (pitch-fixed mode). SRP biases due to the SP-B pitch-maneuvers exhibit remarkable discontinuities in the D (satellite-Sun) direction that cannot be accounted by traditional ECOM1 and ECOM2 SRP models. This is devastating for M215 precise orbit solutions. When combining the ECOM1 and box-wing model (ECOM1 + BW) with telemetry SP-B orientation information, the three-dimensional orbit consistency reaches 10.7 cm, with improvements of about 95.9% and 96.0% relative to the ECOM1 and ECOM2 solutions. SLR (Satellite laser ranging) residual mean and standard derivations decrease from 0.815 ± 0.399 m and 1.219 ± 0.670 m to - 0.078 ± 0.018 m for ECOM1 and ECOM2 solutions, respectively. For SP-B orientation in pitch-fixed mode, the derived SRP has a twice-per-revolution signal in D similar to that of satellite body, but with opposite harmonic phases and amplitudes greater by a factor of 2–4. SRP perturbation induced by SP-B largely neutralizes the satellite body contribution, thus dominating and changing the total SRP harmonic phases in D. This feature change results in opposing Sun-elongation-angle-dependent systematic patterns of de-trended clocks obtained with ECOM1 model for SP-B in nominal and pitch-fixed orientations, which is not seen in the solutions using ECOM1 + BW model and ECOM2 model. As evidenced by reduced orbit overlap differences, SLR residuals and de-trended clock residuals, and more stable SRP parameter estimates, the ECOM1 + BW model clearly outperforms the ECOM1 and ECOM2 models for SP-B orientation in pitch-fixed mode. [ABSTRACT FROM AUTHOR]

Maize residue retention is an effective agricultural practice for improving soil fertility in black soil region, where suffered from long freezing-thawing periods and intense freeze-thawing (FT) cycles. However, very few studies have examined the influence of maize residue retention on soil microbial communities under FT cycles. We investigated the response of soil microbial communities and co-occurrence networks to maize residue retention at different FT intensities over 12 cycles using a microcosm experiment conditioned in a temperature incubator. Our results indicated that maize residue retention induced dramatic shifts in soil archaeal, bacterial and fungal communities towards copiotroph-dominated communities. Maize residue retention consistently reduced soil fungal richness across all cycles, but this effect was weaker for archaea and bacteria. Normalized stochastic ratio analysis revealed that maize residue retention significantly enhanced the deterministic process of archaeal, bacterial and fungal communities. Although FT intensity significantly impacted soil respiration, it did not induce profound changes in soil microbial diversity and community composition. Co-occurrence network analysis revealed that maize residue retention simplified prokaryotic network, while did not impact fungal network complexity. The network robustness index suggested that maize residue retention enhanced the fungal network stability, but reduced prokaryotic network stability. Moreover, the fungal network in severe FT treatment harbored the most abundant keystone taxa, mainly being cold-adapted fungi. By identifying modules in networks, we observed that prokaryotic Module #1 and fungal Module #3 were enhanced by maize residue retention and contributed greatly to soil quality. Together, our results showed that maize residue retention exerted stronger influence on soil microbial communities and co-occurrence network patterns than FT intensity and highlighted the potential of microbial interactions in improving soil functionality. [ABSTRACT FROM AUTHOR]

With the support of inter-satellite link technology, GNSS can theoretically achieve the distributed autonomous orbit determination (AOD) function. Traditional AOD operation generally utilizes the forecast ephemeris uploaded by operational control segment (OCS) as the filter reference orbits or to constrain the orbit systematic errors, especially for constellation overall rotation effects in Earth-centered inertial (ECI) coordinate system. To get rid of the dependency on forecast trajectories for saving the OCS workload and also reduce the onboard storage and computation burden, we use a sequential extended Kalman filter to estimate the orbit parameters and consider main perturbation forces acting on satellites in the AOD solution. In particular, for modeling solar radiation pressure (SRP), an empirical prediction function derived by historical SRP estimates is introduced. Using the proposed scheme, the orbit 3D accuracy and user range error (URE) of the first 180-day distributed AOD solution for BeiDou-3 MEOs with precise Earth rotation parameters (ERPs) can reach about 2.10 and 0.43 m, respectively. The constellation rotation errors implied in AOD orbits around the X-, Y- and Z-axis of ECI system are less than 15.0, 11.7 and 15.2 mas, respectively. For real-world AOD scenarios, precise ERP is not available for satellites. With the 180-day prediction ERP, the orbit 3D errors and URE due to the gradually increased UT1-UTC error can be elevated to 14.62 and 2.91 m during our AOD experiments. Result analysis shows if OCS can upload latest prediction ERP at a frequency of once a week, the 180-day distributed AOD is expected to consistently produce real-time orbits preferable to broadcast ephemeris derived by the traditional region L-band tracking network. [ABSTRACT FROM AUTHOR]

Due to a unique imaging mechanism, Synthetic Aperture Radar (SAR) images typically exhibit degradation phenomena. To enhance image quality and support real-time on-board processing capabilities, we propose a lightweight deep generative network framework, namely, the Lightweight Super-Resolution Generative Adversarial Network (LSRGAN). This method introduces Depthwise Separable Convolution (DSConv) in residual blocks to compress the original Generative Adversarial Network (GAN) and uses the SeLU activation function to construct a lightweight residual module (LRM) suitable for SAR image characteristics. Furthermore, we combine the LRM with an optimized Coordinated Attention (CA) module, enhancing the lightweight network's capability to learn feature representations. Experimental results on spaceborne SAR images demonstrate that compared to other deep generative networks focused on SAR image super-resolution reconstruction, LSRGAN achieves compression ratios of 74.68 % in model storage requirements and 55.93 % in computational resource demands. In this work, we significantly reduce the model complexity, improve the quality of spaceborne SAR images, and validate the effectiveness of the SAR image super-resolution algorithm as well as the feasibility of real-time on-board processing technology. [ABSTRACT FROM AUTHOR]

An intellectual property demonstration city (IPDC) not only promotes innovation, but also brings many unexpected gains, the most prominent of which is carbon reduction. Unfortunately, few scholars have included IPDC and carbon emissions in a unified research framework, ignoring the role of intellectual property protection in environmental governance. Therefore, this paper investigates the impact of IPDC on carbon emissions through a multi-period difference-in-difference (DID) model, a spatial DID model, and a mediating effect model with IPDC policy as a quasi-natural experiment. The research results are as follows: (1) IPDC policy has a significant inhibitory effect on carbon emissions. Compared to non-pilot cities, IPDC policy can reduce carbon emissions by about 20.6%. (2) There are temporal and regional heterogeneity of the IPDC policy on carbon emissions. More specifically, the carbon reduction effect of IPDC is more effective in large cities and cities with richer human capital, stricter environmental regulation, and higher financial development. Meanwhile, the policy effects in 2012 and 2015 are larger than those in 2018, while the policy effects in 2014, 2016, and 2019 are not significant. (3) IPDC policy reduces carbon emissions mainly by stimulating innovation and green innovation, and promoting R&D element agglomeration. (4) IPDC policy has obvious spatial spillover effects and leads to the surrounding cities becoming pollution havens. The above conclusions have implications for designing a better urbanization model to promote innovative development and reduce carbon emissions. [ABSTRACT FROM AUTHOR]

Background: Previous studies have shown inconsistent findings regarding the association of light to moderate alcohol consumption with cause-specific mortality. Therefore, this study sought to examine the prospective association of alcohol consumption with all-cause and cause-specific mortality in the US population. Methods: This was a population-based cohort study of adults aged 18 years or older in the National Health Interview Survey (1997 to 2014) with linkage to the National Death Index records through December 31, 2019. Self-reported alcohol consumption was categorized into seven groups (lifetime abstainers; former infrequent or regular drinkers; and current infrequent, light, moderate, or heavy drinkers). The main outcome was all-cause and cause-specific mortality. Results: During an average follow-up of 12.65 years, among the 918,529 participants (mean age 46.1 years; 48.0% male), 141,512 adults died from all causes, 43,979 from cardiovascular disease (CVD), 33,222 from cancer, 8246 from chronic lower respiratory tract diseases, 5572 from accidents (unintentional injuries), 4776 from Alzheimer's disease, 4845 from diabetes mellitus, 2815 from influenza and pneumonia, and 2692 from nephritis, nephrotic syndrome, or nephrosis. Compared with lifetime abstainers, current infrequent, light, or moderate drinkers were at a lower risk of mortality from all causes [infrequent—hazard ratio: 0.87; 95% confidence interval: 0.84 to 0.90; light: 0.77; 0.75 to 0.79; moderate 0.82; 0.80 to 0.85], CVD, chronic lower respiratory tract diseases, Alzheimer's disease, and influenza and pneumonia. Also, light or moderate drinkers were associated with lower risk of mortality from diabetes mellitus and nephritis, nephrotic syndrome, or nephrosis. In contrast, heavy drinkers had a significantly higher risk of mortality from all causes, cancer, and accidents (unintentional injuries). Furthermore, binge drinking ≥ 1 day/week was associated with a higher risk of mortality from all causes (1.15; 1.09 to 1.22), cancer (1.22; 1.10 to 1.35), and accidents (unintentional injuries) (1.39; 1.11 to 1.74). Conclusions: Infrequent, light, and moderate alcohol consumption were inversely associated with mortality from all causes, CVD, chronic lower respiratory tract diseases, Alzheimer's disease, and influenza and pneumonia. Light or moderate alcohol consumption might also have a beneficial effect on mortality from diabetes mellitus and nephritis, nephrotic syndrome, or nephrosis. However, heavy or binge had a higher risk of all-cause, cancer, and accidents (unintentional injuries) mortality. [ABSTRACT FROM AUTHOR]

Summary: The ongoing nitrogen (N) deposition has led to profound changes in aboveground and belowground ecosystems. However, the stability of plant and soil microbial community toward N addition in terms of resistance and resilience is less understood.We established a long‐running field trial (2008–2018) in a series of N applications in combination with a mowing and fencing (unmown) treatment in a semiarid steppe. We assessed the resistance via ongoing N treatment of one subplot and the resilience via discontinuing N treatment in another to promote natural recovery since 2014.Plant resistance was negatively correlated with N application rate, while microbial resistance was independent of N rate. Mowing significantly reduced plant resistance and resilience, reduced soil microbial resistance but improved its resilience. Generally, plants are more resilient but less resistant to N than soil microbes. The two sides of resistance–resilience relationship were revealed: trade‐offs exist between resistance and resilience for both plants and microbes at the community level; and trade‐offs between resistance and resilience cannot be scaled down to species/group level.This study provided an important theoretical basis for the recovery and conservation of semiarid steppe and new insight into resistance–resilience relationship. [ABSTRACT FROM AUTHOR]

Leadership style has become an important construct in the research literature on alleviating burnout among elementary and secondary school teachers. The purpose of this study was to examine the effects of spiritual leadership, career calling, and emotional intelligence on teacher burnout. Purposive sampling was utilized in this study to obtain data from 380 elementary and secondary school teachers in Heze City, Shandong Province, China. SmartPLS software was used to establish a partial least squares structural equation model to verify the research hypothesis. The results indicated that there was a significant negative direct relationship between spiritual leadership, career calling, emotional intelligence, and teacher burnout. There was a direct and significant positive relationship between spiritual leadership on career calling and emotional intelligence. In addition, spiritual leadership influenced teacher burnout through two mediating variables: career calling and emotional intelligence. The results broadened the understanding of the intrinsic relationship between spiritual leadership and teacher burnout and explained the mediating role of career calling and emotional intelligence in spiritual leadership and teacher burnout. Based on the findings, elementary and secondary school leaders should practice spiritual leadership styles to stimulate teachers' career calling and emotional intelligence in order to reduce teacher burnout. [ABSTRACT FROM AUTHOR]

Background: Previous studies have shown inconsistent findings regarding the association of light to moderate alcohol consumption with cause-specific mortality. Therefore, this study sought to examine the prospective association of alcohol consumption with all-cause and cause-specific mortality in the US population. Methods: This was a population-based cohort study of adults aged 18 years or older in the National Health Interview Survey (1997 to 2014) with linkage to the National Death Index records through December 31, 2019. Self-reported alcohol consumption was categorized into seven groups (lifetime abstainers; former infrequent or regular drinkers; and current infrequent, light, moderate, or heavy drinkers). The main outcome was all-cause and cause-specific mortality. Results: During an average follow-up of 12.65 years, among the 918,529 participants (mean age 46.1 years; 48.0% male), 141,512 adults died from all causes, 43,979 from cardiovascular disease (CVD), 33,222 from cancer, 8246 from chronic lower respiratory tract diseases, 5572 from accidents (unintentional injuries), 4776 from Alzheimer's disease, 4845 from diabetes mellitus, 2815 from influenza and pneumonia, and 2692 from nephritis, nephrotic syndrome, or nephrosis. Compared with lifetime abstainers, current infrequent, light, or moderate drinkers were at a lower risk of mortality from all causes [infrequent—hazard ratio: 0.87; 95% confidence interval: 0.84 to 0.90; light: 0.77; 0.75 to 0.79; moderate 0.82; 0.80 to 0.85], CVD, chronic lower respiratory tract diseases, Alzheimer's disease, and influenza and pneumonia. Also, light or moderate drinkers were associated with lower risk of mortality from diabetes mellitus and nephritis, nephrotic syndrome, or nephrosis. In contrast, heavy drinkers had a significantly higher risk of mortality from all causes, cancer, and accidents (unintentional injuries). Furthermore, binge drinking ≥ 1 day/week was associated with a higher risk of mortality from all causes (1.15; 1.09 to 1.22), cancer (1.22; 1.10 to 1.35), and accidents (unintentional injuries) (1.39; 1.11 to 1.74). Conclusions: Infrequent, light, and moderate alcohol consumption were inversely associated with mortality from all causes, CVD, chronic lower respiratory tract diseases, Alzheimer's disease, and influenza and pneumonia. Light or moderate alcohol consumption might also have a beneficial effect on mortality from diabetes mellitus and nephritis, nephrotic syndrome, or nephrosis. However, heavy or binge had a higher risk of all-cause, cancer, and accidents (unintentional injuries) mortality. [ABSTRACT FROM AUTHOR]

Background: Studies of glymphatic dysfunction in Parkinson's disease (PD) patients have attracted much attention in recent years. However, the relationships between glymphatic dysfunction and clinical symptoms remains unclear. Objectives: To determine whether the diffusion tensor image analysis along the perivascular space (DTI-ALPS) affect the severity and types of motor and non-motor symptoms in PD patients. Methods: De novo PD patients and controls who performed both DTI and 123I-DaTscan single photon emission computed tomography (SPECT) scanning were retrieved from the international multicenter Parkinson's Progression Marker Initiative (PPMI) cohort. Glymphatic system was evaluated by the DTI-ALPS. Motor symptoms were assessed by Movement Disorders Society Unified Parkinson's Disease Rating Scale III (MDS-UPDRS-III). The influence of glymphatic activity on motor and non-motor symptoms was explored by multivariate linear regression models. Results: A total of 153 PD patients (mean age 60.97 ± 9.47 years; 99 male) and 67 normal controls (mean age 60.10 ± 10.562 years; 43 male) were included. The DTI-ALPS index of PD patients was significantly lower than normal controls (Z = − 2.160, p = 0.031). MDS-UPDRS III score (r = − 0.213, p = 0.008) and subscore for rigidity (r = − 0.177, p = 0.029) were negatively correlated with DTI-ALPS index. The DTI-ALPS index was significantly associated with MDS-UPDRS-III score (β = − 0.160, p = 0.048) and subscore for rigidity (β = − 0.170, p = 0.041) after adjusting for putamen dopamine transporter availability and clinical factors. Conclusions: Our results showed distinct relationships between glymphatic dysfunction and the severity and types of PD motor symptoms, suggesting the potential of DTI-ALPS index as a biomarker for PD motor symptoms. [ABSTRACT FROM AUTHOR]

As a sustainable urban design, innovative city pilots offer a way for developing countries to achieve carbon reduction goals. To date, a total of 78 innovative cities have been established in China. In this context, this study examines whether innovative city construction can contribute to meet carbon mitigation targets. On the basis of expounding the mechanism of innovative city pilots on carbon emissions, the multiperiod difference in differences method is applied to investigate the average treatment effect and the mediating effect model is used to validate the transmission mechanism. The results show that innovative city pilots significantly reduce carbon emissions. Compared to nonpilot areas, the pilot areas reduce carbon emissions by 15%. Specifically, technological innovation is the primary channels for innovative city pilots to influence carbon emissions but industrial structure effect does not work. Furthermore, the superimposed effect analysis indicates that the carbon reduction effect of the city as both innovative city pilot and other pilot (low‐carbon pilot, broadband China pilot, intellectual property pilot) is greater than that of a single pilot. Results of heterogeneity analysis indicate that carbon mitigation efforts are more effective in central and western cities, nonmega cities, resource‐based cities and cities with high human capital and financial development. In addition, the pilot policy has a positive spatial spillover effects on carbon reduction in cities with geographical proximity and economic ties. These results can contribute to precisely assess the environment benefits of promoting innovative city pilot projects and provide a decision making reference for fighting climate change in the era of knowledge economy. [ABSTRACT FROM AUTHOR]

By virtue of taking values in a commutative subalgebra Z n of Lie algebra gl (n , ℂ) , we construct the Z n -Heisenberg ferromagnet model which contains many Heisenberg ferromagnet-type equations. Moreover, we investigate the integrable properties of the Z n -Heisenberg ferromagnet model. In terms of the gauge transformation, the gauge equivalent counterpart of the Z n -Heisenberg ferromagnet model has been presented. Based on the differential geometry of curves and surfaces, the corresponding geometrical equivalence between the Z n -Heisenberg ferromagnet model and Z n -nonlinear Schrödinger equation has also been established. Furthermore, we also discuss the Z n -generalized inhomogeneous Heisenberg ferromagnet model. [ABSTRACT FROM AUTHOR]

Key Clinical Message Residual periosteum developed periosteal bone formation in the pocket 10 years after cranioplasty, lumpectomy was conducted on the left lower abdomen under local anesthesia. Pathological sections revealed abundant osteocytes and mature bone matrix, and confirmed the bone formation on the residual periosteum. [ABSTRACT FROM AUTHOR]

High-definition maps (HDM) for autonomous driving (AD) are an important component of AD systems. HDMs accurately provide a priori information, including lane lines, and road signs, for AD systems. It is an important task to make a reasonable accuracy assessment of the HDM. The current methods for relative accuracy evaluation of general maps in the field of mapping are not fully applicable to HDMs. In this study, a method based on point set alignment and resampling is used to evaluate the relative accuracy of lane lines, and experiments are conducted based on relevant real HDM data. The results show that the relative accuracy of the lane lines is more detailed and relevant than the traditional method. This has implications for the quality control of HDM production. [ABSTRACT FROM AUTHOR]

The yaw mode history of BDS-2 IGSO/MEOs since 2016 is inferred from reverse kinematic precise point positioning. Experimental results show that C06 (IGSO-1) and C14 (MEO-6) satellites have abandoned the orbit-normal (ON) attitude mode in favor of continuous yaw-steering (CYS) mode since March and September 2017, respectively. BDS C13 (IGSO-6), launched in March 2016, and C16 (IGSO-7) always adopt the CYS mode during eclipse seasons. The majority of BDS-2 IGSO/MEOs still experience attitude switches between nominal and ON mode. Most of the attitude switches from nominal to ON mode take place when the sun elevation angle above the orbital plane (β angle) decreases below 4° (β < 4 ∘) . A few switches also occur for β slightly above 4°. However, most of the attitude switches from ON to nominal mode are undertaken when β increases to above 4°, but a few switches with β just below 4° happen. The exact switch condition between the two attitude modes is presented in this study. For BDS-2 IGSO/MEOs using the CYS mode, the yaw-attitude model previously established by the Wuhan University (indicated by WHU model) can basically reproduce their yaw maneuvers. However, reverse midnight-turn maneuvers occasionally occur for C13 and C14 for β angles falling into the range (0 ∘ , 0. 14 ∘) . This discrepancy in the form of a reversal in the yaw direction during the noon-turn maneuvers is first observed for C13 and C14 when the β angle is in the range of (- 0. 14 ∘ , 0 ∘) . The mismodeling of the satellites attitudes during reverse yaw maneuvers significantly degrades the performance of BDS precise orbit determination (POD). The phase observation residuals extracted from BDS POD reach 40 cm, which thereby leads to the misidentification of a substantial number of observations around orbital midnight and noon points as outliers when the WHU model is applied in our experiments. The WHU model is modified to reproduce the reverse yaw maneuvers of satellites in the post-processing BDS POD. The derived phase residuals decrease to normal levels, and the clock solutions become smoother relative to solutions employing the WHU model. [ABSTRACT FROM AUTHOR]