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Spectral analysis of the transport process of turbulence kinetic energy (TKE) in a channel roughened with spanwise-aligned circular-arc ribs is conducted based on direct numerical simulations (DNS). Test cases of varying pitch-to-height ratios ($P/H=3.0$, 5.0 and 7.5) and bulk Reynolds numbers (${\textit{Re}}_b=5600$ and 14 600) are compared. It is observed that the characteristic spanwise wavelength of the energy-containing eddies in the internal shear layer (ISL) increases as the value of $P/H$ increases, but decreases as the Reynolds number increases. In the ISL, the energy transport processes are dominated by turbulent production as the lead source term, but by turbulent diffusion and dissipation as the lead sink terms. It is found that regions with high production and dissipation rates of TKE in the ISL are associated with moderate and small wavelengths, respectively. The TKE production for sustaining moderate- and large-scale motions enhances gradually with an increasing value of $P/H$, while that for sustaining small-scale motions augments as the Reynolds number increases. It is interesting to observe that the interscale-transport term plays a critical role in draining TKE at moderate wavelengths as a sink and carries the drained TKE to small-scale eddies as a source. It is discovered that a higher pitch-to-height ratio leads to shortening of the characteristic spanwise wavelength of the dissipation process but prolongation of those of the production, interscale-transport and turbulent-diffusion processes in the ISL. By contrast, a higher Reynolds number results in reductions in the characteristic spanwise wavelengths of all spectral transport terms.
Alterations in hypothalamic–pituitary–adrenal axis function may underlie the relation between childhood maltreatment and nonsuicidal self-injury (NSSI) behaviors. This study examined how co-occurring patterns of maltreatment types influenced adolescent NSSI behaviors and the mediating role of diurnal cortisol, using a longitudinal design. The sample included 295 Chinese adolescents (Mage = 10.79 years, SD = 0.84 years; 67.1% boys). The study employed latent profile analysis to identify childhood maltreatment patterns and conducted path analysis to examine the mediating mechanism. Four maltreatment patterns were identified: Low Maltreatment (67.8%), High Neglect (15.6%), Moderate Maltreatment (10.2%), and High Abuse with Moderate Neglect (6.4%). Furthermore, compared to the Low Maltreatment profile, adolescents in the High Neglect profile were at increased risk for later NSSI behaviors through higher waking cortisol levels, while those in the High Abuse with Moderate Neglect profile were at increased risk through a steeper diurnal slope. Disturbances in diurnal cortisol rhythm serve as a pathway through which childhood maltreatment “gets under the skin” to lead to adolescent NSSI behaviors. These findings offer promise for identifying maltreated youth at risk for NSSI behaviors and informing targeted prevention strategies.
Previous studies have primarily advocated enhancing the deterrent effects of sanctions against offending firms to prevent organizational environmental violations. However, despite stricter regulatory environments, violations that cross the ‘red line’ remain pervasive. Limited research has delved into the factors that influence an organization’s ability to learn from environmental sanctions imposed on others. To address this gap, inspired by social learning theory, we examine whether environmental sanctions imposed on violating firms deter environmental governance among their industry and regional peers using a sample of Chinese-listed firms from 2008 to 2021. Our findings indicate that increasing the frequency and severity of penalties for offending firms – particularly those leading firms and state-owned-enterprises or those with close ties – can affect the environmental governance practices of their peers, both in terms of process and outcome, underscoring the critical role of peer influence in enforcing environmental regulations. Additionally, the current article also concludes that the general deterrence effect on peers is more pronounced in competitive industries and regions with underdeveloped legal frameworks.
Fine particulate matter (PM2.5) exposure and unfavourable lifestyle are both significant risk factors for mental health disorders, yet their combined effects on adolescent depression and anxiety remain poorly understood. This study aims to determine whether PM2.5 exposure and lifestyle are independently associated with adolescent depression and anxiety, and whether there are joint effects between these factors on mental health outcomes.
Methods
In this cross-sectional study, 19852 participants were analysed. PM2.5 concentrations were obtained from the ChinaHighAirPollutants (CHAP) dataset. Lifestyle factors were assessed through self-reported questionnaires, and a healthy lifestyle score was developed based on eight lifestyle risk factors. Depression and anxiety were assessed using the PHQ-9 and GAD-7 scales. Restricted cubic spline analysed dose–response relationships between PM2.5 exposure and mental health outcomes. The independent and joint effects were assessed using logistic regression models. Both multiplicative and additive interactions (relative excess risk due to interaction, RERI) were examined. Multiple classification approaches were incorporated to ensure robust results.
Results
The study included 19852 participants with a mean age of 15.16 years (SD 1.60), comprising 9886 (49.8%) males and 9966 (50.2%) females. Depression and anxiety were identified in 3845 (19.37%) and 3230 (16.27%) participants, respectively. PM2.5 exposure showed a linear dose-response relationship with depression and anxiety. Joint effects analysis at the 75th percentile of PM2.5 with a lifestyle risk score of 4 revealed the strongest associations, with adjusted odds ratios of 4.49 (95% CI: 3.79–5.33) for depression, 4.01 (95% CI: 3.36–4.78) for anxiety and 4.24 (95% CI: 3.52–5.10) for their comorbidity. Simultaneously, significant additive interactions (RERI > 0) between high levels of PM2.5 exposure and unfavourable lifestyle factors were detected, suggesting synergistic effects on mental health outcomes. Subgroup and sensitivity analyses confirmed the robustness of these findings.
Conclusions
High PM2.5 exposure and unfavourable lifestyle factors demonstrated significant independent and joint effects on depression and anxiety among adolescents. These findings highlight that implementing stringent air pollution control measures, combined with promoting healthy lifestyle practices, may be crucial for protecting adolescent mental health.
To investigate the characteristics of a turbulent boundary layer (TBL) over the curved edge of the bow of submarine technology program office (SUBOFF) model, wall-resolved large-eddy simulation is conducted at a Reynolds number of $\mathop {\textit{Re}}\nolimits _L = 1.1 \times {10^6}$ based on the model length and free-stream velocity. Instead of using a trip wire at the bow surface, turbulent inflow is added to the simulation to induce boundary layer transition. The effects of geometric curvature and inflow turbulence intensity (ITI) are examined. With a low ITI level, natural transition takes place at the rear end of the straight section. With higher ITI levels, turbulence emerges immediately and evolves gradually, following a strong favourable-pressure-gradient (FPG) region near the forehead, which is significantly influenced by the large streamwise curvature. Within the FPG region, the root mean square of the wall pressure fluctuation (WPF) decreases rapidly, with the frequency spectra of WPF exhibiting good scalability with outer variables. Moreover, higher turbulence intensity levels lead to larger skin friction, which is related to the development of the TBL. To elucidate the generation mechanism of skin friction, the dynamic decomposition is derived in the curvilinear coordinate system. The mean convection and streamwise pressure gradient make the largest contributions to the local skin friction. Furthermore, an analysis of the energy transfer process based on the Reynolds stress transport equations in the curvilinear coordinate system is presented, highlighting the significant impact of geometric effects, particularly on the production term.
Antimicrobial resistance (AMR) is a global health crisis exacerbated by policies like China’s Volume-Based Procurement (VBP), which may inadvertently increase antimicrobial overuse. This study evaluates a clinical pharmacist-led Antimicrobial Stewardship (AMS) program with prospective audit for special-restricted antimicrobials under VBP.
Methods:
A retrospective quasi-experimental interrupted time-series analysis compared pre-intervention (2022) and post-intervention (2023–2024) data at Tongji Hospital, a tertiary hospital in Wuhan, China. Key metrics included Antimicrobial Use Density (AUD), prescription rationality, antimicrobial costs, and multidrug-resistant infection rates.
Results:
The intervention significantly improved prescription appropriateness for special-restricted antimicrobials (80.24% vs. 93.83%, P < 0.005) and reduced AUD (47.87 vs. 34.25, P < 0.001). Total antimicrobial costs decreased by 41.26%, with a reduction in the incidence of multidrug-resistant infections from 0.084% to 0.062% (P < 0.05). Carbapenem use correlated with CRKP isolation rates (R = 0.62, P < 0.05). Clinical pharmacists rejected 10.24% of prescriptions, all accepted by physicians.
Conclusion:
Pharmacist-led prospective audits optimize antimicrobial use under VBP, mitigate resistance risks, and reduce costs, while acknowledging that concurrent infection control measures may have contributed to these trends. This model may inform similar interventions in other institutions, particularly those in resource-limited settings.
Synthetic Aperture Radar Interferometry (InSAR) is an active remote sensing method that uses repeated radar scans of the Earth's solid surface to measure relative deformation at centimeter precision over a wide swath. It has revolutionized our understanding of the earthquake cycle, volcanic eruptions, landslides, glacier flow, ice grounding lines, ground fluid injection/withdrawal, underground nuclear tests, and other applications requiring high spatial resolution measurements of ground deformation. This book examines the theory behind and the applications of InSAR for measuring surface deformation. The most recent generation of InSAR satellites have transformed the method from investigating 10's to 100's of SAR images to processing 1000's and 10,000's of images using a wide range of computer facilities. This book is intended for students and researchers in the physical sciences, particularly for those working in geophysics, natural hazards, space geodesy, and remote sensing. This title is also available as Open Access on Cambridge Core.
David T. Sandwell, Scripps Institution of Oceanography, University of California, San Diego,Xiaohua Xu, University of Science and Technology of China,Jingyi Chen, University of Texas at Austin,Robert J. Mellors, Scripps Institution of Oceanography, University of California, San Diego,Meng Wei, University of Rhode Island,Xiaopeng Tong, Institute of Geophysics, China Earthquake Administration,John B. DeSanto, University of Washington,Qi Ou, University of Edinburgh
Chapter 3 details the kinematics of satellite orbits and their use in InSAR processing and its automation. It covers the six parameters needed to describe an orbit (Kepler elements or Cartesian state vector), transforming coordinates from an Earth-fixed frame to the satellite frame, and methods to calculate a centimeter-accuracy satellite trajectory from a sequence of state vectors.
David T. Sandwell, Scripps Institution of Oceanography, University of California, San Diego,Xiaohua Xu, University of Science and Technology of China,Jingyi Chen, University of Texas at Austin,Robert J. Mellors, Scripps Institution of Oceanography, University of California, San Diego,Meng Wei, University of Rhode Island,Xiaopeng Tong, Institute of Geophysics, China Earthquake Administration,John B. DeSanto, University of Washington,Qi Ou, University of Edinburgh
David T. Sandwell, Scripps Institution of Oceanography, University of California, San Diego,Xiaohua Xu, University of Science and Technology of China,Jingyi Chen, University of Texas at Austin,Robert J. Mellors, Scripps Institution of Oceanography, University of California, San Diego,Meng Wei, University of Rhode Island,Xiaopeng Tong, Institute of Geophysics, China Earthquake Administration,John B. DeSanto, University of Washington,Qi Ou, University of Edinburgh
David T. Sandwell, Scripps Institution of Oceanography, University of California, San Diego,Xiaohua Xu, University of Science and Technology of China,Jingyi Chen, University of Texas at Austin,Robert J. Mellors, Scripps Institution of Oceanography, University of California, San Diego,Meng Wei, University of Rhode Island,Xiaopeng Tong, Institute of Geophysics, China Earthquake Administration,John B. DeSanto, University of Washington,Qi Ou, University of Edinburgh
Chapter 8 explores a wide range of SAR operational modes, including polarization and wide swath modes. It reviews the fundamental limitation of the standard swath-mode acquisition and discusses three methods for increasing swath width: ScanSAR, Terrain Observation by Progressive Scans (TOPS), and SweepSAR for the upcoming NISAR mission.
David T. Sandwell, Scripps Institution of Oceanography, University of California, San Diego,Xiaohua Xu, University of Science and Technology of China,Jingyi Chen, University of Texas at Austin,Robert J. Mellors, Scripps Institution of Oceanography, University of California, San Diego,Meng Wei, University of Rhode Island,Xiaopeng Tong, Institute of Geophysics, China Earthquake Administration,John B. DeSanto, University of Washington,Qi Ou, University of Edinburgh
Chapter 5 explains the process of forming an interferogram from two geometrically aligned SLC images and methods for extracting deformation and topography from the interferometric phase. It also covers critical baseline, geocoding, and geocoded SLCs.
David T. Sandwell, Scripps Institution of Oceanography, University of California, San Diego,Xiaohua Xu, University of Science and Technology of China,Jingyi Chen, University of Texas at Austin,Robert J. Mellors, Scripps Institution of Oceanography, University of California, San Diego,Meng Wei, University of Rhode Island,Xiaopeng Tong, Institute of Geophysics, China Earthquake Administration,John B. DeSanto, University of Washington,Qi Ou, University of Edinburgh
David T. Sandwell, Scripps Institution of Oceanography, University of California, San Diego,Xiaohua Xu, University of Science and Technology of China,Jingyi Chen, University of Texas at Austin,Robert J. Mellors, Scripps Institution of Oceanography, University of California, San Diego,Meng Wei, University of Rhode Island,Xiaopeng Tong, Institute of Geophysics, China Earthquake Administration,John B. DeSanto, University of Washington,Qi Ou, University of Edinburgh
Chapter 9 examines the three factors that affect radar range measurement: spatial and temporal variations of the dry and wet components of the troposphere, phase advance of radar waves through the ionosphere, and the solid Earth tides. It also discusses practical corrections and mitigation approaches.
David T. Sandwell, Scripps Institution of Oceanography, University of California, San Diego,Xiaohua Xu, University of Science and Technology of China,Jingyi Chen, University of Texas at Austin,Robert J. Mellors, Scripps Institution of Oceanography, University of California, San Diego,Meng Wei, University of Rhode Island,Xiaopeng Tong, Institute of Geophysics, China Earthquake Administration,John B. DeSanto, University of Washington,Qi Ou, University of Edinburgh
Chapter 4 provides a comprehensive presentation of the commonly used range-Doppler algorithm for focusing complex backscatter data into a single-look complex (SLC) image.
Perimenopausal women often experience physiological and psychological decline due to the effects of oestrogen fluctuations and the decline of ovarian function, leading to significantly increased depression rates, decreases in the quality of life and mental health issues. Studies have shown that the gut microbiota exerts anti-perimenopausal depression (PMD) effects via the microbiota-gut-brain (MGB) axis, the mechanisms of which may be related to inflammation. In this review, we discuss the effects and mechanisms of gut microbiota in PMD and provide new insights for future PMD treatment.
Methods
This review elaborates on the role of MGB axis in PMD from different aspects of inflammation, including gut microbiota metabolites, inflammatory signaling pathways, and clinical applications.
Results
Disorders of gut microbiota and decreased levels of gut microbiota metabolites (short-chain fatty acids, monoamine neurotransmitters) may cause PMD. The mechanism of intestinal microbiota-mediated inflammation may be related to TLR4/NF-κB pathway, NOD-like receptor protein 3 (NLRP3) inflammasome pathway and JAK-STAT pathway. At the same time, it was found that gut microbiota (probiotics, prebiotics, etc.) had good therapeutic potential in the treatment of PMD.
Conclusions
MGB axis mediated inflammation may play an important role in PMD. The application of gut microbiota in the treatment of PMD patients has profound clinical transformation value, but a lot of efforts are still needed.
David T. Sandwell, Scripps Institution of Oceanography, University of California, San Diego,Xiaohua Xu, University of Science and Technology of China,Jingyi Chen, University of Texas at Austin,Robert J. Mellors, Scripps Institution of Oceanography, University of California, San Diego,Meng Wei, University of Rhode Island,Xiaopeng Tong, Institute of Geophysics, China Earthquake Administration,John B. DeSanto, University of Washington,Qi Ou, University of Edinburgh
Chapter 11 highlights the need for ground control, such as GNSS survey points, to bring InSAR deformation measurements into a geodetic reference frame. It also explains the theory for projecting vector GNSS displacement into scalar line-of-sight (LOS) InSAR displacement and the computation of strain rate from InSAR.
David T. Sandwell, Scripps Institution of Oceanography, University of California, San Diego,Xiaohua Xu, University of Science and Technology of China,Jingyi Chen, University of Texas at Austin,Robert J. Mellors, Scripps Institution of Oceanography, University of California, San Diego,Meng Wei, University of Rhode Island,Xiaopeng Tong, Institute of Geophysics, China Earthquake Administration,John B. DeSanto, University of Washington,Qi Ou, University of Edinburgh
Chapter 7 introduces the basic concepts and fundamental limitations (i.e., residues) of phase unwrapping. It presents three common unwrapping methods: the global Fourier transform method, the path-following branch-cut method, and the minimum cost flow method. Additionally, it covers methods for correcting integer ambiguities using phase closure within stacks of interferograms.
David T. Sandwell, Scripps Institution of Oceanography, University of California, San Diego,Xiaohua Xu, University of Science and Technology of China,Jingyi Chen, University of Texas at Austin,Robert J. Mellors, Scripps Institution of Oceanography, University of California, San Diego,Meng Wei, University of Rhode Island,Xiaopeng Tong, Institute of Geophysics, China Earthquake Administration,John B. DeSanto, University of Washington,Qi Ou, University of Edinburgh
David T. Sandwell, Scripps Institution of Oceanography, University of California, San Diego,Xiaohua Xu, University of Science and Technology of China,Jingyi Chen, University of Texas at Austin,Robert J. Mellors, Scripps Institution of Oceanography, University of California, San Diego,Meng Wei, University of Rhode Island,Xiaopeng Tong, Institute of Geophysics, China Earthquake Administration,John B. DeSanto, University of Washington,Qi Ou, University of Edinburgh
Chapter 1 discusses six types of remote sensing methods possible from Earth’s orbit and introduces radar interferometry as the optimal approach for measuring small surface deformation.