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Subnanometer metal clusters show advantages over conventional metal nanoparticles in numerous catalytic reactions owing to their high percentage of exposed surface sites, abundance of under‐coordinated metal sites and unique electronic structures. However, the applications of subnanometer metal clusters in high‐temperature catalytic reactions (>600 °C) are still hindered, because of their low stability under harsh reaction conditions. In this work, we have developed a zeolite‐confined bimetallic PtIn catalyst with exceptionally high stability against sintering. A combination of experimental and theoretical studies shows that the isolated framework In(III) species serve as the anchoring sites for Pt species, precluding the migration and sintering of Pt species in the oxidative atmosphere at ≥650 °C. The catalyst comprising subnanometer PtIn clusters exhibits long‐term stability of >1000 h during a cyclic reaction‐regeneration test for ethane dehydrogenation reaction. [ABSTRACT FROM AUTHOR]

Subnanometer metal clusters show advantages over conventional metal nanoparticles in numerous catalytic reactions owing to their high percentage of exposed surface sites, abundance of under‐coordinated metal sites and unique electronic structures. However, the applications of subnanometer metal clusters in high‐temperature catalytic reactions (>600 °C) are still hindered, because of their low stability under harsh reaction conditions. In this work, we have developed a zeolite‐confined bimetallic PtIn catalyst with exceptionally high stability against sintering. A combination of experimental and theoretical studies shows that the isolated framework In(III) species serve as the anchoring sites for Pt species, precluding the migration and sintering of Pt species in the oxidative atmosphere at ≥650 °C. The catalyst comprising subnanometer PtIn clusters exhibits long‐term stability of >1000 h during a cyclic reaction‐regeneration test for ethane dehydrogenation reaction. [ABSTRACT FROM AUTHOR]

The particle size distribution (PSD) of eroded sediment can effectively reflect changes in erosion processes. Hedgerows provide significant soil and water conservation benefits and influence erosion processes. However, the impact of hedgerows on the PSD of eroded sediment remains unclear. Therefore, three slope conditions (control check, CK; only hedgerow root, R; and whole hedgerow, P) involving the configuration of two slope gradients (15 and 25°) were established, and simulated rainfall experiments were conducted under three rainfall intensities (60, 90, and 120 mm/h). The PSD, sediment sorting process, and sediment particle agglomeration degree under the different slope conditions were compared to evaluate the influence of hedgerows on the size selectivity of eroded sediment during water erosion. Moreover, the direct and indirect effects of hedgerows on the sorting process and sediment particle agglomeration degree were revealed via correlation analysis and partial least squares path modelling (PLS–PM). Compared with those under CK slope conditions, the average clay, fine silt, and coarse silt contents under R slope conditions decreased by 1.37%, 0.06%, and 1.71%, respectively, whereas the sand content increased by 0.46%. Under P slope conditions, the average clay, fine silt, and coarse silt contents increased by 32.61%, 38.71%, and 36.14%, respectively, whereas the average sand content decreased by 47.30%. Under CK slope conditions, sediment sorting occurred primarily during the early stages of rainfall. R slope conditions caused an increase in the duration of early‐stage sediment sorting but caused a reduction in the degree of sorting, whereas P slope conditions exhibited interceptive sorting of sand throughout the rainfall event. Under R slope conditions, more aggregates were dispersed into individual particles due to raindrop impact, whereas under P slope conditions, more fine particles aggregated initially, but loose aggregates were dispersed into individual particles during the later rainfall stages. The enrichment rates of fine silt and coarse silt were positively correlated with slope conditions, whereas they were negatively correlated with the enrichment rate of sand. However, there was no significant relationship between the slope conditions and the aggregation rates of particles of various sizes. PLS–PM indicated that hedgerows directly and indirectly affect sorting processes and sediment particle agglomeration degree by regulating runoff and sediment erosion, and the direct effects exceed the indirect effects. These findings provide a comprehensive understanding of the influential mechanisms of hedgerows on controlling soil erosion. [ABSTRACT FROM AUTHOR]

In this paper, we demonstrate a method of measuring the flexural elastic modulus of ceramics at an intermediate (~millimeter) scale at high temperatures. We used a picosecond laser to precisely cut microbeams from the location of interest in a bulk ceramic. They had a cross-section of approximately 100 μm × 300 μm and a length of ~1 cm. They were then tested in a thermal mechanical analyzer at room temperature, 500 °C, 800 °C, and 1100 °C using the four-point flexural testing method. We compared the elastic moduli of high-purity Al2O3 and AlN measured by our method with the reported values in the literature and found that the difference was less than 5% for both materials. This paper provides a new and accurate method of characterizing the high-temperature elastic modulus of miniature samples extracted from representative/selected areas of bulk materials. [ABSTRACT FROM AUTHOR]

Background: Dual-person inspection in IVF laboratories cannot fully avoid mix-ups or embryo transfer errors, and data transcription or entry is time-consuming and redundant, often leading to delays in completing medical records. Methods: This study introduced a workflow-based RFID tag witnessing and real-time information entry platform for addressing these challenges. To assess its potential in reducing mix-ups, we conducted a simulation experiment in semen preparation to analyze its error correction rate. Additionally, we evaluated its impact on work efficiency, specifically in operation and data entry. Furthermore, we compared the cycle costs between paper labels and RFID tags. Finally, we retrospectively analyzed clinical outcomes of 20,424 oocyte retrieval cycles and 15,785 frozen embryo transfer cycles, which were divided into paper label and RFID tag groups. Results: The study revealed that comparing to paper labels, RFID tag witnessing corrected 100% of tag errors, didn't affect gamete/embryo operations, and notably shorten the time of entering data, but the cycle cost of RFID tags was significantly higher. However, no significant differences were observed in fertilization, embryo quality, blastocyst rates, clinical pregnancy, and live birth rates between two groups. Conclusions: RFID tag witnessing doesn't negatively impact gamete/embryo operation, embryo quality and pregnancy outcomes, but it potentially reduces the risk of mix-ups or errors. Despite highly increased cost, integrating RFID tag witnessing with real-time information entry can remarkably decrease the data entry time, substantially improving the work efficiency. This workflow-based management platform also enhances operational safety, ensures medical informational integrity, and boosts embryologist's confidence. [ABSTRACT FROM AUTHOR]

Synthetic Aperture Radar (SAR) has emerged as a pivotal technology in geosciences, offering unparalleled insights into Earth's surface. Indeed, its ability to provide high‐resolution, all‐weather, and day‐night imaging has revolutionized our understanding of various geophysical processes. Recent advancements in SAR technology, that is, developing new satellite missions, enhancing signal processing techniques, and integrating machine learning algorithms, have significantly broadened the scope and depth of geosciences. Therefore, it is essential to summarize SAR's comprehensive applications for geosciences, especially emphasizing recent advancements in SAR technologies and applications. Moreover, current SAR‐related review papers have primarily focused on SAR technology or SAR imaging and data processing techniques. Hence, a review that integrates SAR technology with geophysical features is needed to highlight the significance of SAR in addressing challenges in geosciences, as well as to explore SAR's potential in solving complex geoscience problems. Spurred by these requirements, this review comprehensively and in‐depth reviews SAR applications for geosciences, broadly including various aspects in air‐sea dynamics, oceanography, geography, disaster and hazard monitoring, climate change, and geosciences data fusion. For each applied field, the scientific advancements produced because of SAR are demonstrated by combining the SAR techniques with characteristics of geophysical phenomena and processes. Further outlooks are also explored, such as integrating SAR data with other geophysical data and conducting interdisciplinary research to offer comprehensive insights into geosciences. With the support of deep learning, this synergy will enhance the capability to model, simulate, and forecast geophysical phenomena with greater accuracy and reliability. Plain Language Summary: Synthetic aperture radar (SAR) uses microwaves to remotely see the Earth's surface under all weather conditions, day and night. SAR has been providing high‐resolution images for many decades and they have been applied to many fields in geosciences. Several SAR sensors have been launched in recent years, significantly increasing the SAR data volume and leading to great developments in SAR technology, thereby improving our understanding of geophysical phenomena and processes. This work comprehensively overviews the application of SAR in geosciences, including oceanography, geography, geodesy, climatology, seismology, meteorology, and environmental science. Moreover, this review paper highlights the significance of SAR in various aspects of geosciences, summarizes recent advancements in SAR technology, and demonstrates unique insights and important contributions of SAR in understanding and solving geophysical questions. Future directions and outlooks include integrating SAR with other geophysical data and interdisciplinary applications for complex questions. This review serves as an up‐to‐date guide to the cutting‐edge uses of SAR technology in comprehensive geophysical studies. It is aimed at researchers and practitioners in geosciences, as well as policymakers and stakeholders interested in leveraging SAR for geosciences. Key Points: Synthetic Aperture Radar (SAR) for geosciences is comprehensively reviewed broadly including oceanography, geography, hazards, and climate changeScientific advances contributed by SAR techniques for each topic are overviewed in‐depth with recent developments and frontiers highlightedData, techniques, and scientific insights of SAR are summarized and prospected, highlighting the role of machine learning [ABSTRACT FROM AUTHOR]

Insufficient spatiotemporal coverage of partial pressure of CO2 (p CO2) observations has hindered precise studies of the coastal carbon cycle along the North American Atlantic Coastal Ocean Margin (NAACOM). Earlier p CO2-products have encountered difficulties in accurately capturing the heterogeneity of regional variations and decadal trends of p CO2 in the NAACOM. This study developed a regional reconstructed p CO2-product for the NAACOM (Reconstructed Coastal Acidification Database- p CO2, or ReCAD-NAACOM- p CO2) using a two-step approach combining random forest regression and linear regression. The product provides monthly p CO2 data at 0.25° spatial resolution from 1993 to 2021, enabling investigation of regional spatial differences, seasonal cycles, and decadal changes in p CO2. The observation-based reconstruction was trained using Surface Ocean CO2 Atlas (SOCAT) observations as ground-truth values, with various satellite-derived and reanalysis environmental variables known to control sea surface p CO2 as model inputs. The product shows high accuracy during the model training, validation, and independent test phases, demonstrating robustness and capability to accurately reconstruct p CO2 in regions or periods lacking direct observational data in the NAACOM. Compared with all the observation samples from SOCAT, the p CO2-product yields a determination coefficient of 0.83, a root-mean-square error of 18.64 µatm, and an accumulative uncertainty of 23.83 µatm. The ReCAD-NAACOM- p CO2 product demonstrates its capability to resolve seasonal cycles, regional-scale variations, and decadal linear trends of p CO2 along the NAACOM. This new product provides reliable p CO2 data for more precise studies of coastal carbon dynamics in the NAACOM region. The dataset is publicly accessible at https://doi.org/10.5281/zenodo.11500974 (Wu et al., 2024a) and will be updated regularly. [ABSTRACT FROM AUTHOR]

Background: Dual-person inspection in IVF laboratories cannot fully avoid mix-ups or embryo transfer errors, and data transcription or entry is time-consuming and redundant, often leading to delays in completing medical records. Methods: This study introduced a workflow-based RFID tag witnessing and real-time information entry platform for addressing these challenges. To assess its potential in reducing mix-ups, we conducted a simulation experiment in semen preparation to analyze its error correction rate. Additionally, we evaluated its impact on work efficiency, specifically in operation and data entry. Furthermore, we compared the cycle costs between paper labels and RFID tags. Finally, we retrospectively analyzed clinical outcomes of 20,424 oocyte retrieval cycles and 15,785 frozen embryo transfer cycles, which were divided into paper label and RFID tag groups. Results: The study revealed that comparing to paper labels, RFID tag witnessing corrected 100% of tag errors, didn't affect gamete/embryo operations, and notably shorten the time of entering data, but the cycle cost of RFID tags was significantly higher. However, no significant differences were observed in fertilization, embryo quality, blastocyst rates, clinical pregnancy, and live birth rates between two groups. Conclusions: RFID tag witnessing doesn't negatively impact gamete/embryo operation, embryo quality and pregnancy outcomes, but it potentially reduces the risk of mix-ups or errors. Despite highly increased cost, integrating RFID tag witnessing with real-time information entry can remarkably decrease the data entry time, substantially improving the work efficiency. This workflow-based management platform also enhances operational safety, ensures medical informational integrity, and boosts embryologist's confidence. [ABSTRACT FROM AUTHOR]

The Central Jilin-Yanbian metallogenic belt, one of the 12 important nickel mineralization belts in China, containing 13 nickel deposits(occurrences), with nickel reserves of more than 280 000 tons, is an important nickel resource base in China. There are intense multistage tectonomagmatic activities in the metallogenic belt, especially a series of ultramafic-mafic rock groups and related copper-nickel sulfide deposits were formed in the Indosinian post-orogenic extensional background. Through study on the two typical nickel deposits in Hongqiling and Changren, the paper sorts out the geological and metallogenic characteristics of nickel deposits, summarizes the spatiotemporal distribution regularity, and extracts the prospecting indicators. Based on the regional geological characteristics and gravity, aeromagnetic anomalies, the prospecting potential of copper-nickel sulfide deposits in Central Jilin-Yanbian metallogenic belt is analyzed, and the prospecting direction of nickel deposits is discussed to provide scientific basis for the further nickel prospecting deployment in the metallogenic belt. [ABSTRACT FROM AUTHOR]

Objective: To explore the association between the concentration of maternal serum biomarkers and the risk of fetal carrying chromosome copy number variants (CNVs). Methods: Pregnant women identified as high risk in the second-trimester serological triple screening and underwent traditional amniotic fluid karyotype analysis, along with comparative genomic hybridization array (aCGH)/copy number variation sequencing (CNV-seq), were included in the study. We divided the concentration of serum biomarkers, free beta-human chorionic gonadotropin (fβ-hCG), alpha fetoprotein (AFP) and unconjugated estriol (uE3), into three levels: abnormally low, normal and abnormally high. The prevalence of abnormally low, normal and abnormally high serum fβ-hCG, AFP and uE3 levels in pregnant women with aberrant aCGH/CNV-seq results and normal controls was calculated. Results: Among the 2877 cases with high risk in the second-trimester serological triple screening, there were 98 chromosome abnormalities revealed by karyotype analysis, while 209 abnormalities were detected by aCGH/CNVseq (P＜0.001). The carrying rate of aberrant CNVs increased significantly when the maternal serum uE3 level was less than 0.4 multiple of median (MoM) of corresponding gestational weeks compared to normal controls, while the carrying rate of aberrant CNVs decreased significantly when the maternal serum fβ-hCG level was greater than 2.5 MoM compared to normal controls. No significant difference was found in the AFP group. Conclusion: Low serum uE3 level (<0.4 MoM) was associated with an increased risk of aberrant CNVs. [ABSTRACT FROM AUTHOR]

Solar-blind photodetectors play an important role in many fields of solar-blind ultraviolet (UV) photodetection such as missile tracking and fire warning. A high-performance self-powered solar-blind photodetector was fabricated using InSe/β-Ga2O3 heterojunction. The 4-inch wafer-scale β-Ga2O3 film was prepared by a low-cost sol–gel process. The resulting β-Ga2O3 film was flat and uniform with an RMS (Root Mean Square roughness) of 1.08 nm. A self-driven solar-blind UV photodetector of InSe/β-Ga2O3 was constructed by stacking an InSe flake with a wide wavelength range of 230 nm to 800 nm. This detector could detect 230 nm deep UV under zero bias with a very small response dark current (3.98 fA) and a responsivity of about 122.69 μA W−1. These impressive results demonstrate the potential of the 4-inch polycrystalline-oriented β-Ga2O3 for light-conducting photovoltaic devices. [ABSTRACT FROM AUTHOR]

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The ocean surface exhibits a variety of oceanic and atmospheric phenomena. Automatically detecting and identifying these phenomena is crucial for understanding oceanic dynamics and ocean-atmosphere interactions. In this study, we select 2,383 Sentinel-1 WV mode images and 2,628 IW mode sub-images to construct a semantic segmentation dataset that includes 12 typical oceanic and atmospheric phenomena. Each phenomenon is represented by approximately 400 sub-images, resulting in a total of 5,011 images. The images in this dataset have a resolution of 100 meters and dimensions of 256 × 256 pixels. We propose a modified Segformer model to segment semantically these multiple categories of oceanic and atmospheric phenomena. Experimental results show that the modified Segformer model achieves an average Dice coefficient of 80.98 %, an average IoU of 70.32 %, and an overall accuracy of 87.13 %, demonstrating robust segmentation performance of typical oceanic and atmospheric phenomena in SAR images. [ABSTRACT FROM AUTHOR]

Background: Neurofibromatosis type 1 (NF 1) is an autosomal-dominant tumor predisposition genetic disease affecting approximately 1 in 3000 live births. The condition could present various manifestations ranging from skin abnormalities to neurological tumors. The musculoskeletal system could also be frequently affected, and scoliosis is the most common orthopedic manifestation. Characterized by the early-onset and rapid progression tendency, NF 1-related dystrophic scoliosis presented discrepancies from idiopathic scoliosis in terms of natural history, clinical features, and management outcomes and thus required special attention. In the current study, the authors conducted a systemic review to outline the body of evidence of the natural history, clinical characteristics, surgical outcomes, and surgical complications of NF 1-induced scoliosis, aiming to provide an elucidative insight into this condition. Method: Systemic review and meta-analysis were conducted according to the latest Preferred Reporting Items for Systematic Reviews Meta-Analyses (PRISMA) guidelines. The search was performed in Medline, Embase, and Web of Science Core Collection up to December 27, 2022, using related keywords. Clinical features such as frequencies, segmental involvement, and hereditary information were summarized and described qualitatively. Meta-analysis was conducted using R software and the 'meta' package to yield an overall outcome of efficacy and safety of surgical management, precisely, spinal fusion procedure and growing rods procedure. Corrective rate of Cobb angle, sagittal kyphosis angle, and T1-S1 length post-operative and at the last follow-up was used to evaluate the efficacy, and the occurrence of surgery-related complications was used to evaluate the safety. Result: A total of 37 articles involving 1023 patients were included. Approximately 26.6% of the NF 1 patients would present with scoliosis. Patients tend to develop scoliosis at an earlier age. The thoracic part turned out to be the most affected segment. No obvious correlation between scoliosis and genotype or hereditary type was observed. Both spinal fusion and growing rod surgery have shown acceptable treatment outcomes, with spinal fusion demonstrating better performance in terms of effectiveness and safety. The growing rods technique seemed to allow a better lengthening of the spine. The mainstay post-operative complications were implant-related complications but could be managed with limited revision surgery. Severe neurological deficits were rarely reported. Conclusion: Scoliosis, especially the subtype characterized by dystrophic bony changes, is a significant orthopedic manifestation of NF1. It has an early onset, a tendency to persistently and rapidly progress, and is challenging to deal with. The current review outlines the available evidence from the perspective of natural history, clinical features, and the treatment efficacy and safety of the mainstay surgical options. Patients with NF1 scoliosis will benefit from a better understanding of the disease and evidence based treatment strategies. [ABSTRACT FROM AUTHOR]

Soil aggregate is the basic structural unit of soil, which is the foundation for supporting ecosystem functions, while its composition and stability is significantly affected by the external environment. This study was conducted to explore the effect of external environment (wetting-drying cycles and acidic conditions) on the soil aggregate distribution and stability and identify the key soil physicochemical factors that affect the soil aggregate stability. The yellow-brow soil from the Three Gorges Reservoir area (TGRA) was used, and 8 wetting-drying conditions (0, 1, 2, 3, 4, 5, 10 and 15 cycles) were simulated under 4 acidic conditions (pH = 3, 4, 5 and 7). The particle size distribution and soil aggregate stability were determined by wet sieving method, the contribution of environmental factors (acid condition, wetting-drying cycle and their combined action) to the soil aggregate stability was clarified and the key soil physicochemical factors that affect the soil aggregate stability under wetting-drying cycles and acidic conditions were determined by using the Pearson's correlation analysis, Partial least squares path modeling (PLS–PM) and multiple linear regression analysis. The results indicate that wetting-drying cycles and acidic conditions have significant effects on the stability of soil aggregates, the soil aggregate stability gradually decreases with increasing number of wetting-drying cycles and it obviously decreases with the increase of acidity. Moreover, the combination of wetting-drying cycles and acidic conditions aggravate the reduction in the soil aggregate stability. The wetting-drying cycles, acidic conditions and their combined effect imposes significant impact on the soil aggregate stability, and the wetting-drying cycles exert the greatest influence. The soil aggregate stability is significantly correlated with the pH, Ca2+, Mg2+, maximum disintegration index (MDI) and soil bulk density (SBD). The PLS–PM and multiple linear regression analysis further reveal that the soil aggregate stability is primarily influenced by SBD, Ca2+, and MDI. These results offer a scientific basis for understanding the soil aggregate breakdown mechanism and are helpful for clarifying the coupled effect of wetting-drying cycles and acid rain on terrestrial ecosystems in the TGRA. [ABSTRACT FROM AUTHOR]

We investigate the weak decays of the triply heavy baryon Ω QQQ in the light-front quark model. Since Ω QQQ consists of three indistinguishable identical heavy quarks, the commonly adopted quark–diquark picture does not seem to be valid anymore. Instead, we employ the three-quark picture for baryons where the three quarks are regarded as individual quarks. We calculate the hadronic form factors for the transitions and give predictions for the decay widths of the semi-leptonic decay modes Ω ccc → Ξ cc / Ω cc + l + ν l , Ω bbb → Ξ bb + l - ν ¯ l and the non-leptonic decay modes Ω ccc → Ξ cc / Ω cc + M , Ω bbb → Ξ bb + M . Our study can be a guide for future experiments to discover the triply heavy baryons. [ABSTRACT FROM AUTHOR]

In China, tourism development is a crucial approach to poverty alleviation. With the consolidation of poverty alleviation achievements and the promotion of rural revitalization, it is of great significance to explore the relationship between tourism development and poverty alleviation from the perspective of multidimensional poverty. Therefore, this study took 28 key assistance counties for rural revitalization in the Sichuan–Chongqing region (hereinafter referred to as "key counties") as the research objects, introduced NPP-VIIRS nighttime light (NTL) data, and a coupling coordination degree (CCD) model to explore the coordination relationship and mechanism between them. The results showed that from 2015 to 2020, the tourism development index (TDI) and estimated comprehensive development index (ECDI) of the key counties increased by 112.57% and 115.12%, respectively. In addition, the spatial differences in tourism development and multidimensional poverty both showed a narrowing trend. According to the results of the CCD model, the key counties basically faced coordination obstacles in the early stage, which were mainly transformed into reluctant coordination and moderate coordination in the later stage. This indicated that tourism poverty alleviation showed a coordinated development trend overall. However, the study also found that there may not be synchronicity between tourism development and poverty alleviation and analyzed the mechanism of their interaction. Overall, the study confirmed the positive impact of tourism development on alleviating multidimensional poverty. In addition, the study found that measuring multidimensional poverty based on NTL data has a high accuracy and can provide support for poverty research. These research results have an important reference value for China to carry out sustainable tourism poverty alleviation and comprehensively promote rural revitalization. [ABSTRACT FROM AUTHOR]

Most gastric cancers arise in the setting of chronic inflammation which alters gland organization, such that acid-pumping parietal cells are lost, and remaining cells undergo metaplastic change in differentiation patterns. From a basic science perspective, recent progress has been made in understanding how atrophy and initial pyloric metaplasia occur. However, pathologists and cancer biologists have long been focused on the development of intestinal metaplasia patterns in this setting. Arguably, much less progress has been made in understanding the mechanisms that lead to the intestinalization seen in chronic atrophic gastritis and pyloric metaplasia. One plausible explanation for this disparity lies in the notable absence of reliable and reproducible small animal models within the field, which would facilitate the investigation of the mechanisms underlying the development of gastric intestinal metaplasia (GIM). This review offers an in-depth exploration of the current state of research in GIM, shedding light on its pivotal role in tumorigenesis. We delve into the histological subtypes of GIM and explore their respective associations with tumor formation. We present the current repertoire of biomarkers utilized to delineate the origins and progression of GIM and provide a comprehensive survey of the available, albeit limited, mouse lines employed for modeling GIM and engage in a discussion regarding potential cell lineages that serve as the origins of GIM. Finally, we expound upon the myriad signaling pathways recognized for their activity in GIM and posit on their potential overlap and interactions that contribute to the ultimate manifestation of the disease phenotype. Through our exhaustive review of the progression from gastric disease to GIM, we aim to establish the groundwork for future research endeavors dedicated to elucidating the etiology of GIM and developing strategies for its prevention and treatment, considering its potential precancerous nature. [ABSTRACT FROM AUTHOR]

Introduction: This study aims to document and preserve the traditional medicinal knowledge of the Gelao community in Northern Guizhou, China, providing valuable insights for modern pharmacological research and the development of these traditional remedies. Methods: Our methodology encompassed a blend of literature review, community interviews, and participatory observation to delve into the traditional knowledge of animal-derived medicines among the Gelao community. We employed quantitative ethnological and ecological assessment techniques to evaluate the significance of these practices. Informed consent was secured before conducting interviews, with a focus on ascertaining the types of medicines familiar to the informants, including their local names, sources, methods of preparation, application techniques, diseases treated, frequency of use, and safety considerations. Results: Our research cataloged 55 varieties of animal-derived medicines utilized by the Gelao people. Out of these, 34 originate from wild animals, mainly encompassing small insects, reptiles, and aquatic species; the remaining 21 are derived from domesticated animals, largely involving their tissues, organs, and various physiological or pathological by-products. These medicines are primarily applied in treating pediatric ailments (13 types), internal disorders (11 types), gynecological issues (3 types), dermatological problems (7 types), ENT conditions (3 types), trauma-related injuries (5 types), joint and bone ailments (5 types), infections (2 types), dental issues (2 types), and urolithiasis (1 type), with three types being used for other miscellaneous conditions. Commonly utilized medicines, such as honey, Blaps beetle, chicken gallstones, and snake-based products, are preferred for their availability, edibility, and safety within the Gelao communities. Conclusion: The Gelao community's traditional medicines represent a rich diversity of animal sources, showcasing extensive expertise and knowledge in their processing and clinical applications. This wealth of traditional knowledge offers novel perspectives for the contemporary pharmacological study and development of these remedies. Additionally, our research plays a crucial role in aiding the preservation and continuation of this invaluable cultural heritage. [ABSTRACT FROM AUTHOR]

We investigate the dual-band perfect absorption and their hybridization on multilayer tungsten disulfide (WS2) gratings with metallic substrates by the finite-difference time-domain method and the coupled-mode theory. Numerical results suggest that, under the illumination of the transverse magnetic polarized plane wave, the special multilayer WS2 grating with high refractive index not only allows the circulating-current-drove magnetic resonance but also provides additional wavevectors to excite the plasmonic resonance on the substrate surface simultaneously. Consequently, the dual-band perfect absorption is obtained in the single-port system by two independent critical coupling. The effect of small changes in the grating period, width, and height on spectral positions of absorption peaks is presented. The inherent multiple dielectric resonances on the WS2 grating under the illumination of the transverse electric polarized plane wave are also demonstrated. Intriguingly, the simultaneous existence of angle-independent magnetic resonances and angle-dependent plasmonic resonances gives rise to the obvious hybridization between the two types of resonances under the oblique incidence. Numerical results are in excellent agreement with theoretical calculations. The structure under study undoubtedly opens perspectives for enhancing light–matter interactions in two-dimensional materials. [ABSTRACT FROM AUTHOR]

It has been reported that the sea level falls in the tropical Southwest Indian Ocean (SWIO) from the 1960s to the early 2000s. However, a rising trend of 4.05 ± 0.56 cm/decade has occurred during the recent two decades with our analysis showing that manometric sea level contributes 41% to this sea level rise. 30% of this rise is due to steric sea level (SSL) change in the upper 2,000 m with SSL rise in the upper 300 m of secondary importance. Conversely, thermal expansion below the thermocline (300–2,000 m), likely caused by water mass spread from the Southern Ocean, induces major contribution to SSL changes. Compared to existing studies demonstrating the contribution of thermal variations above the thermocline to sea level variability in the tropical SWIO, this study emphasizes the importance of ocean mass and deeper ocean changes in a warming climate. Plain Language Summary: Global ocean sea level change is spatially and temporally nonuniform due to oceanic and atmospheric dynamics. The tropical Southwest Indian Ocean (SWIO) experienced a sea level fall from the 1960s to the early 2000s. However, a rapid sea level rise has occurred over the last two decades in the tropical SWIO that is faster than the global average. The ocean mass increase due to extra water input leads to an essential impact on sea level rise in the tropical SWIO. Compared to previous studies demonstrating the effect of thermal expansion in the upper 300 m, this study shows larger contributions from deeper ocean (300–2,000 m) warming over the past two decades. Overall, this study highlights the importance of ocean mass and deeper water thermal structure in regulating tropical SWIO sea level rise in a changing climate, as well as the need for observations and direct assessment of the abyssal ocean beneath 2,000 m. Key Points: Rapid sea level rise occurs in the tropical Southwest Indian Ocean (SWIO) since the early 2000sThe ocean mass addition and the upper 2,000 m ocean warming contribute significantly to the total sea level riseThe upper 2,000 m ocean warming is primarily attributed to thermal expansion below the thermocline associated with the spread of water masses [ABSTRACT FROM AUTHOR]

Marine heatwaves (MHWs) are extremely warm ocean temperature events that significantly affect marine environments, but their effects on the coastal carbonate system are still uncertain. In this study, we systematically quantify MHWs' impacts on air‐sea carbon dioxide (CO2) flux anomalies (FCO2′) in the Mid‐Atlantic Bight (MAB) and South Atlantic Bight (SAB) from 1992 to 2020. During the longest MHW in both regions, oceanic CO2 uptake capabilities substantially decreased, primarily due to significant increases in the seawater partial pressure of CO2 (pCO2sea). For all cases, MHWs played a more significant role in driving pCO2sea changes in the MAB than the SAB, where non‐thermal drivers dominated pCO2sea variability. In the MAB, weakened wind speeds related to wintertime atmospheric perturbations increase ocean temperatures and pCO2sea, further reducing CO2 uptake during winter MHWs. This work is the first to connect extreme temperatures to coastal air‐sea CO2 fluxes. The reduction in CO2 absorption noted during MHWs in this study has important implications for coastal regions to act as continued sinks for excess CO2 emissions in the atmosphere. Plain Language Summary: The transfer of carbon dioxide (CO2) between the atmosphere and ocean is sensitive to sea surface temperature (SST) changes because warmer SSTs increase the sea surface partial pressure of CO2 and reduce the ocean's ability to absorb CO2 from the atmosphere. It is, therefore, conceivable that marine heatwaves (MHWs), which are extremely warm ocean temperature events, could modify how carbon moves between the ocean and the atmosphere. This study provides the first attempt to evaluate the impacts of MHWs on the air‐sea CO2 flux (FCO2) anomalies along the US East Coast, encompassing the Mid‐Atlantic Bight (MAB) and South Atlantic Bight (SAB) during 1992–2020. Both regions experienced reduced CO2 absorption in response to the longest MHWs in each region. These extreme temperatures had a larger impact on CO2 absorption in the MAB compared to the SAB, where non‐temperature factors were more influential. The coastal ocean plays an important role in helping to mitigate human‐induced climate change by absorbing excess CO2 from the atmosphere. As such, the demonstrated reduced absorption of the ocean associated with MHWs in this study, which might also apply to other coastal locations, has vital implications for the efficiency of the ocean in offsetting global warming impacts. Key Points: Marine heatwaves (MHWs) primarily generated positive sea surface pCO2 (pCO2sea) anomalies in the Mid‐Atlantic Bight (MAB) and South Atlantic Bight (SAB) but had a larger impact on air‐sea CO2 flux anomalies in the MABReduced wind speeds amplified MHW contributions during CO2 sink months and counteracted them during CO2 source monthsIn the MAB, wintertime atmospheric perturbations related to zonal shifts in the jet stream produce slower wind speeds which aid in generating air‐sea heat flux type MHW events that ultimately reduce oceanic CO2 uptake [ABSTRACT FROM AUTHOR]

Background: Alopecia areata (AA) is an autoimmune disorder characterized by hair loss on the scalp, face, and other body areas. Despite affecting approximately 2% of the global population, there has been no previous bibliometric analysis specifically focusing on AA treatment that can guide researchers in exploring promising treatment options and directing future research efforts. Summary: This study conducted a bibliometric analysis of AA treatment research, encompassing publications from 2003 to 2022. A total of 1,323 papers from 65 countries, predominantly led by the USA and China, were included in the analysis. The number of publications related to AA treatment showed a notable increase over the years. Prominent research institutions included the University of Manchester, Icahn School of Medicine at Mount Sinai, University of Miami, and Columbia University. Among the journals, Dermatologic Therapy stood out as the most popular, while the Journal of the American Academy of Dermatology appeared as the most frequently co-cited publication. [ABSTRACT FROM AUTHOR]

Estimating the ocean mixed layer depth (MLD) is crucial for studying the atmosphere-ocean interaction and global climate change. Satellite observations can accurately estimate the MLD over large scales, effectively overcoming the limitation of sparse in situ observations and reducing uncertainty caused by estimation based on in situ and reanalysis data. However, combining multisource satellite observations to accurately estimate the global MLD is still extremely challenging. This study proposed a novel Residual Convolutional Gate Recurrent Unit (ResConvGRU) neural networks, to accurately estimate global MLD along with multisource remote sensing data and Argo gridded data. With the inherent spatiotemporal nonlinearity and dependence of the ocean dynamic process, the proposed method is effective in spatiotemporal feature learning by considering temporal dependence and capturing more spatial features of the ocean observation data. The performance metrics show that the proposed ResConvGRU outperforms other well-used machine learning models, with a global determination coefficient (R2) and a global root mean squared error (RMSE) of 0.886 and 17.83 m, respectively. Overall, the new deep learning approach proposed is more robust and advantageous in data-driven spatiotemporal modeling for retrieving ocean MLD at the global scale, and significantly improves the estimation accuracy of MLD from remote sensing observations. [ABSTRACT FROM AUTHOR]

A many‐body calculation is implemented on a strongly correlated metal Ce3Pb by density functional theory plus dynamical mean‐field theory, including 4f−4f electron correlation, 4f‐conduction electron hybridization and relativistic effects. Calculation results suggest that j = 5/2 and j = 7/2 manifolds are in partially filled and empty states, respectively. Negligible contributions of 4 f°, 4f2, and 4f3 configurations give the occupation number of 4f electrons n4f about 1.0, indicating the high 4f localization in Ce3Pb above T = 300 K, in accord with the Bader charge analysis, electron localization function and charge density difference. The detailed analysis of the spectra features yields the quasi‐particle peak, Kondo resonance peak as well as Hubbard bands close to Fermi level. Finally, the quasi‐particle band structure is estimated to compare with the potential angle‐resolved photoemission spectrum. [ABSTRACT FROM AUTHOR]

Background: Growing evidence has suggested that Type I Interferon (I-IFN) plays a potential role in the pathogenesis of Down Syndrome (DS). This work investigates the underlying function of MX1, an effector gene of I-IFN, in DS-associated transcriptional regulation and phenotypic modulation. Methods: We performed assay for transposase-accessible chromatin with high-throughout sequencing (ATAC-seq) to explore the difference of chromatin accessibility between DS derived amniocytes (DSACs) and controls. We then combined the annotated differentially expressed genes (DEGs) and enriched transcriptional factors (TFs) targeting the promoter region from ATAC-seq results with the DEGs in RNA-seq, to identify key genes and pathways involved in alterations of biological processes and pathways in DS. Results: Binding motif analysis showed a significant increase in chromatin accessibility of genes related to neural cell function, among others, in DSACs, which is primarily regulated by members of the activator protein-1 (AP-1) transcriptional factor family. Further studies indicated that MX Dynamin Like GTPase 1 (MX1), defined as one of the key effector genes of I-IFN, is a critical upstream regulator. Its overexpression induced expression of AP-1 TFs and mediated inflammatory response, thus leading to decreased cellular viability of DS cells. Moreover, treatment with specific AP-1 inhibitor T-5224 improved DS-associated phenotypes in DSACs. Conclusions: This study demonstrates that MX1-mediated AP-1 activation is partially responsible for cellular dysfunction of DS. T-5224 effectively ameliorated DS-associated phenotypes in DSACs, suggesting it as a potential treatment option for DS patients. [ABSTRACT FROM AUTHOR]

The formation age and petrogenesis of tbe two-mica monzogranite drilled from HGD-1 well in Cannan area of central-nortbern Daxinganling Mountains are determined and tbe regional tectonic setting is revealed on the basis Of LA-ICP-MS zircon U-Pb chronology and petrogeochemistry studies. The zircons in granite are subidiomorphic- idiomorphic, with obvious oscillatory growth zone. The dating results show that the two-mica monzogranite was formed at 161 Ma, which is the product of magmatic event in early Late Jurassic. Ceochemical analysis results indicate that the granite is characterized by high Si (SiO2 69.81%-74.3%), rich Al (Al2O3 13.5%-16.8%), and poor Fe (Fe2O3 0.26%-0.6%), belonging to quasi aluminous-weak peraluminous series in terms of chemical composition, with enriched LILEs (Rb, Ba and K) and HFSE (Hf), and depleted HFSEs (Nb, Ta and Ti), and relatively enriched LREEs and depleted HREEs, which is of I-type granite. The magma originates from the partial melting of newly thickened continental crust material. Hie study results reveal that the formation of the early Late Jurassic two-mica monzogranite is related to the continent-continent collision environment during the closure progress of Mongol-Okhotsk suture zone, and its formation age restricts the closing time of Mongol-Okhotsk Ocean to the early Late Jurassic in Gannan area of central-northern Daxinganling Mountains. [ABSTRACT FROM AUTHOR]

Currently, the integration of satellite-based LiDAR (ICESat-2) and continuous remote sensing imagery has been extensively applied to mapping forest canopy height over large areas. A considerable fraction of low-quality photons exists in ICESAT-2/ATL08 products, which restricts the performance of regional canopy height estimation. To solve these problems, a Local Noise Removal-Light Gradient Boosting Machine (LNR-LGB) method was proposed in this study, which efficiently filtered the unreliable canopy photons in ATL08, constructed an extrapolation model by combining multiple remote sensing data, and finally mapped the 30 m forest canopy height of Hunan Province in 2020. To verify the feasibility of this method, the canopy parameters were also filtered based on ATL08 product attributes (traditional method), and the accuracy of the two models was compared using the 10-fold cross-validation. The conclusions were as follows: (1) compared with the traditional model, the overall accuracy of the LNR-LGB model was approximately doubled, in which R2 increased from 0.46 to 0.65 and RMSE decreased from 6.11 m to 3.48 m; (2) the forest height in Hunan Province ranged from 2.53 to 50.79 m with an average value of 18.34 m. The LNR-LGB method will provide a new concept for achieving high-accuracy mapping of regional forest height. [ABSTRACT FROM AUTHOR]

Donkey milk has high nutritional and medicinal value, but there are few researches in donkey milk traits, especially on genome. The whole lactation of 89 donkeys was recorded and it was found that Xinjiang donkey had good lactation performance while great differences among individuals. In our previous study, four genes including LGALS2, NUMB, ADCY8 and CA8 were identified as milk-associated with Chinese Kazakh house, based on Equine 670k Chip genomic analysis. And then 15 SNPs of the four key genes were conducted for genotyping in Xinjiang donkey in this study, one of Chinese indigenous breed, 14 SNPs were successful classified. And those SNPs were correlation analysis with milk yield of Xinjiang donkeys. The results showed that NUMB g.46709914T > G was significantly correlated with daily milk yield of Xinjiang donkey in the early, middle, and late periods, while ADCY8 g.48366302T > C, CA8 g.89567442T > G and CA8 g.89598328T > A were significantly correlated with lactation in the late periods. These results indicate that NUMB g.46709914T > G can be as markers of candidate genes for lactating traits in donkeys, SNPs of ADCY8 and CA8 as potential. Our findings will not only help confirm key genes for donkey milk traits, but also provide future for genomic selection in donkeys. [ABSTRACT FROM AUTHOR]

Tropical cyclones (TC) are the most intense interactions between the ocean and atmosphere. Synthetic aperture radar (SAR) can capture high resolution marine atmospheric and oceanic features. Therefore, high-resolution sea surface wind information can be retrieved from SAR imagery through various methods. In this study, a new modified local gradient (ILG-Mod) method is proposed for TC wind direction retrieval. It combines SAR image smoothing and local gradient computation in the spectral domain, and changes the way to obtain the main local gradient direction in the spatial domain. Nineteen TC images acquired from Sentinel-1 SAR have been collected for validation. The proposed method is compared with the local gradients (LG) method, modified local gradients (LG-Mod) method, and the improved local gradients (ILG) method. In addition, ERA5 (the fifth generation European Centre for Medium-Range Weather Forecasts) reanalysis data and CCMP (the Cross-Calibrated Multi-Platform) data are used for validation. Statistical results show that wind directions retrieved by the ILG-Mod method are highly consistent with the validated data. Comparisons with validated data reveal bias, root mean square error (RMSE), and correlation coefficient (r) values of 17.09°, 19.63° and 0.96, respectively. The proposed ILG-mod method is therefore suitable to retrieve wind direction of TCs. [ABSTRACT FROM AUTHOR]

Carbon-defect engineering in metal single-atom catalysts by simple and robust strategy, boosting their catalytic activity, and revealing the carbon defect-catalytic activity relationship are meaningful but challenging. Herein, we report a facile self-carbon-thermal-reduction strategy for carbon-defect engineering of single Fe-N4 sites in ZnO-Carbon nano-reactor, as efficient catalyst in Fenton-like reaction for degradation of phenol. The carbon vacancies are easily constructed adjacent to single Fe-N4 sites during synthesis, facilitating the formation of C-O bonding and lowering the energy barrier of rate-determining-step during degradation of phenol. Consequently, the catalyst Fe-NCv-900 with carbon vacancies exhibits a much improved activity than the Fe-NC-900 without abundant carbon vacancies, with 13.5 times improvement in the first-order rate constant of phenol degradation. The Fe-NCv-900 shows high activity (97% removal ratio of phenol in only 5 min), good recyclability and the wide-ranging pH universality (pH range 3-9). This work not only provides a rational strategy for improving the Fenton-like activity of metal single-atom catalysts, but also deepens the fundamental understanding on how periphery carbon environment affects the property and performance of metal-N4 sites. Designing carbon-defect engineering is significant for boosting the catalytic performance of metal single-atom sites catalysts. Herein, the authors report a self-carbon-thermal-reduction strategy for carbon defect engineering to boost the Fenton-like activity of single Fe-N4 sites. [ABSTRACT FROM AUTHOR]

The measurements on a few pentaquarks states P c (4440) , P c (4457) and P cs (4459) excite our new interests about their structures. Since the masses of P c (4440) and P c (4457) are close to the threshold of Σ c D ¯ ∗ , in the earlier works, they were regarded as molecular states of Σ c D ¯ ∗ with quantum numbers I (J P) = 1 2 (1 2 -) and 1 2 (3 2 -) , respectively. In a similar way P cs (4459) is naturally considered as a Ξ c D ¯ ∗ bound state with I = 0 . Within the Bethe-Salpeter (B-S) framework we systematically study the possible bound states of Λ c D ¯ ∗ , Σ c D ¯ ∗ , Ξ c D ¯ ∗ and Ξ c ′ D ¯ ∗ . Our results indicate that Σ c D ¯ ∗ can form a bound state with I (J P) = 1 2 (1 2 -) , which corresponds to P c (4440) . However for the I (J P) = 1 2 (3 2 -) system the attraction between Σ c and D ¯ ∗ is too weak to constitute a molecule, so P c (4457) may not be a bound state of Σ c D ¯ ∗ with I (J P) = 1 2 (3 2 -) . As Ξ c D ¯ ∗ and Ξ c ′ D ¯ ∗ systems we take into account of the mixing between Ξ c and Ξ c ′ and the eigenstets should include two normal bound states Ξ c D ¯ ∗ and Ξ c ′ D ¯ ∗ with I (J P) = 1 2 (1 2 -) and a loosely bound state Ξ c D ¯ ∗ with I (J P) = 1 2 (3 2 -) . The conclusion that two Ξ c D ¯ ∗ bound states exist, supports the suggestion that the observed peak of P cs (4459) may hide two states P cs (4455) and P cs (4468) . Based on the computations we predict a bound state Ξ c ′ D ¯ ∗ with I (J P) = 1 2 (1 2 -) but not that with I (J P) = 1 2 (3 2 -) . Further more accurate experiments will test our approach and results. [ABSTRACT FROM AUTHOR]

Elucidating the synergistic catalytic mechanism between multiple active centers is of great significance for heterogeneous catalysis; however, finding the corresponding experimental evidence remains challenging owing to the complexity of catalyst structures and interface environment. Here we construct an asymmetric TeN2–CuN3 double-atomic site catalyst, which is analyzed via full-range synchrotron pair distribution function. In electrochemical CO2 reduction, the catalyst features a synergistic mechanism with the double-atomic site activating two key molecules: operando spectroscopy confirms that the Te center activates CO2, and the Cu center helps to dissociate H2O. The experimental and theoretical results reveal that the TeN2–CuN3 could cooperatively lower the energy barriers for the rate-determining step, promoting proton transfer kinetics. Therefore, the TeN2–CuN3 displays a broad potential range with high CO selectivity, improved kinetics and good stability. This work presents synthesis and characterization strategies for double-atomic site catalysts, and experimentally unveils the underpinning mechanism of synergistic catalysis. Elucidating the synergistic catalytic mechanism involving multiple active centers is of great significance for heterogeneous catalysis. Here the authors construct an asymmetric TeN2–CuN3 double atomic site catalyst featuring synergistic CO2 activation and H2O dissociation for CO2 electroreduction. [ABSTRACT FROM AUTHOR]

Based on morphological observations and comparisons, a new species of Primulina (Gesneriaceae), P. arcuata G.L.Xu & L.Ding, is described and illustrated. This new species resembles P. jiulianshanensis in leaf blade shape, but differs from the latter by corolla tube curved-tubular (vs. funnelform); calyx lobes oblong (vs. lanceolate); peduncle, pedicel, both surfaces of bracts, both surfaces of bracteoles and abaxial surface of calyx lobes covered with glandular-puberulent hairs (vs. with eglandularpuberulent hairs). A detailed description, photographs, distribution information and a provisional conservation status assessment are provided. [ABSTRACT FROM AUTHOR]

Analysis of spatial patterns and driving factors of different ethnic villages under regional integration is important for the conservation and development of ethnic villages. This article takes seven multi-ethnic villages in the Dadu River Basin of Ganzi Prefecture as an example; we employ a quantitative model of spatial syntax based on the theory of figure–ground relationship to link the tangible and intangible spaces. The results reveal the logical context and formation mechanism among the overall layout, residential architecture, and public space of the villages. The findings of this study are as follows: (1) The site of different ethnic villages reflects commonality. (2) The spatial configurations of the villages are significantly influenced by the surrounding natural environment, with significant differences. Cluster-concentrated villages exhibit the smallest expansion trend, rich spatial levels, and strong ethnic territoriality; strip-intensive villages have the largest scale and the strongest permeability; and radiation-dispersion villages have variable expansion directions and architectural relationships among residents. (3) Both of the participants' selection behaviors and residential spaces constitute the internal structure for the ethnic culture, which is driven by the humanistic spirit and force of social order, making the spatial morphology a diversified and multi-layered characteristic. (4) The rural space has gradually changed from a single residential unit to a complex unit with multiple functions. The findings extend the scope of research to ethnic villages in watersheds and provide a theoretical and practical basis for the development of other similar rural villages. [ABSTRACT FROM AUTHOR]

Objective: To compare the clinical effect of arsenic-containing Qinghuang Powder (QHP) and low-intensity chemotherapy (LIC) in treatment of elderly acute myeloid leukemia (eAML) patients. Methods: Clinical data of 80 eAML patients treated at Xiyuan Hospital of China Academy of Chinese Medical Sciences from January 2015 to December 2020 were retrospectively analyzed. The treatment scheme was designed by real world study according to patients' preference, and patients were divided into a QHP group (35 cases) and a LIC group (45 cases). The median overall survival (mOS), 1-, 2-, and 3-year OS rates, and incidence of adverse events were compared between the two groups. Results: The mOS of 80 patients was 11 months, and the 1-, 2-, and 3-year OS rates were 45.51%, 17.96%, and 11.05%, respectively. The QHP and LIC groups demonstrated no significant difference in mOS (12 months vs. 10 months), 1- (48.57% vs. 39.65%), 2- (11.43% vs. 20.04%), and 3-year OS rates (5.71% vs. 13.27%, all P>0.05). Moreover, the related factors of mOS demonstrated no significant difference in patients with age>75 years (11 months vs. 8 months), secondary AML (11 months vs. 8 months), poor genetic prognosis (9 months vs. 7 months), Eastern Cooperative Oncology Group performance status score ⩾ 3 (10 months vs. 7 months) and hematopoietic stem cell transplant comorbidity index ⩾ 4 (11 months vs. 7 months) between the QHP and LIC groups (all P>0.05). However, the incidence of myelosuppression was significantly lower in the QHP group than that in the LIC group (28.57% vs. 73.33%, P<0.01). Conclusions: QHP and LIC had similar survival rates in eAML patients, but QHP had a lower myelosuppression incidence. Hence, QHP can be an alternative for eAML patients who do not tolerate LIC. [ABSTRACT FROM AUTHOR]

Sea surface winds and waves are very important phenomena that exist in the air–sea boundary layer. With the advent of climate change, cascade effects are bringing more attention to these phenomena as warmer sea surface temperatures bring about stronger winds, thereby altering global wave conditions. Synthetic aperture radar (SAR) is a powerful sensor for high-resolution surface wind and wave observations and has accumulated large quantities of data. Furthermore, deep learning methods have been increasingly utilized in geoscience, especially the inversion of ocean information from SAR imagery. Here, we propose a method to invert various parameters of ocean surface winds and waves using Sentinel-1 SAR IW mode data. To ensure this method is more robust and scalable, we augmented the input data with dual-polarized SAR imagery, an incident angle, and a more constrained homogeneity test. This method adopts a deeper structure in order to retrieve more wind and wave parameters, and the use of residual networks can accelerate training convergence and improve regression accuracy. Using 1600 training samples filtered by a novel homogeneity test and with significant wave heights between 0 and 10 m, results from error parameters including the root mean square error (RMSE), scatter index (SI), and correlation coefficient (COR) show the great performance of this proposed method. The RMSE is 0.45 m, 0.76 s, and 1.90 m/s for the significant wave height, mean wave period, and wind speed, respectively. Furthermore, the temporal variation and spatial distribution of the estimates are consistent with China–France Oceanography Satellite (CFOSAT) observations, buoy measurements, WaveWatch3 regional model data, and ERA5 reanalysis data. [ABSTRACT FROM AUTHOR]

It has been reported that the subtropical South Indian Ocean (SIO) has been rapidly warming over the past two decades and can therefore be characterized as one of the major heat accumulators among the oceanic basins. However, this strong warming is not uniformly distributed in the vertical direction. In comparison to the decade‐long warming in the upper layer (0–300 m) in 2004–2013, the intermediate layer (300–1,000 m) displays a shorter warming during 2004–2009 and an intense cooling during 2010–2016. By decomposing temperature variations into heaving and spice components, and performing a heat budget analysis, we show that temperature variations in the intermediate layer during these two periods are primarily contributed by isopycnal migrations driven by local wind forcing. Local wind change in the subtropical SIO can be explained by the Indian Ocean Dipole and El Niño–Southern Oscillation during 2004–2016, while Southern Annular Mode (SAM) favors anomalous wind change in mid‐latitudes and the formation of basin‐wide wind change in the SIO. Additionally, wind forcing in the Subantarctic Mode Water (SAMW) formation region, which is closely linked to the SAM, modulates the anomalous spreading of SAMW into the interior of the subtropical SIO. This, therefore, leads to the SAMW intrusion being of secondary importance to the quasi‐decadal temperature variability. Our findings demonstrate the independence of wind‐driven temperature changes on the quasi‐decadal scale in the intermediate layer of the subtropical SIO under the overall warming background of SIO waters. Plain Language Summary: Compared to the decade‐long warming in the upper layer of the South Indian Ocean (SIO), which has been studied extensively, our understanding of temperature change in the intermediate layer is relatively limited. This study reveals a quasi‐decadal temperature cycle in the intermediate layer of the subtropical SIO during the Argo period, which is characterized by a shorter warming period during 2004–2009 and subsequent cooling during 2010–2016. Decomposition of temperature changes suggests that this quasi‐decadal temperature variability is primarily driven by the heaving component, which is tightly associated with local wind variability driven by local and remote forcings, whereas the spice change largely contributed by the SAM‐related water mass transmission from higher latitudes, is of secondary importance. Thus, this study expands our knowledge of temperature variability in the SIO and demonstrates that the quasi‐decadal variability of intermediate layer temperatures in the subtropical SIO serves as a crucial archive for both global and local climate change. Key Points: Quasi‐decadal temperature variations occur in the intermediate layer (300–1,000 m) of subtropical South Indian Ocean (SIO)Local wind‐driven heaving process is the major driver, spice component arising from the Subantarctic Mode Water intrusion is of secondary importanceThe local wind change in the subtropical SIO can be well explained by the combined effects of El Niño–Southern Oscillation, Indian Ocean Dipole and Southern Annular Mode [ABSTRACT FROM AUTHOR]

With the rapid development of science and technology and the continuous progress of society, water resource sustainability has attracted much attention. The assessment process of water resource sustainability has become a hot topic. Because professional models cannot ensure the accuracy of evaluation results, expert judgment techniques are used to perform the assessment process. Meanwhile, to eliminate the biases and consider people's cognitive processes in complex decision making, this study utilizes a large group of experts to evaluate the sustainability of water resources, which is called a large-scale group water resource sustainability assessment (LGWRSA). This study proposes the double-level linguistic preference relation (DLLPR) to enable experts to present more reasonable and intuitive linguistic opinions. Based on the DLLPR, this study presents a clustering method, a weighting method, and a comprehensive adjustment factor determination method. To prevent minority opinions and non-cooperative behaviors from interfering with the decision-making process and to make the decision-making process develop in an accurate and objective direction, a consensus model is developed to modify minority opinions and suggestions and manage non-cooperative behaviors. After a sufficient number of experts reach a consensus through the method proposed in this article, a more accurate evaluation result can be obtained. Finally, an actual LGWRSA problem is established to derive water resource sustainability expectations for four provinces, which validates the effectiveness of the proposed method. A comparative analysis is performed to illustrate the benefits of these methods and present their shortcomings. [ABSTRACT FROM AUTHOR]

Oxygen evolution reaction (OER) is of crucial importance to sustainable energy and environmental engineering, and layered double hydroxides (LDHs) are among the most active catalysts for OER in alkaline conditions, but the reaction mechanism for OER on LDHs remains controversial. Distinctive types of reaction mechanisms have been proposed for the O-O coupling in OER, yet they compose a coupled reaction network with competing kinetics dependent on applied potentials. Herein, we combine grand-canonical methods and micro-kinetic modeling to unravel that the nature of dominant mechanism for OER on LDHs transitions among distinctive types as a function of applied potential, and this arises from the interplay among applied potential and competing kinetics in the coupled reaction network. The theory-predicted overpotentials, Tafel slopes, and findings are in agreement with the observations of experiments including isotope labelling. Thus, we establish a computational methodology to identify and elucidate the potential-dependent mechanisms for electrochemical reactions. The mechanisms for oxygen evolution reaction on layered double hydroxides remain controversial. Here, the authors use a computational methodology by combining grand-canonical methods and microkinetic modeling to unravel the potential-dependent transitions mechanisms for electrochemical reactions. [ABSTRACT FROM AUTHOR]

The HISEA-1 synthetic aperture radar (SAR) minisatellite has been orbiting for over two years since its launch in 2020, acquiring numerous high-resolution images independent of weather and daylight. A typical and important application is the observation of ocean waves, essential ocean dynamical phenomena. Here, we proposed a new semi-automatic empirical method to retrieve ocean wave parameters from HISEA-1 images. We first applied some automated processing methods to remove non-wave information and artifacts, which largely improves the efficiency and robustness. Then, we developed an empirical model to retrieve significant wave height (SWH) by considering the dependence of SWH on azimuth cut-off, wind speed, and information extracted from the cross-spectrum. Comparisons with the Wavewatch III (WW3) data show that the performance of the proposed model significantly improved compared to the previous semi-empirical model; the root mean square error, correlation, and scattering index are 0.45 m (0.63 m), 0.87 (0.75), and 18% (26%), respectively. Our results are also consistent well with those from the altimeter measurements. Further case studies show that this new ocean wave model is reliable even under typhoon conditions. This work first provides accurate ocean-wave products from HISEA-1 SAR data and demonstrates its ability to perform high-resolution observation of coasts and oceans. [ABSTRACT FROM AUTHOR]

The main purpose of this study was to reveal the nutritional value and antioxidant activity of 34 edible flowers that grew in Yunnan Province, China, through a comprehensive assessment of their nutritional composition and antioxidant indices. The results showed that sample A3 of Asteraceae flowers had the highest total flavonoid content, with a value of 8.53%, and the maximum contents of vitamin C and reducing sugars were from Rosaceae sample R1 and Gentianaceae sample G3, with values of 143.80 mg/100 g and 7.82%, respectively. Samples R2 and R3 of Rosaceae were the top two flowers in terms of comprehensive nutritional quality. In addition, the antioxidant capacity of Rosaceae samples was evidently better than that of three others, in which Sample R1 had the maximum values in hydroxyl radical (·OH) scavenging and superoxide anion radical (·O2−) scavenging rates, and samples R2 and R3 showed a high total antioxidant capacity and 2,2-diphenyl-1-pyridylhydrazine (DPPH) scavenging rate, respectively. Taken together, there were significant differences in the nutrient contents and antioxidant properties of these 34 flowers, and the comprehensive quality of Rosaceae samples was generally better than the other three families. This study provides references for 34 edible flowers to be used as dietary supplements and important sources of natural antioxidants. [ABSTRACT FROM AUTHOR]

Background: Neuroinflammation and microglia play critical roles in the development of depression. Cluster of differentiation 200 (CD200) is an anti-inflammatory glycoprotein that is mainly expressed in neurons, and its receptor CD200R1 is primarily in microglia. Although the CD200–CD200R1 pathway is necessary for microglial activation, its role in the pathophysiology of depression remains unknown. Methods: The chronic social defeat stress (CSDS) with behavioral tests were performed to investigate the effect of CD200 on the depressive-like behaviors. Viral vectors were used to overexpress or knockdown of CD200. The levels of CD200 and inflammatory cytokines were tested with molecular biological techniques. The status of microglia, the expression of BDNF and neurogenesis were detected with immunofluorescence imaging. Results: We found that the expression of CD200 was decreased in the dentate gyrus (DG) region of mice experienced CSDS. Overexpression of CD200 alleviated the depressive-like behaviors of stressed mice and inhibition of CD200 facilitated the susceptibility to stress. When CD200R1 receptors on microglia were knocked down, CD200 was unable to exert its role in alleviating depressive-like behavior. Microglia in the DG brain region were morphologically activated after exposure to CSDS. In contrast, exogenous administration of CD200 inhibited microglia hyperactivation, alleviated neuroinflammatory response in hippocampus, and increased the expression of BDNF, which in turn ameliorated adult hippocampal neurogenesis impairment in the DG induced by CSDS. Conclusions: Taken together, these results suggest that CD200-mediated alleviation of microglia hyperactivation contributes to the antidepressant effect of neurogenesis in dentate gyrus in mice. [ABSTRACT FROM AUTHOR]

In this work, we study the weak decay between two heavy baryons B i (1 2 +) → B f (3 2 +) in the light-front quark model where three-quark picture is employed for baryon. We derive general form of transition amplitude of B i (1 2 +) → B f (3 2 +) , and analyze two specific cases of transitions: the weak decays of single heavy baryon Σ b → Σ c ∗ and the decays of double-charmed baryon Ξ cc → Σ c ∗ (Ξ c ∗) . We compute the hadronic form factors for the transitions and apply them to study the decay widths of the semi-leptonic B i (1 2 +) → B f (3 2 +) l ν ¯ l and non-leptonic B i (1 2 +) → B f (3 2 +) M . Previously we studied the transition Σ b → Σ c ∗ with the quark–diquark picture of baryon in the light-front quark model. Here we revisit this transition with three-quark picture of baryon. At the quark level, the transition Σ b → Σ c ∗ is induced by the b → c transition.The subsystem of the two unchanged light quarks which possesses definite and same spin in initial and final state can be viewed as a spectator, so the spectator approximation can be applied directly. For the weak decay of doubly charmed baryon Ξ cc , a c quark decays to a light quark q 1 , so both the initial state cc and final state q 1 q 2 ( q 1 and the original q 2 in initial state may be the same flavor quarks) which possess definite spin are no longer spectators. A rearrangement of quarks for initial and final states is adopted to isolate the unchanged subsystem c q 2 which can be viewed as the spectator approximately. Future measurements on these channels will constrain the nonperturbative parameter in the wavefunctions and test the model predictions. [ABSTRACT FROM AUTHOR]

A first principle calculation is performed on Ce3Al by means of density functional theory combined with dynamical mean‐field theory. We find that j = 5/2, j = 7/2 components are in the metallic and insulating regimes, respectively. Itinerant 4f electrons result in the so‐called virtual charge fluctuations in the context of Kondo model with an average occupancy number of 4f electrons about 1.0. Finally, the so‐called quasiparticle band structure is also discussed for comparison with experimental angle‐resolved photoemission spectrum. [ABSTRACT FROM AUTHOR]