AbstractOn 21 June 2022, during the annual Geospace Environment Modeling (GEM) workshop, a panel discussion titled “Radiation Belt Loss: The Long‐Standing Debate Part II” was organized by the focus group “System Understanding of Radiation Belt Particle Dynamics.” The panel focused on unresolved questions regarding the mechanisms driving electron loss in Earth's radiation belts, discussing topics including magnetopause shadowing, outward radial transport, and wave‐particle interactions driving particle precipitation. In this commentary, we provide an overview of the outcomes of this discussion and highlight future needs to better resolve outstanding questions.

• Book : 12(2)
• Pub. Date : 2025
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• Book : 607()
• Pub. Date : 2025
• Page : pp.155657-155657
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In this study, we first analyzed data from 147 patients with solitary plasmacytomas treated at the Mayo Clinic between 2005 and 2022 and then expanded our investigation through a systematic review and meta-analysis of 62 studies, encompassing 3,487 patients from the years 1960 to 2022. Our findings reveal that patients with up to 10% clonal plasma cells in their bone marrow (BM), denoted as plasmacytoma +, had a significantly reduced median disease-free survival (DFS) of 15.7 months vs. 79 months, p<0.05, observed in patients with true solitary plasmacytomas, with no clonal cells in the BM. Risk factors identified for shorter DFS included the presence of clonal plasma cells in the marrow and a DFLC > 5 mg/dl. The meta-analysis portion of our study highlighted a male predominance among patients, with a median age of 58, and confirmed radiation therapy as the predominant treatment modality. We also found that DFS rates at 3, 5, and 10 years were 66.9%, 55%, and 42.1%, respectively, and noted a significant difference in outcomes between patients with bone and extramedullary plasmacytomas, with the latter group exhibiting better survival rates. This dual-faceted approach provides a thorough overview of survival rates and critical risk factors for plasmacytoma patients, underscoring the vital role of accurate disease staging at diagnosis and the impact of tumor location on patient prognosis.

• Book : ()
• Pub. Date : 2025
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Abstract We present a 19.7–214 μm imaging atlas of local (4–181 Mpc; median 43 Mpc) active galactic nuclei (AGN) observed with FORCAST and HAWC+ on board the SOFIA telescope with angular resolutions ~3″–20″. This atlas comprises 22 Seyferts (17 Type 2 and five Type 1) with a total of 69 images, 41 of which have not been previously published. The AGN span a range of luminosities of log 10 ( L bol [ erg s - 1 ] ) = [ 42 , 46 ] with a median of log 10 ( L bol [ erg s − 1 ] ) = 44.1 ± 1.0 . We provide the total fluxes of our sample using aperture photometry for point-source objects and a 2D Gaussian fitting for objects with extended host galaxy emission, which was used to estimate the unresolved nuclear component. Most galaxies in our sample are pointlike sources; however, four sources (Centaurus A, Circinus, NGC 1068, and NGC 4388) show extended emission in all wavelengths. The 30–40 μm extended emission in NGC 4388 is coincident with the narrow-line region at PA ~ 50°, while the dusty extension at longer wavelengths arises from the host galaxy at PA ~ 90°. Our new observations allow us to construct the best-sampled parsec-scales (spectral energy distributions, SEDs) available between 30 and 500 μm for a sample of nearby AGN. We estimate that the average peak wavelength of the nuclear SEDs is ~40 μm in νF ν , which we associate with an unresolved extended dusty region heated by the AGN.

• Book : 276(2)
• Pub. Date : 2025
• Page : pp.64-64
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Incomplete cuts during laser fusion cutting result in a closed kerf, preventing the workpiece from detaching from the sheet and resulting in rework or rejection. We demonstrate the approach of a vision transformer, used for image classification, to detect cut interruption during laser fusion cutting in steel and aluminum. With events impending an incomplete cut in steel, we attempt to predict cut interruption before they even occur. To build a data set for training, cutting experiments are carried out with a 4 kW fiber laser, forcing incomplete cuts by varying the process parameters such as laser power and feed rate. The thermal radiation from the process zone during the cutting process is captured with a size of 256 × 256 px2 at sample rates of 20 × 103 fps. The kerf is recorded with a spectral sensitivity between 400 and 700 nm, without external illumination, which enables the melt to be observed in the range of the visual spectrum. The vision transformer model, which is used for image classification, splits the image into patches, linearly embedded with an added position embedding, and fed to a standard transformer encoder. For training the model, a set of images was labeled for the respective classes of a complete, incomplete, and impending incomplete cut. With the trained model, incomplete cuts in steel and aluminum can then be recognized and impending incomplete cuts in steel can be predicted in advance.

• Book : 37(1)
• Pub. Date : 2025
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• Book : ()
• Pub. Date : 2025
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• Book : ()
• Pub. Date : 2025
• Page : pp.101730-101730
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Abstract The Amazon, the world's largest tropical forest, plays a critical role in the global carbon cycle. It has a large carbon pool and acts as a major carbon sink. However, in 2023–2024, a compound heatwave-drought event (HD2023) hit the Amazon region, resulting in extreme temperatures and soil moisture deficits, threatening the region's carbon sink capacity. Using advanced multisource satellite data and meteorological reanalysis, we quantified the impact of various climatic factors on vegetation productivity during HD2023 and analyzed its progression. Our findings showed that HD2023 led to a 530 Tg C decline in gross primary productivity and 0.003 reduction in near-infrared reflectance of vegetation. The strongest phase of the event spanned five months, causing persistently high temperatures and reduced precipitation, leading to a continuous decline in soil moisture and marked reduction in gross primary productivity. The most severe decrease in gross primary productivity occurred in January2024. The event originated in the northwest and gradually spread to the southeast. Soil moisture was the dominant factor in the decline of photosynthesis across vegetation types, whereas high solar radiation mitigated the impact of drought in evergreen broad forests and savannas. Moreover, the sensitivity of gross primary productivity to compound heatwave-drought varied across vegetation types, ranking as grassland > savanna > evergreen broad forest. This study assessed the impact of HD2023 on regional carbon flux in the Amazon. As climate projections indicate future increases in climate extremes over the Amazon, it is important to identify the drivers of this impact on the carbon cycle of the Amazon.

• Book : ()
• Pub. Date : 2025
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• Book : 52()
• Pub. Date : 2025
• Page : pp.100928-100928
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Objective: This study aimed to evaluate bone remodeling in gingival crevicular fluid (GCF) during canine distalization in obese individuals and compare it to that in normal-weight individuals. Additionally, the orthodontic tooth movement rates of obese individuals were measured and compared with those of normalweight individuals. Methods: Thirty-six patients (18 obese and 18 normalweight) aged 12–18 years who were candidates for maxillary first premolar extraction for Angle Class II malocclusion were included in the study. The two groups were formed according to World Health Organization guidelines. A normal-weight group (body mass index [BMI] 16–85%) and an obese group (BMI ≥ 95%). Gingival crevicular fluid samples were collected before, 24 hours after, and on the 7th, 14th, and 21st days after the application of the distalization force. Enzyme-linked immunosorbent assay was used to measure leptin, receptor activator of nuclear factor kappa-Β ligand (RANKL), osteoprotegerin (OPG) and interleukin-6 (IL-6) levels in GCF samples. In addition to the recorded GCF sampling times, the amount of canine tooth movement was calculated using digital models obtained on the 28th day and 3rd month. Results: Leptin, RANKL, OPG, and IL-6 levels were significantly higher in the obese group (P < 0.05). The digital model measurements displayed high rates of repeatability (ICC 0.990). The difference in the amount of tooth movement between groups was not statistically significant (P > 0.05). Conclusions: Although obese and normal-weight individuals showed different biomarker levels during tooth movement, there were no significant differences in the amount of movement.

• Book : 55(1)
• Pub. Date : 2025
• Page : pp.3-14
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