Landslides are a type of sudden and highly destructive geological hazard. Traditional detection methods often suffer from delayed response and low efficiency. In recent years, deep learning-based object detection techniques have attracted increasing attention in disaster recognition tasks, particularly transformer-based detection models, which exhibit significant advantages in global feature modeling. However, landslide targets in remote sensing imagery often present challenges such as large-scale variation, blurred boundaries, and texture interference. To address these issues, this study proposes an improved detection algorithm based on the RT-DETR-r18 framework by integrating multiple specialized modules. First, the DDC3 module is designed to enhance the recognition of fine boundaries and local textures, thereby improving the feature extraction capacity of the backbone network. Second, an Efficient Additive Attention (EAA) mechanism is introduced to suppress redundant information and strengthen the model's focus on critical regions, improving detection precision. Finally, the CGAFusion module is employed, which utilizes a triple-attention strategy to collaboratively regulate feature weights. This module enhances the model’s ability to filter salient features while preserving global contextual information, leading to more accurate landslide edge detection. A dual-class dataset comprising landslides and storms is constructed from multi-source imagery for evaluation. The experimental results show that the proposed method outperforms existing models in several dimensions including mAP@0.5 and F1 score, demonstrating strong detection accuracy. Code is available at https://github.com/sanyauChenCoder/Landslide_02.git.

With the application of a four-tip Langmuir probe, the anomalous transport contributed by the turbulence and its impact on particle decay length in the scrape-off layer (SOL) has been studied on HL-2A tokamak. A high-frequency electromagnetic mode (HFM, 100 kHz < f _HFM < 400 kHz) is reported, which can both be observed in the pedestal region and the SOL during the type-III ELMy H-mode discharge. In SOL, the HFM propagates in the electron diamagnetic direction in both the laboratory frame (22 km s ⁻¹ ) and plasma frame (24 km s ⁻¹ ) with m ≃ 28, n ∼ 8 and k _θ ρ _i ∼ 0.04. Direct measurement shows that the HFM can drive inward particle flux, which can be explained by the electron diamagnetic rotation of the HFM. The time evolutions of particle flux driven by the low frequency turbulence (LFT, ‘blobby’ structures) and the HFM as well as the typical decay length of divertor particle flux suggest that the decay length in SOL can both be modified by the outward particle transport of the ‘blobby’ structures (Γ _{r ,LFT} , <40 kHz) and inward particle transport by the HFM (Γ _{r ,HFM} ). The decay length of the particle flux is mostly suppressed when a significant inward flux by the HFM bursts under the condition of a low-level outward flux by ‘blobby’ events, suggesting the important role of anomalous transport on the decay length in the SOL.

Let u be a weak solution to the degenerate subelliptic p-Laplacian equation $$ \Delta_{\mathcal{H},p}u(x)=\sum_{i=1}^6 X_i(|\nabla_{\mathcal{H}}u |^{p-2}X_iu)=0, $$ where \(\mathcal{H}\) is the orthogonal complement of a Cartan subalgebra in SU(3) and its orthonormal basis is composed of the vector fields \(X_1,\ldots, X_6\). We prove that when \(1<p<7/2\), the solution u has the second order horizontal Sobolev \(W^{2,2}_{\mathcal{H},\rm loc}\)-regularity. For more information see https://ejde.math.txstate.edu/Volumes/2022/27/abstr.html

To investigate the influence of medical nutrition therapy (MNT) on borderline glucose intolerance (BGI) in pregnant Taiwanese women. A total of 5194 singleton pregnant women were enrolled in this prospective, non-randomized study. The participants were subjected to the 50 g 1-h glucose challenge test (GCT) and 100 g 3-h oral glucose tolerance test (OGTT) to screening gestational diabetes mellitus (GDM). BGI was defined as a positive GCT and normal OGTT results. GDM was defined as a positive GCT and abnormal OGTT results. The women were categorized into the following groups: (1) GCT-negative, n = 3881; (2) BGI with MNT, n = 273; (3) BGI without MNT, n = 712; and (4) GDM, n = 328. Multiple logistic analyses were used to estimate the risks of pregnancy outcomes. The odds ratios (95% confidence interval) for total cesareans, third- or fourth-degree perineal lacerations, gestational hypertension or preeclampsia and macrosomia were 1.24 (1.04-1.49), 1.55 (1.06-1.28), 1.78 (1.21-2.61) and 2.50 (1.28-4.91) in the BGI without MNT group compared to the GCT-negative group. There was no difference between BGI with MNT and GCT-negative groups. Women with BGI who did not receive MNT had increased risks of adverse pregnancy outcomes, whereas who received MNT had no different risk with GCT-negative women.

When $2-1/Q<p\le 2$, we establish the $C_{\mathrm{loc}}^{0,1}$ and $C_{\mathrm{loc}}^{1,\alpha }$-regularities of weak solutions to quasi-linear p-Laplacian type non-homogeneous equations in the Heisenberg group ${\mathbb{H}}^n$, where $Q=2n+2$ is the homogeneous dimension of ${\mathbb{H}}^n$.

In this paper, we establish a structural inequality of the ∞-subLaplacian ${▵}_{0,\infty }$ in a class of the semi-simple Lie group endowed with the horizontal vector fields $X_1,\dots ,X_{2n}$. When $1<p\le 4$ with $n=1$ and $1<p<3+\frac{1}{n-1}$ with $n\ge 2$, we apply the structural inequality to obtain the local horizontal $W^{2,2}$-regularity of weak solutions to p-Laplacian equation in the semi-simple Lie group. Compared to Euclidean spaces ${\mathbb{R}}^{2n}$ with $n\ge 2$, the range of this p obtained is already optimal.