Search Results (3,809)

Potato (Solanum tuberosum L.) is the world’s fourth-largest staple crop. Alkaline salt stress is a major abiotic stress factor that severely limits the growth, yield, and quality of potatoes; however, little is known about the molecular basis of potatoes’ response to alkaline salt stress or the stress-alleviation mechanism mediated by 24-epibrassinoside. In this study, we conducted a genome-wide identification of the potato miR482 family and analyzed its response patterns under alkaline salt stress and 24-epibrassinoside-mediated stress relief. We identified a total of 9 mature stu-miR482 sequences and 5 precursor sequences; all precursors form typical stable hairpin structures and exhibit high evolutionary conservation among Solanaceae plants. Promoter analysis revealed multiple cis-acting elements in the promoter region associated with light signaling, plant hormones, and stress signaling. A total of 64 potential target genes were predicted, encompassing transcription factors, disease resistance, and signal transduction-related genes, forming a complex regulatory network. Phenotypic analysis confirmed that EBR significantly alleviates the growth inhibition in potatoes induced by alkaline salt stress. qRT-PCR analysis indicated that stu-miR482a-5p is the primary stress-responsive member in leaves; stu-miR482d-3p/5p exhibited the strongest regulatory response to EBR in roots; in potato stolons, all members of the miR482 family were significantly upregulated under alkaline salt stress, with stu-miR482d-5p showing extremely significant upregulation across all treatment groups. In summary, this study represents the first systematic characterization of the potato miR482 family, revealing its tissue differential functions in alkaline salt stress and EBR-mediated stress relief. Full article

Background/Objectives: Leukocyte telomere length (TL) is a marker of biological aging associated with cardiovascular disease, chronic kidney disease, and malignancy in the general population. Its long-term prognostic significance in systemic lupus erythematosus (SLE) remains unclear. We aimed to evaluate the association between baseline TL and long-term clinical outcomes in patients with SLE. Methods: Prospective cohort study including 97 Caucasian women with SLE. Relative TL was measured in whole blood using quantitative polymerase chain reaction (qPCR) at baseline. A control group of 50 healthy Caucasian women from the same geographical region was included for comparison. Patients were followed for a mean of 9.7 ± 2.8 years. Outcomes included thrombotic cardiovascular events, damage accrual, incident malignancy, and chronic kidney disease. Associations were assessed using multivariable regression models adjusted for potential confounders. Results: Mean age was 51.6 ± 13.8 years and mean relative TL was 4.3 ± 1.0. Relative TL was inversely associated with age (β = −0.20, p = 0.048) and was shorter in patients with hematological manifestations (p = 0.038). No differences in relative TL were observed between SLE patients and controls. Relative TL was not associated with disease activity, cumulative damage, cardiovascular risk factors, vitamin D levels, or subclinical atherosclerosis. During follow-up, 13.4% of patients experienced cardiovascular events, 10.3% developed malignancy, and 11.3% developed chronic kidney disease. Relative TL was initially associated with long-term damage accrual, glomerular filtration rate and cardiovascular events; however, after adjustment for age, only the association with glomerular filtration rate remained at the limit of statistical significance (p = 0.05). Conclusions: In this prospective cohort, relative TL was primarily associated with aging, hematological manifestations, and glomerular filtration rate, but not with disease activity or most long-term clinical outcomes. These findings suggest that TL reflects biological aging rather than disease-specific processes and has limited utility as a prognostic biomarker in SLE. Full article

Splicing factor 3b1 (SF3B1), a component of U2 small nuclear ribonucleoprotein (U2 snRNP), has been known for its essential roles in pre-mRNA splicing and alternative splicing. Here we show that knocking down (KD) of SF3B1 broadly induced a significant reduction in mRNA expression in the genome. One of the genes whose expression is reduced by SF3B1 KD is methyl-transferase-like 3 (METTL3), a writer of N6-methyladenosine (m⁶A). We demonstrate that expression of both METTL3 mRNA and protein is affected by SF3B1 KD, which further decreases the m⁶A RNA expression level. m⁶A-seq indicates that SF3B1 KD affects m⁶A distribution within multiple genes in the genome. In addition, a high proportion of hypo-methylation events by SF3B1 KD (~70%) are overlapped in METTL3 KD cells, and a conserved m⁶A motif is observed in the hypo-methylated regions as in SF3B1 KD cells, suggesting the m⁶A decrease by SF3B1 is a direct effect of the reduced METTL3 expression. Furthermore, RT-qPCR using unlabeled RNA and 5-Bromouridine (BrU)-labeled nascent RNA and actinomycin D treatment demonstrates that transcription of METTL3 is significantly reduced but the mRNA decay rate is not altered, suggesting that METTL3 expression is altered at the transcription level. We further show that SF3B1 interacts with RNA polymerase (Pol) II in the RNA independent manner, further indicating the involvement of SF3B1 in transcription. Lastly, we demonstrate that the transcription inactive H3K27me3 on the METTL3 promoter was significantly increased whereas transcription active H3K4me3 was not changed by SF3B1 KD. Taken together, we conclude that reduced SF3B1 expression suppresses the transcription of METTL3 and inhibits m⁶A RNA expression. Full article

Symmetrical resistance training induces corticospinal and cortical network plasticity; however, the neural consequences of asymmetrical resistance training (offset loading or OL) remain unclear. In this preliminary study, fourteen healthy adults completed eighteen supervised upper-extremity training sessions over a 6-week intervention period. Participants were allocated to either an offset loading (OL) intervention group (n = 8) or a conventional symmetrical resistance training active control group (AC; n = 6). Electroencephalography (EEG) recordings were acquired during motor task performance at baseline, 3 weeks, and 6 weeks. Directed functional connectivity among predefined cortical regions was quantified, and longitudinal changes were assessed using Friedman tests with false-discovery-rate correction for multiple comparisons. Significant changes in the OL group were observed involving two cortical pathways after correction for multiple testing. Connectivity from the right parietal cortex to the right sensorimotor cortex increased over time (Friedman χ² = 8.00, q = 0.037), with post hoc analyses showing a significant increase between the midpoint and post-training assessments (q = 0.047; effect size r = 0.894). No significant longitudinal changes in cortical connectivity were identified in the AC group. Six weeks of OL training was associated with selective strengthening of directed connectivity within prefrontal-to-sensorimotor and parietal-to-sensorimotor cortical pathways. In contrast, conventional symmetrical resistance training was not associated with detectable changes in connectivity. These findings suggest that asymmetrical loading may induce task-specific reorganization of cortical networks involved in sensorimotor processing and motor control. Full article

Siziwang Banner in Inner Mongolia is a typical arid and semi-arid grassland region where ecological environmental quality is highly sensitive to climate variability and land use and land cover change (LULCC). Clarifying the long-term coupling relationship between LULCC and ecological environmental quality is essential for regional ecological protection and sustainable land management. Based on the Google Earth Engine (GEE) platform, this study integrated multi-temporal Landsat imagery and CLCD-based land use datasets, including an updated 2024 land use layer, to construct a Remote Sensing Ecological Index (RSEI) using standardized and direction-corrected principal component analysis. land use transition matrix analysis, spatial autocorrelation analysis, ecological contribution rate calculation, and GeoDetector were further applied to reveal the spatiotemporal evolution patterns, ecological effects, and driving mechanisms of LULCC in Siziwang Banner from 2000 to 2024. The results showed that: (1) grassland was consistently the dominant land use type, accounting for more than 90% of the total area. The overall land use pattern was characterized by stable grassland dominance, decreasing farmland and unused land, and slight increases in grassland and construction land; forestland showed a high relative growth rate but remained very small in absolute area. (2) The regional ecological environmental quality remained at a lower-to-medium level, with mean RSEI values ranging from 0.27 to 0.47. RSEI showed a phased pattern of initial improvement, subsequent decline, and partial recovery; the marked decline around 2015 was associated with the combined effects of drought stress and land use degradation rather than a single driving factor. RSEI exhibited significant positive spatial autocorrelation, with Moran’s I values ranging from 0.898 to 0.993. High-value clusters were mainly distributed in the southern region, whereas low-value clusters were concentrated in the central and northern regions. (3) Different land use transitions produced differentiated ecological effects. The conversion of unused land to grassland contributed positively to ecological restoration, while grassland degradation and construction land expansion exerted negative effects. The positive RSEI response of some grassland-to-farmland transitions should be interpreted cautiously in relation to local irrigation and intensive farmland management. (4) GeoDetector results indicated that land use type and DEM were the dominant factors controlling the spatial differentiation of RSEI, with average q values of 0.7188 and 0.6178, respectively. The interaction between DEM and land use type showed the strongest explanatory power, indicating that ecological quality was jointly shaped by land use structure and natural background conditions. This study provides a scientific basis for grassland protection, unused-land restoration, farmland management, and spatially differentiated ecological restoration in Siziwang Banner and similar ecologically fragile arid and semi-arid grassland regions. Full article

Understanding the structural characteristics of Pinus taiwanensis plantations in climatically transitional regions is essential for developing science-based management strategies under global change. This study investigated 23 plots in Huangbai Mountain Forest Farm, Henan Province, China, classified into low-, medium-, and high-density stands (n = 9, 9, and 5, respectively). Diameter distributions were fitted using six probability functions, and four spatial structure parameters—mixing degree (Mc), size ratio (U), uniform angle index (W), and forest layer index (S)—were quantified. In addition, five comprehensive spatial structure indices—average superiority coefficient index (SPV), spatial structure comprehensive index (Q), stand spatial structure distance index (FSI), Comprehensive Distance Evaluation (CDEV), and Comprehensive Assessment of Proximity Vector (CAPV)—were constructed using a combined analytic hierarchy process and entropy weight method. Given the unbalanced sample sizes, non-parametric Kruskal–Wallis tests were employed for comparisons, and bootstrap resampling (1000 iterations) was performed to assess the reliability of mean estimates. The results showed that both the Gamma and Weibull distributions were equally suitable for describing diameter distribution under different stand densities, as their AIC differences were below 2 for all density classes. Correlation analysis indicated that the relative importance of spatial parameters followed the order S > U > Mc > W. Medium-density stands exhibited the most optimal spatial structure, whereas low-density stands showed the poorest performance. These findings suggest that both overly dense and sparse stands negatively affect spatial organization. Appropriate management practices, such as thinning or enrichment planting, are recommended to optimize stand structure and enhance ecological resilience. Full article

Natural saline–alkaline soils are widespread in Central Asia, yet microbial responses to salinity gradients and ionic composition remain poorly resolved. We profiled bacterial communities (16S rRNA V3–V4, Illumina MiSeq) in 20 topsoil (0–20 cm) samples from four regions of Kazakhstan spanning non-saline to highly saline conditions. Soil chemistry included pH, total mineralization (dry residue), and major ions (Na⁺, Cl⁻, SO₄²⁻, HCO₃⁻, Ca²⁺, Mg²⁺, K⁺). Alpha (Chao1, Shannon, observed ASVs) and beta diversity (Bray–Curtis; ANOSIM; PCoA) were evaluated across salinity classes. Soils were alkaline (pH 7.91–10.47) and covered a broad salinity range (256–26,312 mg/L), driven mainly by Na⁺ with chloride and/or sulfate. Alpha diversity remained stable across salinity classes, though dispersion increased under high salinity. Community composition differed significantly among classes (ANOSIM R = 0.428, p = 0.005), with partial PCoA separation and overlap, indicating gradual turnover along the salinity gradient. In contrast, fungal communities showed no significant response to salinity, with stable alpha and beta diversity across all samples and consistent dominance of Ascomycota. Communities were dominated by Actinomycetota (formerly Actinobacteriota), Bacteroidota, and Pseudomonadota (formerly Proteobacteria). Bacteroidota increased in highly saline soils (FDR q = 0.036), whereas Acidobacteriota decreased (FDR q = 0.052). Thermodesulfobacteriota (formerly Desulfobacterota) correlated positively with sulfate, and Cyanobacteriota negatively with chloride. Overall, Kazakhstan’s saline–alkaline soils show stable bacterial alpha diversity but moderate, ion-linked compositional shifts with enrichment of halotolerant taxa. Full article

Glioblastoma (GBM) is an extremely invasive and incurable tumor. We previously reported predominant ALDH1A3 expression at the invasive front of GBM tumors, which was associated with shorter patient survival, and further showed that ALDH1A3 promoted tumor angiogenesis involving plasminogen activator inhibitor-1 (PAI-1). Here, we investigated whether ALDH1A3 drives cell invasion through retinoic acid (RA) and PAI-1 signaling. Analysis of the TCGA-GBM dataset revealed a positive association between ALDH1A3 and PAI-1 (SERPINE1) expression. Overexpression of ALDH1A3 in GBM cells markedly increased PAI-1 mRNA and protein levels, with cellular colocalization of both proteins, accompanied by robust migration and invasion. These effects were reversed by treatment with a pan-RA receptor (RAR) antagonist AGN193109 (AGN), with a specific PAI-1 inhibitor tiplaxtinin (Tip) or by CRISPR/Cas9-mediated knockout of PAI-1. In a chick chorioallantoic membrane (CAM) model, ALDH1A3-overexpressing cells showed increased invasion, which was reduced by tiplaxtinin (Tip) treatment or PAI-1 knockout. Mechanistically, ChIP-qPCR demonstrated that RA treatment or ALDH1A3 overexpression increased RARα occupancy at the PAI-1 regulatory region, accompanied by increased PAI-1 expression, both of which were diminished by AGN. Collectively, the present study defines an ALDH1A3-RA-PAI-1 signaling axis that contributes to GBM cell motility and invasion. Full article

Background: Pathogenic BRCA1 and BRCA2 mutations confer a homologous recombination deficiency that underlies PARP inhibitor sensitivity. While BRCA1 mutation carriers more frequently develop triple-negative breast cancer (TNBC) and BRCA2 carriers hormone receptor-positive (HR+) disease, whether the specific protein domain harboring a pathogenic somatic mutation differs systematically between breast cancer subtypes remains uncertain. Apparent domain enrichment in earlier unfiltered analyses may be confounded by missense variants of uncertain significance (VUSs), which lack clinical actionability. Methods: We assembled three independent breast cancer cohorts via cBioPortal: TCGA-BRCA (brca_tcga_pub2015), METABRIC (brca_metabric), and MSK-CHORD (msk_chord_2024). All somatic BRCA1/2 mutations were mapped to UniProt-annotated functional domains and to Rebbeck-defined breast/ovarian cancer cluster regions (BCCR/OCCR). Per ENIGMA/ACMG guidance, pathogenic mutations (nonsense, frameshift, and canonical splice site) were analyzed inferentially, while missense and in-frame variants—predominantly VUSs—were only reported descriptively. Fisher’s exact tests with Benjamini–Hochberg FDR correction were applied across domain × subtype contingencies. Cohort heterogeneity was assessed via Cochran’s Q and I² statistics; pooled effect estimates were computed using inverse-variance fixed-effects meta-analysis. Results: A total of 394 somatic BRCA1/2 mutations were identified across the three cohorts (BRCA1 n = 166; BRCA2 n = 228), of which 147 (37.3%) met pathogenic criteria. Among 131 pathogenic mutations in HR+/HER2− or TNBC subtypes, 84 (64.1%) occurred in HR+/HER2− disease and 47 (35.9%) in TNBC. Domain-level distributions did not differ significantly between subtypes for any BRCA1 domain (BRCT: TNBC 20.0% vs. HR+ 18.8%, OR = 1.08, 95% CI 0.31–3.78, and FDR-adjusted p = 1.00) or BRCA2 domain (DBD: TNBC 17.6% vs. HR+ 30.8%, OR = 0.48, and FDR-adjusted p = 1.00). Cluster-region analyses (nine Rebbeck BCCR/OCCRs) similarly showed no significant enrichment. Post hoc power analysis indicated that the study could only reliably detect large effects (OR ≥ ~3.0 for the principal BRCT contrast), and formal equivalence testing (TOST) demonstrated equivalence within a prespecified ±20% margin for BRCA1 BRCT (TOST p = 0.031). Heterogeneity across cohorts was minimal (Cochran’s Q = 0.62, I² = 0.0%). Descriptive analyses of VUSs suggested the apparent enrichment of BRCA1 BRCT-localized missense variants in TNBC (31.8% vs. 17.9% in HR+), but this signal did not extend to pathogenic mutations. Conclusions: Within the statistical power available, our three-cohort analysis shows no evidence of large subtype-specific enrichment of pathogenic BRCA1/2 somatic mutations across protein domains or cluster regions; small to moderate effects cannot be excluded. Notably, the majority (64%) of pathogenic mutations occurred in HR+/HER2− disease, underscoring that BRCA1/2 testing should not be deprioritized in non-TNBC subtypes. The apparent BRCT enrichment observed in earlier unfiltered analyses appears to be driven by VUSs rather than pathogenic variants, highlighting the methodological necessity of pathogenicity filtering for clinically actionable inference. These findings provide cohort-scale supportive evidence for emerging clinical guidelines that recommend broader BRCA1/2 testing across breast cancer subtypes. Full article

Macrobrachium nipponense is an economically important freshwater prawn species in China, where larger individuals have higher commercial value than smaller ones. Previous studies indicated that bestrophin 3 (BEST3) may play a regulatory role in the growth performance of this species. Therefore, the present study investigated the potential functions of the BEST3 gene in the growth of M. nipponense by using quantitative real-time PCR (qPCR) and RNA interference (RNAi), and also searched for growth-related single-nucleotide polymorphisms (SNPs) within this gene. qPCR results revealed that Mn-BEST3 expression was widely detected across all tested tissues, suggesting that this gene may serve multiple functions in M. nipponense. Notably, its highest expression was observed in muscle tissue, which was significantly greater than that in all other tested tissues (p < 0.05), implicating a potential role for this gene in growth regulation. Further qPCR analysis confirmed that the synthesized dsBEST3 effectively reduced Mn-BEST3 expression. The body mass gain percentage in the dsBEST3-injected group was significantly lower than that in the dsGFP-injected control group, with differences becoming significant from Day 12 onward in both males and females (p < 0.05). These findings indicate that Mn-BEST3 plays a positive role in regulating growth in M. nipponense. Finally, three SNPs were identified in the coding region of this gene. The associations of these three SNPs with growth performance, including body weight and total length, were further validated using 50 male and 50 female prawns derived from a full-sib family at approximately 5 months post-hatching. Among them, one SNP (S31_23192836) was found to be associated with growth performance in both male prawns and female prawns. Overall, this study confirmed the positive regulatory role of BEST3 in the growth of M. nipponense and identified growth-related SNPs within this gene. These results improve our understanding of the molecular mechanisms underlying growth regulation and support the production of populations with superior growth traits through marker-assisted selection. Full article

Canine dirofilariasis, caused by Dirofilaria immitis and Dirofilaria repens, is an emerging vector-borne disease of increasing veterinary and zoonotic importance. Rapid and species-specific detection is essential for effective clinical management and epidemiological surveillance. This study aimed to develop and diagnostically evaluate two novel species-specific loop-mediated isothermal amplification (LAMP) assays for the direct detection of D. immitis and D. repens in canine whole blood, performed in parallel in separate reactions, with emphasis on simplified and potentially near-point-of-care applicability. Primers targeting mitochondrial COI and NADH gene regions were designed and validated. In silico specificity analysis against 13 filarioid species confirmed the absence of non-specific primer binding. A direct closed-tube LAMP protocol using sodium hydroxide–Chelex-100 lysis was optimized, enabling amplification without conventional DNA extraction while reducing contamination risk and processing time to under 60 min. Relative diagnostic performance was evaluated relative to quantitative real-time PCR (qPCR) results. Using purified DNA, the D. repens assay achieved 100% relative sensitivity and relative specificity, whereas the D. immitis assay showed 94.5% relative sensitivity and 100% specificity. In direct whole-blood assays, relative specificity remained 100% for both targets, while sensitivity decreased to 90.9% for D. immitis and 77.42% for D. repens, with most false-negative reactions associated with high qPCR Ct values (>30). These findings demonstrate that the proposed assays provide a rapid and practical molecular diagnostic approach with potential applicability for point-of-care veterinary testing. Full article

Radio occultation (RO) has become a key technique for monitoring the ionosphere by deriving electron density (Ne) profiles and total electron content (TEC) from GNSS signals. This study assesses the newly deployed PlanetiQ GNOMES constellation by validating its ionospheric Ne profiles and profile-based TEC against collocated measurements from ionosondes and the COSMIC-2 mission under both quiet and disturbed geomagnetic conditions. Data matching for the statistical validation uses conservative spatial thresholds of less than 1° in latitude and longitude and temporal limits of 30 min for ionosondes and 1 h for COSMIC-2, supported by a dedicated sensitivity analysis, whereas storm-time case studies apply tighter temporal collocation and explicit control of the ray path geometry. Quantitative agreement is evaluated using root mean square error (RMSE), mean and absolute mean differences, correlation coefficients, regression analysis, and normalized percentage differences for key F-layer parameters, including the maximum Ne of the F2 layer (NmF2), the peak height of the F2 layer (hmF2), and the critical frequency of the F2 layer (foF2), along with altitude-dependent Ne profiles. PlanetiQ shows strong consistency with ionosonde profiles, with RMSE ranging from 2.94 × 10⁴ to 2.76 × 10⁵ el/cm³, correlations typically exceeding 0.90, and normalized absolute mean differences often near or below about 10–20%, although lower correlations of about 0.31 and 0.69 are found at Poker Flat and Awase, respectively, reflecting complex local structures and regional variability. Comparisons with COSMIC-2 during quiet conditions yield RMSE values between 7.06 × 10⁴ and 2.16 × 10⁵ el/cm³, correlations from 0.94 to 0.99, and percentage differences that generally remain within a few tens of percent, while storm-time analyses show RMSE between 1.12 × 10⁵ and 3.70 × 10⁵ el/cm³ with correlations from 0.80 to 0.99, confirming robust agreement across a wide range of geophysical conditions. Regression results demonstrate slopes near 1.00 and correlation coefficients above 0.90 for NmF2 and foF2 between PlanetiQ and both ionosondes and COSMIC-2, whereas hmF2 exhibits larger scatter, particularly during geomagnetic disturbances; additional binning by spatial and temporal separation indicates that temporal mismatches generally have a stronger impact on discrepancies than horizontal distance. Overall, the results demonstrate that PlanetiQ ionospheric RO data provide accurate and consistent measurements of key ionospheric parameters, comparable to those from COSMIC-2 and ionosondes, and can reliably complement existing observing systems for monitoring ionospheric variability and space-weather impacts. Full article

Background: Pathogenic germline BRCA1 and BRCA2 variants cause most hereditary breast and ovarian cancers. Widespread genetic testing has revealed thousands of variants with unknown effects on disease risk, known as variants of uncertain significance (VUS). BRCA VUS, the majority of which are missense, complicate genetic test interpretation and clinical decision-making. This study aimed to evaluate BRCA1 VUS pathogenicity with enhanced accuracy through computational, functional and structural methods. Methods: We characterized the structural distribution of BRCA1 variants. In silico tools scored known consequence variants within a specific region of BRCA1. The Molecular Feature Selection Tool (MolecularFeaST; Renwick Lab at Queen’s University; Kingston, ON, Canada) performed feature selection of the most discriminative tools. MATLAB (MATLAB R2024a; Mathworks; Natick, MA, USA) Classification Learner Application trained supervised machine learning models using combinations of the most accurate tools; the best model assigned pathogenicity prediction scores to VUS. Select VUS were functionally assessed through phosphopeptide binding pull-down assays and structurally analyzed on PyMOL (v2.4.1; Schrödinger Inc.; New York, NY, USA). Results: The RING and BRCT domains were identified as hotspots for missense pathogenic variants and VUS; BRCT was selected as the focus of the computational classifier. Nine in silico tools (CADD hg19, MetaRNN, ClinPred, VEST4, BayesDel AD, EVE, Eigen PC, gMVP and PolyPhen2) defined the BRCT-specific missense variant classifier. Twenty-two VUS (R1699P, F1704S, W1837L, W1712G, F1734S, V1804A, I1674V, V1804L, V1804I, I1807V, T1675S, I1764L, N1774I, E1698K, Q1848K, P1749S, A1669T, N1774H, L1839V, T1658I, L1705I, V1654L) demonstrated varying phosphopeptide binding ability and protein levels relative to the wildtype. Computational structural modeling contextualized VUS phosphopeptide interactions and structural implications. Conclusions: We provide in silico and functional evidence for the classification of BRCA1 BRCT VUS and highlight the utility of domain-specific computational approaches for characterizing missense variants in multi-domain genes. Full article

Resistance spot welding was performed to join 2 mm thick TA2 titanium plate and Q235 steel plate using an Nb-Ni bi-interlayer. The microstructure of the interfacial zone was observed and analyzed, and the tensile shear load of the joint was evaluated. The joints obtained display double-nugget-type and penetration-type joints. For the double-nugget-type joint, Ni₆Nb₇ and Ni₃Nb layers have been formed in the region between the residual Nb layer and the steel, while for the penetration-type joint, a mixed nugget composed of Ti-Fe intermetallic compounds was formed at the center zone of the weld. As the welding current increased or welding time extended, the tensile shear load of the joint exhibited a trend of initially increasing and subsequently decreasing. When a bi-interlayer consisting of 0.05 mm-Nb and 0.04 mm-Ni is utilized, the tensile shear load of the joint reached the maximum value of approximately 8.7 kN under the condition of 11 kA welding current, 300 ms welding time, and 3 kN electrode pressure. The results indicate that the Nb layer can effectively impede the cross-interface diffusion of Ti atoms and Ni-Nb intermetallic compound layers are formed in the interface region in the case that the interlayer thickness and the welding parameters are well-matched when resistance spot welding of Ti/steel is performed with a bi-interlayer of Nb-Ni. Full article

Shortwave infrared (SWIR) imagery plays an important role in land–water boundary delineation, coastal monitoring, and complex aquatic environment observation. However, the spatial resolution of SWIR bands is usually lower than that of visible bands, which limits their capability to represent fine-scale targets and boundary structures. To address this problem, this study proposes MLE-ResUNet, a SWIR image super-resolution method that integrates along-track oversampling with visible-light-guided deep learning. The proposed method first exploits dual-view SWIR observations with sub-pixel displacement generated by increasing the sampling line rate in the push-broom imaging process. A maximum likelihood estimation (MLE)-based physical prior module is then introduced to transform multi-view degraded observations into a physically consistent latent high-resolution prior. Finally, high-resolution visible images are used to provide edge, texture, and structural guidance, and a ResUNet-based network is employed for multi-source feature fusion and residual reconstruction. Based on multi-region measured data acquired by the LHRSI (Lightweight High-Resolution Spectral Imager) payload onboard the BlueCarbon-1A satellite, a SWIR super-resolution dataset covering typical urban, farmland, and coastal scenarios was constructed. Comparative experiments were conducted against PCA, BDSD, PanNet, GPPNN, and two additional lightweight-guided deep learning baselines, namely LGPConv and a CANConv-style visible-guided baseline. The results show that MLE-ResUNet achieves the best performance across different scenarios and consistently outperforms the comparison methods in terms of SSIM, SAM, ERGAS, and Q-index. The proposed method effectively enhances spatial detail recovery while maintaining favorable spectral consistency. Ablation experiments further demonstrate that both along-track oversampling information and the MLE-based physical prior contribute to improved reconstruction quality and more stable training convergence. These findings indicate that the proposed method can enhance fine-scale SWIR observation capability without substantially increasing hardware complexity, providing an effective technical solution for shoreline identification, land–water boundary extraction, and complex surface target monitoring. Full article