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As a critical factor in ice load calculation for marine structures in cold regions, the growth mechanism and mechanical properties of rafted ice urgently require clarification. This study systematically investigated the growth patterns and flexural strength characteristics of rafted ice through laboratory-prepared specimens. Experimental results indicate that the thickness of rafted ice exhibits a negative correlation with both ambient temperature and initial ice thickness during growth. Due to the higher porosity of its frozen layer, the density of rafted ice decreases by approximately 8% on average compared to single-layer ice. Three-point bending tests demonstrate that, under the combined effect of high tensile strength in the lower ice layer and energy absorption by the porosity of the frozen layer, the flexural strength of rafted ice ranges from 1.12 to 1.34 times that of single-layer ice.

Automatic modulation recognition (AMR) is vital for 5G/6G, yet existing methods often overlook the specific spectral structures of dominant OFDM systems. To address this, we propose the Fourier Adaptive Filter with Attention (FAFT), a parameter-efficient framework that explicitly models OFDM spectra. FAFT integrates a learnable FFT-based adaptive filter branch with a lightweight time-domain convolutional branch, fused via channel attention. Additionally, a novel frequency-domain regularizer is introduced to enhance spectral feature learning. Experiments on RML2016.10a, RML2016.10b, and the practical EVAS OFDM dataset demonstrate that FAFT achieves competitive accuracy with remarkable efficiency (0.13M parameters, 39.3M FLOPs). Its robustness under low SNR and multipath conditions highlights its strong potential for practical 5G/6G deployment.

Background Hoof disease is one of the three major diseases that often occur in dairy cows. The impact of this disease on dairy farming is second only to mastitis. Laminitis is a diffuse, aseptic, serous, non-purulent inflammation of the dermal papillae and vascular layers of the cow’s hoof wall. In the pasture, laminitis occurs mostly in the laminae, that is, inside the hoof shell. No lesions can be seen on the surface. Therefore, laminitis cannot attract the attention of veterinarians. However, laminitis has become a major factor that seriously affects the health and welfare of dairy cows, making it an important cause of hindering the performance of dairy cows. Methods The study was conducted at a dairy farm in Harbin, Heilongjiang province, China. We selected a sample of the laminitis cows based on the veterinary diagnosis, took blood from the jugular vein and then separated the plasma, and measured the index with the Elisa kit. In this study, the markers of inflammatory and vasoactive substances status in dairy cows consisted of subclinical laminitis (SCL, n  = 20), chronic laminitis (CL, n  = 20) and healthy dairy cows (CON, n  = 20) under the local management conditions were investigated. Results Compared with healthy cattle, HIS, IL-6, LPS, and TNF-α in subclinical laminitis group significantly increased ( P  < 0.05), especially HIS, LPS, TNF-α ( P  < 0.01); in chronic laminitis cows, COX-2, HIS, IL-6, LPS, and TNF-α increased significantly ( P  < 0.05), especially COX-2, HIS, TNF-α ( P  < 0.01). iNOS ( P  < 0.05), TXB2 ( P  < 0.01) in chronic laminitis cows had significantly increased. Conclusion This study reported for the first time that pasture laminitis was divided into subclinical laminitis and clinical chronic laminitis. Through research on the inflammatory factors and vasoactive substances of dairy cows, it is found that there is a close relationship between them, which affects the metabolic cycle of dairy cows. These indicators are abnormally expressed and cause hoof microcirculation disorders.

Background Mosquitoes play an absolute role in the spread of epidemic arbovirus diseases. Worldwide, Aedes aegypti and Aedes albopictus are the main vectors responsible for the spread of these mosquito-borne diseases. Aedes vexans , a mosquito species native to China, also carries mosquito-borne viruses, such as dengue fever virus and Japanese encephalitis virus, but research on this mosquito has been inadequate. Mapping the potential distribution range of and monthly change in the distribution of these three Aedes species is of particular importance for mosquito surveillance, eradication and disease control. Methods Monitoring data were collected for the three Aedes species in China. Long-term temperature and precipitation data (2001–2021) and land cover data were used to represent various climate and environmental conditions. An ecological niche model was developed using a maximum entropy modeling method to predict the current optimum habitat areas for the three Aedes species and to obtain important variables influencing their monthly distribution. Results The distribution model for the three Aedes species performed well, with an area under the receiver operating characteristic curve value of 0.991 for Ae. aegypti , 0.928 for Ae. albopictus and 0.940 for Ae. vexans . Analysis of the distribution change and mapping of the optimum habitat range for each Aedes species for each month demonstrated that temperature, precipitation and construction land were important factors influencing the distribution of these three Aedes species. Conclusions In China, Aedes aegypti is mainly concentrated in a few tropical regions and along the Yunnan border; Aedes albopictus is widely distributed throughout most of the country, except for the arid and semi-arid regions of northwest China; and Aedes vexans is mainly found in the northern regions. Our results provide a basis for the timing and location of surveillance efforts for high-priority mosquitoes. Graphical abstract

Mitogen-activated protein kinase (MAPK) is a form of serine/threonine protein kinase that activated by extracellular stimulation acting through the MAPK cascade (MAPKKK-MAPKK-MAPK). The MAPK cascade gene family, an important family of protein kinases, plays a vital role in responding to various stresses and hormone signal transduction processes in plants. In this study, we identified 14 CmMAPKs, 6 CmMAPKKs and 64 CmMAPKKKs in melon genome. Based on structural characteristics and a comparison of phylogenetic relationships of MAPK gene families from Arabidopsis, cucumber and watermelon, CmMAPKs and CmMAPKKs were categorized into 4 groups, and CmMAPKKKs were categorized into 3 groups. Furthermore, chromosome location revealed an unevenly distribution on chromosomes of MAPK cascade genes in melon, respectively. Eventually, qRT-PCR analysis showed that all 14 CmMAPKs had different expression patterns under drought, salt, salicylic acid (SA), methyl jasmonate (MeJA), red light (RL), and Podosphaera xanthii (P. xanthii) treatments. Overall, the expression levels of CmMAPK3 and CmMAPK7 under different treatments were higher than those in control. Our study provides an important basis for future functional verification of MAPK genes in regulating responses to stress and signal substance in melon.

A novel variant of rabbit haemorrhagic disease virus, designated RHDV2/b/GI.2, was first discovered in France in 2010. Subsequently, RHDV2 rapidly spread to Africa, North America, Australia, and Asia. RHDV2 outbreaks have resulted in significant economic losses in the global rabbit industry and disrupted the balance of natural ecosystems. Our study investigated the seasonal characteristics of RHDV2 outbreaks using seasonal indices. RHDV2 is prone to causing significant outbreaks within domestic and wild rabbit populations during the spring season and is more likely to induce outbreaks within wild rabbit populations during late autumn in the Southern Hemisphere. Furthermore, based on outbreak data for domestic and wild rabbits and environmental variables, our study established two MaxEnt models to explore the relationship between RHDV2 outbreaks and the environmental factors and conducted outbreak risk predictions for RHDV2 in global domestic and wild rabbit populations. Both models demonstrated good predictive performance, with AUC values of 0.960 and 0.974, respectively. Road density, isothermality, and population density were identified as important variables in the outbreak of RHDV2 in domestic rabbits, while road density, normalized difference vegetation index, and mean annual solar radiation were considered key variables in the outbreak of RHDV2 in wild rabbits. The environmental factors associated with RHDV2 outbreaks identified in our study and the outbreak risk prediction maps generated in our study will aid in the formulation of appropriate RHDV2 control measures to reduce the risk of morbidity in domestic and wild rabbits.

Against the backdrop of a global malaria epidemic that remains severe, China has eradicated indigenous malaria but still has to be alert to the risk of external importation. Understanding the distribution of vectors can provide an adequate and reliable basis for the development and implementation of vector control strategies. However, with the decline of malaria prevalence in recent years, the capacity of vector monitoring and identification has been greatly weakened. Here we have used new sampling records, climatic data, and topographic data to establish ecological niche models of the three main malaria vectors in China. The model results accurately identified the current habitat suitability areas for the three species of Anopheles and revealed that in addition to precipitation and temperature as important variables affecting the distribution of Anopheles mosquitoes, topographic variables also influenced the distribution of Anopheles mosquitoes. Anopheles sinensis is the most widespread malaria vector in China, with a wide region from the northeast (Heilongjiang Province) to the southwest (Yunnan Province) suitable for its survival. Suitable habitat areas for Anopheles lesteri are concentrated in the central, eastern, and southern regions of China. The suitable habitat areas of Anopheles minimus are the smallest and are only distributed in the border provinces of southern China. On this basis, we further assessed the seasonal variation in habitat suitability areas for these three major malaria vectors in China. The results of this study provide new and more detailed evidence for vector monitoring. In this new era of imported malaria prevention in China, regular reassessment of the risk of vector transmission is recommended.

This work is concerned with the nonexistence of nontrivial nonnegative weak solutions for a quasilinear parabolic differential inequality with weighted nonlocal source term in the whole space, which involves weighted polytropic filtration operator or generalized mean curvature operator. We establish the new critical Fujita exponents containing the first and second types. The key ingredient of the technique in proof is the test function method developed by Mitidieri and Pohozaev. No use of comparison and maximum principles or assumptions on symmetry or behavior at infinity of the solutions are required.

Foot-and-Mouth Disease is a highly contagious transboundary animal disease. FMD has caused a significant economic impact globally due to direct losses and trade restrictions on animals and animal products. This study utilized multi-distance spatial cluster analysis, kernel density analysis, directional distribution analysis to investigate the spatial distribution patterns of historical FMD epidemics. A multi-algorithm ensemble model considering climatic, geographic, and social factors was developed to predict the suitability area for FMDV, and then risk maps of FMD for each species of livestock were generated in combination with the distribution of livestock. The results show that all serotypes of FMD exhibit significant clustering with a clear tendency toward a directional distribution. Serotypes A and O are widespread in Asia, Europe, Africa, and South America. Serotype Asia 1 is prevalent in Asia. Serotype SAT2 is prevalent in Africa and the Middle East, while Serotypes SAT1 and SAT3 are restricted to Africa. Ecological niche modeling reveals temperature, precipitation, wind speed, and vegetation are important factors influencing the occurrence of FMD. Except for buffaloes, the distribution of high-risk areas for FMD occurrence in other livestock species is quite widespread. The areas primarily include the southern region of North America, the northern, southern, and eastern regions of South America, the Mediterranean region, the eastern region of Europe, the central and southern regions of Africa, the central, eastern, and southern regions of Asia, and parts of Australia. These findings will provide valuable insights into the prevention and control of FMD.

Background Although metabolic dysregulation serves as a pivotal hallmark in glioma, the detailed information about the lipid metabolism regulation is largely unknown. In the context of this investigation, we have identified B7-H3 — an immune checkpoint molecule of the B7 family — as a regulator of lipid metabolism in glioma. Methods A series of enrichment analyses were applied to explore the interaction between metabolic reprogramming and prognosis in glioma. The expression and prognostic value of B7-H3 were detected in both public databases and clinical samples. Furthermore, the effect of B7-H3 on Glioma cells malignance and lipid metabolism was evaluated through in vivo and in vitro functional experiments. Finally, the molecular mechanism of B7-H3 was investigated by the study of transcriptome sequencing and key interacting proteins. Results The metabolism associated genes (MAG) were firstly screened from the prognosis related differentially expressed genes (DEG) using the TCGA and verified CGGA derived primary and recurrent cohorts of glioma patients, and the immune checkpoint molecule CD276 (B7-H3) was selected due its significant poor prognosis correlation in both primary and recurrent glioma. Furthermore, both RNA sequencing and untargeted metabolomics profiling confirmed a strong correlation between B7-H3 and lipid metabolism in glioma. Notably, B7-H3 showed a significant positive correlation with lipolytic enzyme ATGL ( PNPLA2 ) according to the above transcriptomic data and CGGA database of glioma. However, the receptors of B7-H3 on cancer cells remained poorly understood. Here, we reported that B7-H3 modulated abnormal lipolysis during glioma progression by forming a complex with cMet, and subsequent simultaneous promoting the phosphorylation of STAT3 and expression of ATGL. More importantly, B7-H3 protein level was associated with poor prognosis and correlated with ATGL status in glioma. Conclusions Our results define B7-H3 as a lipolysis related factor that acts by driving glioma malignancy via the cMet-pSTAT3-ATGL pathway, thereby nominating both B7-H3 and ATGL as potential therapeutic targets for glioma.