Omega-3 polyunsaturated fatty acids (PUFAs) docosahexaenoic acid (DHA) and eicosapentaenoic acid (EPA), possess anti-inflammatory properties, yet their association with obesity-depression comorbidity remains unclear. This study investigated the association among US adults and explored underlying mechanisms. We performed a cross-sectional analysis of 4,423 individuals participating in the National Health and Nutrition Examination Survey (NHANES) 2003–2004 & 2011–2014. Serum fatty acids were quantified by gas chromatography. Obesity was defined using anthropometric criteria, and depression was assessed using the PHQ-9 or antidepressant use. Multivariable logistic regression estimated odds ratios (ORs) per standard deviation (SD) increase in PUFA levels. Mechanistic explore through network pharmacology identified potential pathways, which were examined using correlation analyses with inflammatory indices. Higher omega-3 PUFA levels were associated with lower odds of central obesity comorbid depression in females (OR: 0.82, 95% CI: 0.69–0.96) and older adults (OR: 0.79, 95% CI: 0.64–0.97). DHA was significantly associated with lower odds of central obesity (OR: 0.83, 95% CI: 0.73–0.95), depressive symptoms (OR: 0.88, 95% CI: 0.77–1.00), and their comorbidity (OR: 0.85, 95% CI: 0.74–0.98), whereas no significant associations were found for EPA. Mechanistic exploration implicated DHA in TNF and IL-17 signaling pathways, supported by inverse correlations with monocyte-to-HDL ratio (r: −0.138, P < 0.001) and lymphocyte-to-HDL ratio (r: −0.108, P < 0.001). In conclusion, serum DHA is inversely associated with obesity-depression comorbidity, with potential involvement of anti-inflammatory pathways. These findings underscore the potential of DHA for the management of obesity comorbid depression and the need for further interventional trials.

An experimental study was conducted to investigate the characteristics of unsteady oblique shock trains in a constant-area rectangular duct under an asymmetric incoming boundary layer. High-speed schlieren techniques and high-frequency pressure measurements were utilised in this study. The results indicate that the oblique shock train mainstream leans significantly towards the thin-boundary-layer side. Under downstream periodic excitation, the shock train moves periodically, and its shape changes during the movement. This phenomenon occurs to match the downstream pressure by altering the relative Mach number in front of the shock train, with the average pressure rise slope along the thick-boundary-layer side changing periodically. Additionally, unlike a normal shock train, the pressure rise distribution along the thick-boundary-layer side is nearly linear, and the correlation coefficients between the transducers on this side and the most downstream transducer are higher than those on the thin-boundary-layer side. Due to differences in flow structure and pressure rise distribution, the existing amplitude prediction model proposed by Xiong et al. (J. Fluid Mech. vol. 846, 2018, pp. 240–262) for the unsteady normal shock train is no longer applicable to the unsteady oblique shock train. Therefore, a new prediction model is derived and verified by experiments. Moreover, it is found that using only the downstream pressure transducer information on the thick-boundary-layer side can effectively predict the amplitude of the shock-train motion. Combined with the prediction model, a novel method is proposed to estimate the amplitude of the shock-train motion conveniently.

Dietary plant-derived bioactive compounds for enhancing physiological health are becoming a prevalent strategy for antibiotic alternatives. Our study revealed the effects and underlying mechanism of osthole (OST) and OST-tetramethylpyrazine (TMP) compound in Litopenaeus vannamei based on network pharmacology, molecular docking and a 42-d feeding trial verification. The results illustrated that OST and OST-TMP compound significantly improved the survival rate, weight gain rate, specific growth rate and feed conversion ratio, strengthening the growth performance of L. vannamei. Meanwhile, combining the predictive results from network pharmacology and molecular docking, we propose that OST and TMP synergistically enhance the antioxidant defence capacity of shrimp through the synergistic Nrf2 signalling pathway, thereby enhancing the expression of total antioxidant capacity, superoxide dismutase, catalase and glutathione peroxidase. Furthermore, OST-TMP exhibited a significant increase of the immune response in haemocyte and intestine of shrimp, increasing the expression of antimicrobial peptide and lysozyme and suppressing the inflammatory factors, via the synergistic (NF-κB) and complementary targets predicted by network pharmacology. Additionally, gut microbiota composition of L. vannamei was improved, and the dominant genera were correlated with intestinal immune in the compound groups. For the first time, we elucidated the mechanism of plant-derived bioactive compounds mediating physiological health in aquatic animals via a new strategy of network pharmacology-molecular docking-experimental verification and identified the optimal addition amount of OST-TMP in shrimp (150 mg/kg TMP + 20 mg/kg OST), providing a technical safeguard for the animal health and the safety of aquatic products.

The classification of the species in the genus Actias Leach, 1815 (Lepidoptera: Saturniidae) is challenging because many species have a highly similar morphology, while differences in database classification standards also provoke identification problems. To help resolve these issues, we conducted an integrative analysis of 741 cytochrome oxidase subunit I (COI) barcode sequences available by combining phylogenetic reconstruction, population genetic (Fst) metrics, and biogeographic data. This approach delineated 44 molecular operational taxonomic units (MOTUs) and established a genus-specific, empirical genetic distance threshold of 2.05% from a baseline of 29 morphologically validated MOTUs. These 29 MOTUs/morphospecies were then utilized to assess the interspecific genetic distance gap of this genus and further used as the species-level genetic distance to delimit the remaining morphospecies. Applying this multi-evidence framework allowed us to propose a significant re-evaluation of species boundaries, including several taxonomic reclassifications, and to generate the molecular inventory for Actias. Our study illustrates the power of an integrated molecular approach to resolve complex taxonomic issues and provides a robust, data-driven foundation for future research on Actias.

City-county consolidation is a prevalent practice observed worldwide, serving as a common strategy adopted by policymakers to effectively respond to the development requirements of large metropolises. Existing literature has extensively explored the effects arising from this particular policy. Nevertheless, how consolidation affects energy efficiency in consolidated regions is rarely examined. Based on the large-scale city-county consolidation reform from 2000 to 2017 in China, our study explores the causal implications of this policy on energy efficiency at the county level through the application of a staggered difference-in-difference method. Our outcomes demonstrate that a consolidation reform is tied to a statistically significant reduction in energy efficiency of consolidated counties relative to their non-consolidated counterparts. We provide additional evidence that the rise in energy usage, the relocation of low-tech and energy-intensive industries, and the intensification of economic agglomeration are potential contributors to the decrease in energy efficiency.

Cylindrical vector (CV) $\gamma$ rays can introduce spatially structured polarization as a new degree of freedom for fundamental research and practical applications. However, their generation and control remain largely unexplored. Here, we put forward a novel method to generate CV $\gamma$ rays with tunable hybrid polarization via a rotating electron beam interacting with a solid foil. In this process, the beam generates a coherent transition radiation field and subsequently emits $\gamma$ rays through nonlinear Compton scattering. By manipulating the initial azimuthal momentum of the beam, the polarization angle of $\gamma$ rays relative to the transverse momentum can be controlled, yielding tunable hybrid CV polarization states. Three-dimensional spin-resolved particle-in-cell simulations demonstrate continuous tuning of the polarization angle across $\left(-90{}^{\circ},\ 90{}^{\circ}\right)$ with a high polarization degree exceeding 60%. Our work contributes to the development of structured $\gamma$ rays, potentially opening up new avenues in high-energy physics, nuclear science and laboratory astrophysics.

Dysregulation of fatty acids metabolism has been associated with the risk of osteoarthritis (OA), yet current evidence from epidemiological or genetic studies remains inconclusive. We aimed to investigate the phenotypic association and genetic architecture between total fatty acids, saturated fatty acids (SFA), MUFA, PUFA and OA. Leveraging individual-level data from the UK Biobank, combined with the hitherto largest genome-wide association studies of fatty acids (n 136 016) and OA (n 826 690) in European individuals, we implemented a comprehensive analytical framework. This included observational and genetic analyses, incorporating phenotypic associations, genetic correlations, cross-trait meta-analysis, enrichment analysis and Mendelian randomisation (MR). Observational analysis identified SFA as a risk factor, while MUFA and PUFA as protective factors for OA. Despite a lack of genome-wide genetic correlation, statistically significant local signals were detected within three specific genomic regions. Cross-trait meta-analysis identified sixty-eight pleiotropic loci shared between fatty acids and OA, of which nine were novel. Enrichment analysis revealed the shared genes were enriched in lipoprotein metabolism, immune response and inflammation regulation pathways. Two-sample MR provided evidence for a causal relationship of MUFA and PUFA on OA that survived false discovery rate correction. This study supports associations between circulating fatty acids and OA, with MUFA and PUFA exerting a protective role. Our findings provide new perspectives into OA prevention especially regarding the potential dietary interventions.

Recently, Alfvénic ion temperature gradient (AITG) modes have been observed in the core plasma on the HL-2A tokamak. Only when electron cyclotron resonance heating (ECRH) and neutral beam injection are simultaneously injected into the deuterium plasma do the AITG modes become unstable. The instability is electromagnetic and localised in the core plasma with an internal transport barrier. Dynamic evolution of AITG modes is greatly affected by the off-axis ECRH. Theoretical analysis suggests that there is a strong dependence of the AITG modes on $\eta _i\simeq \boldsymbol{\nabla }\ln T_i/\boldsymbol{\nabla }\ln n_i$, where $n_i$ is the ion density. It is also found that ECRH can enhances AITG modes by causing a drop of electron density and an increase of $\tau =T_e/T_i$; here $T_e$ and $T_i$ are the electron and ion temperatures, respectively. Besides, high-power ECRH may also change the safety factor or magnetic shear and then contribute to the mitigation of AITG modes. The new findings can not only enrich scientific knowledge for pressure gradient-driven instability, but also be beneficial to active control of core-localised electromagnetic modes in future fusion devices.

African swine fever (ASF) is a highly contagious animal disease caused by African swine fever virus (ASFV). It is listed by the World Organization for Animal Health (WOAH) as an animal disease subject to statutory reporting. ASFV, a large, enveloped double-stranded DNA virus with high genomic complexity, exhibits a case fatality rate of up to 100%, posing a significant threat to the global pig industry and food safety. To date, the absence of a safe commercial ASFV vaccine primarily stems from challenges in identifying immunogenic viral antigens, insufficient characterization of ASFV pathogenesis, and limited understanding of the virus’s immune evasion mechanisms. Here, we review the pathogenic characteristics (morphological structure, clinical symptoms, and epidemiological characteristics), molecular biological characteristics, and infection mechanism of ASFV, as well as the immune response mechanism, vaccine research, and the latest information on ASFV in other areas. This review will be in favour of understanding the current state of knowledge of ASF and developing effective vaccines to control this disease.

Previous research has mainly explored the relationship between bilingual language control and domain-general cognitive control through behavioral correlations, often revealing epiphenomenal links rather than causality. This study utilizes transcranial magnetic stimulation (TMS) to investigate the causal roles of the left inferior frontal gyrus (LIFG) and left middle temporal gyrus (LMTG) in 33 unbalanced Chinese-English bilinguals. Continuous theta burst stimulation was applied in separate sessions to decrease cortical excitability, with vertex stimulation as a control. LIFG stimulation significantly increased switching costs in nonverbal switching tasks, highlighting its role in domain-general cognitive control. LMTG stimulation did not affect switching or mixing costs in language or nonverbal switching tasks, suggesting no causal involvement, but it reduced reaction times (RTs) during language switching tasks, underscoring its specialization in language processing. These findings highlight distinctions between the neural mechanisms of bilingual language control and domain-general cognitive control, particularly in the LIFG.

American silk moth, Antheraea polyphemus Cramer 1775 (Lepidoptera: Saturniidae), native to North America, has potential significance in sericulture for food consumption and silk production. To date, the phylogenetic relationship and divergence time of A. polyphemus with its Asian relatives remain unknown. To end these issues, two mitochondrial genomes (mitogenomes) of A. polyphemus from the USA and Canada respectively were determined. The mitogenomes of A. polyphemus from the USA and Canada were 15,346 and 15,345 bp in size, respectively, with only two transitions and five indels. The two mitogenomes both encoded typical mitochondrial 37 genes. No tandem repeat elements were identified in the A+T-rich region of A. polyphemus. The mitogenome-based phylogenetic analyses supported the placement of A. polyphemus within the genus Antheraea, and revealed the presence of two clades for eight Antheraea species used: one included A. polyphemus, A. assamensis Helfer, A. formosana Sonan and the other contained A. mylitta Drury, A. frithi Bouvier, A. yamamai Guérin-Méneville, A. proylei Jolly, and A. pernyi Guérin-Méneville. Mitogenome-based divergence time estimation further suggested that the dispersal of A. polyphemus from Asia into North America might have occurred during the Miocene Epoch (18.18 million years ago) across the Berling land bridge. This study reports the mitogenome of A. polyphemus that provides new insights into the phylogenetic relationship among Antheraea species and the origin of A. polyphemus.

Tuberculosis (TB) remains a significant public health concern in China. Using data from the Global Burden of Disease (GBD) study 2021, we analyzed trends in age-standardized incidence rate (ASIR), prevalence rate (ASPR), mortality rate (ASMR), and disability-adjusted life years (DALYs) for TB from 1990 to 2021. Over this period, HIV-negative TB showed a marked decline in ASIR (AAPC = −2.34%, 95% CI: −2.39, −2.28) and ASMR (AAPC = −0.56%, 95% CI: −0.62, −0.59). Specifically, drug-susceptible TB (DS-TB) showed reductions in both ASIR and ASMR, while multidrug-resistant TB (MDR-TB) showed slight decreases. Conversely, extensively drug-resistant TB (XDR-TB) exhibited upward trends in both ASIR and ASMR. TB co-infected with HIV (HIV-DS-TB, HIV-MDR-TB, HIV-XDR-TB) showed increasing trends in recent years. The analysis also found an inverse correlation between ASIRs and ASMRs for HIV-negative TB and the Socio-Demographic Index (SDI). Projections from 2022 to 2035 suggest continued increases in ASIR and ASMR for XDR-TB, HIV-DS-TB, HIV-MDR-TB, and HIV-XDR-TB. The rising burden of XDR-TB and HIV-TB co-infections presents ongoing challenges for TB control in China. Targeted prevention and control strategies are urgently needed to mitigate this burden and further reduce TB-related morbidity and mortality.

Machine learning (ML) models have been developed to identify randomised controlled trials (RCTs) to accelerate systematic reviews (SRs). However, their use has been limited due to concerns about their performance and practical benefits. We developed a high-recall ensemble learning model using Cochrane RCT data to enhance the identification of RCTs for rapid title and abstract screening in SRs and evaluated the model externally with our annotated RCT datasets. Additionally, we assessed the practical impact in terms of labour time savings and recall improvement under two scenarios: ML-assisted double screening (where ML and one reviewer screened all citations in parallel) and ML-assisted stepwise screening (where ML flagged all potential RCTs, and at least two reviewers subsequently filtered the flagged citations). Our model achieved twice the precision compared to the existing SVM model while maintaining a recall of 0.99 in both internal and external tests. In a practical evaluation with ML-assisted double screening, our model led to significant labour time savings (average 45.4%) and improved recall (average 0.998 compared to 0.919 for a single reviewer). In ML-assisted stepwise screening, the model performed similarly to standard manual screening but with average labour time savings of 74.4%. In conclusion, compared with existing methods, the proposed model can reduce workload while maintaining comparable recall when identifying RCTs during the title and abstract screening stages, thereby accelerating SRs. We propose practical recommendations to effectively apply ML-assisted manual screening when conducting SRs, depending on reviewer availability (ML-assisted double screening) or time constraints (ML-assisted stepwise screening).