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Abstract Background This study aimed to delineate the temporal patterns of esophageal cancer epidemic trends and spatial clustering patterns among male populations in China's mainland from 1990 to 2021. This analysis aimed to provide a scientific rationale and empirical data to facilitate the formulation of targeted prevention and control strategies. Methods Data on the number of cases and deaths, crude and age‐standardized incidence and mortality rates of esophageal cancer in men were collected from the Global Burden of Disease Study and the Chinese Cancer Registry Annual Report. Global and local Moran's I spatial autocorrelation index was employed to quantify spatial clustering, and a disease map was drawn. Results From 1990 to 2021, the cumulative incidence and mortality of esophageal cancer in men were 6 100 342 and 5 972 294, respectively. The crude incidence and death rates increased in 2021, yet the age‐standardized rates decreased significantly. Cixian County in Hebei Province had the highest age‐standardized rates. The disease displayed spatial clustering, with relatively high rates in Shandong, Jiangsu, and Hebei Provinces. Conclusion Since 1990, the incidence and mortality of esophageal cancer among men in mainland China have remained high, imposing a considerable burden. Although age‐adjusted rates have declined, they are still relatively high overall, especially in Shandong, Hebei, and Jiangsu Provinces.

Abstract Background Developing novel germplasm by using wheat wild related species is an effective way to rebuild the wheat resource bank. The Psathyrostachys huashanica Keng (P. huashanica, 2n = 2x = 14, NsNs) is regarded as a superior species to improve wheat breeding because of its multi-resistance, early maturation and numerous tiller traits. Introducing genetic components of P. huashanica into the common wheat background is the most important step in achieving the effective use. Therefore, the cytogenetic characterization and influence of the introgressed P. huashanica large segment chromosomes in the wheat background is necessary to be explored. Results In this study, we characterized a novel derived line, named D88-2a, a progeny of the former characterized wheat-P. huashanica partial amphiploid line H8911 (2n = 7x = 49, AABBDDNs). Cytological identification showed that the chromosomal composition of D88-2a was 2n = 44 = 22II, indicating the addition of exogenous chromosomes. Genomic in situ hybridization demonstrated that the supernumerary chromosomes were a pair of homologues from the P. huashanica and could be stably inherited in the common wheat background. Molecular markers and 15 K SNP array indicated that the additional chromosomes were derived from the sixth homoeologous group (i.e., 6Ns) of P. huashanica. Based on the distribution of the heterozygous single-nucleotide polymorphism sites and fluorescence in situ hybridization karyotype of each chromosome, this pair of additional chromosomes was confirmed as P. huashanica 6Ns large segment chromosomes, which contained the entire short arm and the proximal centromere portion of the long arm. In terms of the agronomic traits, the addition line D88-2a exhibited enhanced stripe rust resistance, improved spike characteristics and increased protein content than its wheat parent line 7182. Conclusions The new wheat germplasm D88-2a is a novel cytogenetically stable wheat-P. huashanica 6Ns large segment addition line, and the introgressed large segment alien chromosome has positive impact on plant spikelet number and stripe rust resistance. Thus, this germplasm can be used for genetic improvement of cultivated wheat and the study of functional alien chromosome segment.

Abstract Background Leukemia is the tenth most common cause of cancer death worldwide and one of the most important causes of disability. To understand the current status and changing trends of the disease burden of leukemia at the global, regional, and national levels, and to provide a scientific basis for the development of leukemia prevention and treatment strategies. Methods Based on open data from the Global Burden of Disease Study 2019 (GBD 2019), R software was used to calculate estimated annual percentage changes to estimate trends in the age‐standardized incidence (ASIR) and the age‐standardized disability‐adjusted life years (DALY) rate due to leukemia and its major subtypes from 1990 to 2019. Results In 2019, globally, the number of incidences and DALYs of leukemia were 643.6 × 103 (587.0 × 103, 699.7 × 103) and 11,657.5 × 103 (10529.1 × 103, 12700.7 × 103), respectively. The ASIR (estimated annual percentage change (EAPC) = −0.37, 95%UI −0.46 to −0.28) and the age‐standardized DALY rate (EAPC = −1.72, 95%UI −1.80 to −1.65) of leukemia showed a decreasing trend from 1990 to 2019. The APC model analysis showed that the age effect of leukemia risk was a “U”‐shaped distribution of relative risk (RR) with increasing age from 1990 to 2019, globally. The time effect was an increase in incidence rate with increasing years but a decrease in DALY rate with increasing years. The cohort effects of both incidence and DALY rates tended to increase and then decrease with the development of the birth cohort. In 1990 and 2019, smoking, high body‐mass index, occupational exposure to benzene, and occupational exposure to formaldehyde were risk factors for DALY in leukemia, especially in areas with high SDI. Conclusions From 1990 to 2019, the disease burden of leukemia showed a decreasing trend, but it is worth noting that its overall severity is still very high. The disease burden of leukemia varies greatly from region to region, and exclusive strategies for the prevention and treatment of leukemia should be developed according to the economic and cultural development of each region.

Abstract Background Severe fever with thrombocytopenia syndrome (SFTS) is an emerging infectious disease. SFTS virus (SFTSV) is transmitted by tick bites and contact with the blood or body fluids of SFTS patients. Animal-to-human transmission of SFTS has been reported in Japan, but not in China. In this study, the possible transmission route of two patients who fed and cared for farm-raised fur animals in a mink farm was explored. Method An epidemiological investigation and a genetic analysis of patients, animals and working environment were carried out. Results It was found that two patients had not been bitten by ticks and had no contact with patients infected with SFTS virus, but both of them had skinned the dying animals. 54.55% (12/22) of the farm workers were positive for SFTS virus antibody. By analyzing the large, medium and small segments sequences, the viral sequences from the two patients, animals and environments showed 99.9% homology. Conclusion It is suspected that the two patients may be directly infected by farm-raised animals, and that the virus may have been transmitted by aerosols when skinning dying animals. Transmission by direct blood contacts or animal bites cannot be ignored.

Maize stalk rot reduces grain yield and quality. Information about the genetics of resistance to maize stalk rot could help breeders design effective breeding strategies for the trait. Genomic prediction may be a more effective breeding strategy for stalk-rot resistance than marker-assisted selection. We performed a genome-wide association study (GWAS) and genomic prediction of resistance in testcross hybrids of 677 inbred lines from the Tuxpeño and non-Tuxpeño heterotic pools grown in three environments and genotyped with 200,681 single-nucleotide polymorphisms (SNPs). Eighteen SNPs associated with stalk rot shared genomic regions with gene families previously associated with plant biotic and abiotic responses. More favorable SNP haplotypes traced to tropical than to temperate progenitors of the inbred lines. Incorporating genotype-by-environment (G × E) interaction increased genomic prediction accuracy.

Oxidative damage resulting from weaning stress significantly impacts the growth performance and health status of piglets. Taurine, a dietary antioxidant with diverse functions, was investigated in this study for its protective role against weaning stress-induced oxidative damage and its underlying mechanism. Forty 28-day-old male castrated weaned piglets were randomly assigned to four groups. The control group received the basal diet, while the experimental groups were fed the basal diet supplemented with 0.1, 0.2%, or 0.3% taurine over a 28-day period. In vitro, H2O2 was utilized to induce oxidative damage to the jejunal mucosa of piglets via IPEC-J2 cells. The results demonstrated that taurine supplementation reduced the incidence of diarrhea in piglets compared to that in the control group (p

Abstract BackgroundThe core Healthy Days measures were used to track the population-level health status in the China Chronic Disease and Risk Factor Surveillance; however, they were not easily combined to create a summary of the overall health-related quality of life (HRQOL), limiting this indicator’s use. ObjectiveThis study aims to develop a summary score based on the Chinese version of the core Healthy Days measures (HRQOL-5) and apply it to estimate HRQOL and its determinants in a Chinese population. MethodsFrom November 2018 to May 2019, a multistage stratified cluster survey was conducted to examine population health status and behavioral risk factors among the resident population older than 15 years in Weifang City, Shandong Province, China. Both exploratory factor analyses and confirmatory factor analyses were performed to reveal the underlying latent construct of HRQOL-5 and then to quantify the overall HRQOL by calculating its summary score. Tobit regression models were finally carried out to identify the influencing factors of the summary score. ResultsA total of 26,269 participants (male: n=13,571, 51.7%; mean age 55.9, SD 14.9 years) were included in this study. A total of 71% (n=18,663) of respondents reported that they had excellent or very good general health. One summary factor was extracted to capture overall HRQOL using exploratory factor analysis. The confirmatory factor analysis further confirmed this one-factor model (Tucker-Lewis index, comparative fit index, and goodness-of-fit index >0.90; root mean square error of approximation 0.02). Multivariate Tobit regression analysis showed that age (β=–0.06), educational attainments (primary school: β=0.72; junior middle school: β=1.46; senior middle school or more: β=2.58), average income (≥¥30,000 [US $4200]: β=0.69), physical activity (β=0.75), alcohol use (β=0.46), self-reported disease (β=−6.36), and self-reported injury (β=–5.00) were the major influencing factors on the summary score of the HRQOL-5. ConclusionsThis study constructs a summary score from the HRQOL-5, providing a comprehensive representation of population-level HRQOL. Differences in summary scores of different subpopulations may help set priorities for health planning in China to improve population HRQOL.

ObjectiveTo explore the application of readmission ratio adjustment method in calculating the incidence rate of stroke among residents in Weifang city, Shandong province for estimating the first incidence rate of chronic diseases based on medical insurance database. MethodsThe data on medical insurance reimbursement of hospitalizations due to ischemic and hemorrhagic stroke from 2016 through 2020 were collected from the Information System of Medical Insurance for urban and rural residents and that for urban employees in Weifang city. The gender-, age-, and medical insurance type-specific readmission rate coefficient (Ri, %) of different clearance periods (1 – 4 years) for the hospitalizations of the stroke inpatients during the period were calculated based on the data collected and then the calculated Ris were adopted to adjust the observed annual incidence rate of ischemic stroke and hemorrhagic stroke among the residents of Weifang city from 2016 to 2020 with the clearance period of 1 to 4 years, respectively. The annual percentage change (APC) was analyzed by using the Joinpoint model to assess changing trend in the adjusted stroke incidence rates over the years. Furthermore, the gender-, age-, and medical insurance type-specific standardized incidence rates were also calculated and compared using Pearson chi-square test. ResultsThe overall Ri of clearance periods of 1 – 4 years for ischemic stroke hospitalizations in the city were 15.78%, 6.09%, 3.89%, and 2.86% and those for hemorrhagic stroke were 7.52%, 1.35%, 0.89%, and 0.83%, respectively. After the readmission rate adjustment and for the years from 2016 to 2020, the proportion of newly diagnosed cases among the yearly ischemic stroke inpatients were 71.58%, 71.49%, 70.09%, 70.77%, and 70.92%, and the proportion of newly diagnosed cases of hemorrhagic stroke was 89.39%, 89.37%, 88.92%, 88.92%, and 90.30%; the standardized incidence rates (1/ 100 000) of ischemic stroke were 542.41, 579.78, 514.82, and 531.96 and those of hemorrhagic stroke were 69.36, 69.78, 66.36, 65.16, and 65.55 for the populations in Weifang city, respectively. The Joinpoint analysis results showed that there was no significant change trend in ischemic stroke incidence from 2016 to 2020, but there was a downward trend in the incidence of hemorrhagic stroke (APC = – 1.78%, t = – 3.41, P < 0.05). During the 5-year period in the city, the standardized incidence rates of ischemic stroke and hemorrhagic stroke for male residents were 1.12 – 1.20 times and 1.26 – 1.41 times higher than those for female residents. The incidence rate of both ischemic stroke and hemorrhagic stroke increased with age. The incidence of ischemic stroke showed an accelerated increase at the age of 55 – 59, followed by a slowing down after the age of 70 – 74; while no obvious turning point was observed for the incidence of hemorrhagic stroke. For the residents with medical insurance in the city from 2016 to 2020, the incidence rates (1/ 100 000) of ischemic stroke were 515.47, 569.41, 562.87, 611.68, 690.49, and 515.47 and those of hemorrhagic stroke were 69.01, 69.78, 72.96, 73.6, and 79.66; for the employees with medical insurance, the incidence rates (1/ 100 000) of ischemic stroke were 468.55, 519.46, 483.71, 496.65, and 492.22 and those of hemorrhagic stroke were 51.25, 58.93, 57.75, 58.85, and 55.25/100000, respectively, indicating higher incidence rates of ischemic stroke and hemorrhagic stroke in the residents with medical insurance than those in the employees with medical insurance in all years (all P < 0.05). ConclusionThe readmission rate adjustment method could be used to estimate the incidence rate of stroke based on the medical insurance database. The analysis with this method reveals a relatively high incidence rate of stroke among the residents in Weifang city during 2016 – 2020, especially for that of ischemic stroke, however, there was no upward trend in the incidence rate over the period; the analysis also indicates that the males, the elderly, and the individuals with the medical insurance for urban and rural residents are key populations for stroke prevention in the city.

With the rapid advancements in deep learning technology, various deep learning-based object detection algorithms have found extensive applications in UAV-related tasks. However, motivated by the fact that current object detection algorithms for unimodal aerial remote sensing images fail to achieve around-the-clock object detection. To tackle this, we propose an around-the-clock object detection algorithm YOLOFIV that fuses infrared and visible features. First, we design a dual-stream backbone network based on the attention mechanism to adequately extract the features of both modalities. Moreover, the ECA attention mechanism is integrated into the feature enhancement network to amplify attention toward challenging detection scenarios. Finally, we improve the horizontal detection head to a rotating one to preserve object orientation. We evaluate the proposed method YOLOFIV on the widely used drone vehicle dataset, YOLOFIV achieves an accuracy of 64.71% (in terms of $\text{mean average precision}_{0.5}$), accuracy improvement of 8.32% over baseline bimodal model, similar performance to UACMD designed for ARSI object detection but with 92.35% reduction in parameter count, and 17.87 times speedup. The results show that our approach achieves round-the-clock object detection while maintaining a favorable accuracy-speed tradeoff.

Objectives: This study examines the recommendation behaviors and influencing factors for the 13-valent Pneumococcal Conjugate Vaccine (PCV13) among 3579 Chinese healthcare workers (HCWs), including 1775 pediatric care providers (Peds-PCPs) and 1804 primary care providers (PCPs). Data were collected from May to July 2023 through a national cross-sectional survey using a structured questionnaire, distributed across hospitals providing pediatric services in five provincial-level administrative divisions. Methods: The sociodemographic data, vaccine knowledge, and recommendation practices were analyzed using Pearson’s chi-square test, Wilcoxson rank-sum test, and multivariate logistic regression. Results show that while PCPs are more likely to recommend PCV13, vaccine hesitancy persists among Peds-PCPs. Logistic regression revealed that higher influenza vaccination intention, salary, vaccine consultation frequency, familiarity with immunization, work ethic, and flexible schedules positively impacted HCWs’ recommendation behavior. Results: Factors influencing Peds-PCPs’ recommendations include vaccine training (OR: 1.470, CI: 1.049–2.509), safety recognition (OR: 1.986, CI: 1.163–3.391), concern over rejection (OR = 1.274, CI: 1.076–1.508) and vaccine cost (OR = 1.203, CI: 1.023–1.414). For PCPs, influencing factors were the perceived susceptibility of children to pneumonia (OR = 2.185, CI: 1.074–4.445), acceptance of herd immunity (OR: 1.717, CI: 1.101–2.677), and belief that parents with better family conditions are more likely to accept vaccine recommendations (OR = 1.229, CI: 1.024–1.477). Conclusion: This survey underscores the need for tailored interventions to address differing perceptions and enhance confidence in the safety and efficacy of vaccines among HCWs, particularly Peds-PCPs.

The nitrogen (N) use efficiency (NUE) in the roots of seedlings is beneficial for increasing crop yield. Creating marker-assisted selection for wheat root traits can assist wheat breeders in choosing robust roots to maximize nutrient uptake. Exploring and identifying the effect of different N supply conditions on root system architecture (RSA) is of great significance for breeding N efficient wheat varieties. In this study, a total of 243 wheat varieties native to the Yellow and Huai Valley regions of China were utilized for genome-wide association studies (GWAS). Furthermore, a recombinant inbred line (RIL) population of 123 lines derived from the cross between Avocet and Chilero was utilized for linkage examination. A hydroponic seedling experiment using a 96-well tray was conducted in the lab with two treatments: normal N (NN) and low N (LN). Five RSA traits, including the relative number of root tips (RNRT), relative total root length (RTRL), relative total root surface area (RTRS), relative total root volume (RTRV), and relative average root diameter (RARD), were investigated. GWAS and linkage analysis were performed by integrating data from the wheat 660 k single nucleotide polymorphism (SNP) chip and diversity arrays technology (DArT) to identify genetic loci associated with RSA. The results showed that, based on the ratio of RSA-related traits under two N supply conditions, a total of 497 SNP markers, which are significantly associated with RSA-related traits, were detected at 148 genetic loci by GWAS. A total of 10 QTL loci related to RSA were discovered and identified by linkage mapping. Combining two gene localization methods, three colocalized intervals were found: AX-95160997/QRtrl.haust-3D, AX-109592379/QRnrt.haust-5A, and AX-110924288/QRtrl.haust-7D/QRtrs.haust-7D. According to the physical location of the colocalization of these two sites, between 39.61 and 43.74 Mb, 649.97 and 661.55 Mb, and 592.44 and 605.36 Mb are called qRtrl-3D, qRnrt-5A, and qRtrl-7D. This study has the potential to enhance the effectiveness of selecting root traits in wheat breeding programs, offering valuable insights into the genetic underpinnings of NUE in wheat. These results could help in breeding wheat varieties with higher NUE by implementing focused breeding strategies.

Light treatment is an innovative method to enhance the synthesis of secondary metabolites in plants and improve the quality of plant-based food ingredients. This study investigated the effects of red light treatment on the physiological and biochemical changes during wheat germination, aiming to produce high-quality wheat sprouts with strong antioxidant capacity. Using response surface methodology, the study optimized the conditions for phenolic accumulation in wheat sprouts under red light treatment and explored the molecular mechanisms behind the enhancement of total phenolic content (TPC) and quality. The results indicated that red light treatment significantly increased the TPC in wheat sprouts. The highest TPC, reaching 186.61 μg GAE/sprout, was observed when wheat sprouts were exposed to red light at an intensity of 412 μmol/m²/s for 18.2 h/d over four days. Compared to no light, red light treatment significantly increased the content of photosynthetic pigments (chlorophyll and carotenoids). Red light treatment notably heightened the levels of both free and bound phenolic in the germinating wheat. Red light treatment markedly boosted the activities and relative gene expression levels of enzymes related to phenolic biosynthesis, including phenylalanine ammonia-lyase, cinnamate-4-hydroxylase, and 4-coumarate-CoA ligase. Additionally, red light treatment enhanced the antioxidant capacity of wheat sprouts by improving the activity and gene expression of four key antioxidant enzymes, thereby promoting growth and germination. This research suggested that red light treatment is an effective strategy for stimulating total phenolic biosynthesis, enhancing antioxidant capacity, and producing highly nutritious wheat sprouts, thus laying the groundwork for developing total phenolic-enriched wheat sprouts as valuable food ingredients in the future.

Light, as a crucial environmental determinant, profoundly influences the synthesis of secondary metabolites in plant metabolism. This study investigated the impacts of the red light combined with ultraviolet-A (UV-A) and ultraviolet-B (UV-B) treatments on phenolic acid biosynthesis in black wheat seedlings. The results demonstrate that the red light combined with UV-A and UV-B treatments significantly enhanced the levels of phenolic acids in black wheat seedlings, at 220.4 μg/seedling and 241.5 μg/seedling, respectively. The content of bound phenolic acids in black wheat seedlings increased by 36.0% under the UV-B treatment. The application of the UV-A/UV-B treatments markedly enhanced the activities of phenylalanine ammonia-lyase, 4-coumarate CoA ligase, and cinnamate 4-hydroxylase in black wheat seedlings while also promoting the expression levels of genes related to phenolic acid synthesis. The expression levels of fructose-1,6-bisphosphate aldolase and NADP-malic enzyme related to photosynthesis were significantly upregulated. This resulted in an augmentation in the chlorophyll content, thereby enhancing photosynthesis in black wheat seedlings. Nevertheless, the UV-A and UV-B treatments also had a significant constraining effect on the growth and development of black wheat seedlings. In addition, the UV-A and UV-B treatments increased the activity and gene expression levels of antioxidant enzymes while significantly increasing the contents of total flavonoids and anthocyanins, activating the antioxidant system. The findings reveal that light-source radiation serves as an effective method for promoting the biosynthesis of phenolic acids in black wheat seedlings.

In this study, we present a complete analysis of the thermal behavior of an oil-filled distribution transformer using two different approaches: numerically, by applying computational fluid dynamics (CFD) simulations; and analytically, by using thermal–hydraulic modelling (THM). The THM method becomes challenging when the corrugated transformer tank wall structures are complex, and therefore CFD simulations are required to provide in-depth details of the winding oil thermal–hydraulic behavior and to generate parameters for improving the THM calculation. The numerical and analytical thermal performance results were then compared with heat-run measurements of a case study transformer and the accuracy of both approaches on different thermal performance parameters was validated. This study has certain reference value for improving the thermal performance and operation efficiency of distribution transformers, and eventually aims to provide engineers with an effective tool to design the most efficient and reliable distribution transformers with corrugated tank walls for various applications.

Objective: Whole-course nutrition management (WNM) has been proven to improve outcomes and reduce complications. We conducted this randomized controlled trial to validate its effectiveness in patients undergoing pancreatoduodenectomy (PD). Methods: From 1 December 2020, to 30 November 2023, this single-center randomized clinical trial was conducted at the Department of Hepatobiliopancreatic Surgery in a major hospital in Beijing, China. Participants who were undergoing PD were enrolled and randomly allocated to either the WNM group or the control group. The primary outcome was the incidence of postoperative complications. Subgroup analysis in patients who were at nutritional risk was performed. Finally, a 6-month follow-up was conducted and the economic benefit was evaluated using an incremental cost-effectiveness ratio (ICER). Results: A total of 84 patients were randomly assigned (1:1) into the WNM group and the control group. The incidences of total complications (47.6% vs. 69.0%, P= 0.046), total infections (14.3% vs. 33.3%, P=0.040), and abdominal infection (11.9% vs. 31.0%, P= 0.033) were significantly lower in the WNM group. In the subgroup analysis of patients at nutritional risk, 66 cases were included (35 cases in the WNM group and 31 cases in the control group). The rate of abdominal infection (11.4% vs. 32.3%, P =0.039) and postoperative length of stay (23.1 ± 10.3 vs. 30.4 ± 17.2, P=0.046) were statistically different between the two subgroups. In the 6-month follow-up, more patients reached the energy target in the WNM group (97.0% vs. 79.4%, P=0.049) and got a higher daily energy intake (1761.3 ± 339.5 vs. 1599.6 ± 321.5, P=0.045). The ICER suggested that WNM saved 31 511 Chinese Yuan (CNY) while reducing the rate of total infections by 1% in the intention-to-treat (ITT) population and saved 117 490 CNY in patients at nutritional risk, while WNM saved 31 511 CNY while reducing the rate of abdominal infections by 1% in the ITT population and saved 101 359 CNY in patients at nutritional risk. Conclusion: In this trial, whole-course nutrition management was associated with fewer total postoperative complications, total and abdominal infections, and was cost-effective, especially in patients at nutritional risk. It seems to be a favorable strategy for patients undergoing PD. [ABSTRACT FROM AUTHOR]

Transformer-based models have facilitated significant advances in object detection. However, their extensive computational consumption and suboptimal detection of dense small objects curtail their applicability in unmanned aerial vehicle (UAV) imagery. Addressing these limitations, we propose a hybrid transformer-based detector, HDETR, and enhance it for dense small objects, leading to an accurate and efficient model. Firstly, we introduce a hybrid transformer encoder, which integrates a convolutional neural network-based cross-scale fusion module with the original encoder to handle multi-scale feature sequences more efficiently. Furthermore, we propose two novel strategies to enhance detection performance without incurring additional inference computation. Query filter is designed to cope with the dense clustering inherent in drone-captured images by counteracting similar queries with a training-aware non-maximum suppression. Adversarial denoising learning is a novel enhancement method inspired by adversarial learning, which improves the detection of numerous small targets by counteracting the effects of artificial spatial and semantic noise. Extensive experiments on the VisDrone and UAVDT datasets substantiate the effectiveness of our approach, achieving a significant improvement in accuracy with a reduction in computational complexity. Our method achieves 31.9% and 21.1% AP on the VisDrone and UAVDT datasets, respectively, and has a faster inference speed, making it a competitive model in UAV image object detection. [ABSTRACT FROM AUTHOR]