OBJECTIVE: To understand the disease burden of esophageal cancer (EC) attributable to inadequate fruit intake in China and global from 1990 to 2019 stratified by age and sex.
METHODS: Global Burden of Disease Study (GBD 2019) were pooled to calculate the number of deaths, standardized mortality rate, disability-adjusted life years (DALY) and DALY rate of EC attributed to low fruit intake in China and globally by age and sex from 1990 to 2019. The population attributable fractions (PAF) were applied to estimate the proportion of EC caused by low fruit intake. Joinpoint was used to estimate average annual percentage of change (AAPC) to reflect the time change trend of the EC burden attributable to inadequate fruit intake in China and globally.
RESULTS: In the Chinese population in 2019, the attributable DALY of EC in males was 356,000 person-years, while it was 80,600 person-years in females. The attributable standardized mortality and DALY rates for different age groups in China increased with age, peaking in the group aged 70 years and above. From 1990 to 2019 in China, the number of deaths, standardized mortality rates, DALY and standardized DALY rates of EC attributable to inadequate fruit intake showed a decreasing trend (AAPCs: -1.62%, -4.54%, -2.10% and -4.88%, respectively), with statistical significance (P<0.001).
CONCLUSIONS: The overall burden of EC attributed to inadequate fruit intake in China has demonstrated a downward trend. However, due to the aging population, the disease burden in China remains higher than the global average. Hence, prevention and health education efforts should focus on the population with low fruit intake.

Accurate prediction of Kirsten rat sarcoma (KRAS) mutation status is crucial for personalized treatment of advanced colorectal cancer patients. However, despite the excellent performance of deep learning models in certain aspects, they often overlook the synergistic promotion among multiple tasks and the consideration of both global and local information, which can significantly reduce prediction accuracy. To address these issues, this paper proposes an innovative method called the Multi-task Global-Local Collaborative Hybrid Network (CHNet) aimed at more accurately predicting patients\' KRAS mutation status. CHNet consists of two branches that can extract global and local features from segmentation and classification tasks, respectively, and exchange complementary information to collaborate in executing these tasks. Within the two branches, we have designed a Channel-wise Hybrid Transformer (CHT) and a Spatial-wise Hybrid Transformer (SHT). These transformers integrate the advantages of both Transformer and CNN, employing cascaded hybrid attention and convolution to capture global and local information from the two tasks. Additionally, we have created an Adaptive Collaborative Attention (ACA) module to facilitate the collaborative fusion of segmentation and classification features through guidance. Furthermore, we introduce a novel Class Activation Map (CAM) loss to encourage CHNet to learn complementary information between the two tasks. We evaluate CHNet on the T2-weighted MRI dataset, and achieve an accuracy of 88.93% in KRAS mutation status prediction, which outperforms the performance of representative KRAS mutation status prediction methods. The results suggest that our CHNet can more accurately predict KRAS mutation status in patients via a multi-task collaborative facilitation and considering global-local information way, which can assist doctors in formulating more personalized treatment strategies for patients.

Backyard chickens usually have open housing and scavenge for food, facilitating contact with infective forms of parasites present in the environment and increasing the risk of parasitic infections. Coccidiosis and ascaridiosis are two internal parasites in scavenging chickens that cause production losses to farmers. Prevalence data of these two diseases are scarce in low-income and middle-income countries (LMICs) but necessary to assess the burden of disease in backyard chickens. This study estimates the clinical prevalence of coccidiosis and ascaridiosis at the country and regional levels in all LMICs using regression imputation methods. Regression models were developed with data of known prevalence of these parasites and using primarily climatic factors as predictors. A binomial random effects model was developed for each disease to impute prevalence. The overall estimated prevalence of coccidiosis was 0.39 (95 % CI: 0.37-0.42), with a higher mean prevalence in tropical countries. The overall estimated prevalence of ascaridiosis was 0.23 (95 % CI: 0.22-0.25) with a higher mean prevalence in countries with tropical, temperate and continental climates. The findings of this study can aid to identify the burdens of coccidiosis and ascaridiosis infections across countries and regions, which can inform disease control plans and, and encourage international alliances to facilitate access to preventive measures, improving animal health and reducing production losses.

OBJECTIVE: Liver cancer is a major health concern globally and in China. This analysis investigated deaths and disability-adjusted life years (DALYs) with respect to etiologies and risk factors for liver cancer in China and worldwide.
METHODS: Global and China-specific data were collected on liver cancer deaths, DALYs, and age-standardized rates (ASRs) from the Global Burden of Disease Study 2019 database. Liver cancer etiologies were classified into five groups and risk factors were categorized into three levels. Each proportion of liver cancer burden was calculated in different geographic regions. The joinpoint regression model were used to assess the trends from 1990-2019.
RESULTS: Liver cancer accounted for 484,577 deaths worldwide in 2019 with an ASR of 5.9 per 100,000 population. China had an elevated liver cancer death ASR in 2019 and males had an ASR 1.7 times the global rate. The global ASR for DALYs peaked at 75-79 years of age but peaked earlier in China. Hepatitis B virus was the prominent etiology globally (39.5%) and in China (62.5%), followed by hepatitis C virus and alcohol consumption. In high sociodemographic index countries, non-alcoholic steatohepatitis has gained an increasing contribution as an etiologic factor. The liver cancer burden due to various etiologies has decreased globally in both genders. However, metabolic risk factors, particularly obesity, have had a growing contribution to the liver cancer burden, especially among males.
CONCLUSIONS: Despite an overall decreasing trend in the liver cancer burden in China and worldwide, there has been a rising contribution from metabolic risk factors, highlighting the importance of implementing targeted prevention and control strategies that address regional and gender disparities.

The increase in the prevalence of food allergy has been considered as the second wave in the allergy epidemic following the first wave of increase in asthma and allergic rhinitis. It is well known that the prevalence of allergic conditions would follow economic development and urbanization in many countries or regions. In developed countries, one in three children suffered from at least one allergic disorder and these conditions include food allergy, eczema, allergic rhinitis and asthma. Food allergy is very often the first allergic manifestation affecting infants and young children. The exact etiologies are not known. The clinical manifestations ranged from a simple rash or an itch around the mouth, to the more severe manifestations of angioedema and potentially fatal anaphylaxis. Among all cases of childhood anaphylaxis, food is the most common cause. The common allergens resulting in food allergies in developed countries include egg, milk, fish, wheat, peanuts and tree nuts. However, there are marked variations in the patterns of food allergens in developing countries. In line with the epidemiology of asthma, food allergy is also much less common in rural areas. Clear understanding of reasons explaining the disparity of food allergies between urban and rural population would pave the way to the development of effective primary prevention for food allergy.

The effectiveness of green finance in driving clean energy and environmental sustainability in the current era is receiving attention. Therefore, this study proposes an empirical framework highlighting the effects of green bonds (GB) on clean energy investment (CEI), clean energy investment efficiency (CEE) and environmental sustainability of 29 green bond issuing countries between 2014 and 2022. Using system and difference GMM approaches, this study finds that (i) green bond issuance drives clean energy investment. (ii) Green bonds sufficiently enhance the selected countries\' environmental quality. These results supplement the promotion of green bonds in increasing the transfer of funds towards renewable energy projects by reducing reliance on fossil fuels. (iii) Using Driscoll & Kraay, Fully Modified-OLS, and changing the dependent variable, this study further supported the idea that green bonds effectively promote the CEE and environmental sustainability of the chosen countries. (iv) Similarly, this study conducted income heterogeneity, showing that green bonds improve high- and middle-income countries\' CEI and environmental quality. (v) Finally, the results indicate that resource consumption escalates CO2 emissions by declining the CEI. Technological innovations increase CEI, whereas they do not mitigate CO2 emissions directly, hinting at the requirement for a comprehensive approach. Therefore, inclusive policies on green bond frameworks, robust incentives, and rigorous environmental criteria should be implemented to attract investment in clean energy development and ensure the environmental sustainability of the selected countries.

Despite representing an essential workforce, it is unclear how global policy efforts target early-career dementia researchers (ECDRs). Thus, this study aimed to provide an overview of policies through which ECDRs are considered and supported by dementia plans and organizations.
G20 member states were evaluated for their national dementia plan alongside policies of leading dementia organizations. Data targeting support for ECDRs were extracted and subject to content analysis using inductive coding. Findings were categorized and narratively synthesized.
Only China, Denmark, England, Greece, Northern Ireland, Scotland, Spain, and the United States mentioned ECDRs in their national plan. Additionally, 17 countries formalized ECDR support via dementia organizations. Support efforts included research funding, dissemination and networking, career development, and research advice.
Few nations formally recognized ECDRs in dementia plans or through dementia organizations. To facilitate equal prospects for ECDRs, top-down approaches are urged to enhance and align their efforts.
Few G20 countries (8/46) had national dementia plans for early-career researchers. Targeted support comes from government and nongovernmental dementia organizations. Support includes funding, training, advice, research dissemination, and networking. Inconsistent definitions and eligibility criteria are barriers to accessing support. Global coordination and top-down policy will aid early-career dementia researchers.

Varied seasonal patterns of respiratory syncytial virus (RSV) have been reported worldwide. We conducted a systematic review on articles identified in PubMed reporting RSV seasonality based on data collected before 1 January 2020. RSV seasonal patterns were examined by geographic location, calendar month, analytic method, and meteorological factors including temperature and absolute humidity. Correlation and regression analyses were conducted to explore the relationship between RSV seasonality and study methods and characteristics of study locations. RSV seasons were reported in 209 articles published in 1973-2023 for 317 locations in 77 countries. Regular RSV seasons were similarly reported in countries in temperate regions, with highly variable seasons identified in subtropical and tropical countries. Longer durations of RSV seasons were associated with a higher daily average mean temperature and daily average mean absolute humidity. The global seasonal patterns of RSV provided important information for optimizing interventions against RSV infection.

Aiming to address the problem of robot path planning in environments containing narrow passages, this paper proposes a novel global path planning method: the DSR (Dual-source Light Continuous Reflection Exploration) algorithm. This algorithm, inspired by the natural reflection of light, employs the concept of continuous reflection for path planning. It can efficiently generate an asymptotically optimal path on the map containing narrow passages. The DSR algorithm has been evaluated on different maps with narrow passages and compared with other algorithms. In comparison with the bidirectional Rapidly-exploring Random Tree algorithm, the DSR algorithm achieves a significant reduction in both path length (by 27.08% and 34.35%) and time consumption (by 98.47% and 91.03%). Numerical simulations and experimental analysis have demonstrated the excellent performance of the DSR algorithm.

UNASSIGNED: We aim to evaluate the global, regional, and national burden of Uterine Cancer (UC) from 1990 to 2019.
UNASSIGNED: We gathered UC data across 204 countries and regions for the period 1990-2019, utilizing the Global Burden of Disease Database (GBD) 2019 public dataset. Joinpoint regression analysis was employed to pinpoint the year of the most significant changes in global trends. To project the UC trajectory from 2020 to 2044, we applied the Nordpred analysis, extrapolating based on the average trend observed in the data. Furthermore, the Bayesian Age-Period-Cohort (BAPC) model with integrated nested Laplace approximations was implemented to confirm the stability of the Nordpred analysis predictions.
UNASSIGNED: Globally, the age-standardized rate (ASR) of incidence for UC has increased from 1990 to 2019 with an Average Annual Percentage Change (AAPC) of 0.50%. The ASR for death has declined within the same period (AAPC: -0.8%). An increase in the ASR of incidence was observed across all Socio-demographic Index (SDI) regions, particularly in High SDI regions (AAPC: 1.12%), while the ASR for death decreased in all but the Low SDI regions. Over the past 30 years, the highest incidence rate was observed in individuals aged 55-59 (AAPC: 0.76%). Among 204 countries and regions, there was an increase in the ASR of incidence in 165 countries and an increase in the ASR of deaths in 77 countries. Our projections suggest that both the incidence and death rates for UC are likely to continue their decline from 2020 to 2044.
UNASSIGNED: UC has significantly impacted global health negatively, with its influence stemming from a range of factors including geographical location, age-related and racial disparities, and SDI.