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Background Even with advances in primary health care, depressive disorders remain a major global public health problem. We conducted an in-depth analysis of global, regional and national trends in depressive disorders incidence over the past 30 years. Methods Data on the incidence of depressive disorders were obtained by sex (female, male, and both), location (204 countries), age (5–84 years), year (1990–2019) from the Global Burden of Disease Study (GBD) 2019. Further, age-period-cohort modeling was used to estimate the net drift, local drift, age, period and cohort effects between 1990 and 2019. Results In 2019, although the incidence of depressive disorders has increased by 59.3% to 290 million (95% UI: 256, 328), the age-standardized incidence rate has decreased by 2.35% to 3588.25 per 100,000 people (3152.71, 4060.42) compared to 1990. There was an emerging transition of incidences from the young and middle-aged population to the old population. From 1990 to 2019, the net drift of incidence rate ranged from −0.54% (−0.61%, −0.47%) in low-middle Socio-demographic Index (SDI) regions to 0.52% (0.25%, 0.79%) in high SDI regions. Globally, the incidence rate of depressive disorders increases with age, period effects showing a decreasing risk and cohort effects beginning to decline after the 1960s. Conclusions Our current findings reflect substantial health disparities and potential priority-setting of depressive disorders incidence in the three dimensions of age, period and cohort across SDI regions, countries. The scope of healthcare to improve the progression of depressive disorders events can be expanded to include males, females of all ages.

This study intends to use the basic information and blood routine of schistosomiasis patients to establish a machine learning model for predicting liver fibrosis. We collected medical records of Schistosoma japonicum patients admitted to a hospital in China from June 2019 to June 2022. The method was to screen out the key variables and six different machine learning algorithms were used to establish prediction models. Finally, the optimal model was compared based on AUC, specificity, sensitivity and other indicators for further modeling. The interpretation of the model was shown by using the SHAP package. A total of 1049 patients’ medical records were collected, and 10 key variables were screened for modeling using lasso method, including red cell distribution width-standard deviation (RDW-SD), Mean corpuscular hemoglobin concentration (MCHC), Mean corpuscular volume (MCV), hematocrit (HCT), Red blood cells, Eosinophils, Monocytes, Lymphocytes, Neutrophils, Age. Among the 6 different machine learning algorithms, LightGBM performed the best, and its AUCs in the training set and validation set were 1 and 0.818, respectively. This study established a machine learning model for predicting liver fibrosis in patients with Schistosoma japonicum . The model could help improve the early diagnosis and provide early intervention for schistosomiasis patients with liver fibrosis.

Background Ischemic stroke, accounting for 85% of stroke cases, leads to severe disabilities and increased mortality. Its global incidence rose by 87.55% from 1990 to 2019, posing significant health and economic burdens. The BRICS-plus nations—Brazil, Russia, India, China, South Africa, and five others—represent a large global population, presenting unique public health challenges. This study aims to evaluate the epidemiological trends and variations in the burden of ischemic stroke across BRICS-plus nations in a timely manner. Methods Data on the number, all-age rate, age-standardized rate, and relative change in ischemic stroke disability-adjusted life years (DALYs) from 1992 to 2021 within BRICS-plus were obtained from the Global Burden of Disease Study (GBD) 2021. Relationships between the DALYs rate and the Socio-demographic Index (SDI) were evaluated using Pearson correlation analyses. Additionally, age-period-cohort modeling was employed to estimate net drift, local drift, age, period, and cohort effects over the past three decades. Results From 1992 to 2021, total DALYs due to ischemic stroke increased by 47.14%, while the age-standardized DALYs rate decreased by 33.79%. All BRICS-plus countries exhibited a declining trend in the age-standardized DALYs rate over the past three decades. Egypt reported the highest age-standardized DALYs rate (2,462.60 per 100,000 population) in 2021, whereas the most substantial reduction of 59.37% was observed in Brazil. The annual net drift in the ischemic stroke DALYs rate ranged from -3.04% for Brazil to -0.48% for Egypt among the ten countries. A significant positive correlation was observed between the DALYs rate of ischemic stroke and SDI values. Countries exhibited similar age effect patterns, with an increasing risk of DALYs rate with advancing age. Period and cohort effects highlighted declines in observed nations, indicating improved ischemic stroke management strategies. Conclusion The burden of ischemic stroke showed an overall declining trend across the BRICS-plus from 1992 to 2021, but persistent health inequalities between these countries were driven by socioeconomic disparities. Furthermore, it emphasizes the necessity for targeted interventions across age, period, and cohort dimensions to address the distinct challenges posed by ischemic stroke in these rapidly developing countries.

Testicular cancer (TCa) is a rare but impactful malignancy that primarily affects young men. Understanding the mortality rate of TCa is crucial for improving prevention and treatment strategies to reduce the risk of death among patients. We obtained TCa mortality data by place (5 countries), age (20–79 years), and year (1990–2019) from the Global Burden of Disease Study 2019. Age-period-cohort model was used to estimate the net drift, local drift, age effects, period and cohort effects. In 2019, the global mortality of TCa increased to 10842 (95% UI 9961, 11902), with an increase of 50.08% compared to 1990.The all-age mortality rate for TCa in 2019 increased from 0.17/100,000 (95% UI 0.13, 0.20) in China to 0.48/100,000 (95% UI 0.38, 0.59) in Russian Federation, whereas the age-standardized mortality rate in 2019 was highest in the South Africa 0.47/100,000 (95% UI 0.42, 0.53) and lowest in the China 0.16/100,000 (95% UI 0.13, 0.19). China's aging population shifts mortality patterns towards the elderly, while in Russian Federation, young individuals are primarily affected by the distribution of deaths. To address divergent TCa mortality advancements in BRICS countries, we propose a contextually adaptive and resource-conscious approach to prioritize TCa prevention. Tailoring strategies to contextual diversity, including policy frameworks, human resources, and financial capacities, will enhance targeted interventions and effectiveness in reducing TCa mortality.

Background As a female-specific health problem, pelvic organ prolapse (POP) causes serious damage to the physical and psychological health of numerous women, which poses a significant challenge to women’s health care worldwide, especially in developing countries. We conducted an in-depth analysis of trends in the incidence of POP over the past 30 years globally and in Brazil, Russia, India, China, and South Africa (BRICS countries). Materials and methods Data on the incidence of POP were obtained by location (5 countries), age (15–94 years old), year (1990–2019) from the Global Burden of Disease Study 2019. Age-period-cohort model was used to estimate the net drift, local drift, age effects, period and cohort effects between 1990 and 2019. Results The all-age incidence rate for POP in 2019 increased from 283.28/100,000 (95% UI: 229.97, 340.34) in China to 444.81/100,000 (369.92, 526.15) in Brazil, whereas the age-standardized incidence rate in 2019 was highest in India 400.06/100,000 (325.98, 476.91) and lowest in China 187.74/100,000 (154.21, 224.43). There was an emerging transition of incidences from the young population (15–39 years) to the middle and older population (≥ 40 years) in Brazil and India. The current findings reflect the different age, period, and cohort effects on POP incidence trends at global and BRICS levels. Conclusions The BRICS countries have made different progress in reducing the prevalence of POP. We fully recognize the diversity of internal environments in the BRICS countries and suggest an incremental approach to advancing POP prevention matters based on possible policy-driven human and financial resources in a given setting.

Schistosomiasis is a chronic parasitic disease, which affects the quality of daily life of patients and imposes a huge burden on society. Hepatic fibrosis in response to continuous insult of eggs to the liver is a significant cause of morbidity and mortality. However, the mechanisms of hepatic fibrosis in schistosomiasis are largely undefined. The purpose of our study is to detect the indicator to hepatic fibrosis in schistosomiasis. A total of 488 patients with chronic schistosomiasis japonica were enrolled in our study. The patients were divided into two groups according to liver ultrasound examination, which could indicate liver fibrosis of schistosomiasis with unique reticular changes. Logistic regression analysis showed that globulin, albumin/globulin, GGT levels and anti- Schistosoma IgG were independently associated with liver fibrosis in patients with schistosomiasis and IgG was the largest association of liver fibrosis (OR  2.039, 95% CI 1.293–3.213). We further compared IgG+ patients with IgG− patients. IgG+ patients (ALT 25 U/L, GGT 31 U/L) slightly higher than IgG− patients (ALT 22 U/L, GGT 26 U/L) in ALT and GGT. However, the fibrosis of liver in IgG+ patients (Grade II(19.7%), Grade III(7.3%)) were more severe than that in IgG− patients(Grade II(12.5%), Grade III(2.9%)) according to the grade of liver ultrasonography. Our results showed anti- Schistosoma IgG was independently associated with liver fibrosis in patients with chronic schistosomiasis japonica and patients with persistent anti- Schistosoma IgG might have more liver fibrosis than negative patients despite no obvious clinical signs or symptoms.

This paper addresses the challenges of weak correlation in wheel train mechanism learning, incomplete cam design training steps, and restricted industrial software combination learning in conventional mechanical manufacturing courses. We propose a teaching vehicle design scheme centered on cam structure control. This teaching vehicle amalgamates mechanical design, material selection, transmission calculation, and other mechanical knowledge to assist students in achieving software simulation and actual operation processes, thereby enhancing teaching interactivity and visualization. Furthermore, this teaching vehicle cross-integrates multidisciplinary knowledge, provides a cross-course practice platform, aids students in constructing a comprehensive knowledge system, elucidates the entire process from design to manufacture, and significantly improves the application, practice, and innovation capabilities of mechanical technology. The research findings indicate that this teaching vehicle stimulates students’ interest in learning, fosters their comprehensive engineering application, innovative thinking, and practical problem-solving abilities, offers innovative practical teaching schemes for applied undergraduate colleges and universities, enhances competitiveness in the engineering field, and promotes students’ career development.

Background: Schistosoma japonicum ( S. japonicum ) is the main species of Schistosoma prevalent in China. Myeloid-derived suppressor cells (MDSCs) are important immunoregulatory cells and generally expand in parasite infection, but there is little research relating to MDSCs in Schistosoma infection. Methods: Fifty-six S. japonicum -infected patients were included in this study. MDSCs and percentages and absolute cell numbers of lymphocyte subsets, including CD3+ T cells, CD4+ T cells, CD8+ T cells, B cells and natural killer (NK) cells were detected using flow cytometry. The degree of liver fibrosis was determined using color Doppler ultrasound. Results: Patients infected with S. japonicum had a much higher percentage of MDSCs among peripheral blood mononuclear cells (PBMCs) than the healthy control. Regarding subpopulations of MDSCs, the percentage of granulocytic myeloid-derived suppressor cells (G-MDSCs) was clearly increased. Correlation analysis showed that the absolute cell counts of T-cell subsets correlated negatively with the percentages of MDSCs and G-MDSCs among PBMCs. The percentage of G-MDSCs in PBMCs was also significantly higher in patients with liver fibrosis diagnosed by color doppler ultrasound (grade > 0), and the percentage of G-MDSCs in PBMCs and liver fibrosis grading based on ultrasound showed a positive correlation. Conclusion: S. japonicum infection contributes to an increase in MDSCs, especially G-MDSCs, whose proliferation may inhibit the number of CD4+ T cells in peripheral blood. Meanwhile, there is a close relationship between proliferation of G-MDSCs and liver fibrosis in S. japonicum -infected patients. Contexte : Schistosoma japonicum est la principale espèce de Schistosoma répandue en Chine. Les cellules myéloïdes suppressives (MDSC) sont des cellules immunorégulatrices importantes et se développent généralement lors d’une infection parasitaire, mais il existe peu de recherches sur les MDSC dans l’infection à Schistosoma . Méthodes : Cinquante-six patients infectés par S. japonicum ont été inclus dans cette étude. Les MDSC, les pourcentages et les nombres absolus des sous-ensembles de lymphocytes, notamment les lymphocytes T CD3+ , les lymphocytes T CD4+ , les lymphocytes T CD8+ , les lymphocytes B et les cellules tueuses naturelles (NK) ont été détectés par cytométrie en flux. Le degré de fibrose hépatique a été déterminé par échographie Doppler couleur. Résultats : Les patients infectés par S. japonicum présentaient un pourcentage beaucoup plus élevé de MDSC parmi les cellules mononucléées du sang périphérique (CMSP) que les patients sains. En ce qui concerne les sous-populations de MDSC, le pourcentage de cellules suppressives granulocytaires dérivées de myéloïdes (G-MDSC) était augmenté de manière évidente. L’analyse de corrélation a montré que le nombre absolu des cellules des sous-ensembles de lymphocytes T était en corrélation négative avec les pourcentages de MDSC et de G-MDSC parmi les CMSP. Le pourcentage de G-MDSC dans les CMSP était également significativement plus élevé chez les patients présentant une fibrose hépatique diagnostiquée par échographie Doppler couleur (grade > 0), et le pourcentage de G-MDSC dans les CMSP et le classement de la fibrose hépatique basé sur l’échographie ont montré une corrélation positive. Conclusion : L’infection à S. japonicum contribue à une augmentation des MDSC, notamment des G-MDSC, dont la prolifération pourrait inhiber le nombre de lymphocytes T CD4+ dans le sang périphérique. Parallèlement, il existe une relation étroite entre la prolifération des G-MDSC et la fibrose hépatique chez les patients infectés par S. japonicum .

Image based anomaly detection (AD) refers to the task of predicting an unseen image as the normal class (inliers) or the anomalous classes (outliers) by learning only from normal class training images. Such task is of significant value in real-world applications like monitoring anomalous event from surveillance cameras since most captured data reflect normal conditions but identification of anomalous data is required. One pivot challenge for image anomaly (AD) detection is to learn discriminative information only from normal class training images. Most image reconstruction based AD methods rely on the discriminative capability of reconstruction error. This is heuristic as image reconstruction is unsupervised without incorporating normal-class-specific information. In this paper, we propose an AD method called dual deep reconstruction networks based image decomposition (DDR-ID). The networks are trained by jointly optimizing for three losses: the one-class loss, the latent space constrain loss and the reconstruction loss. After training, DDR-ID can decompose an unseen image into its normal class and the residual components, respectively. Two anomaly scores are calculated to quantify the anomalous degree of the image in either normal class latent space or reconstruction image space. Thereby, anomaly detection can be performed via thresholding the anomaly score. The experiments demonstrate that DDR-ID outperforms multiple related benchmarking methods in image anomaly detection using MNIST, CIFAR-10 and Endosome datasets and adversarial attack detection using GTSRB dataset.

Insufficient liver regenerative capacity poses life-threatening risks to patients following partial hepatectomy (PHx), and existing clinical treatments provide limited options for enhancing regeneration. Lymphatic vasculature plays essential roles in the immune response through the uptake and transport of pathogens, antigens, inflammatory mediators, and antigen-presenting cells. Recent research has shown that lymphangiogenesis may contribute to both heart and bone regeneration. However, the role and underlying mechanisms of intrahepatic lymphangiogenesis in liver regeneration remain unclear. Single-cell RNA sequencing was employed to identify dynamic changes in lymphatic endothelial cells (LyECs) in liver tissues following 70% PHx. A mouse model of liver regeneration was utilized to assess the contribution of intrahepatic lymphangiogenesis to the regenerative process after 70% PHx. Additionally, an adeno-associated virus overexpressing vascular endothelial growth factor-C (AAV-VEGF-C) was used to confirm the role of intrahepatic lymphangiogenesis in liver regeneration. qRT-PCR, western blotting and immunofluorescence staining were performed to investigate the potential underlying mechanisms. Furthermore, a neutralizing rat anti-murine anti-IL-6 antibody (anti-IL-6) was used to verify signaling pathway. Single-cell RNA sequencing analysis revealed dynamic changes of LyECs in liver tissues following 70% PHx. Consistent with these findings, the number and area of intrahepatic lymphatic vessels (LVs) around the portal tract significantly decreased on postoperative day 3 (POD3) in the mouse model of 70% PHx compared to the sham group, but the number and area recovered by POD7. Additionally, vascular endothelial growth factor-C(VEGF-C), a pro-lymphangiogenic growth factor, was found to increase in the liver of the 70% PHx mouse model. Stimulation of lymphangiogenesis with AAV-VEGF-C significantly accelerated liver regeneration and repair. Mechanistically, intrahepatic lymphangiogenesis might accelerate liver regeneration by the activation of the IL-6/STAT3 pathway. Blocking IL-6 reversed lymphangiogenesis-accelerated liver regeneration. Intrahepatic lymphangiogenesis may contribute to early liver regeneration after PHx, with partial dependence on IL-6/STAT3 signaling. These findings support further investigation of lymphatic-modulating approaches as potential adjuncts to enhance postoperative recovery after PHx, particularly in selected contexts.