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Estimating the impact of pesticide residue bioaccessibility in fruits on dietary exposure is a complex task in human health risk assessment. This research investigated the bioaccessibility of ten commonly used and detected pesticides in bananas and mangoes, as well as the factors influencing it, using an in vitro model. The highest bioaccessibility was observed at pH levels of 2.5 and 6.5 in the gastric and intestinal stages, respectively. Bioaccessibility decreased significantly with increasing solid/liquid ratios for most pesticides. The consumption of protein and four dietary components (carbohydrates, protein, lipids, and dietary fiber) could significantly reduce pesticide bioaccessibility by 9.89–48.32% (p < 0.05). Bioaccessibility in oral and gastric stages among four populations followed the order of adults/the elderly > children > infants, due to decreasing concentrations of α-amylase and pepsin. Pesticides in bananas generally exhibited a higher bioaccessibility (18.65–82.97%) compared to that in mangoes (11.68–87.57%). Bioaccessibility showed a negative correlation with the Log P values of the target pesticide, while no clear relationship was found between bioaccessibility and initial pesticide concentrations. Incorporating bioaccessible pesticide concentrations into risk assessments could lower dietary risk estimates by 11.85–79.57%. Assessing human exposure to pesticides based on bioaccessibility would greatly improve the accuracy of the risk assessment. [ABSTRACT FROM AUTHOR]

Objectives: To evaluate physicians' awareness and knowledge towards pediatric nonalcoholic fatty liver disease (NAFLD) and their attitude toward change in nomenclature from NAFLD to metabolic dysfunction‐associated fatty liver disease (MAFLD) or metabolic dysfunction‐associated steatotic liver disease (MASLD) in China. Methods: The questionnaire survey contained five parts (characteristics of the participants, epidemiology, diagnosis, management of NAFLD, and attitudes toward the nomenclature of MAFLD/MASLD). The participants included 53 hepatologists, 88 gastroenterologists (GEs), 74 endocrinologists (ENDOs), 61 primary care physicians (PCPs), and 157 pediatricians across 31 municipalities, provinces and autonomous regions of China's mainland. Results: Hepatologists saw the largest number of pediatric NAFLD patients annually (median 9 [range 1–20]), with the lowest number by PCPs (even notwithstanding one patient annually). The primary sources of pediatric NAFLD knowledge were acquired via guidelines. Hepatologists had the highest total knowledge score among all five types of physicians. Approximately one‐third of nonspecialists (ENDOs and PCPs) considered liver biopsy necessary for pediatric NAFLD patients, and this percentage increased to half in specialists (hepatologists and GEs). For nonspecialists, the major barriers to the management of pediatric NAFLD were poor patient adherence to lifestyle modifications and lacking confidence in managing NAFLD. Above 90% physicians agreed to change the nomenclature NAFLD to MAFLD; however, they were not sure whether it could reduce the economic burden. Conclusions: Despite the epidemic of pediatric NAFLD in China, a significant knowledge gap remains in the identification, diagnosis, and treatment of pediatric NAFLD, particularly among frontline workers such as pediatricians and PCPs. More education programs should be carried out in the future. [ABSTRACT FROM AUTHOR]

Background: Patients with Eastern Cooperative Oncology Group performance status (ECOG PS) 2 probably cannot tolerate chemotherapy or other antitumor therapies. Some studies have reported that immunotherapy combined with antiangiogenic therapy is well‐tolerated and shows good antitumor activity. However, the efficacy of this combination as a later‐line therapy in patients with ECOG PS 2 is unclear. This study evaluated the effectiveness and safety of this combination strategy as third‐ or further‐line therapy in stage IV non‐small cell lung cancer (NSCLC) patients with ECOG PS 2. Methods: In this retrospective study, patients treated with camrelizumab plus antiangiogenic therapy (bevacizumab, anlotinib, or recombinant human endostatin) were included. Objective response rate (ORR), disease control rate (DCR), progression‐free survival (PFS), overall survival (OS), quality of life (QOL) assessed by ECOG PS, and safety were analyzed. Results: Between January 10, 2019, and February 28, 2024, a total of 59 patients were included. The ORR was 35.6% (21/59) and the DCR was 86.4%. With a median follow‐up of 10.5 months (range: 0.7–23.7), the median PFS was 5.5 months (95% confidence interval [CI]: 3.8–7.3) and the median OS was 10.5 months (95% CI: 11.2–13.6). QOL was improved (≥1 reduction in ECOG PS) in 39 patients (66.1%). The most common Grade 3–4 treatment‐related adverse events were hepatic dysfunction (6 [10%]), hypertension (5 [8%]), and hypothyroidism (3 [5%]). There were no treatment‐related deaths. Conclusions: Third‐ or further‐line immunotherapy combined with antiangiogenic therapy is well‐tolerated and shows good antitumor activity in stage IV NSCLC patients with ECOG PS 2. Future large‐scale prospective studies are required to confirm the clinical benefits of this combination therapy. [ABSTRACT FROM AUTHOR]

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Titanium-containing furnace slag from Panzhihua, Sichuan used as the raw material, a submicron sheet-like silicon-based titanium dioxide photocatalyst was synthesized by hydrothermal-acidification-calcination process. The effects of alkaline concentration, hydrothermal reaction time, and hydrothermal temperature on the synthesis of photocatalyst were systematically investigated. The results showed that the optimal preparation conditions were: hydrothermal temperature of 180 °C, alkaline concentration of 15 mol/L, and hydrothermal reaction time of 24 h. The silicon-based titanium dioxide photocatalyst with submicron sheet-like structure showed stable performance and the best crystallinity with the coexistence of anatase and rutile phases. Under UV light irradiation, the photocatalytic degradation rate of methylene blue after 90 min reached 94.25%, and the degradation rates of methylene blue and methyl orange after 120 min were 97.37% and 92.15%; under visible light irradiation, the maximum methylene blue removal rate was 77.85% after 120 min. [ABSTRACT FROM AUTHOR]

Aiming at the problem of low categorization accuracy and uneven distribution of the traditional text classification algorithms，a text classification algorithm based on deep learning has been put forward. Deep belief networks have very strong feature learning ability，which can be extracted from the high dimension of the original feature，so that the text classification can not only be considered，but also can be used to train classification model. The formula of TF-IDF is used to compute text eigenvalues，and the deep belief networks are used to construct the classifier. The experimental results show that compared with the commonly used classification algorithms such as support vector machine，neural network and extreme learning machine，the algorithm has higher accuracy and practicability，and it has opened up new ideas for the research of text classification.