Long-term monitoring chlorophyll-a concentration using HJ-1 A/B imagery and machine learning algorithms in typical lakes, a cold semi-arid region.

Chlorophyll a (Chl-a) in lakes serves as an effective marker for assessing algal biomass and the nutritional level of lakes, and its observation is feasible through remote sensing methods. HJ-1 (Huanjing-1) satellite, deployed in 2008, incorporates a CCD capable of a 30 m resolution and has a revisit interval of 2 days, rendering it a superb choice or supplemental sensor for monitoring trophic state of lakes. For effective long-term and regional-scale mapping, both the imagery and the evaluation of machine learning algorithms are essential. The several typical machine learning algorithms, i.e., Support Vector Regression (SVR), Gradient Boosting Decision Trees (GBDT), XGBoost (XGB), Random Forest (RF), K-Nearest Neighbor (KNN), Kernel Ridge Regression (KRR), and Multi-Layer Perception Network (MLP), were developed using our in-situ measured Chl-a. A cross-validation grid to identify the most effective hyperparameter combinations for each algorithm was used, as well as the selected optimal superparameter combinations. In Chl-a mapping of three typical lakes, the R2 of GBDT, XGB, RF, and KRR all reached 0.90, while XGB algorithm also exhibited stable performance with the smallest error (RMSE = 3.11 µg/L). Adjustments were made to align the Chl-a spatial-temporal patterns with past data, utilizing HJ1-A/B CCD images mapping through XGB algorithm, which demonstrates its stability. Our results highlight the considerable effectiveness and utility of HJ-1 A/B CCD imagery for evaluation and monitoring trophic state of lakes in a cold arid region, providing the application cases contribute to the ongoing efforts to monitor water qualities.

Several first-line anti-hypertensives act on fibrosarcoma progression and PD1ab blockade therapy.

PURPOSE: Patients are typically diagnosed with both hypertension and fibrosarcoma. Medical oncologists must prescribe suitable anti-hypertensive medications while considering anti-tumor drugs. Recently, immunotherapy has become prominent in cancer treatment. Nonetheless, it is unknown what role anti-hypertensive medications will play in immunotherapy. METHODS: We examined the effects of six first-line anti-hypertensive medications on programmed cell death protein 1 antibody (PD1ab) in tumor treatment using a mouse model of subcutaneous fibrosarcoma. The drugs examined were verapamil, losartan, furosemide, spironolactone, captopril, and hydrochlorothiazide (HCTZ). The infiltration of CD8+ T cells was examined by immunohistochemistry. Additionally, several in vitro and in vivo assays were used to study the effects of HCTZ on human fibrosarcoma cancer cells to explore its mechanism. RESULTS: Verapamil suppressed tumor growth and showed an improved effect on the tumor inhibition of PD1ab. Captopril did not affect tumor growth but brought an unexpected benefit to PD1ab treatment. In contrast, spironolactone and furosemide showed no effect on tumor growth but had an offset effect on the PD1ab therapy. Consequently, the survival time of mice was also significantly reduced. Notably, losartan and HCTZ, especially HCTZ, promoted tumor growth and weakened the effect of PD1ab treatment. Consistent results were observed in vivo and in vitro using the human fibrosarcoma cell line HT1080. We determined that the Solute Carrier Family 12 Member 3 (SLC12A3), a known target of HCTZ, may be the principal factor underlying its effect-enhancing properties through mechanism studies employing The Cancer Genome Atlas (TCGA) data and in vivo and in vitro assays. CONCLUSION: Verapamil and captopril potentiated the anti-tumor effect of PD1ab, whereas spironolactone and furosemide weakened the effect of PD1ab on tumor inhibition. Alarmingly, losartan and HCTZ promoted tumor growth and impaired the effect of PD1ab. Furthermore, we preliminarily found that HCTZ may promote tumor progression through SLC12A3. Based on this study, futher mechanism researches and clinical trials should be conducted in the future.

Associations of Attitudes and Practice Toward Oral Health, Socioeconomic Status, Self-Rated Oral Health, Subjective Oral Symptoms, and Oral Health-Related Quality of Life Among Residents in Eastern China: A Structural Equation Modeling Approach.

Background and Purpose: The purpose of this study was to investigate the relationships among attitudes and practice about oral health, socioeconomic status, subjective oral symptoms, self-rated oral health, and oral health-related quality of life (OHRQoL) in a group of people from eastern China. Methods: Between January 2021 to February 2022, 2502 (87.4%) of the 2863 participants completed an online questionnaire. OHRQoL, Socio-demographics characteristics, attitudes and practice toward oral health, self-rated oral health and subjective oral symptoms were all covered by the questionnaires. Based on the hypothetical model, structural equation modeling with the bootstrap method was used to examine the interactions and the strength of the correlations between the measured variables. Results: The final model demonstrated acceptable data fit. Socioeconomic status (ß = -0.051), attitudes (ß = -0.100) and practice (ß = -0.127) toward oral health, self-rated oral health (ß = -0.493) and subjective oral symptoms (ß = 0.294) were all significantly correlated with OHRQoL. Socioeconomic status was directly linked to attitudes (ß = 0.046) and practice (ß =0.070) about oral health, and attitudes play the role of intermediary between practice and socioeconomic status (ß = 0.018). OHRQoL was indirectly linked with attitudes mediated by practice (ß = -0.092), practice mediated by subjective oral symptoms (ß = -0.107), subjective oral symptoms mediated by self-rated oral health (ß = 0.031). OHRQoL was correlated with income, educational level, and socioeconomic status. Self-rated oral health was related to educational level and socioeconomic status. Conclusion: In a sample of eastern China residents, OHRQoL was influenced by socioeconomic status, attitudes and practice toward oral health, subjective oral symptoms, and self-rated oral health.

Associations Among Self-rated Oral Health, Subjective Oral Conditions, Oral Health Behaviours, and Oral Healthrelated Quality of Life (OHRQoL).

PURPOSE: To evaluate the relationship between self-rated oral health, subjective oral conditions, oral health behaviours, and oral health-related quality of life (OHRQoL) in Chinese college students. MATERIALS AND METHODS: An online cross-sectional survey was conducted, inviting college students from eastern China to participate. A total of 1708 participants were included. A structural equation model was constructed to explain and assess the associations among self-rated oral health, subjective oral conditions, oral health behaviours, and OHRQoL. RESULTS: Self-rated oral health had a direct positive effect on subjective oral conditions and OHRQoL. Oral health behaviours had direct negative impacts on subjective oral conditions and OHRQoL as well as on tooth condition perception and oral health interventions. Subjective oral conditions had a direct positive effect on OHRQoL. There was a positive correlation between oral health behaviours and self-rated oral health. In addition, subjective oral conditions partially mediated both the effect of oral health behaviours on OHRQoL and the effect of self-rated oral health on OHRQoL. CONCLUSION: There were influential associations between self-rated oral health, subjective oral conditions, oral health behaviours, and OHRQoL among college students in eastern China. Making the most of their association can be a guide to radically improving the oral health of college students.