Cenchrus fungigraminus is a new species and is largely used as forage and mushroom substrate. However, it can usually not be planted on farmland on account of local agricultural land policy. Interplanting Cenchrus fungigraminus with other crops annually (short-term) is an innovative strategy to promote the sustainable development of the grass industry in southern China. To further investigate this, C. fungigraminus mono-planting (MC), C. fungigraminus-potato interplanting (CIP) and C. fungigraminus-broad bean interplanting (CIB) were performed. Compared to MC, soil microbial biomass carbon (SMBC), soil organic matter (SOM), ammoniacal nitrogen (AMN), pH and soil amino sugars had a positive effect on the rhizosphere soil of CIP and CIB, as well as enhancing soil nitrogenase, nitrite reductase, and peroxidase activities (p < 0.05). Moreover, CIP improved the root vitality (2.08 times) and crude protein (1.11 times). In addition, CIB enhanced the crude fiber of C. fungigraminus seedlings. These two interplanting models also improved the microbial composition and diversity (Actinobacteria, Firmicutes, and Bacteroidota, etc.) in the rhizosphere soil of C. fungigraminus seedlings. Among all the samples, 189 and 59 genes were involved in methane cycling and nitrogen cycling, respectively, which improved the presence of the serine cycle, ribulose monophosphate, assimilatory nitrate reduction, methane absorption, and glutamate synthesis and inhibited denitrification. Through correlation analysis and the Mantel test, the putative functional genes, encoding functions in both nitrogen and methane cycling, were shown to have a significant positive effect on pH, moisture, AMN, SOM, SMBC, and soil peroxidase activity, while not displaying a significant effect on soil nitrogenase activity and total amino sugar (p < 0.05). The short-term influence of the interplanting model was shown to improve land use efficiency and economic profitability per unit land area, and the models could provide sustainable agricultural production for rural revitalization.

Conventional plastics are widely present in the ocean as marine plastic debris. This in-situ study investigates the degradability and fragmentation of seven common conventional plastics (PET, PVC, PS, EPS, PP, HDPE, and LDPE) in natural marine environments over a 40-day period. All plastics showed significant chemical changes and oscillating plastic oxidation levels, indicating the synergistic processes of oxidation and removal of oxidation products. Polystyrenes and polymers with heteroatoms showed the largest degradation potentials, while pure polyolefins exhibited the highest fragmentation risks. SEM images suggest potentials of EPS and pure polyolefins in generating microplastic fragments, and polymers with heteroatoms in generating nanoplastic fragments. PS did not exhibit any surface degradation signs, potentially due to enhanced crystallinity through oxidation. The findings highlight the need for reduced usage of EPS and pure polyolefins which are commonly applied as disposable utensils and food packaging, and prioritized cleanup of these polymers to reduce microplastic pollution in the environment.

The aim of the present study was to determine the relationship between dose of oxybutynin and reduction in detrusor pressure in individuals with neurogenic bladder (NGB) secondary to spinal cord injury (SCI). The hospital-based data were examined for all individuals with NGB and SCI who were admitted for urological evaluation between January 1999 and December 2016. Patient characteristics, urodynamics and bladder management details were collected at pre-treatment and post-treatment. The primary outcome used to assess oxybutynin treatment was the change in detrusor pressure (Pdet). Analysis of covariance (ANCOVA) was used to investigate the relationship between dosage of oxybutynin and decrease in Pdet. A total of 245 participants (112 who received no medication and 133 treated with oxybutynin) were included. After controlling for confounding factors, each 1 mg increase in oxybutynin was associated with a mean decrease of 0.9 cmH2O in Pdet (95% CI, -1.4 to -0.3). Stratifying bladder management by indwelling catheter, oxybutynin at a dose of 1 mg was associated with a mean decrease in Pdet of 0.5 cmH2O (95% CI, -1.4 to 0.4) in patients with indwelling catheters and 1.0 cmH2O (95% CI, -1.7 to -0.3) in patients with clean intermittent catheterization and balanced bladder. This study provided guidance for setting the starting dose of drugs associated with response variability in NGB with SCI. Oxybutynin is deemed to be clinically effective for managing NGB in patients with SCI.

OBJECTIVE: Acute pulmonary embolism (PE) is a potentially life-threatening condition characterized by the sudden blockage of the pulmonary arteries. Although the MAGGIC risk score has emerged as a valuable tool in predicting outcomes in patients with chronic heart failure, it has also been demonstrated and identified as a prognostic model in various cardiac diseases other than heart failure. In this study, we aimed to investigate the relationship between MAGGIC score and adverse outcomes in patients with PE.
METHODS: A total of 302 consecutive patients diagnosed with acute PE were retrospectively included in the present study. For each patient, the MAGGIC score was calculated. The study population was divided into two groups according to the median value of MAGGIC score.
RESULTS: Patients with high MAGGIC score had a significantly higher proportion of elderly and female individuals, lower BMI, higher presence of CAD, DM, AFib, HF, HT, CKD, COPD, and ACEI/ARB and NOAC usage. Logistic regression analyses was carried out using univariate and multivariate analysis to predict the in-hospital and 30-day mortality predictors in the included PE patients. For in-hospital mortality, diastolic blood pressure, heart rate, RV dilatation, and the MAGGIC score (HR: 1.166, 95 % CI 1.077-1.263, p < 0.001) and for short-term mortality, sPESI and the MAGGIC score (HR: 1.925, 95 % CI 1.243-2.983, p:0.003) were found to be independent predictors for adverse outcomes in patients with acute PE.
CONCLUSIONS: Our study demonstrates that the MAGGIC score can be applied as a valuable prognostic tool for acute pulmonary embolism.

UNASSIGNED: Disorders of consciousness (DoC) represent a spectrum of neurological conditions that pose significant treatment challenges. Percutaneous short-term spinal cord stimulation (SCS) has emerged as a promising experimental diagnostic treatment to assess and potentially improve consciousness levels. However, the effectiveness of this intervention is frequently compromised by the shift of electrodes, particularly in the cervical region, which can negatively affect therapeutic outcomes.
UNASSIGNED: This retrospective study aimed to study if electrodes shift in percutaneous short-term SCS in patients with DoC would affect the outcome. We analyzed the relationship between electrode shift length and patient outcome, as well as the correlation with various anatomical parameters, including the actual length of the cervical spine, linear length, spinal canal transverse diameter, spinal canal diameter, and C2 cone height, in a cohort of patients undergoing the procedure.
UNASSIGNED: Our findings revealed that in patients with better outcome, there are significant less patient with electrode shift (p = 0.019). Further, a linear correlation was found between the length of electrode shift and patients\' outcome (Rho = 0.583, p = 0.002), with longer shift lengths associated with poorer outcomes. Contrary to our expectations, there was no significant association between the measured anatomical parameters and the extent of electrode shift. However, a trend was found between the actual length of the cervical spine and the shift of the electrode (p = 0.098). Notably, the shorter spinal canal transverse diameter was found to be significantly associated with better outcome in patients with DoC receiving percutaneous short-term SCS (p = 0.033).
UNASSIGNED: These results highlight the clinical importance of electrode stability in the cervical region during SCS treatment for patients with DoC. Ensuring secure placement of electrodes may play a crucial role in enhancing patients\' outcome and minimize postoperative complications. Given the lack of association with expected anatomical parameters, future research should investigate other factors that could impact electrode stability to optimize this therapeutic intervention.

The aim of this study was to explore the feasibility and preliminary effectiveness of a short-term, manualized schema therapy group for 77 patients with CBT-resistant mood and/or anxiety and/or personality disorders (PDs) in primary care. The primary focus was on the effects of this treatment on Early Maladaptive Schemas (EMS), schema modes, and psychological well-being. These aspects were assessed pre-and post-treatment treatment using the Young Schema Questionnaire (YSQ), the Schema Mode Inventory version 1.1 (SMI), and the Symptom Questionnaire-48 (SQ-48). The treatment consisted of 16 sessions, incorporating cognitive, behavioral, and experiential techniques. EMS significantly decreased from pre-treatment to post-treatment, as along with maladaptive schema modes. Adaptive modes increased, as did psychological wellbeing. There were no significant differences between the DSM-5 classifications regarding changes in the aforementioned measures, except for the maladaptive modes, where the value of the corrected within-subject effect indicated a significant interaction. Post hoc comparisons were therefore conducted which showed that patients with a mood disorder experienced more positive changes in maladaptive modes compared to patients with anxiety disorders and PDs (p < 0.001). There was no significant difference between those with PDs and those with Anxiety Disorders. Our findings provide preliminary evidence that short-term, manualized schema therapy might be an effective treatment for patients with CBT-resistant mood and/or anxiety and/or PDs in primary care.

Primary gaseous air pollutants have been associated with death from multiple causes, however, it remains unknown if they play a role in premature mortality among individuals living with HIV/AIDS. Data on HIV/AIDS patients were collected from the Hubei Provincial Center for Disease Control and Prevention, with a total of 1,467 AIDS-related deaths (ARD) between 2013 and 2020. Daily mean sulfur dioxide (SO2), nitrogen dioxide (NO2), and carbon monoxide (CO) were generated by artificial intelligence algorithms combined with big data. We employed a time-stratified case-crossover approach and conditional logistical regression models to investigate the acute effects of primary gaseous air pollutants on ARD. Per interquartile range increase in the concentrations of SO2 was significantly linked with ARD, with a corresponding odds ratio (OR) of 1.17 [95% confidence intervals (CIs): 1.01, 1.35] at lag 4 day. Furthermore, our findings indicated that males exhibited a heightened vulnerability to the adverse effects of SO2 and NO2, for example, the ORs were 1.24 (95% CIs: 1.05, 1.47) and 1.16 (95% CIs: 1.01, 1.34), respectively. Moreover, individuals aged over 65 years were more susceptible to SO2 and CO. Additionally, we identified the warm season as a sensitive period for mortality associated with SO2 and NO2. Our study furnished fresh evidence regarding the detrimental effects of primary gaseous air pollutants on ARD.

BACKGROUND: Previous research examining the relationship between loneliness and depressive symptoms often treated these constructs as static traits rather than dynamic states. The current study focused on the short-term, prospective link between loneliness and depressive symptoms, while also analyzing potential gender differences.
METHODS: We modeled panel data from seven bi-weekly assessments gathered in the FRequent health Assessment In Later life (FRAIL70+) study. At baseline, the sample size amounted to N = 426 community-dwelling older adults aged 70 years or older in Austria. The relationship between loneliness and depressive symptoms was analyzed using a latent change score modeling framework.
RESULTS: As regards depressive symptoms, women showed higher initial levels and more change across the three months than men. Loneliness did not considerably change across time for both sexes. Moreover, greater levels of loneliness at a given point in time were associated with an accelerated increase in depressive symptoms two weeks later in women but not in men.
CONCLUSIONS: Loneliness appeared to be a potential determinant of future increases in depressive symptoms. The varying effects observed between men and women suggest potential gender differences in short-term fluctuations of depressive symptoms and their underlying mechanisms.

Due to the uncertainty of weather conditions and the nonlinearity of high-dimensional data, as well as the need for a continuous and stable power supply to the power system, traditional regression analysis and time series forecasting methods are no longer able to meet the high accuracy requirements of today\'s PV power forecasting. To significantly improve the prediction accuracy of short-term PV output power, this paper proposes a short-term PV power forecasting method based on a hybrid model of temporal convolutional networks and gated recurrent units with an efficient channel attention network (TCN-ECANet-GRU) using the generated data of an Australian PV power station as the research object. First, temporal convolutional networks (TCNs) are used as spatial feature extraction layers, and an efficient channel attention network (ECANet) is embedded to enhance the feature capture capability of the convolutional network. Then, the GRU is used to extract the timing information for the final prediction. Finally, based on the experimental validation, the TCN-ECANet-GRU method generally outperformed the other baseline models in all four seasons of the year according to three performance assessment metrics: the normalized root mean square error (RMSE), normalized mean absolute error (MAE) and coefficient of determination (R2). The best RMSE, MAE and R2 reached 0.0195, 0.0128 and 99.72%, respectively, with maximum improvements of 11.32%, 8.57% and 0.38%, respectively, over those of the suboptimal model. Therefore, the model proposed in this paper is effective at improving prediction accuracy. Using the proposed method, this paper concludes with multistep predictions of 3, 6, and 9 steps, which also indicates that the proposed method significantly outperforms the other models.

With the development of technology and industry, the problem of global air pollution has become difficult to ignore. We investigated the association between air pollutant concentrations and daily all-cause mortality and stratified the analysis by sex, age, and season. Data for six air pollutants [fine particulate matter (PM2.5), inhalable particles (PM10), nitric dioxide (NO2), sulfur dioxide (SO2), ozone (O3), and carbon monoxide (CO)] and daily mortality rates were collected from 2015 to 2019 in Guangzhou, China. A time-series study using a quasi-Poisson generalized additive model was used to examine the relationships between environmental pollutant concentrations and mortality. Mortality data for 296,939 individuals were included in the analysis. The results showed that an increase of 10 μg/m3 in the concentrations of PM2.5, PM10, SO2, O3, NO2, and CO corresponded to 0.84% [95% confidence interval (CI): 0.47, 1.21%], 0.70% (0.44, 0.96%), 3.59% (1.77, 5.43%), 0.21% (0.05, 0.36%), 1.06% (0.70, 1.41%), and 0.05% (0.02, 0.09%), respectively. The effects of the six air pollutants were more significant for male individuals than female individuals, the cool season than the warm season, and people 75 years or older than those younger than 75 years. PM2.5, PM10, SO2, and NO2 were all associated with neoplasms and circulatory and respiratory diseases. The two-pollutant models found that PM2.5, PM10, and NO2 may independently affect the risk of mortality. The results showed that exposure to PM2.5, PM10 and NO2 may increase the risk of daily all-cause excessive mortality in Guangzhou.