Developing an interpretable machine learning model for screening depression in older adults with functional disability.

This study utilized data from the 2020 wave of the China Health and Retirement Longitudinal Study database, selecting 4322 participants aged 60 and above as the study sample. Important predictors of depression in older adults with functional disabilities were identified using LASSO regression, univariate logistic regression, and multivariate logistic regression. Five different machine learning algorithms-Logistic Regression, Random Forest, Gradient Boosting, K-Nearest Neighbors, and Naive Bayes-were employed to construct risk prediction models for depression in older adults with functional disabilities.

The Impact of Physical Exercise on Sleep Quality Among College Students: The Chain Mediating Effects of Perceived Stress and Ruminative Thinking.

Purpose: This study aimed to investigate the relationship between physical exercise and sleep quality among college students, focusing on the chain mediating roles of perceived stress and ruminative thinking.

Participants And Methods: A total of 955 college students completed questionnaires, including the Physical Activity Rating Scale (PARS-3), the Pittsburgh Sleep Quality Index (PSQI), the Perceived Stress Scale (PSS), and the Ruminative Thinking Response Scale (RRS). The PROCESS macro Model 6 and Bootstrap methods were used to analyze the mediating effects of perceived stress and ruminative thinking.

Optimizing application of dairy effluent with synthetic N fertilizer reduced nitrogen leaching in clay loam soil.

High application rates of dairy effluent and manure are often associated with nitrogen (N) leaching, which can affect groundwater quality. Here, we used a lysimeter to examine N leaching losses and biomass yield following application of dairy effluent and manure under wheat-maize cropping. The field experiment included seven treatments: no N fertilizer (Control); 200/300 kg N ha synthetic N fertilizer only (wheat/maize) (CN); 100/150 kg N ha synthetic N fertilizer plus 100/150 (DE1), 150/200 (DE2) and 250/350 (DE3) kg N ha dairy effluent; 100/150 kg N ha synthetic fertilizer plus 100/150 kg N ha dairy manure (SM1); and 150/225 kg N ha synthetic fertilizer plus 50/75 kg N ha dairy manure (SM2).

A safety and efficacy study of allogeneic haematopoietic stem cell transplantation for refractory and relapsed T-cell acute lymphoblastic leukaemia/lymphoblastic lymphoma patients who achieved complete remission after autologous CD7 chimeric antigen receptor T-cell therapy.

CD7-targeted chimeric antigen receptor T-cell (CAR-T) therapy has shown promising initial complete remission (CR) rates in patients with refractory or relapsed (r/r) T-cell acute lymphoblastic leukaemia and lymphoblastic lymphoma (T-ALL/LBL). To enhance the remission duration, consolidation with allogeneic haematopoietic stem cell transplantation (allo-HSCT) is considered. Our study delved into the outcomes of 34 patients with r/r T-ALL/LBL who underwent allo-HSCT after achieving CR with autologous CD7 CAR-T therapy.

Climatic zone effects of non-native plant invasion on CH and NO emissions from natural wetland ecosystems.

Plant invasion can significantly alter the carbon and nitrogen cycles of wetlands, which potentially affects the emission of greenhouse gases (GHGs). The extent of these effects can vary depending on several factors, including the species of invasive plants, their growth patterns, and the climatic conditions prevailing in the wetland. Understanding the global effects of plant invasion on the emission of methane (CH) and nitrous oxide (NO) is crucial for the climate-smart management of wetlands.

Analysis benefits of a second Allo-HSCT after CAR-T cell therapy in patients with relapsed/refractory B-cell acute lymphoblastic leukemia who relapsed after transplant.

Background: Chimeric antigen receptor (CAR) T-cell therapy has demonstrated high initial complete remission (CR) rates in B-cell acute lymphoblastic leukemia (B-ALL) patients, including those who relapsed after transplant. However, the duration of remission requires improvements. Whether bridging to a second allogeneic hematopoietic stem cell transplant (allo-HSCT) after CAR-T therapy can improve long-term survival remains controversial.

Non-native with biological nitrification inhibition capacity stimulates grassland NO emissions.

Introduction: , a tropical grass, could release root exudates with biological nitrification inhibition (BNI) capacity and reduce soil nitrous oxide (NO) emissions from grasslands. However, evidence of the reduction effect in tropical grasslands in China is lacking.

Methods: To evaluate the potential effects of .

Prognostic factors of second hematopoietic allogeneic stem cell transplantation among hematological malignancy patients relapsed after first hematopoietic stem cell transplantation: A single center study.

Introduction: We aimed to evaluate prognostic factors of a second allogeneic stem cell transplantation (allo-HSCT2) among hematological malignancy patients who have relapsed after the first allo-HSCT(allo-HSCT1).

Methods: We retrospectively analyzed 199 hematological malignancy patients who received allo-HSCT2 as a salvage treatment post allo-HSCT1 relapse between November 2012 and October 2021.

Results: The median age at allo-HSCT2 was 23 (range: 3-60) years.

Gynecological complications in long-term survivors after allogeneic hematopoietic cell transplantation-a single-center real-life cross-sectional study.

Background And Objectives: Hematopoietic stem cell transplantation (HCT) is a treatment for hematopoietic diseases. However, most cured female patients may suffer from premature ovarian insufficiency (POI) after HCT, which is mainly caused by the pre-HCT conditioning regimen. Hence, this study aims to explore the impact of HCT treatment on reproductive and ovarian functions in female survivors.

Non-native plant invasion can accelerate global climate change by increasing wetland methane and terrestrial nitrous oxide emissions.

Approximately 17% of the land worldwide is considered highly vulnerable to non-native plant invasion, which can dramatically alter nutrient cycles and influence greenhouse gas (GHG) emissions in terrestrial and wetland ecosystems. However, a systematic investigation of the impact of non-native plant invasion on GHG dynamics at a global scale has not yet been conducted, making it impossible to predict the exact biological feedback of non-native plant invasion to global climate change. Here, we compiled 273 paired observational cases from 94 peer-reviewed articles to evaluate the effects of plant invasion on GHG emissions and to identify the associated key drivers.

Long-Term Compost Amendment Spurs Cellulose Decomposition by Driving Shifts in Fungal Community Composition and Promoting Fungal Diversity and Phylogenetic Relatedness.

Cellulose is the most abundant polysaccharide in plant biomass and an important precursor of soil organic matter formation. Fungi play a key role in carbon cycling dynamics because they tend to decompose recalcitrant materials. Here, we applied [C]cellulose and [C]cellulose to distinguish the effects of application of compost, nitrogen-phosphorus-potassium (NPK) fertilizer, and no fertilizer (control) for 27 years upon cellulose decomposition via RNA-based stable isotope probing (RNA-SIP).

Fungal key players of cellulose utilization: Microbial networks in aggregates of long-term fertilized soils disentangled using C-DNA-stable isotope probing.

Long-term compost application accelerates organic carbon (C) accumulation and macroaggregate formation in soil. Stable aggregates and high soil organic C (SOC) content are supposed to increase microbiota activity and promote transformation of litter compounds (i.e.

Combined biochar and double inhibitor application offsets NH and NO emissions and mitigates N leaching in paddy fields.

The effects of combined biochar and double inhibitor application on gaseous nitrogen (N; nitrous oxide [NO] and ammonia [NH]) emissions and N leaching in paddy soils remain unclear. We investigated the effects of biochar application at different rates and double inhibitor application (hydroquinone [HQ] and dicyandiamide [DCD]) on NH and NO emissions, N leaching, as well as rice yield in a paddy field, with eight treatments, including conventional urea N application at 280 kg N ha (CN); reduced N application at 240 kg N ha (RN); RN + 7.5 t ha biochar (RNB1); RN + 15 t ha biochar (RNB2); RN + HQ + DCD (RNI); RNB1 + HQ + DCD (RNIB1); RNB2 + HQ + DCD (RNIB2); and a control without N fertilizer.