Comparative and synergistic impacts of lime and biochar on soil properties, nitrogen transformation, and microbial function in acidic soils under tobacco cropping.

Introduction: Lime and biochar are widely utilized to enhance nitrogen utilization in crops grown on acidic soils, though each has its own set of limitations. Understanding their combined effects is crucial for optimizing soil remediation strategies.

Methods: This study investigates the impact of lime and biochar on nitrogen utilization efficiency (NUE) in a tobacco monoculture system, which has been practiced for 20 years on acidified soils in Fuzhou, southeastern China, over the period from 2021 to 2022.

A framework for the construction of effective landscape ecological network with integrating hydrological connectivity: A case study in Dongjiang River Basin, China.

The rise in frequency of extreme climate events has led to notable variation in water storage capacity within many basins around the world, resulting in the simultaneous occurrence of seasonal water shortages and flooding issues. The development of a basin landscape ecological network that is grounded in hydrological connectivity has the potential to markedly improve ecosystem resilience in the basin as well as to facilitate the integrated advancement of ecological conservation and water resource management. This study assessed the hydrological connectivity of the Dongjiang River Basin, China, in terms of Euclidean distance, over the period from 2000 to 2023.

Causal-inference machine learning reveals the drivers of China's 2022 ozone rebound.

Ground-level ozone concentrations rebounded significantly across China in 2022, challenging air quality management and public health. Identifying the drivers of this rebound is crucial for designing effective mitigation strategies. Commonly used methods, such as chemical transport models and machine learning, provide valuable insights but face limitations-chemical transport models are computationally intensive, while machine learning often fails to address confounding factors or establish causality.

Radiomics in rectal cancer: current status of use and advances in research.

Rectal cancer is a leading cause of morbidity and mortality among patients with malignant tumors in China. In light of the advances made in therapeutic approaches such as neoadjuvant therapy and total mesorectal excision, precise preoperative assessment has become crucial for developing a personalized treatment plan. As an emerging technology, radiomics has gained widespread application in the diagnosis, assessment of treatment response, and analysis of prognosis for rectal cancer by extracting high-throughput quantitative features from medical images.

Improved diagnosis of small cervical lymph node metastasis using postvascular phase perfluorobutane CEUS in cancer patients.

Background: Accurate identification of small metastatic lymph nodes (LNs) remains a significant challenge with conventional ultrasound (US) due to its limitations in sensitivity for smaller LNs. The use of contrast-enhanced ultrasound (CEUS), especially with perfluorobutane in the postvascular phase of CEUS, may improve the diagnosis of metastatic LNs in cancer patients. We sought to investigate the diagnostic accuracy of the postvascular phase of CEUS with perfluorobutane in identifying suspected small cervical LNs in cancer patients.

Iron nanoparticle/carbon nanotube composite as oxidase-like nanozyme for visual analysis of total antioxidant capacity.

Total antioxidant capacity (TAC) is an important indicator for assessing the merit of natural plants and foods. Herein, a visual TAC assay is developed based on the oxidase-like activity of nitrogen-doped carbon nanotubes loaded with Fe nanoparticles (FeNPs@NCNT), which is prepared via high-temperature pyrolysis of metal-organic framework precursors and can catalyze the oxidation of colorless -phenylenediamine (OPD) to colored 2,3-diaminophenazine (DAP). The addition of antioxidants (e.

Trans-dimensional nanocoral gold foam interfaces affords ultrasensitive detection of influenza virus.

Development of sensitive and cost-effective strategies for detecting influenza viruses is crucial to combat the spread of infectious diseases. In this study, a novel trans-dimensional nanocoral gold foam (NCGF) was fabricated on screen-printed carbon electrodes using hydrogen template electrodeposition method. This unique structure, with interconnected large and small pores, significantly increased the specific surface area and stability of the sensor.

Inhibition of autophagy attenuates cognitive decline and mitochondrial dysfunction in an Alzheimer's disease mouse model with chronic cerebral hypoperfusion.

This study aimed to investigate the impact of chronic cerebral hypoperfusion (CCH) on cognitive function, amyloid-β (Aβ) deposition, cellular autophagy, and mitochondrial dynamics in an Alzheimer's disease (AD) mouse model, and to evaluate the intervention effects of autophagy modulation on these outcomes. Utilizing the APP/PS1 mouse model combined with CCH, we assessed cognitive function, Aβ deposition, and the expression levels of relevant proteins through behavioral tests and immunohistochemical analysis. Our findings revealed pronounced cognitive deficits and increased Aβ deposition in the AD + CCH group mice, along with upregulation of mitochondrial fission proteins (Drp1, Fis1) and downregulation of mitochondrial fusion proteins (Opa1, Mfn1), indicating a shift towards mitochondrial fission and promoting cell apoptosis.

Performance of contrast-enhanced ultrasound liver imaging reporting and data system for differentiation of patients at risk of hepatocellular carcinoma and liver metastasis.

Background: Hepatocellular carcinoma (HCC) and metastatic liver tumors (MLT) are the most common malignant liver lesions, each requiring distinct therapeutic approaches. Accurate differentiation between these malignancies is critical for appropriate treatment planning and prognostication. However, there is limited data on the performance of contrast-enhanced ultrasound liver imaging reporting and data system (CEUS-LI-RADS) in this differentiation.

Non-radiomics imaging (US-CEUS) features and clinical text features: correlation with microvascular invasion and tumor grading in hepatocellular carcinoma.

Objectives: To predict microvascular invasion (MVI) status and tumor grading of hepatocellular carcinoma (HCC) by evaluating preoperative non-radiomics ultrasound and contrast-enhanced ultrasound (US-CEUS) features and determine the influences of MVI/tumor grading on the category of CEUS LI-RADS for HCC.

Methods: A total of 506 HCC patients who underwent preoperative US-CEUS examinations from 8 hospitals between July 2020 and June 2023 were enrolled. According to the MVI status, all the patients were classified, and HCC differentiation was assessed by using Edmondson-Steiner (ES) grading: MVI-negative (M0) and low-grade ES (GI/II) (MN-L, n = 297) and MVI-positive (M1/M2) and/or high-grade ES (GIII/IV) (MP-H, n = 209).

Surplus or deficit? Quantification of carbon sources and sinks and analysis of driving mechanisms of typical oasis urban agglomeration ecosystems.

The relationship between carbon sources and sinks, along with their balance, is a crucial indicator for assessing ecosystem health. Ecosystem protection mitigates climate change and promotes the carbon cycle balance. Consequently, to effectively assess the status of carbon sources and sinks in an oasis ecosystem, this study utilized remote sensing and statistical data to estimate the natural carbon sources and sinks, energy carbon emissions(ECE), and carbon surpluses or deficits in the urban agglomeration of the northern slopes of the Tianshan Mountains(UANSTM) for a period 2000-2022 from a perspective of the natural-social-economic system.

Synergistic co-evolution of rhizosphere bacteria in response to acidification amelioration strategies: impacts on the alleviation of tobacco wilt and underlying mechanisms.

Soil acidification represents a severe threat to tobacco cultivation regions in South China, exacerbating bacterial wilt caused by . The comprehension of the underlying mechanisms that facilitate the restoration of rhizosphere microbial communities in "healthy soils" is imperative for ecologically managing tobacco bacterial wilt. This study focuses on acidified tobacco soils that have been subjected to continuous cultivation for 20 years.

Advancements and prospects of landsenses ecology research based on bibliometric analysis.

The integration of landsenses ecology encompasses both the ecological and perceptual effects on the ecological environment. Although the theoretical framework has gradually matured, challenges persist, including a lack of research strength, incomplete evaluation systems, and ambiguous disciplinary boundaries. Therefore, a systematic review of landsense research is necessary to analyze its characteristics and explore future research trends to ensure that landscape ecology will flourish.

Developing a deep learning model for predicting ovarian cancer in Ovarian-Adnexal Reporting and Data System Ultrasound (O-RADS US) Category 4 lesions: A multicenter study.

Purpose: To develop a deep learning (DL) model for differentiating between benign and malignant ovarian tumors of Ovarian-Adnexal Reporting and Data System Ultrasound (O-RADS US) Category 4 lesions, and validate its diagnostic performance.

Methods: A retrospective analysis of 1619 US images obtained from three centers from December 2014 to March 2023. DeepLabV3 and YOLOv8 were jointly used to segment, classify, and detect ovarian tumors.

Integrated Microfluidic-Transistor Sensing System for Multiplexed Detection of Traumatic Brain Injury Biomarkers.

Traumatic brain injury (TBI) is widely recognized as a global public health crisis, affecting millions of people each year, leading to permanent neurologic, emotional, and occupational disability, and highlighting the urgent need for rapid, sensitive, and early assessment. Here, we design a novel and simple lithography-free method for preparing dual-channel graphene-based field-effect transistors (G-FETs) and integrating them with microfluidic channels for simultaneously multiplexed detection of key blood TBI biomarkers: neurofilament light chain (NFL) and glial fibrillary acidic protein (GFAP). The G-FET utilizes an ingenious dual-channel electrode array design, where the source is shared between channels and the drains are independent of each other, which is the key to achieving simultaneous output of dual detection signals.

Cascade CRISPR/Cas12a and DSN for the electrochemical biosensing of miR-1246 in BC-derived exosomes.

MiR-1246 in breast cancer-derived exosomes was a promising biomarker for early diagnosis of breast cancer(BC). However, the low abundance, high homology and complex background interference make the accurate quantitative detection of miR-1246 facing great challenges. In this study, we developed an electrochemical biosensor based on the subtly combined of CRISPR/Cas12a, double-stranded specific nuclease(DSN) and magnetic nanoparticles(MNPs) for the detection of miR-1246 in BC-derived exosomes.

A Prospective Multicenter Study on the Additive Value of Contrast-Enhanced Ultrasound for Biopsy Decision of Ultrasound BI-RADS 4 Breast Lesions.

Objective: The main aim of this study was to determine whether the use of contrast-enhanced ultrasound (CEUS) could improve the categorization of suspicious breast lesions based on the Breast Imaging Reporting and Data System (BI-RADS), thereby reducing the number of benign breast lesions referred for biopsy.

Methods: This prospective study, conducted between January 2017 and December 2018, enrolled consenting patients from eight teaching hospitals in China, who had been diagnosed with solid breast lesions classified as BI-RADS 4 using conventional ultrasound. CEUS was performed within 1 wk of diagnosis for reclassification of breast lesions.

Neiguan (PC6) acupoint stimulation for preventing chemotherapy-induced nausea and vomiting: a cost-effective supplement in guideline-inconsistent chemotherapy-induced nausea and vomiting prophylaxis subgroup.

Objective: To assess the efficacy and safety of Neiguan (PC6) acupoint acustimulation in preventing chemotherapy-induced nausea and vomiting (CINV), especially for patients with guideline-inconsistent CINV prophylaxis (GICP) due to personal reasons METHODS: From January 2021 to December 2021, 373 patients suffered from solid malignancy were recruited according to the inclusion criteria. Complete response (no emesis and no rescue medication use) rate during the overall phase (0-120 h of each chemo-cycle) was the primary assessment of CINV control. The Functional Living Index-Emesis (FLIE) questionnaire was investigated among these patients as a secondary 'quality of life' objective to assess the impact of CINV on patients' daily life by recording score of nausea and vomiting.

Exploring the impact of PDGFD in osteosarcoma metastasis through single-cell sequencing analysis.

Purpose: The overall survival rate for metastatic osteosarcoma hovers around 20%. Responses to second-line chemotherapy, targeted therapies, and immunotherapies have demonstrated limited efficacy in metastatic osteosarcoma. Our objective is to validate differentially expressed genes and signaling pathways between non-metastatic and metastatic osteosarcoma, employing single-cell RNA sequencing (scRNA-seq) and additional functional investigations.

Nomogram Based on US and Clinicopathologic Characteristics: Axillary Nodal Evaluation Following Neoadjuvant Chemotherapy in Patients With Node-Positive Breast Cancer.

Background: To develop a convenient modality to predict axillary response to neoadjuvant chemotherapy (NAC) in breast cancer patients.

Materials And Methods: In this multi-center study, a total of 1019 breast cancer patients with biopsy-proven positive lymph node (LN) receiving NAC were randomly assigned to the training and validation groups at a ratio of 7:3. Clinicopathologic and ultrasound (US) characteristics of both primary tumors and LNs were used to develop corresponding prediction models, and a nomogram integrating clinicopathologic and US predictors was generated to predict the axillary response to NAC.