[Distribution and Sources of Heavy Metals in the Sediments of Tributaries of the Yangtze River in the Nanjing Section].

The heavy metal pollution in the sediments of tributaries directly affects the water quality of the Yangtze River. To investigate the distribution characteristics and pollution sources of heavy metals in the sediments of the incoming rivers in typical cities of the lower Yangtze River, the Nanjing section of the Yangtze River was selected as the study area. Sediment samples were collected from 16 monitoring points, and the monitoring data for As, Hg, Cr, Pb, Cd, Cu, and Zn were statistically analyzed.

Construction of a transfer learning-based depression detection model for female breast cancer patients: text sentiment analysis.

Background: Social networks have become a vital space for breast cancer (BC) patients to share deeply personal emotions they might avoid expressing in real life. However, the unstructured and vast nature of these textual expressions poses challenges for manual analysis. To address this, our research team employed transfer learning methods to efficiently process and analyze large-scale text data for depression detection.

Charting the future of AL amyloidosis: Diagnostic advancements, prognostic insights, and therapeutic challenges.

Light-chain (AL) amyloidosis is a clonal plasma cell dyscrasias, which leads to abnormal dermatologic, musculoskeletal, connective tissue manifestations, and the progressive multi-organ dysfunction. Currently, the diagnostic workflow for AL amyloidosis remains complex and resource-intensive, highlighting the need for novel diagnostic approaches to expedite the process, optimize resource utilization, and reduce diagnostic delays. Furthermore, prognostic evaluation in AL amyloidosis also requires continuous refinement to align with evolving diagnostic and therapeutic advancements.

Promoting effects of campus football activities on the enhancement of adolescents' psychological qualities and the underlying mechanisms.

Background: Psychological qualities issues among adolescents are increasingly prominent, and effective interventions are urgently needed. Campus Football Activities has shown potential in improving Psychological qualities, but the underlying mechanisms remain unclear.

Objectives: This study aimed to explore the impact of campus football activities on adolescents' psychological qualities, along with the underlying mechanisms and pathways involved, and further examines the effects of an 8-week campus football program on adolescents' psychological qualities.

Deep learning-based temporal muscle quantification on MRI predicts adverse outcomes in acute ischemic stroke.

Purpose: To develop a deep learning (DL) pipeline for accurate slice selection, temporal muscle (TM) segmentation, TM thickness (TMT) and area (TMA) quantification, and assessment of the prognostic role of TMT and TMA in acute ischemic stroke (AIS) patients.

Methods: A total of 1020 AIS patients were enrolled. Participants were divided into three datasets: Dataset 1 (n = 295) for slice selection using ResNet50 model, Dataset 2 (n = 258) for TM segmentation employing TransUNet-based algorithm, and Dataset 3 (n = 467) for evaluating DL-based quantification of TMT and TMA as prognostic factors in AIS.

Predictive model of ulcerative colitis syndrome with ensemble learning and interpretability methods.

In recent years, the prevalence of chronic diseases such as Ulcerative Colitis (UC) has increased, bringing a heavy burden to healthcare systems. Traditional Chinese Medicine (TCM) stands out for its cost-effective and efficient treatment modalities, providing unique advantages in healthcare. But syndrome differentiation of UC presents a longstanding challenge in TCM due to its chronic nature and varied manifestations.

[Influencing Mechanism of Precipitation Pollution Intensity in Qinhuai River Basin Based on Random Forest].

Analyzing the distribution characteristics of precipitation pollution intensity in the basin and identifying the main factors affecting the precipitation pollution intensity are the important basis for realizing the accurate management of diffused pollution. Based on the surface water quality data from four typical sections of the main stream of Qinhuai River Basin and rainfall data collected from 2021 to 2022, the distribution characteristics of precipitation pollution intensity in the basin were analyzed, and representative natural and social factors were selected to construct models of the precipitation pollution intensity of ammonia nitrogen （NH-N）, permanganate index, and total phosphorus （TP） based on random forest algorithm. Additionally, the main driving factors of precipitation pollution intensity were identified, and the influencing mechanism was analyzed.

Zinc Mitigates the Combined Neurotoxicity of Binary Metal Mixtures via Mitophagy and Mitochondrial Fusion.

Environmental metal mixtures can cause combined neurotoxicity, but the underlying mechanism remains unclear. Mitochondria are crucial for energy metabolism in the nervous system, and their dysfunction leads to neurodegeneration. Zinc (Zn) is a coenzyme of many mitochondrial enzymes that controls mitochondrial function.

Tim-1-mediated extracellular matrix promotes the development of hepatocellular carcinoma.

Tim-1 (T-cell immunoglobulin and mucin domain 1), also known as Kim-1 (kidney injury molecule 1) or hepatitis A virus cellular receptor 1 (HAVCR1), is a transmembrane protein expressed on various immune and epithelial cells. It plays a role in modulating inflammatory and immune responses. In this study, we find that Tim-1 is overexpressed in hepatocellular carcinoma (HCC) samples and that its expression is significantly correlated with postoperative survival.

Enhancing prognostic guidance in renal light-chain amyloidosis: a new staging system incorporating pathological characters.

Background: Advancements in treatment regimens have led to improved outcomes in renal Immunoglobulin light-chain amyloidosis. Nevertheless, a subset of patients may still experience renal adverse events despite achieving hematologic very good partial response or better. This discrepancy may be attributed to the deposition pattern of amyloid in renal tissue.

Assessment of circulating proteins in thyroid cancer: Proteome-wide Mendelian randomization and colocalization analysis.

The causality between circulating proteins and thyroid cancer (TC) remains unclear. We employed five large-scale circulating proteomic genome-wide association studies (GWASs) with up to 100,000 participants and a TC meta-GWAS (n = 3,418, n = 292,703) to conduct proteome-wide Mendelian randomization (MR) and Bayesian colocalization analysis. Protein and gene expressions were validated in thyroid tissue.

Advancing precision medicine in immunoglobulin light-chain amyloidosis: a novel prognostic model incorporating multi-organ indicators.

To develop a more accurate prognostic model that incorporates indicators of multi-organ involvement for immunoglobulin light-chain (AL) Amyloidosis patients. Biopsy-proven AL amyloidosis patients between January 1, 2012, and February 28, 2023, were enrolled and randomly divided into a training set and a test set at a ratio of 7:3. Prognostic indicators that comprehensively cover cardiac, renal, and hepatic involvement were identified in the training set by random survival forest (RSF).

[Cordycepin, a metabolite of , inhibits xenograft tumor growth of tongue squamous cell carcinoma in nude mice].

Objective: To evaluate the inhibitory effect of cordycepin on oral cancer xenograft in nude mice and explore the underlying mechanisms.

Methods: Sixteen BALB/c mice bearing subcutaneous human tongue squamous cell carcinoma (TSCC) TCA-8113 cell xenografts were randomized into model group and cordycepin treatment group for daily treatment with saline and cordycepin for 4 weeks. After the treatment, the tumor xenografts were dissected and weighed to assess the tumor inhibition rate.

Comparison of the basic processes of aerobic, anaerobic, and aerobic-anaerobic coupling composting of Chinese medicinal herbal residues.

Chinese medicinal herbal residues (CMHRs) are waste generated after extracting Chinese medicinal materials, and they can be used as a renewable bioresource. This study aimed to evaluate the potential of aerobic composting (AC), anaerobic digestion (AD), and aerobic-anaerobic coupling composting (AACC) for the treatment of CMHRs. CMHRs were mixed with sheep manure and biochar, and composted separately under AC, AD, and AACC conditions for 42 days.

Absorption and Transport Mechanism of Red Meat-Derived -glycolylneuraminic Acid and Its Damage to Intestinal Barrier Function through the NF-κB Signaling Pathway.

-glycolylneuraminic acid (Neu5Gc) is a specific factor in red meat that induces intestinal disease. Our aim was to investigate the effect of Neu5Gc on the intestinal barrier as well as its mechanism of endocytosis and exocytosis. Ten specific inhibitors were used to explore the mechanism of Neu5Gc endocytosis and exocytosis by Caco-2 cells.

Listening to voices from multiple sources: A qualitative text analysis of the emotional experiences of women living with breast cancer in China.

Background: Receiving a breast cancer diagnosis and treatment is both a physical and emotional journey. Previous studies using single-source data have revealed common and culture-specific emotional experiences of patients living with breast cancer. However, few studies have combined such data from multiple sources.

Risk Factors for Melioidosis Mortality and Epidemics: A Multicentre, 10-Year Retrospective Cohort Study in Northern Hainan.

Introduction: Burkholderia pseudomallei is a gram-negative environmental bacterium and aetiological agent of melioidosis, a tropical infectious disease with diverse clinical presentations. We aimed to describe the epidemiological and clinical characteristics of melioidosis in northern Hainan and to determine the meteorological factors affecting its morbidity.

Methods: We conducted a retrospective, multicentre, observational cohort study of 90 patients with melioidosis admitted to four general hospitals in northern Hainan from 2010 to 2020.

An approach of gene regulatory network construction using mixed entropy optimizing context-related likelihood mutual information.

Motivation: The question of how to construct gene regulatory networks has long been a focus of biological research. Mutual information can be used to measure nonlinear relationships, and it has been widely used in the construction of gene regulatory networks. However, this method cannot measure indirect regulatory relationships under the influence of multiple genes, which reduces the accuracy of inferring gene regulatory networks.

Case report: Fetal cervical immature teratoma and copy number variations.

Fetal cervical teratoma is a rare congenital neck tumor. Here, we report a case of a fetus with an anterior solid neck tumor that was confirmed to have an immature teratoma by histology. A duplication was found at chromosome 14q24.

Cluster Analysis Algorithm in the Analysis of College Students' Mental Health Education.

With the rapid development of curricula, a large number of studies are emerging to assist in the development of curricula. But in an information society, in the face of rapid learning and increased life expectancy, students face the pressure not to forget; the mental health status as a result of our curricula is closely related to our learning. The research and application of the integration algorithm plays an important role in the analysis of the mental health education system.

7-deacetyl-gedunin suppresses proliferation of Human rheumatoid arthritis synovial fibroblast through activation of Nrf2/ARE signaling.

Rheumatoid arthritis (RA) is an chronic autoimmune disease and characterized by high incidence. However, there is no effective therapies for RA. Therefore, it is urgent to discover new drugs for RA treatment.

Research on Diagnosis Prediction of Traditional Chinese Medicine Diseases Based on Improved Bayesian Combination Model.

Traditional Chinese Medicine (TCM) clinical intelligent decision-making assistance has been a research hotspot in recent years. However, the recommendations of TCM disease diagnosis based on the current symptoms are difficult to achieve a good accuracy rate because of the ambiguity of the names of TCM diseases. The medical record data downloaded from ancient and modern medical records cloud platform developed by the Institute of Medical Information on TCM of the Chinese Academy of Chinese Medical Sciences (CACMC) and the practice guidelines data in the TCM clinical decision supporting system were utilized as the corpus.