Continuous growth with fragile stability in China's forest biomass carbon storage since 2002.

Forest biomass carbon (BC) storage is an important means of mitigating climate change. However, the spatiotemporal patterns and stability of BC growth remain unclear in China. Based on the latest BC maps (2002-2021), we calculated the spatiotemporal dynamics of BC and used resilience indicators to reveal the stability of BC.

Occurrence, characterization, and ecological risk analysis of petroleum hydrocarbons in water and sediments following large-scale field simulated oil spills at the experimental lakes area, Northwestern Ontario, Canada.

This study assessed the impact of on-site field-simulated oil spills at the International Institute for Sustainable Development-Experimental Lakes Area (IISD-ELA) on a freshwater boreal lake. Low total petroleum hydrocarbons (TPH) values were obtained in water and sediments from the locations without direct oil loading across the 6-year monitoring program. Biogenic n-alkanes and pyrogenic polycyclic aromatic hydrocarbons (PAHs) were predominant pre- and post-spill.

A bio-functional cryogel with antioxidant activity for potential application in bone tissue repairing.

Antioxidant and free radical resistance has been a key concern of tissue engineering. In this study, Hydroxyapatite (HAp) with osteogenic activity and Oligomeric Proantho Cyanidins (OPC) with antioxidant activity were chemically grafted to prepare gelatin-based biofunctional aerogel (GHPOS). SEM results confirmed that these aerogels exhibited obvious macroporous structure and could provide a suitable microenvironment for bone cell growth.

Integrating amino acids into Bcr-Abl inhibitors: design, synthesis, biological evaluation, and studies.

Bcr-Abl is successfully applied to drug discovery as a CML therapeutic target, but point mutation resistance has become a major challenge in the clinical treatment of CML. Our previous studies have shown that the introduction of amino acids as flexible linkers and heterocyclic structures as HBMs can achieve potent inhibition of Bcr-Abl. In continuation of these studies, we further enriched the linker types by developing a library of compounds with -leucine or serine as a linker.

Precision Nanovaccines for Potent Vaccination.

Compared with traditional vaccines, nanoparticulate vaccines are especially suitable for delivering antigens of proteins, peptides, and nucleic acids and facilitating lymph node targeting. Moreover, apart from improving pharmacokinetics and safety, nanoparticulate vaccines assist antigens and molecular adjuvants in crossing biological barriers, targeting immune organs and antigen-presenting cells (APC), controlled release, and cross-presentation. However, the process that stimulates and orchestrates the immune response is complicated, involving spatiotemporal interactions of multiple cell types, including APCs, B cells, T cells, and macrophages.

Effects of Maternal SARS-CoV-2 Infection During Pregnancy on Fetal Development.

Background: The severe acute respiratory syndrome coronavirus (SARS-CoV-2) outbreak in 2019 has necessitated investigating its potential adverse effects on pregnancy outcomes and fetal development.

Objective: This study aimed to review the evidence on the impact of SARS-CoV-2 infection during pregnancy on fetal outcomes.

Method Of Study: Literatures since the outbreak of COVID-19 from PubMed and Web of Science were summarized in this narrative review, to show the effects of maternal SARS-CoV-2 infection during pregnancy on fetal development.

Hepcidin depending on astrocytic NEO1 ameliorates blood-brain barrier dysfunction after subarachnoid hemorrhage.

Subarachnoid hemorrhage (SAH) significantly compromises the blood-brain barrier (BBB) and impairs patient recovery. This study elucidates the critical role of astrocytic Neogenin-1 (NEO1) in BBB integrity post-SAH and examines the regulatory effects of hepcidin on endothelial cell (EC) function amid NEO1-mediated disruptions in iron homeostasis. Proteomic analyses of cerebrospinal fluid (CSF) from SAH patients revealed a substantial decrease in NEO1 expression, identifying it as a key factor in BBB integrity.

Massive Chylous Leakage After Endoscopic Thyroidectomy with Central Lymph Node Dissection: A Case Report.

BACKGROUND Massive chylous leakage represents a rare yet potentially life-threatening complication following neck dissection, and its occurrence is even less common in the context of endoscopic thyroid surgery. Chylous leakage poses significant clinical management challenges, encompassing prolonged hospitalization, nutritional deficiencies, electrolyte imbalances, and the potential for infection. It is imperative for surgeons to remain vigilant and proactive in recognizing and managing chylous leakage to mitigate its potential impact on patient outcomes.

Effects of high-dose glucose-insulin-potassium on acute coronary syndrome patients receiving reperfusion therapy: a meta-analysis.

Background: This meta-analysis aimed to assess the efficacy of high-dose glucose-insulin-potassium (GIK) therapy on clinical outcomes in acute coronary syndrome (ACS) patients receiving reperfusion therapy.

Methods: We searched the PubMed, Web of Science, MEDLINE, Embase, and Cochrane Library databases from inception to April 26, 2022, for randomized controlled trials (RCTs) that compared high-dose GIK and placebos in ACS patients receiving reperfusion therapy. The primary endpoint was major adverse cardiovascular events (MACEs).

Adaptive Temporal-Spatial Pyramid Variational Autoencoder Model for Multirate Dynamic Chemical Process Soft Sensing Application.

Data-driven soft sensors play an important role in practical processes and have been widely applied. They provide real-time prediction of quality variables and then guide production and improve product quality. In practical chemical production processes, nonlinear dynamic multirate data is widespread and challenging to model.

[Effect of Intensive Insulin Therapy on Prognosis in Patients With Acute Myocardial Infarction].

Objective To evaluate the clinical efficacy and safety of intensive insulin therapy in the patients with acute myocardial infarction and provide guidance for improving the prognosis. Methods The articles involving the randomized controlled trials(RCT)focusing on the effects of intensive conventional insulin therapy on the clinical outcomes of the patients with acute myocardial infarction were retrieved from Cochrane,Embase,PubMed,CNKI,Wanfang Data,VIP,and CBM with the time interval from inception to October 2022.The data of each RCT were extracted and used for meta-analysis in RevMan5.

Acupressure: a possible therapeutic strategy for anxiety related to COVID-19: a meta-analysis of randomized controlled trials.

Background: From the end of 2019 to December 2023, the world grappled with the COVID-19 pandemic. The scope and ultimate repercussions of the pandemic on global health and well-being remained uncertain, ushering in a wave of fear, anxiety, and worry. This resulted in many individuals succumbing to fear and despair.

Deep learning-based computer-aided diagnosis system for the automatic detection and classification of lateral cervical lymph nodes on original ultrasound images of papillary thyroid carcinoma: a prospective diagnostic study.

Purpose: This study aims to develop a deep learning-based computer-aided diagnosis (CAD) system for the automatic detection and classification of lateral cervical lymph nodes (LNs) on original ultrasound images of papillary thyroid carcinoma (PTC) patients.

Methods: A retrospective data set of 1801 cervical LN ultrasound images from 1675 patients with PTC and a prospective test set including 185 images from 160 patients were collected. Four different deep leaning models were trained and validated in the retrospective data set.

PGR-KITLG signaling drives a tumor-mast cell regulatory feedback to modulate apoptosis of breast cancer cells.

The immune microenvironment constructed by tumor-infiltrating immune cells and the molecular phenotype defined by hormone receptors (HRs) have been implicated as decisive factors in the regulation of breast cancer (BC) progression. Here, we found that the infiltration of mast cells (MCs) informed impaired prognoses in HR(+) BC but predicted improved prognoses in HR(-) BC. However, molecular features of MCs in different BC remain unclear.

Recent Advances in Signaling Pathways and Kinase Inhibitors for Leukemia Chemotherapy.

Leukemia is a malignant clonal disease of hematopoietic stem cells, which accounts for about 3% of the total incidence of tumors and is particularly prevalent among children and adolescents. It mainly includes four types of leukemia, namely ALL, AML, CLL, and CML, which are often aggressive and challenging diseases to treat. Several signaling pathways are dysregulated in almost all types of leukemia, such as JAK, PI3K, and MAPK, and others are dysregulated in specific types of leukemia, like Wnt/β-catenin, Hedgehog, FLT3, Bcr-Abl, and so on.

Functional brain network controllability dysfunction in Alzheimer's disease and its relationship with cognition and gene expression profiling.

. In recent studies, network control theory has been applied to clarify transitions between brain states, emphasizing the significance of assessing the controllability of brain networks in facilitating transitions from one state to another. Despite these advancements, the potential alterations in functional network controllability associated with Alzheimer's disease (AD), along with the underlying genetic mechanisms responsible for these alterations, remain unclear.

The Effect of Micronutrients on Obese Phenotype of Adult Mice Is Dependent on the Experimental Environment.

The environment of the test laboratory affects the reproducibility of treatment effects on physiological phenotypes of rodents and may be attributed to the plasticity of the epigenome due to nutrient-gene-environment interactions. Here, we explored the reproducibility of adding a multi-vitamin-mineral (MVM) mix to a nutrient-balanced high-fat (HF) diet on obesity, insulin resistance (IR), and gene expression in the tissues of adult male mice. Experiments of the same design were conducted in three independent animal facilities.

Variations in species diversity patterns and community assembly rules among vegetation types in the karst landscape.

The various vegetation types in the karst landscape have been considered the results of heterogeneous habitats. However, the lack of a comprehensive understanding of regional biodiversity patterns and the underlying ecological processes limits further research on ecological management. This study established forest dynamic plots (FDPs) of the dominant vegetation types (shrubland, SL; mixed tree and shrub forest, MTSF; coniferous forest, CF; coniferous broadleaf mixed forest, CBMF; and broadleaf forest, BF) in the karst landscape and quantified the species diversity patterns and potential ecological processes.

Application of deep-learning to the automatic segmentation and classification of lateral lymph nodes on ultrasound images of papillary thyroid carcinoma.

Purpose: It is crucial to preoperatively diagnose lateral cervical lymph node (LN) metastases (LNMs) in papillary thyroid carcinoma (PTC) patients. This study aims to develop deep-learning models for the automatic segmentation and classification of LNM on original ultrasound images.

Methods: This study included 1000 lateral cervical LN ultrasound images (consisting of 512 benign and 558 metastatic LNs) collected from 728 patients at the Chongqing General Hospital between March 2022 and July 2023.

Mitochondrial ferritin alleviates ferroptosis in a kainic acid-induced mouse epilepsy model by regulating iron homeostasis: Involvement of nuclear factor erythroid 2-related factor 2.

Background: Epilepsy is a widespread and chronic disease of the central nervous system caused by a variety of factors. Mitochondrial ferritin (FtMt) refers to ferritin located within the mitochondria that may protect neurons against oxidative stress by binding excess free iron ions in the cytoplasm. However, the potential role of FtMt in epilepsy remains unclear.

IInception-CBAM-IBiGRU based fault diagnosis method for asynchronous motors.

Aiming at the problems of insufficient extraction of asynchronous motor fault features by traditional deep learning algorithms and poor diagnosis of asynchronous motor faults in robust noise environments, this paper proposes an end-to-end fault diagnosis method for asynchronous motors based on IInception-CBAM-IBiGRU. The method first uses a signal-to-grayscale image conversion method to convert one-dimensional vibration signals into two-dimensional images and initially extracts shallow features through two-dimensional convolution; then the Improved Inception (IInception) module is used as a residual block to learning features at different scales with a residual structure, and extracts its important feature information through the Convolutional Block Attention Module (CBAM) to extract important feature information and adjust the weight parameters; then the feature information is input to the Improved Bi-directional Gate Recurrent Unit (IBiGRU) to extract its timing features further; finally, the fault identification is achieved by the SoftMax function. The primary hyperparameters in the model are optimized by the Weighted Mean Of Vectors Algorithm (INFO).

Transmembrane modification of tumor vascular targeting peptide A7R as molecular cargo delivery tool.

In recent years, targeting tumor angiogenesis has emerged as a prominent research focus in the treatment and prevention of tumor expansion. A7R (ATWLPPR) exhibits high affinity and specificity for VEGFR-2, which is overexpressed in various tumors. To enhance the tumor tissue and cell penetration capabilities of A7R, we substituted its non-critical amino acid with Arginine (R) and Glutamic acid (E), cyclized the mutant peptide, and linked it to the membrane permeation sequence using coordination principles.