The role of microorganisms in phosphorus cycling at river-lake confluences: Insights from a study on microbial community dynamics.

River-lake confluences are key zones in the river-lake network, essential for managing contaminant transport and transformation. However, the role of biogeochemical transformations, particularly in phosphorus (P) dynamics, has been underexplored. As a result, this study looks into the dynamics of microbial communities and how important microbes are to the cycling of P. It was revealed that microorganisms contribute differently to phosphorus cycling in different hydraulic regions. Regions with higher-velocity and finer sediment showed increased microbial diversity and enhanced capabilities for organic phosphorus (OP) mineralization and inorganic phosphorus (IP) solubilization due to lower bio-available P (bio-P) concentrations. In areas characterized by flow deflection (FD), flow stagnation (FST), and flow separation (FSE), distinct P fraction distributions were observed: Total phosphorus (TP) and bio-P were found to be more abundant in the FST and FD regions, but residual phosphorus (Res-P) and calcium phosphorus (Ca-P) were more prevalent in the FSE region. Sediment characteristics, including P species like aluminum-phosphorus (Al-P), OP, iron-associate phosphorus (BD-P), and sediment mid-diameter (D50), significantly influence microbial community composition. These results improve our comprehension of the distribution of microbial community distribution and its role in the phosphorus cycle at river-lake confluence, providing useful provide valuable information for managing river-lake confluences and protecting aquatic ecosystems.

Electromagnetic Interference Shielding Films: Structure Design and Prospects.

The popularity of portable and wearable flexible electronic devices, coupled with the rapid advancements in military field, requires electromagnetic interference (EMI) shielding materials with lightweight, thin, and flexible characteristics, which are incomparable for traditional EMI shielding materials. The film materials can fulfill the above requirements, making them among the most promising EMI shielding materials for next-generation electronic devices. Meticulously controlling structure of composite film materials while optimizing the electromagnetic parameters of the constructed components can effectively dissipate and transform electromagnetic wave energy. Herein, the review systematically outlines high-performance EMI shielding composite films through structural design strategies, including homogeneous structure, layered structure, and porous structure. The attenuation mechanism of EMI shielding materials and the evaluation (Schelkunoff theory and calculation theory) of EMI shielding performance are introduced in detail. Moreover, the effect of structure attributes and electromagnetic properties of composite films on the EMI shielding performance is analyzed, while summarizing design criteria and elucidating the relevant EMI shielding mechanism. Finally, the future challenges and potential application prospects of EMI shielding composite films are prospected. This review provides crucial guidance for the construction of advanced EMI shielding films tailored for highly customized and personalized electronic devices in the future.

Long-term stability in perovskite solar cells through atomic layer deposition of tin oxide.

Robust contact schemes that boost stability and simplify the production process are needed for perovskite solar cells (PSCs). We codeposited perovskite and hole-selective contact while protecting the perovskite to enable deposition of SnOx/Ag without the use of a fullerene. The SnOx, prepared through atomic layer deposition, serves as a durable inorganic electron transport layer. Tailoring the oxygen vacancy defects in the SnOx layer led to power conversion efficiencies (PCEs) of >25%. Our devices exhibit superior stability over conventional p-i-n PSCs, successfully meeting several benchmark stability tests. They retained >95% PCE after 2000 hours of continuous operation at their maximum power point under simulated AM1.5 illumination at 65°C. Additionally, they boast a certified T97 lifetime exceeding 1000 hours.

Machine learning discrimination and prediction of different quality grades of sauce-flavor baijiu based on biomarker and key flavor compounds screening.

The quality grade of base Baijiu directly determines the final quality of sauce-flavor Baijiu. However, traditional methods for assessing these grades often rely on subjective experience, lacking objectivity and accuracy. This study used GC-FID, combined with quantitative descriptive analysis (QDA) and odor activity value (OAV), to identify 27 key flavor compounds, including acetic acid, propionic acid, ethyl oleate, and isoamyl alcohol etc., as crucial contributors to quality grade differences. Sixteen bacterial biomarkers, including Komagataeibacter and Acetobacter etc., and 7 fungal biomarkers, including Aspergillus and Monascus etc., were identified as key microorganisms influencing these differences. Additionally, reducing sugar content in Jiupei significantly impacted base Baijiu quality. Finally, 11 machine learning classification models and 9 prediction models were evaluated, leading to the selection of the optimal model for accurate quality grade classification and prediction. This study provides a foundation for improving the evaluation system of sauce-flavor Baijiu and ensuring consistent quality.

The Advances in the Development of Epigenetic Modifications Therapeutic Drugs Delivery Systems.

Epigenetic dysregulation can significantly trigger the onset and progression of various diseases, epigenetic therapy is a new treatment strategy by changing DNA methylation, histone modification, N6-methyladenosine, chromatin modification and other epigenetic modifications to regulate gene expression levels for therapeutic purposes. However, small-molecule epigenetic drugs face challenges in disease treatment, such as lack of selectivity, limited therapeutic efficacy, and insufficient safety. Nanomedicine delivery systems offer significant advantages in addressing these issues by enhancing drug targeting, improving bioavailability, and reducing nonspecific distribution. This help minimize side effects while increasing both therapeutic effectiveness and safety of epigenetic drugs. In this review, we focus on the mechanism and role of epigenetic regulatory factors in diseases, as well as the challenges faced by small molecule inhibitors in treatment strategies, especially the research advancements in epigenetic drug delivery systems, review and discuss the therapeutic potential and challenges of using nanotechnology to develop epigenetic drug delivery systems.

Downregulation of short-stature homeobox protein 2 suppresses gastric cancer cell growth and stemness in vitro and in vivo via inactivating wnt/ß-catenin signaling.

Gastric cancer (GC) a prevalent form of cancer globally. Previous research suggests that SHOX2 may have a role in promoting cancer progression. However, the role of SHOX2 in GC is not well understood. Based on data from TCGA_GC data set, SHXO2 levels were examined in normal and GC tissues. Patients in the TCGA_GC cohort were divided into high- and low-SHOX2 level groups for analysis of overall survival (OS), functional enrichment, and immune infiltration. Furthermore, experiments were conducted to investigate the impact of SHOX2 on GC cell function through gain- and loss-of-function experiments. Utilizing data from public databases, SHOX2 mRNA levels were found to be elevated in GC tissues compared to normal control, this finding was confirmed by RT-qPCR, western blot analysis, and immune-histochemical analyses. Elevated SHOX2 levels could serve as an independent indicator of poor prognosis in GC patients. Furthermore, SHOX2 levels had a negative correlation with CD8 T cells and CD4 memory activated T cells, and a positive correlation with of M0 macrophages in GC patients. Functional analyses revealed that SHOX2 deficiency notably suppressed GC cell proliferation, migration, and invasion. Additionally, SHOX2 deficiency was shown to suppress stemness in GC cells in vitro and in vivo via inactivating wnt/ß-catenin signaling. Collectively, SHOX2 may serve as a prognostic marker for GC patients, and downregulation of SHOX2 could effectively impede GC cell growth and stemness by inactivating the wnt/ß-catenin signaling pathway. These findings underscore the potential of SHOX2 as a promising therapeutic target for GC.

Polo-like kinase 2 promotes microglial activation via regulation of the HSP90α/IKKß pathway.

Polo-like kinase 2 (PLK2) is a serine/threonine protein kinase associated with the regulation of synaptic plasticity and centriole duplication. We identify PLK2 as a crucial early-response gene in lipopolysaccharide (LPS)-stimulated microglial cells. Knockdown or inhibition of PLK2 remarkably attenuates LPS-induced expression of proinflammatory factors in microglial cells by suppressing the inhibitor of nuclear factor kappa B kinase subunit beta (IKKß)-nuclear factor (NF)-κB signaling pathway. We identify heat shock protein 90 alpha (HSP90α), a regulator of IKKß activity, as a novel PLK2 substrate. Knockdown or pharmacological inhibition of HSP90α abolishes PLK2-mediated activation of NF-κB transcriptional activity and microglial inflammatory activation. Furthermore, phosphoproteomic analysis pinpoints Ser252 and Ser263 on HSP90α as novel phosphorylation targets of PLK2. Lastly, conditional knockout of PLK2 in microglial cells dramatically ameliorates neuroinflammation and subsequent dopaminergic neuron loss in an intracranial LPS-induced mouse Parkinson's disease (PD) model. The present study reveals that PLK2 promotes microglial activation through the phosphorylation of HSP90α and subsequent activation of the IKKß-NF-κB signaling pathway.

Structure-guided design and photochemical synthesis of new carbamo(dithioperoxo)thioates with improved potencies to SARS-CoV-2 3CLpro.

The COVID-19 pandemic, caused by the SARS-CoV-2 virus, has triggered a protracted global pandemic from 2019 to 2022, and posed a significant threat to human health. One of the non-structural proteins 3CLpro of SARS-CoV-2 is considered as a validated target for the development of inhibitors against the virus. Disulfiram has been reported as a covalent inhibitor of 3CLpro; however, its structure lacks bonding site with active pockets of 3CLpro and its highly symmetric structure doesn't match well with the irregular cavity of the active center, limiting its therapeutic applications. To enhance their affinity for the 3CLpro target, in this study, two kinds of disulfiram derivatives, designed based on the reevaluation and optimization of disulfiram, have been synthesized through photoredox chemistry, and the novel carbamo(dithioperoxo)thioates 4g-m were found to display 5-17 folds potency against SARS-CoV-2 3CLpro compared to the parent disulfiram, with resulting half-maximal inhibitory concentration (IC50) values ranging from 0.14-0.47 µM. Carbamo(dithioperoxo)thioates 4i containing a 4-hydroxy piperidine and a 4-trifluoromethyl phenyl ring, was identified as the most potent inhibitor to both 3CLpro (IC50 = 0.14 µM) and PLpro (IC50 = 0.04 µM). Furthermore, molecular dynamics simulations, binding free energy analysis and mass analysis were performed and provided insights on the stability, conformational behavior, and interactions of 4g with 3CLpro. The green synthetic methodology, the privileged carbamo(dithioperoxo)thioate scaffold, and the molecular mechanisms presented might serve as a useful system for the further discovery of highly potent inhibitors targeting SARS-CoV-2 3CLpro.

Comparative analysis of the safety and effectiveness of robotic natural orifice specimen extraction versus laparoscopic surgery for colorectal tumors through systematic review and meta-analysis.

The purpose of this study and meta-analysis was to evaluate the perioperative and oncologic results of robotic NOSE versus laparoscopic surgery for colorectal tumors. We plan to perform an extensive electronic search on PubMed, CNKI, Embase, and the Cochrane Library to find research articles published from the beginning of the databases until July 2024 that examine the comparison between robotic natural orifice specimen extraction and laparoscopic surgery in patients with colorectal cancer. Both English and Chinese literature will be included. Literature screening will strictly follow predetermined criteria for inclusion and exclusion, specifically targeting randomized controlled trials and cohort studies. The evaluation of quality will be conducted with the Newcastle-Ottawa Scale (NOS). Review Manager 5.4.1 will be utilized to perform a meta-analysis of data gathered from the studies that are included. The ultimate evaluation included seven past cohort studies with a total of 1117 participants (545 who had robotic NOSE and 572 who had laparoscopic surgery). Patients who had robotic NOSE experienced notable enhancements in LOHS, time to first flatus, time to start the liquid diet, EBL, and postoperative ileus when compared to patients undergoing laparoscopic colorectal surgery. There were no notable discrepancies noted in terms of surgical duration, total complications, lymph node collection, and anastomotic leakage between the two methods. In conclusion, the use of robotic technology for extracting specimens through natural body openings in colorectal surgery is considered to be safe and achievable. It offers notable advantages over laparoscopic surgery, including reduced hospital stay, earlier time to first flatus and liquid intake, decreased EBL, and lower incidence of postoperative ileus.

Risk factors associated with air embolism following computed tomography-guided percutaneous lung biopsy: a retrospective case-control study.

Background: Retrospective analysis to identify the risk factors for air embolism following computed tomography (CT)-guided percutaneous transthoracic needle biopsy (TNB). Methods: A retrospective analysis of patients who underwent CT-TNB at The First Affiliated Hospital of Zhengzhou University and Xuzhou Cancer Hospital from January 2017 to December 2021 was performed. A total of 21 factors relevant to air embolisms were collected. Risk factors associated with air embolisms were determined by the least absolute shrinkage and selection operator (LASSO). The receiver-operator characteristic (ROC) was used to assess the ability of these factors to identify air embolisms. Results: Of these 32,748 patients, 28 experienced air embolisms (19 at The First Affiliated Hospital of Zhengzhou University (incidence, 1.46%) and nine at Xuzhou Cancer Hospital (incidence, 0.69%); total incidence, 2.16%). Only seven patients exhibited symptoms (symptom rate, 25.00%). A total of 21 patients were asymptomatic at the time of swept-source CT. No deaths occurred. We found through univariate and multivariate analysis that eight out of these 21 factors are associated with the occurrence of air embolism. The area under the ROC curve was 0.721, indicating good predictive power (P < 0.05). Conclusion: Cough during the procedure, hemoptysis during the procedure, the distance between the mass and the pulmonary vein, the presence of a cavity in the lesion, lesion location, number of samples, abnormalities in the patient's coagulation mechanism, and the puncture position may be the risk factors for air embolism in CT-TNB.

PlasmidScope: a comprehensive plasmid database with rich annotations and online analytical tools.

Plasmids are extrachromosomal genetic molecules that replicate independent of chromosomes in bacteria, archaea, and eukaryotic organisms. They contain diverse functional elements and are capable of horizontal gene transfer among hosts. While existing plasmid databases have archived plasmid sequences isolated from individual microorganisms or natural environments, there is a need for a comprehensive, standardized, and annotated plasmid database to address the vast accumulation of plasmid sequences. Here, we propose PlasmidScope (https://plasmid.deepomics.org/), a plasmid database offering comprehensive annotations, automated online analysis, and interactive visualization. PlasmidScope harbors a substantial collection of 852 600 plasmids curated from 10 repositories. Along with consolidated background information, PlasmidScope utilizes 12 state-of-the-art tools and provides comprehensive annotations for the curated plasmids, covering genome completeness, topological structure, mobility, host source, tRNA, tmRNA, signal peptides, transmembrane proteins and CRISPR/Cas systems. PlasmidScope offers diverse functional annotations for its 25 231 059 predicted genes from 9 databases as well as corresponding protein structures predicted by ESMFold. In addition, PlasmidScope integrates online analytical modules and interactive visualization, empowering researchers to delve into the complexities of plasmids.

Comparative Transcriptome Analysis of Bovine, Porcine, and Sheep Muscle Using Interpretable Machine Learning Models.

The growth and development of muscle tissue play a pivotal role in the economic value and quality of meat in agricultural animals, garnering close attention from breeders and researchers. The quality and palatability of muscle tissue directly determine the market competitiveness of meat products and the satisfaction of consumers. Therefore, a profound understanding and management of muscle growth is essential for enhancing the overall economic efficiency and product quality of the meat industry. Despite this, systematic research on muscle development-related genes across different species still needs to be improved. This study addresses this gap through extensive cross-species muscle transcriptome analysis, combined with interpretable machine learning models. Utilizing a comprehensive dataset of 275 publicly available transcriptomes derived from porcine, bovine, and ovine muscle tissues, encompassing samples from ten distinct muscle types such as the semimembranosus and longissimus dorsi, this study analyzes 113 porcine (n = 113), 94 bovine (n = 94), and 68 ovine (n = 68) specimens. We employed nine machine learning models, such as Support Vector Classifier (SVC) and Support Vector Machine (SVM). Applying the SHapley Additive exPlanations (SHAP) method, we analyzed the muscle transcriptome data of cattle, pigs, and sheep. The optimal model, adaptive boosting (AdaBoost), identified key genes potentially influencing muscle growth and development across the three species, termed SHAP genes. Among these, 41 genes (including NANOG, ADAMTS8, LHX3, and TLR9) were consistently expressed in all three species, designated as homologous genes. Specific candidate genes for cattle included SLC47A1, IGSF1, IRF4, EIF3F, CGAS, ZSWIM9, RROB1, and ABHD18; for pigs, DRP2 and COL12A1; and for sheep, only COL10A1. Through the analysis of SHAP genes utilizing Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways, relevant pathways such as ether lipid metabolism, cortisol synthesis and secretion, and calcium signaling pathways have been identified, revealing their pivotal roles in muscle growth and development.

Analysis of Flow Field Characteristics in a Mechanical Defoaming Device.

To improve the froth breakdown performance of flotation foam, a mechanical defoaming device based on vacuum and rotation was developed. The device is mainly composed of a rotating disk and a baffle and generates negative pressure when rotating at high speed. Through the synergistic effects of negative pressure, collision, extrusion, and shearing, the flotation foam effectively separates the liquid and gas phases. The flow field characteristics of the defoaming device are meticulously analyzed through numerical simulation, leading to a comprehensive evaluation of its defoaming performance. The effects of different rotational speeds on fluid velocity, pressure, turbulence, and traces are studied. It can be obtained that when the rotational speed is 900-1800 rpm, the device generates a pressure zone of -2.5 to -12.5 kPa, which can meet the requirements of the defoaming design.

Prognostic implications of tumor-infiltrating lymphocytes in non-small cell lung cancer: a systematic review and meta-analysis.

Background: Tumor-infiltrating lymphocytes (TILs) have demonstrated potential as prognostic biomarkers across various cancer types. However, their prognostic implications in non-small cell lung cancer (NSCLC) remain ambiguous. Methods: An exhaustive electronic search was executed across the Pubmed, EMBASE, Web of Science, and Cochrane Library databases to locate relevant studies published up until December 19, 2023. Studies were eligible if they assessed the association between TILs and overall survival (OS) and disease-free survival (DFS) in NSCLC patients. The OS and DFS were subsequently extracted for analysis. The prognostic significance of TILs was evaluated by calculating the Pooled Hazard Ratios (HRs) and their corresponding 95% Confidence Intervals (CIs). Results: The meta-analysis incorporated 60 studies, which collectively included 15829 NSCLC patients. The collective analysis indicated that NSCLC patients exhibiting TILs infiltration demonstrated a significantly improved OS(HR: 0.67; 95%CI: 0.55-0.81). Subgroup analyses, based on TIL subtypes (CD8+, CD3+ and CD4+), consistently revealed a favorable prognostic impact on OS. However, it was observed that FOXP3+ was correlated with a poor OS (HR: 1.35; 95% CI: 0.87-2.11). Conclusion: This comprehensive systematic review and meta-analysis substantiate the prognostic significance of TILs in patients diagnosed with NSCLC. Notably, elevated TILs infiltration correlates with a favorable prognosis, particularly among CD8+, CD3+ and CD4+ subtypes. Systematic review registration: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023468089 PROSPERO, identifier CRD42023468089.

Spatially Informed Graph Structure Learning Extracts Insights from Spatial Transcriptomics.

Embeddings derived from cell graphs hold significant potential for exploring spatial transcriptomics (ST) datasets. Nevertheless, existing methodologies rely on a graph structure defined by spatial proximity, which inadequately represents the diversity inherent in cell-cell interactions (CCIs). This study introduces STAGUE, an innovative framework that concurrently learns a cell graph structure and a low-dimensional embedding from ST data. STAGUE employs graph structure learning to parameterize and refine a cell graph adjacency matrix, enabling the generation of learnable graph views for effective contrastive learning. The derived embeddings and cell graph improve spatial clustering accuracy and facilitate the discovery of novel CCIs. Experimental benchmarks across 86 real and simulated ST datasets show that STAGUE outperforms 15 comparison methods in clustering performance. Additionally, STAGUE delineates the heterogeneity in human breast cancer tissues, revealing the activation of epithelial-to-mesenchymal transition and PI3K/AKT signaling in specific sub-regions. Furthermore, STAGUE identifies CCIs with greater alignment to established biological knowledge than those ascertained by existing graph autoencoder-based methods. STAGUE also reveals the regulatory genes that participate in these CCIs, including those enriched in neuropeptide signaling and receptor tyrosine kinase signaling pathways, thereby providing insights into the underlying biological processes.

The effect of transvesical laparoscopic radical prostatectomy on sexual function and urinary continence.

OBJECTIVE: To analyze the effect of transvesical laparoscopic radical prostatectomy (TVLRP) on sexual function and urinary continence. METHOD: The data of 72 patients diagnosed with low-risk and localized prostate cancer, who underwent treatment at our hospital between January 2017 and June 2022, were retrospectively analyzed. All these patients underwent TVLRP under general anesthesia. Their serum prostate-specific antigen (PSA), urinary continence and erectile function were statistically analyzed. RESULTS: The operation went well with no intraoperative difficulties. The average surgical duration of 102 ± 22 min, coupled with the minimal intraoperative blood loss of 100 ± 32 mL, underscored the precision and efficacy of the surgical techniques employed. Following surgery, postoperative pathological assessments confirmed staging, revealing pT2a in 18 cases and pT2b in 54 cases, suggestive of localized tumors. Gleason scores ≤ 6 further indicated well-differentiated tumors, while consistently negative surgical margins affirmed the complete resection of tumors, reducing the likelihood of disease recurrence. Subsequent to the surgical intervention, the the average hospital stay was 13.94.1 days. A comprehensive 12-month follow-up revealed exceptionally high urinary continence rates, with 97.8% and 100% of patients achieving continence at 1 and 3 months postoperatively, respectively. Moreover, progressive improvement in erectile function recovery was observed, with recovery rates at 3, 6, and 12 months postoperatively reaching 82.2%, 88.4%, and 93.5%, respectively. There was no biochemical regression. CONCLUSION: Treatment of low-risk and localized prostate cancer by TVLRP has a satisfactory urinary continence and recovery of erectile function after operation, less and complications and definite tumor-control effect.

Internal Capsulation Via Self-Cross-linking and π-Effects Achieves Highly Stable Perovskite Solar Cells.

Pursuing high stability becomes the core challenge in realizing the widespread application of perovskite solar cells (PerSCs). Here, a practical internal-capsulation strategy is proposed by introducing cross-linkable methacrylate analogs upon the perovskite layer, hindering ion migration and preventing lead leakage to achieve stable PerSCs. Butyl methacrylate (UMA) and benzyl methacrylate (BMA) can chemically interact with the perovskite layer, especially for the BMA dimer with significant π-interactions among the hanging benzene rings. Such configuration facilitated more compact coordination, thereby restoring the Fermi level of perovskite to a defect-free state and reducing carrier recombination losses. Moreover, by integrating the self-cross-linking and intermolecular π-effect, the application of BMA upgraded the internal capsulation from linear protection to a compact mesh-like scale. Consequently, the application of BMA not only boosted the efficiency to 25.31% but also greatly enhanced the stability of the perovskite layer, especially for water resistance and preventing lead linkage. The internal capsulation strategy upgrading from linear to mesh-like marked an innovative direction in protecting the perovskite layer, paving the way for more sustainable PerSCs in further application.

[Effects of simulated repeated transcranial acupuncture on learning and memory and cerebral microvascular flow in vascular dementia rats]. / æ¨¡æ‹Ÿç»é¢ é‡å¤é’ˆåˆºæ‰‹æ³•å¯¹è¡€ç®¡æ€§ç—´å‘†å¤§é¼ å­¦ä¹ è®°å¿†åŠè„‘å¾®è¡€æµçš„å½±å“.

OBJECTIVES: To observe the effect of simulated repeated transcranial acupuncture (rTAS) on learning and memory abilities and cerebral microvascular flow in vascular dementia (VD) model rats, so as to explore the potential mechanism of rTAS in treating VD. METHODS: Thirty-two Wistar rats were randomly divided into normal, model, acupuncture and rTAS groups (n=8 rats in each group). The VD model was established by permanent ligation of bilateral common carotid arteries. For rats of the acupuncture group, "Baihui" (GV20) and "Shenting" (GV24) were needled, and for rats of the rTAS group, GV20 and GV24 were stimulated by simulated repeated transcranial manipulation (200 r/min, for 5 min). The treatment was conducted once daily for 14 days. After the intervention, learning and memory abilities were evaluated using the Morris water maze test. Laser speckle technology was used to measure the average cerebral microvascular flow. ELISA was performed to measure the contents of vascular endothelial growth factor (VEGF), endothelin-1 (ET-1), nitric oxide (NO), and inducible nitric oxide synthase (iNOS) in the hippocampal tissues. RESULTS: In comparison with the normal group, the escape latency of rats in the model group was prolonged (P<0.01), and the times of crossing the platform were decreased (P<0.01). The average cerebral microvascular flow and the VEGF content in the hippocampus were significantly decreased, while the contents of NO, iNOS, and ET-1 were significantly increased (P<0.01). In comparison with the model group, the escape latency was significantly shortened (P<0.01), the average cerebral microvascular flow and VEGF content in the hippocampus were significantly increased (P<0.05, P<0.01), while contents of iNOS were significantly decreased (P<0.05, P<0.01) in both acupuncture and rTAS groups；and the times of crossing the platform were increased (P<0.01), the contents of NO and ET-1 in hippocampus were significantly decreased (P<0.01) in the rTAS group. The effects of rTAS were significantly superior to those of acupuncture in up-regulating the average cerebral microvascular flow (P<0.05) and VEGF content (P<0.01), and down-regulating the NO, iNOS and ET-1 contents (P<0.01, P<0.05). CONCLUSIONS: rTAS can increase cerebral microvascular flow, improve spatial cognition and enhance learning and memory abilities of VD rats. The underlying mechanism may be involved in promoting angiogenesis, improving endothelial function and mitigating oxidative stress.

Physical activity during adolescence and early adulthood and breast cancer risk before age 40 years.

BACKGROUND: Breast cancer (BC) incidence is increasing in women under age 40 years, underscoring the need for research on BC risk factors for younger women. METHODS: We used data from an international family cohort (n=26,348) to examine whether recreational physical activity (RPA) during adolescence and early adulthood are associated with BC risk before age 40. The cohort includes 2,502 women diagnosed with BC before age 40, including 2,408 diagnosed before study enrollment (68% within 5 years of enrollment). Women reported their average hours-per-week of moderate and strenuous RPA during adolescence (12-17 years) and early adulthood (25-34 years), which were converted to total age-adjusted metabolic equivalents-per-week and categorized into quartiles. We conducted attained age analyses until age 40 (follow-up time began at age 18) using Cox proportional hazards regression models adjusted for study center, race and ethnicity, and education. RESULTS: Being in the highest versus lowest quartile of RPA during adolescence and early adulthood were respectively associated with 12% [HR (95% CI): 0.88 (0.78, 0.98)] and 16% [HR (95% CI): 0.84 (0.74, 0.95) lower BC risks before age 40. Being in the highest quartile of RPA during both adolescence and early adulthood (Pearson correlation=0.52) versus neither timepoint was associated with a 22% lower risk [HR (95% CI): 0.78 (0.68, 0.89)]. CONCLUSIONS: Findings suggest that RPA during adolescence and early adulthood may lower BC risk before age 40. IMPACT: Policies promoting physical activity during adolescence and early adulthood may be important for reducing the growing burden of breast cancer in younger women.

IG-Net: An Instrument-guided real-time semantic segmentation framework for prostate dissection during surgery for low rectal cancer.

BACKGROUND AND OBJECTIVE: Accurate prostate dissection is crucial in transanal surgery for patients with low rectal cancer. Improper dissection can lead to adverse events such as urethral injury, severely affecting the patient's postoperative recovery. However, unclear boundaries, irregular shape of the prostate, and obstructive factors such as smoke present significant challenges for surgeons. METHODS: Our innovative contribution lies in the introduction of a novel video semantic segmentation framework, IG-Net, which incorporates prior surgical instrument features for real-time and precise prostate segmentation. Specifically, we designed an instrument-guided module that calculates the surgeon's region of attention based on instrument features, performs local segmentation, and integrates it with global segmentation to enhance performance. Additionally, we proposed a keyframe selection module that calculates the temporal correlations between consecutive frames based on instrument features. This module adaptively selects non-keyframe for feature fusion segmentation, reducing noise and optimizing speed. RESULTS: To evaluate the performance of IG-Net, we constructed the most extensive dataset known to date, comprising 106 video clips and 6153 images. The experimental results reveal that this method achieves favorable performance, with 72.70% IoU, 82.02% Dice, and 35 FPS. CONCLUSIONS: For the task of prostate segmentation based on surgical videos, our proposed IG-Net surpasses all previous methods across multiple metrics. IG-Net balances segmentation accuracy and speed, demonstrating strong robustness against adverse factors.