Continental-scale metabolomic fingerprint and antialgal activity of coastal invasive plant Spartina alterniflora: regional heterogeneity and driving factors.

Spartina alterniflora as a potential algaecide has invaded coastal ecosystems globally. However, the regional heterogeneity and driving factors of the metabolomic fingerprint in S. alterniflora are still unknown.

DNA nanostructures with 1D, 2D and 3D for intelligent drug delivery.

Structural DNA nanotechnology has emerged as a powerful tool in modern medicine, offering precise self-assembly and spatial programmability for the design of functional nanocarriers. DNA nanostructures can be categorized into one-dimensional (1D), two-dimensional (2D), and three-dimensional (3D) architectures, each with distinct advantages: 1D structures are suited for studying cellular responses to physical cues, 2D structures provide large surface areas for enhanced molecular recognition, and 3D structures enable improved cellular uptake and tissue penetration. Despite their potential, there is still no widespread consensus on the optimal structural design for specific diseases.

Perioperative efficiency and clinical outcomes of single-port versus multi-port robot-assisted radical prostatectomy: an updated meta-analysis.

The relative benefits of single-port (SP) versus multi-port (MP) robot-assisted radical prostatectomy (RARP) for prostate cancer remain uncertain, with conflicting evidence reported in the literature. This systematic review aimed to compare perioperative outcome metrics, oncologic efficacy, and functional recovery outcomes between SP-RARP and MP-RARP. A thorough literature search was conducted using PubMed, Embase, Web of Science, and the Cochrane Library to locate English-language research published until June 2025.

Corticospinal Excitability in Bilateral M1 Hand Areas: Association with Neuropathic Pain After Spinal Cord Injury.

Purpose: Neuropathic pain (NP) is a major and debilitating complication of spinal cord injury (SCI), frequently occurring bilaterally below the injury level. Repetitive transcranial magnetic stimulation (rTMS) targeting the primary motor cortex (M1) is suggested as a treatment for NP following SCI (SCI-NP). However, the specific changes in corticospinal excitability (CSE) within the bilateral M1 remain unclear, hindering the development of optimized rTMS parameters for SCI-NP.

The impact of fitness social media use on exercise behavior: the chained mediating role of intrinsic motivation and exercise intention.

Objective: This study aimed to investigate the psychological mechanisms by which fitness social media use influences individuals' exercise behavior, focusing on the chained mediating roles of intrinsic motivation and exercise intention.

Methods: A cross-sectional online survey was conducted in April 2025 using snowball sampling, targeting social media users who regularly engage in physical activity. A total of 425 valid responses were analyzed.

Demonstration of an error-free and equalization-free data transmission system based on CMOS compatible GeSi devices.

We demonstrate an error-free data transmission system without equalization, where both transmitter and receiver are fabricated using complementary metal oxide semiconductor (CMOS) compatible germanium-silicon (GeSi) processes. By utilizing a germanium-based electro absorption modulator (EAM) and a photodetector (PD), experimental results show that the L-band transmission system can achieve error-free transmission of 32 G baud non-return-to-zero (NRZ) signals. This work paves the way for mass production of direct link systems, providing a small size, low cost, and low latency solution for board-to-board communication applications.

Exploring the predictive "psycho-biomarkers" for checkpoint immunotherapy in cancer.

Background: In recent decades, cancer immunotherapy has transformed the treatment landscape, offering significant advantages over traditional therapies by improving progression-free survival (PFS) and overall survival (OS). However, immune checkpoint inhibitors (ICIs) treatment has been associated with an increased risk of mortality in its early stages. Therefore, identifying reliable biomarkers to predict which patients will benefit clinically from ICIs therapy is critical.

Re-discovery and re-description of the true (Boulenger, 1899) (Serpentes, Pseudoxenodontidae), with the taxonomic status of the populations previously considered as .

Background: The type locality of is in Wuyishan Mountain, Fujian Province, China and, currently, this species is considered to be widely distributed in southern China and northern Vietnam. However, since this species was described, there have been very few reports of this species from its type locality.

New Information: We re-discovered from its type locality and collected one topotypic specimen.

A Unified Random Walk, Its Induced Laplacians and Spectral Convolutions for Deep Hypergraph Learning.

Hypergraph-based modeling has gained significant attention for capturing complex higher-order interactions among vertices. While random walks serve as fundamental tools for analyzing hypergraphs, existing approaches either fail to fully leverage edge-dependent vertex weights (EDVWs) or lack sufficient expressiveness to model intricate hypergraph structures. To address these limitations, we propose a unified random walk framework that integrates hyperedge degrees and vertex weights, offering a more robust approach to hypergraph modeling.

Predictive and prognostic models and visualizations of distant metastasis in gallbladder cancer.

Employing multivariate statistical methods, we aimed to construct and validate predictive models for distant metastasis (DM) risk and overall survival (OS) in patients with gallbladder cancer (GBC), using data from the surveillance, epidemiology, and end results database maintained by the National Cancer Institute. These models were visualized through the development of intuitive nomograms. We extracted clinical data of all patients diagnosed with GBC between 2010 and 2015 from the surveillance, epidemiology, and end results database.

AlgicideDB: a comprehensive database enhanced by large language models for algicide management and discovery.

Harmful algal blooms (HABs) are increasing in frequency and intensity worldwide, posing significant threats to aquatic ecosystems, fisheries, and human health. While chemical algicides are widely used for HABs control due to their rapid efficacy, the lack of systematic data integration and concerns over environmental toxicity limit their broader application. To address these challenges, we developed AlgicideDB, a manually curated database containing 1,672 algicidal records on 542 algicides targeting 110 algal species.

Seamless optical cloud computing across edge-metro network for generative AI.

The rapid advancement of generative artificial intelligence (AI) in recent years has profoundly reshaped modern lifestyles, necessitating a revolutionary architecture to support the growing demands for computational power. Cloud computing has become the driving force behind this transformation. However, it consumes significant power and faces computation security risks due to the reliance on extensive data centers and servers in the cloud.

Postoperative functional complications and quality of life following robot-assisted prostatectomy and radiotherapy in localized prostate cancer: evidence from a systematic review and meta-analysis.

To compare patient-reported functional outcomes and health-related quality of life (QoL) after robot-assisted radical prostatectomy (RARP) and radiotherapy (RT) for localised prostate cancer. We systematically searched PubMed, EMBASE, the Cochrane Library and Web of Science (inception to 10 January 2025). Comparative studies reporting urinary, bowel or sexual outcomes were eligible.

Adult-onset hypothyroidism induces granulosa cell apoptosis and affects ovarian follicle development in rats.

Introduction: Hypothyroidism is a common endocrine disorder in women, which could lead to ovulation disorders and infertility, however, the effects of adult-onset hypothyroidism on ovarian development and gene expression characteristics need further study.

Methods: Here we conducted an adult-onset hypothyroidism rat model by using the methimazole (MMI) induction, then the hormone level changes and ovarian development were evaluated, furthermore, the effects of gene expression of granulosa cells and oocytes were detected by using single-cell RNA sequencing.

Results: Our results showed that, in addition to a decrease in thyroid hormones, the body weight was significantly reduced, while the estrus cycle was prolonged in the hypothyroidism group.

Enhanced gain in O-band quantum-dot semiconductor optical amplifier based on a dual-pass amplification scheme.

Quantum dot (QD)-based semiconductor optical amplifiers (SOAs) are critical amplifying elements for future high-speed, cost-effective optical communication networks. In this work, we demonstrate a high-gain 1.3 µm QD SOA with a proposed dual-pass configuration, achieving a record small-signal gain of 44.

Effects of Fstl1 on neuroinflammation and microglia activation in lipopolysaccharide-induced acute depression-like mice.

Depression is the most prevalent psychiatric illness, and its pathogenesis is associated with neuroinflammation. Follistatinlike protein 1 (FSTL1), a novel inflammatory protein, participates in the pathogenesis of diseases related to neuroinflammation. Therefore, we aimed to investigate the effect of FSTL1 in the pathogenesis of depression mediated using neuroinflammation-mediated models.

Exploring the causal relationship between Hashimoto thyroiditis and metabolic-associated fatty liver disease: A Mendelian randomization study.

This study aims to investigate the possible causal link between Hashimoto thyroiditis (HT), an autoimmune disorder, and metabolic-associated fatty liver disease (MAFLD), previously referred to as nonalcoholic fatty liver disease (NAFLD), a common metabolic condition. Using genome-wide association study data from large European populations, we performed a bidirectional Mendelian randomization (MR) analysis. We identified single nucleotide polymorphisms strongly associated with HT and MAFLD/NAFLD, which we used as instrumental variables to probe the causal relationship between these 2 conditions.

LucaPCycle: Illuminating microbial phosphorus cycling in deep-sea cold seep sediments using protein language models.

Phosphorus is essential for life and critically influences marine productivity. Despite geochemical evidence of active phosphorus cycling in deep-sea cold seeps, the microbial processes involved remain poorly understood. Traditional sequence-based searches often fail to detect proteins with remote homology.

Novel 3D UAV Path Planning for IoT Services Based on Interactive Cylindrical Vector Teaching-Learning Optimization Algorithm.

In the 6G-IoT convergence ecosystem, UAV path planning for static environments is systematically investigated as a resource coordination problem where communication demands and terrain constraints are balanced through intelligent trajectory optimization. The innovation of this paper lies in the proposal of an interactive cylinder vector teaching-learning-based optimization (ICVTLBO) algorithm, where UAV trajectory points are represented in cylindrical coordinates, and targeted interactive strategies are proposed during the teacher and learner phases to address uncertainty challenges, such as terrain elevation fluctuations and communication link instability caused by obstacles in static environments. The ICVTLBO is compared with other classical and novel algorithms on the CEC2022 benchmark function suite, demonstrating its effectiveness and reliability in solving complex optimization problems.

Bidirectional Bending Soft Actuator with Multistimuli Responsiveness for Environmental Pollutant Monitoring.

Soft actuators have emerged as promising tools for environmental monitoring; however, most existing actuators suffer from multistimuli cross-sensitivity and limited adaptability across various environments. Herein, we propose a bilayer soft actuator composed of a graphene-doped polydimethylsiloxane (G@PDMS) layer and a poly(vinylidene fluoride) (PVDF) layer, capable of effective deformation in both air and aqueous environments while exhibiting selective responsiveness. The actuator demonstrates multistimuli responsiveness to organic solvents/vapors, thermal radiation, and infrared (IR) radiation in air, achieving bidirectional deformation under organic stimuli with a remarkable bending angle of 630° and a load capacity of 180 times its self-weight.

High-performance tunable spatial light modulator based on a lead zirconate titanate thin film.

A dynamically tunable spatial light modulator (SLM) that leverages the electro-optic effect typically exhibits faster response times and higher operating frequencies, making it highly suitable for optical communication applications. However, existing spatial electro-optic modulators often suffer from limited phase modulation capabilities and complex, costly fabrication processes. To overcome these limitations, this paper introduces what we believe to be a novel SLM design utilizing a lead zirconate titanate (PZT) film.

Tailoring adversarial attacks on deep neural networks for targeted class manipulation using DeepFool algorithm.

The susceptibility of deep neural networks (DNNs) to adversarial attacks undermines their reliability across numerous applications, underscoring the necessity for an in-depth exploration of these vulnerabilities and the formulation of robust defense strategies. The DeepFool algorithm by Moosavi-Dezfooli et al. (2016) represents a pivotal step in identifying minimal perturbations required to induce misclassification of input images.

Protective effects of against hepatocyte apoptosis during hepatic fibrosis progression.

is a medicinal plant with anti-inflammatory, antioxidant, and antitumor properties. Limited studies exist on the link between and liver fibrosis. The focus of this study is to examine the impact of -containing serum on rat hepatocytes undergoing hepatic fibrosis.