A single-dose, four-cycle, fully repetitive crossover bioequivalence of dabigatran etexilate in Chinese.

Purpose: Among healthy Chinese subjects, two capsules of dabigatran etexilate were tested for bioequivalence.

Method: Fifty healthy subjects were recruited for each of the fasting and postprandial trials in a randomized, two-sequence, open-label, four-cycle, fully replicated trial design of a single 150 mg dose of either the test or the reference formulation of dabigatran etexilate capsules in the fasting and postprandial states. The blood concentration of dabigatran at different time points after administration was determined by high-performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS).

CO dynamics and sequestration potential in high-nutrient, low-chlorophyll bays: A case study of Yueqing Bay.

Bays, as transitional zones in the land-sea continuum, exhibit fluctuating sea-air CO fluxes influenced by climate change and human activities. The role of eutrophic bays as CO sinks is debated, highlighting the need to understand CO dynamics and controlling factors. This research employs the subtropical semi-enclosed Yueqing Bay as a case to investigate the dynamics of pCO and sea-air CO flux, as well as the carbon sink potential in high-nutrient, low-chlorophyll (HNLC) bays through high-resolution underway surveys.

Gut microbiota-derived imidazole propionate: an emerging target for the prevention and treatment of cardiometabolic diseases.

Despite significant advancements in prevention and treatment, cardiometabolic diseases continue to pose a high burden of incidence and mortality. The chronic progression of these diseases necessitates the identification of early and complementary therapeutic targets to elucidate and mitigate residual risks in patient care. The gut microbiota acts as a sentinel between internal and external environments, transmitting modified risks associated with these factors to the host.

Highly sensitive and rapid screening of radical electrochemical intermediates by chemical labeling untargeted mass spectrometry.

Capturing and analyzing low-abundance, short-lived, and unstable radical intermediates during electrochemical (EC) reactions is important for understanding EC reaction mechanisms. Herein, we developed a chemical labeling strategy for rapid screening and highly sensitive analysis of EC radical intermediates by mass spectrometry (MS). Taking 5,5-dimethyl-1-pyrroline N-oxide (DMPO) labeling reagent as an example, DMPO can react with radical intermediates to form stable labeling products with characteristic fragmentation daughter ions or neutral loss in tandem MS, so the labeled intermediates can be screened by precursor ions scan or neutral loss scan.

Biodiversity Impacts of Land Occupation for Renewable Energy Infrastructure in a Globally Connected World.

The transition to renewable energy exacerbates direct land occupation by infrastructure, leading to habitat degradation and biodiversity loss. However, biodiversity loss driven by the production and consumption of different renewable energy deployment scenarios remains largely unquantified. Quantifying biodiversity loss associated with land occupation of renewable energy infrastructure is essential for a sustainable energy transition.

Marginal adaptation analysis of CAD/CAM resin crown with non-invasive methods.

Objectives: This study compared the silicone replica method with swept-source optical coherence tomography (SS-OCT) to analyze marginal adaptation and investigated the effect of the light incidence angle of SS-OCT on measurement precision.

Materials And Methods: A typodont-prepared mandibular right first molar was scanned using an intraoral scanner (Trios 3). Fourteen crowns were fabricated from CAD/CAM resin blocks (Katana Avencia P) using a 5-axis milling machine (DWX-50).

RNA-protein interaction prediction using network-guided deep learning.

Accurate computational determination of RNA-protein interactions remains challenging, particularly when encountering unknown RNAs and proteins. The limited number of RNAs and their flexibility constrained the effectiveness of the deep-learning models for RNA-protein interaction prediction. Here, we introduce ZHMolGraph, which integrates graph neural network and unsupervised large language models to predict RNA-protein interaction.

Bonding performance of universal adhesive systems with dual-polymerising resin cements to various dental substrates: in vitro study.

Background: Resin cements often require substrate-specific pretreatment. Recently, universal adhesive systems have been introduced, simplifying procedures by eliminating the need for multiple adhesives and offering options that do not require light curing. This study investigated the bonding performance of universal adhesive systems combined with dual-polymerising resin cements on enamel, dentin, zirconia, lithium disilicate ceramics (LDS), and resin blocks.

Catalyst-Free Nitrogen Fixation by Microdroplets through a Radical-Mediated Disproportionation Mechanism under Ambient Conditions.

Nitrogen fixation is essential for the sustainable development of both human society and the environment. Due to the chemical inertness of the N≡N bond, the traditional Haber-Bosch process operates under extreme conditions, making nitrogen fixation under ambient conditions highly desirable but challenging. In this study, we present an ultrasonic atomizing microdroplet method that achieves nitrogen fixation using water and air under ambient conditions in a rationally designed sealed device, without the need for any catalyst.

Case Report: Type Ib Abernethy malformation.

Congenital extrahepatic portosystemic shunt, also known as Abernethy malformation, is a rare anatomic vascular malformation. Patients with Abernethy malformation may present with abdominal pain, abnormal liver function tests, hepatopulmonary syndrome, pulmonary hypertension, and/or portosystemic encephalopathy. Accurate identification of the shunt and portal vein and effective management of complications is vital in these patients.

Biological and clinical characteristics of non-small cell lung cancer non-specific subtype.

Background: Non-small cell lung cancer-not otherwise specified (NSCLC-NOS) is a rare subtype of NSCLC that cannot be classified specifically based on morphology and/or special staining. This study aimed to explore the clinical features, biological and pathological characteristics, treatment, and prognosis of NSCLC-NOS.

Methods: This retrospective study included NSCLC-NOS patients diagnosed and treated between 2010 and 2022.

Degradation of diclofenac sodium by peroxymonosulfate activated with a sulfur-doped chitosan ferrocarbon material: Synergistic interaction of free radical and nonfree radical pathways.

The synthesis of efficient and stable peroxymonosulfate (PMS) catalysts by doping naturally degradable and functional group-rich chitosan (CS) with nonmetallic atoms remains challenging. In this study, an environmentally friendly electron-rich S-doped CS ferrocarbon material (Fe-S-CN) was synthesized via the sol-gel method, and the resulting material exhibited excellent catalytic activity (up to 98.6 % diclofenac sodium (DCF) removal in 5 min), wide pH applicability, environmental tolerance and renewability.

CPIScore: A Deep Learning Approach for Rapid Scoring and Interpretation of Protein-Ligand Binding Interactions.

Protein-ligand binding affinity prediction is a crucial and challenging task in the field of drug discovery. However, traditional simulation-based computational approaches are often prohibitively time-consuming, limiting their practical utility. In this study, we introduce a novel deep learning method, CPIScore, which leverages the capabilities of Transformer and Graph Convolutional Networks (GCN) to enhance the prediction of protein-ligand binding affinity.

Biologically inspired adaptive crack network reconstruction based on slime mould algorithm.

The dynamic crack propagation trajectories play a crucial role in enhancing our understanding of spatial mechanisms involved in crack expansion. However, visualization of internal cracks under complex crack conditions has always been a challenge. Biological networks have been honed by many cycles of evolutionary selection pressure and are likely to yield reasonable solutions to such combinatorial optimization problems.

Balancing Interfacial Toughness and Intrinsic Dissipation for High Adhesion and Thermal Conductivity of Polymer-Based Thermal Interface Materials.

In recent years, adhesive thermal interface materials have attracted much attention because of their reliable adhesion properties on most substrates, preventing moisture, vibration impact, or chemical corrosion damage to components and equipment, as well as solving the heat dissipation problem. However, thermal interface materials have a huge contradiction between strong adhesion and high thermal conductivity. Here, we report a polymer-based thermal interface material consisting of polydimethylsiloxane/spherical aluminum fillers, which possesses both adhesion properties (adhesion strength of 3.

CO-Assisted Controllable Synthesis of PdNi Nanoalloys for Highly Selective Hydrogenation of Biomass-Derived 5-Hydroxymethylfurfural.

The selective hydrogenation of 5-hydroxymethylfurfural (HMF) to 2,5-bishydroxymethyltetrahydrofuran (BHMTHF), a vital fuel precursor and solvent, is crucial for biomass refining. Herein, we report highly selective and stable PdNi nanoalloy catalysts for this deep hydrogenation process. A CO-assisted green method was developed for the controllable synthesis of various bimetallic and monometallic catalysts.

MeCP2 Deficiency Alters the Response Selectivity of Prefrontal Cortical Neurons to Different Social Stimuli.

Rett syndrome (RTT), a severe neurodevelopmental disorder caused by mutations in the MeCP2 gene, is characterized by cognitive and social deficits. Previous studies have noted hypoactivity in the medial prefrontal cortex (mPFC) pyramidal neurons of MeCP2-deficient mice (RTT mice) in response to both social and nonsocial stimuli. To further understand the neural mechanisms behind the social deficits of RTT mice, we monitored excitatory pyramidal neurons in the prelimbic region of the mPFC during social interactions in mice.

Progress in the application of artificial intelligence in molecular generation models based on protein structure.

The molecular generation models based on protein structures represent a cutting-edge research direction in artificial intelligence-assisted drug discovery. This article aims to comprehensively summarize the research methods and developments by analyzing a series of novel molecular generation models predicated on protein structures. Initially, we categorize the molecular generation models based on protein structures and highlight the architectural frameworks utilized in these models.

Soft, Tough, Antifatigue Fracture Elastomer Composites with Low Thermal Resistance through Synergistic Crack Pinning and Interfacial Slippage.

Soft elastomer composites are promising functional materials for engineer interfaces, where the miniaturized electronic devices have triggered increasing demand for effective heat dissipation, high fracture energy, and antifatigue fracture. However, such a combination of these properties can be rarely met in the same elastomer composites simultaneously. Here a strategy is presented to fabricate a soft, extreme fracture tough (3316 J m) and antifatigue fracture (1052.

Sulforaphane reverses the enhanced NSCLC metastasis by regulating the miR-7-5p/c-Myc/LDHA axis in the acidic tumor microenvironment.

Background: The presence of distant metastasis at the time of initial diagnosis is a prevalent issue in non-small cell lung cancer (NSCLC), affecting around 30-40 % of the patients. Acidic tumor microenvironment (TME) provides favorable conditions that increase the invasiveness and aggressiveness of NSCLC. The activity of the glycolytic enzyme lactate dehydrogenase (LDHA) increases intracellular lactate accumulation, which creates an acidic TME.