All-solid Conductive Elastomers Bridging Mechanical Performance and Sustainability for Durable and Multifunctional Electronics.

The next generation of stretchable electronics seeks to integrate superior mechanical properties with sustainability and sensing stability. Ionically conductive and liquid-free elastomers have gained recognition as promising candidates, addressing the challenges of evaporation and leakage in gel-based conductors. In this study, a sustainable polymeric deep eutectic system is synergistically integrated with amino-terminated hyperbranched polyamide-modified fibers and aluminum ions, forming a conductive supramolecular network with significant improvements in mechanical performance.

Enhanced brain tumor detection and segmentation using densely connected convolutional networks with stacking ensemble learning.

- Brain tumors (BT), both benign and malignant, pose a substantial impact on human health and need precise and early detection for successful treatment. Analysing magnetic resonance imaging (MRI) image is a common method for BT diagnosis and segmentation, yet misdiagnoses yield effective medical responses, impacting patient survival rates. Recent technological advancements have popularized deep learning-based medical image analysis, leveraging transfer learning to reuse pre-trained models for various applications.

Protocol for alleviating alcohol-induced conditioned place preference in mice using alternating bilateral sensory stimulation.

Alternating bilateral sensory stimulation (ABS) is a clinical physical therapy technique effective in treating post-traumatic stress disorder (PTSD). However, its utilization in treating conditions beyond PTSD remains limited. Here, we present a protocol to reduce ethanol-induced conditioned place preference (CPP) using 4 Hz ABS.

Predictive value of insulin resistance metabolic score for cardiovascular disease in Chinese arthritis patients: a prospective cohort study.

Objectives: Although patients with arthritis have significantly increased cardiovascular disease (CVD) risk, effective prediction tools remain limited. This study aimed to evaluate the predictive value of the Metabolic Score for Insulin Resistance (METS-IR) for CVD events among Chinese patients with arthritis.

Methods: Using data from the China Health and Retirement Longitudinal Study (CHARLS), we conducted a 7-year prospective cohort study (2011-2018) involving 1,059 patients with arthritis.

Machine learning-assisted cancer diagnosis in patients with paraneoplastic autoantibodies.

Purpose: Paraneoplastic syndromes (PNS) are a group of rare disorders triggered by an immune response to malignancy, characterized by diverse neurological, muscular, and systemic symptoms. This study aims to leverage machine learning to develop a predictive model for cancer diagnosis in patients with paraneoplastic autoantibodies.

Methods: Demographic data included age and sex, and presenting symptoms were recorded.

Atomically Dispersed Co-P Moieties via Direct Thermal Exfoliation for Alkaline Hydrogen Electrosynthesis.

The development of highly active and stable cathodes in alkaline solutions is crucial for promoting the commercialization of anion exchange membrane (AEM) electrolyzers, yet it remains a significant challenge. Herein, we synthesized atomically dispersed CoP moieties (CoP-SSC) immobilized on ultrathin carbon nanosheets via a phosphidation exfoliation strategy at medium temperature. The thermodynamic formation process of the Co-P moieties was elucidated using X-ray absorption spectroscopy (XAS) and theoretical calculations.

EPR Characterization of the BlsE Substrate Radical Offers Insight into the Determinants of Reaction Outcome that Distinguish Radical SAM Dioldehydratases from Dehydrogenases.

A small but growing set of radical SAM (-adenosyl-l-methionine) enzymes catalyze the radical mediated dehydration or dehydrogenation of 1,2-diol substrates. In some cases, these activities can be interchanged via minor structural perturbations to the reacting components raising questions regarding the relative importance of hyperconjugation, proton circulation and leaving group stability in determining the reaction outcome. The present work describes trapping and electron paramagnetic resonance (EPR) characterization of an α-hydroxyalkyl radical intermediate during dehydration and dehydrogenation of cytosylglucuronic acid and its derivatives catalyzed by the radical SAM enzyme BlsE and its Glu189Ala mutant from the blasticidin S biosynthetic pathway.

Identifying protected health information by transformers-based deep learning approach in Chinese medical text.

In the context of Chinese clinical texts, this paper aims to propose a deep learning algorithm based on Bidirectional Encoder Representation from Transformers (BERT) to identify privacy information and to verify the feasibility of our method for privacy protection in the Chinese clinical context. We collected and double-annotated 33,017 discharge summaries from 151 medical institutions on a municipal regional health information platform, developed a BERT-based Bidirectional Long Short-Term Memory Model (BiLSTM) and Conditional Random Field (CRF) model, and tested the performance of privacy identification on the dataset. To explore the performance of different substructures of the neural network, we created five additional baseline models and evaluated the impact of different models on performance.

Responsive Surfactant-Driven Morphology Transformation of Block Copolymer Microparticles.

Block copolymer (BCP) microparticles, which exhibit rapid change of morphology and physicochemical property in response to external stimuli, represent a promising avenue for the development of programmable smart materials. Among the methods available for generating BCP microparticles with adjustable morphologies, the confined assembly of BCPs within emulsions has emerged as a particularly facile and versatile approach. This review provides a comprehensive overview of the role of responsive surfactants in modulating interfacial interactions at the oil-water interface, which facilitates controlled BCP microparticle morphology.

Enhanced Immunogenicity and Affinity with A35R-Fc-Based Chimeric Protein Compared to MPXV A35R Protein.

The re-emergence of the mpox pandemic poses considerable challenges to human health and societal development. There is an urgent need for effective prevention and treatment strategies against the mpox virus (MPXV). In this study, we focused on the A35R protein and created a chimeric A35R-Fc protein by fusing the Fc region of IgG to its C-terminal.

Synergistic Antifungal Activity of Terbinafine in Combination with Light-Activated Gelatin-Silver Nanoparticles Against Strains.

The development of resistance to traditional antifungal therapies has necessitated the exploration of alternative treatment strategies to effectively manage fungal infections, particularly those induced by (). This research investigates the possibility of integrating silver nanoparticles (AgNPs) with Terbinafine to improve antifungal effectiveness. Terbinafine, while potent, faces challenges with specific fungal strains, highlighting the need for strategies to enhance its treatment efficacy.

Glycyrrhizinate Monoammonium Cysteine-Loaded Lipid Nanoparticles Allow for Improved Acute Liver Injury Therapy.

Acute liver injury (ALI) is a prevalent and potentially lethal condition globally, where pharmacotherapy plays a vital role. However, challenges such as rapid drug excretion and insufficient concentration at hepatic lesions often impede the treatment's effectiveness. We successfully prepared glycyrrhizinate monoammonium cysteine (GMC)-loaded lipid nanoparticles (LNPs) using high-pressure homogenization.

Peptides as Versatile Regulators in Cancer Immunotherapy: Recent Advances, Challenges, and Future Prospects.

The emergence of effective immunotherapies has revolutionized therapies for many types of cancer. However, current immunotherapy has limited efficacy in certain patient populations and displays therapeutic resistance after a period of treatment. To address these challenges, a growing number of immunotherapy drugs have been investigated in clinical and preclinical applications.

Combined Impact of Canada Goldenrod Invasion and Soil Microplastic Contamination on Seed Germination and Root Development of Wheat: Evaluating the Legacy of Toxicity.

The concurrent environmental challenges of invasive species and soil microplastic contamination increasingly affect agricultural ecosystems, yet their combined effects remain underexplored. This study investigates the interactive impact of the legacy effects of Canada goldenrod ( L.) invasion and soil microplastic contamination on wheat ( L.

Plant Adaptation and Soil Shear Strength: Unraveling the Drought Legacy in .

Climate change has led to an increasing frequency of droughts, potentially undermining soil stability. In such a changing environment, the shallow reinforcement effect of plant roots often fails to meet expectations. This study aims to explore whether this is associated with the alteration of plant traits as a response to environmental change.

The Improvement Effects of BC99 on Liver Function and Gut Microbiota of Long-Term Alcohol Drinkers: A Randomized Double-Blind Clinical Trial.

Background/objectives: With the improvement of living standards, alcoholic liver disease caused by long-term drinking has been a common multiple disease. Probiotic interventions may help mitigate liver damage caused by alcohol intake, but the mechanisms need more investigation.

Methods: This study involved 70 long-term alcohol drinkers (18-65 years old, alcohol consumption ≥20 g/day, lasting for more than one year) who were randomly assigned to either the BC99 group or the placebo group.

Relationship Between Depression and Epigallocatechin Gallate from the Perspective of Gut Microbiota: A Systematic Review.

Depression, a serious mental illness, is characterized by high risk, high incidence, persistence, and tendency to relapse, posing a significant burden on global health. The connection between depression and gut microbiota is an emerging field of study in psychiatry and neuroscience. Understanding the gut-brain axis is pivotal for understanding the pathogenesis and treatment of depression.

Impact of Time-Restricted Eating and High-Intensity Exercise on Nutrient Intake in Women with Overweight/Obesity: Secondary Analysis of a Randomized Controlled Trial.

Background/objectives: Inadequate micronutrient intakes are common in individuals with overweight/obesityand can exacerbate cardiovascular and metabolic disease risk. Diet and exercise are primary strategies for managing overweight and may influence nutrient intakes. In this secondary analysis of dietary data collected in a randomized controlled trial (RCT, ClinicalTrials.

An Overview of Potential Applications of Environmentally Friendly Hybrid Polymeric Materials.

The applications of polymeric materials are being constantly reviewed and improved. In the present world, the word hybrid, and the general idea of combining two or more inherently different approaches, designs, and materials is gaining significant attention. The area of sustainable materials with a low environmental impact is also rapidly evolving with many new discoveries, including the use of materials of a natural origin and countless combinations thereof.

Characterization of Self-Cured Silicone Oils for Encapsulation of Ultraviolet-C Light-Emitting Diodes.

The effectiveness of ultraviolet-C light-emitting diodes (UVC LEDs) is currently limited by the lack of suitable encapsulation materials, restricting their use in sterilization, communication, and in vivo cancer tumor inhibition. This study evaluates various silicone oils for UVC LED encapsulation. A material aging experiment was conducted on CF1040 (octamethylcyclotetrasiloxane), HF2020 (methyl hydro polysiloxanes), and MF2020-1000 (polydimethylsiloxane) under UVC radiation for 1000 h.

Effects of Additional Flexible and Rigid Structure on BDT-BDD Terpolymer and the Performance of Organic Solar Cells.

In organic solar cells, the aggregation and crystallization of polymers are significant for bulk heterojunction. Blending with acceptor materials, polymer donor materials can adjust their aggregation by the movement of the chain segments. In this paper, the unfused structures based on thiophene and carbazole are respectively designed and introduced into the donor-acceptor copolymer donor materials to investigate the influence of flexible and rigid structures on polymer-aggregation leading photoelectric performance.

The Impact of High-Speed Crushing Process of Fibrous Polytetrafluoroethylene on Pyrolyzed Carbon Black/Natural Rubber Composites.

This study employed a high-speed rotating crushing process to modify pyrolyzed carbon black (CBp) using self-lubricating and low-friction polytetrafluoroethylene (PTFE). The effects of PTFE content on the dispersion, mechanical properties, wear resistance, and thermal stability of modified PTFE-CBp/natural rubber (NR) composites were investigated. The rotating crushing process from the high-speed grinder altered the physical structure of PTFE, forming tiny fibrous structures that interspersed among the CBp particles.

Improved Biomineralization Using Cellulose Acetate/Magnetic Nanoparticles Composite Membranes.

Following implantation, infections, inflammatory reactions, corrosion, mismatches in the elastic modulus, stress shielding and excessive wear are the most frequent reasons for orthopedic implant failure. Natural polymer-based coatings showed especially good results in achieving better cell attachment, growth and tissue-implant integration, and it was found that the inclusions of nanosized fillers in the coating structure improves biomineralization and consequently implant osseointegration, as the nanoparticles represent calcium phosphate nucleation centers and lead to the deposition of highly organized hydroxyapatite crystallites on the implant surface. In this study, magnetic nanoparticles synthesized by the co-precipitation method were used for the preparation of cellulose acetate composite coatings through the phase-inversion method.

Active Polylactide-poly(ethylene glycol) Films Loaded with Olive Leaf Extract for Food Packaging-Antibacterial Activity, Surface, Thermal and Mechanical Evaluation.

As the demand for sustainable and innovative solutions in food packaging continues to grow, this study endeavors to introduce a comprehensive exploration of novel active materials. Specifically, we focus on characterizing polylactide-poly(ethylene glycol) (PLA/PEG) films filled with olive leaf extract (OLE; ) obtained via solvent evaporation. Examined properties include surface structure, thermal degradation and mechanical attributes, as well as antibacterial activity.

Cell Morphology, Material Property and Ni(II) Adsorption of Microcellular Injection-Molded Polystyrene Reinforced with Graphene Nanoparticles.

Graphene's incorporation into polymers has enabled the development of advanced polymer/graphene nanocomposites with superior properties. This study focuses on the use of a microcellular foamed polystyrene (PS)/graphene (GP) nanocomposite (3 wt%) for nickel (II) ion removal from aqueous solutions. Adsorption behavior was evaluated through FTIR, TEM, SEM, TGA, and XRD analyses.