Browse Articles
Discover research articles across all indexed journals
Which Bonding Protocol Provides the Most Durable Zirconia Adhesion after In Vitro Artificial Aging: A Systematic Review
Enantioselective Construction of 1,3-Stereogenic Centers via 1,3-Borylamination of Conjugated Dienes
Autonomic regulation across sleep and wake during an Antarctic overwintering
Inert Ceramics for Dental Prosthesis: Bibliometric Analysis and Comparative Assessment of Their Morphology and Chemical Composition
Perpendicular Néel Vector Detection of Monolayer Collinear Antiferromagnets with Spin-Layer Coupling
Dynamic causal weighting-based risk propagation modeling for airport movement areas
Evaluation of the Effectiveness of Different Dental Varnishes on White Spot Lesion around Orthodontic Brackets: A Scanning Electron Microscope Study
Closed-Loop and Precision Synthesis of Polymuconates via Organocatalyzed Group Transfer Polymerization
Single-cell and multi-omic characterization of ex vivo expanded ASTRLs from stable kidney transplant recipients reveals a regulatory T cell phenotype
Direct-to-Biology Enabled Molecular Glue Discovery
Targeting NF-kappa B/proinflammatory cytokines/ TGF-β/ TIMP-1 pathway by crocin enhances recovery from hepatic fibrosis in rats
Abstract Background Liver fibrosis is a dynamic and potentially reversible process until irreversible structural changes occur. This study evaluated the curative effect of crocin on carbon tetrachloride (CCl₄)-induced hepatic fibrosis in rats and explored the underlying mechanisms. Methods Thirty male rats were allocated into three groups: a control group treated subcutaneously (SC) with corn oil for 8 weeks followed by intraperitoneal (IP) saline for 2 weeks; a spontaneous recovery group (CCl₄-SC for 8 weeks followed by saline IP for 2 weeks); and a crocin recovery group (CCl₄-SC for 8 weeks followed by crocin 100 mg/kg/day IP for 2 weeks). Liver function tests, fibrosis biomarkers, collagen deposition, inflammatory mediators, oxidative stress indices, and the gene expression of collagen I and α-SMA were assessed using ELISA, spectrophotometry, or qRT-PCR. Results Crocin significantly improved liver function and reduced fibrosis markers (hyaluronic acid, laminin, PCIII, hydroxyproline, TGF-β, TIMP-1). Furthermore, it downregulated collagen I and α-SMA expression and suppressed NF-κB mediated inflammatory cytokines (TNF-α, IL-1β, NO). It also enhanced antioxidant defenses (GSH, SOD, catalase, GSH-Px) compared with the spontaneous recovery group. Conclusion Crocin exerts a promising curative effect against CCl₄-induced hepatic fibrosis in rats by suppressing NF-κB driven inflammation and profibrogenic mediators, thereby limiting collagen deposition.
A Note on Why Low-Symmetry Lanthanide Clusters Can Be Good Single Molecule Magnets
Factors influencing the progression of post-mortem changes between scene and autopsy
Abstract Temperature is a pivotal factor influencing the progression of the decomposition process of a human cadaver and thus its post-mortem changes. In cases of advanced decomposition, various problems arise in routine forensic work, such as difficulties in estimating the time or cause of death. To understand and evaluate the impact of temperature and other related factors on the progression of post-mortem changes between the post-mortem examination and autopsy, 135 dead bodies with different post-mortem intervals (PMI) and varying storage times between discovery and autopsy were examined. The Total Decomposition Score (TDS) and the Total Body Score (TBS) were used to assess and compare the post-mortem changes, while continuous temperature measurements were taken inside the body bags throughout the cooling phase. It was found that the most important factors leading to an increased progression of the post-mortem changes were a high initial body temperature, few post-mortem changes (low TDS/TBS scores) present at the beginning of the cooling period, insect infestation of a body, and a prolonged duration of the storage period. The establishment of uniform standards for the cooling of bodies in Germany, as well as the recognition and appropriate treatment of cases with an increased risk of rapid progression of the post-mortem changes during the cooling period, has the potential to improve the preservation of forensic evidence.
Mapping Vibronic Dynamics of Ultrafast Intersystem Crossing in an Earth-Abundant Ligand-Field Excited Complex
Impact and evolution of hydrological drought in Dagu River Basin under the shared socioeconomic pathways
Autonomous Nanoparticle Synthesis Guided by <i>In Situ</i> Multiscale Structural Characterization
Energy-driven K-means-based LEACH routing protocol for enhanced lifetime in wireless sensor networks
Abstract Wireless Sensor Networks (WSNs) are widely deployed in monitoring and automation applications; however, their performance is constrained by the limited battery capacity of sensor nodes. Traditional K-means-based LEACH routing protocol improves cluster formation using distance-based clustering, but it still relies on Euclidean distance, which does not accurately represent the communication energy cost. The main innovation of this paper is the introduction of an Energy-Driven K-Means-Based LEACH routing protocol in which Euclidean distance is replaced with a novel energy-proxy metric derived from the Radio Energy Dissipation Model. This allows the clustering process to favor low-energy-cost links and penalize long-range transmissions, improving cluster-head placement without increasing computational complexity. The proposed protocol is evaluated against both the traditional K-means-Based LEACH and DEEC-KM; a heterogeneous energy-aware clustering scheme. Simulation results on 100 randomly distributed nodes across deployment areas ranging from 100 × 100 m 2 to 500 × 500 m 2 show that the proposed approach achieves up to 16.98% improvement in network lifetime compared to K-means-Based LEACH, and consistently outperforms DEEC-KM across all densities and metrics, including lifetime, stability periods, delivered packets, and overall energy consumption. These gains are most evident in medium- and low-density networks, while maintaining comparable performance to K-means-Based LEACH in very dense deployments. Overall, the proposed protocol contributes a lightweight yet energy-aware enhancement to centralized LEACH clustering, improving scalability and extending network lifetime under energy-constrained WSN conditions.