Browse Articles

Simulation of the operating characteristics of an all-metal conical screw pump

Complete mitochondrial genome of Persicaria maackiana reveals genome features, phylogenetic relationships, and nucleotide substitution rates

Chitosan nanoparticles loaded with ribavirin, carboplatin, and thyme oil downregulate SNQ2, ERG11, CDR1, and MDR1 in Candida strains

Matching embodied conversational agent appearance to message emotion enhances persuasion in eHealth

Ifebemtinib and paclitaxel synergistically inhibit the proliferation and metastasis of TNBC by blocking PI3K/Akt pathway through LSD1/PIK3IP1 axis

Generated stresses finite element analysis of restored endodontically treated molar using single versus double titanium posts

Abstract When teeth are extensively injured, the restoration of Endodontically Treated Teeth (ETT) presents substantial obstacles. For these restorations to be successful over the long term, it is essential to ensure appropriate retention and resistance to fracture. The purpose of this study is to use 3D finite element analysis (FEA) to assess the stress distribution in severely damaged ETT following the installation of single versus double titanium posts. Cone beam computed tomography (CBCT) was used to scan an undamaged human mandibular first molar. Three post designs were examined; Model D received one distal post, Model DMB had two posts; distal and mesiobuccal posts, and Model DML included two posts; distal and mesiolingual posts. FEA was used to examine stress distribution and evaluate maximum stress at six areas: occlusal surface, finish line, furcation area, and along the root canal length at 7 mm, 5 mm, and 3 mm from the apex. Model D recorded the highest stress values at all assessed locations, while Model DML reported the least stress values. Model DMB showed intermediate levels of stress. When compared to a single post, the use of two posts considerably reduced stress concentrations, especially when inserted in the distal and mesiolingual canals. FEA proved to be a useful tool in evaluating and directing clinical decisions for repairing ETT. Occlusal surface followed by finish line locations reported the highest stress values in all tested models.

Understanding of adolescents’ knowledge, attitudes, and prevention practices toward COVID-19 using a web-based cross-sectional study

SKP2 protein as a prognostic biomarker for glioma and promotes tumor progression by regulating the cell cycle

A progressive fusion network for endoscopic medical image segmentation

Prediction of tensile strength in aluminum spot welding using machine learning

Upper bound solution to the support pressure of tunnels excavated in weak Hoek–Brown rock masses

Factors influencing the adoption of secure software engineering practices in pre-adoption and post-adoption phases

Abstract Secure software engineering (SSE) is inevitably linked to DevSecOps which aims to embed security at every phase of the software development life cycle. The adoption of SSE practices is however poorly understood, especially in various adoption phases. This study aims to address this gap by exploring what motivates individuals to adopt SSE practices, and investigating how this differs between the pre-adoption and the post-adoption phase. A survey of people working in software development (N=463) recruited through the Prolific platform was conducted to investigate the determinants of behavioral intention to practice SSE. The measurement instrument was validated with a confirmatory factor analysis. Covariance-based structural equation modeling (CB-SEM) was used to determine associations between constructs based on the theory of planned behavior (TPB), technology acceptance model (TAM), and awareness of security risks to developed software and the newest SSE practices. The results indicate that TPB, TAM and awareness explain adoption of SSE practices well. They also indicate major differences between the pre-adoption and post-adoption phases as none of the meaningful associations overlapped between the phases. In the pre-adoption phase, associations of behavioral intention with subjective norm and both awareness constructs have the meaningful effect sizes. Additionally, a non-significant association with perceived usefulness has a small effect size. In the post-adoption phase, behavioral intention was associated with attitude toward SSE and ease of use. Key implications of this study stem from the detected differences between adoption phases which should be considered both in future studies on this topic, and in practical settings in which SSE and thus DevSecOps is being implemented.

Stress mediates the association between atopic dermatitis and sleep duration in Korean adults

A robust network for tiny and arbitrary-oriented ship detection in remote sensing images

Insights into novel konjac glucomannan/zein/fatty acid composite films with excellent properties for food packaging

Comparable oncological and functional outcomes of robot-assisted radical prostatectomy with conventional anterior approach and Hood technique using DAVINCI SP system

Extraction of mandelic acid with ionic liquids: parametric study, model and process optimization with L-SHADE

Temporal changes of headwater river surface microlayer characteristics during the dry to wet season transition in the tropical rainforest of Guyana

Abstract The surface microlayer (SML) is a fundamental control of energy transfer, biogeochemical processes, and climate-active gases flux at the water-atmosphere interface. Organic matter in the SML has an important role in marine environments but inland waters have received far less attention. This results in large unknowns of SML variability and its impact on boundary layer exchanges. In this study, we investigate variations in dissolved organic carbon (DOC) and dissolved organic matter (DOM) composition in SML and subsurface water (SSW) using size exclusion chromatography in a Northern Amazonia rainforest headwater during the dry to wet season transition. During the dry season, we observed higher DOC concentrations with greater DOM compositional variability, characterised by lower humic substance (HS) abundance and elevated contributions of biopolymers (BP), building blocks (BB), and low-molecular-weight neutrals and acids (LMWN, LMWA). River discharge and DOC flux increased in the wet season. However, the overall DOC concentration decreased accompanied by DOM homogenisation, a dominance of HS, and the disappearance of LMWA. The SML and SSW exhibited similar DOC concentrations but distinct compositional differences, evidenced by divergent HS-DOC relationships and HS nominal molecular weight (M n ) characteristics. In the dry season, high M n variability in the SML suggested preferential accumulation of higher-molecular-weight HS, which diminished as wet-season conditions stabilised DOM distribution. Enrichment factors (EFs) for all DOM compound groups between the SML and SSW displayed strong temporal variability. These patterns likely reflect shifts in hydrodynamic regimes, terrestrial inputs, and microbial or photochemical processing. Notably, rainfall events did likely not directly trigger EF pulses but indirectly influenced DOM composition from local sources through terrestrial mobilisation. Our results demonstrate that tropical river DOM dynamics are fundamentally controlled by seasonal hydrological regimes, with discharge-driven processes exerting stronger influence on molecular composition and vertical heterogeneity (particularly in the SML) than direct rainfall effects. This hydrological dominance shapes DOM distribution through three interconnected mechanisms: source variability during low-flow periods, transport-mediated homogenisation during high discharge, and in situ processing that differentially affects boundary layer composition.

GC-MS characterization of bioactive compounds from Lippia multiflora Moldenke (Verbenaceae) flower essential oils and their antibiofilm potential against resistant bacteria

Mitigation Potential of bio-fabricated selenium nanoparticles on arsenic induced stress in morpho-physiological growth of rice (Oryza sativa L.) seedlings

Abstract Arsenic (As) is a highly toxic metalloid that presents a major environmental hazard. Extensive contamination of agricultural soils by As is a global concern, necessitating the development of effective and cost-efficient strategies to mitigate its impact on food safety. Although selenium (Se) has been recognized for its antagonistic interactions with As, the potential of selenium nanoparticles (SeNPs) in mitigating As toxicity remains underexplored. In this study, biocompatible SeNPs were synthesized via a green approach using Vitis vinifera raisin extract and applied to rice ( Oryza sativa L.) seedlings (HUR-105) through priming, co-application, and foliar spraying under As stress. Arsenic exposure significantly (p ≤ 0.01) impaired seedling growth by disturbing nutrient homeostasis, reducing chlorophyll biosynthesis, and weakening membrane stability. Application of SeNPs, particularly at 25 μM foliar concentration, substantially alleviated these effects by enhancing antioxidant enzyme activity, stimulating secondary metabolite production, and improving photosynthetic efficiency. Biochemical analyses revealed pronounced increases in chlorophyll (50%), carbohydrate (45%), soluble protein (48%), and free amino acid (44%) contents, alongside a 38% enhancement in membrane stability index. These findings indicate that SeNPs serves as an effective reactive oxygen species (ROS) quencher, mitigates As-induced oxidative damage by reinforcing redox homeostasis and metabolic activity. The study underscores the potential of SeNPs as a nanotechnological intervention to enhance stress resilience in rice, while highlighting the necessity of field-scale evaluations to establish dose optimization and long-term applicability under variable As conditions.