Search Results (4,078)

Background: The aim of this ex vivo study was to compare the resistance to lateral wall failure during sequential implant site preparation using osseodensification (OD) burs and conventional rotary drills in a standardized narrow ridge model. The primary outcome was the drill diameter at first lateral wall perforation. Secondary outcomes included paired perforation occurrence at a clinically relevant diameter (4.0 mm) and perforation morphology (length and width). Methods: Twenty standardized trabecular bone blocks were prepared in a paired within-specimen design, with each block receiving two osteotomies: one prepared using conventional rotary drills and the other using OD burs. Osteotomy diameter was sequentially increased according to the manufacturers’ protocols until lateral wall perforation occurred. The drill diameter at first perforation was recorded. Perforation morphology (length and width) was quantified using high-resolution extraoral digital scanning and software-based measurements. Statistical analysis was performed using paired non-parametric tests (α = 0.05). Results: OD burs significantly delayed lateral wall perforation compared with conventional drills (median 4.30 vs. 4.00 mm; p = 0.0000171). At the 4.0 mm drill step, perforation occurred in 16/20 (80%) conventional versus 2/20 (10%) OD preparations (p = 0.0013). Perforation length was significantly greater with conventional drilling (p = 0.000681), while no significant difference was observed for perforation width (p = 0.073). Conclusions: Within the limits of this decorticated trabecular ex vivo model, OD increased resistance to lateral wall failure, delayed perforation onset, and reduced perforation length compared with conventional drilling. Full article

In this study, the microstructure, mechanical properties, and corrosion behavior of extruded Mg-Y-0.5Zn alloys with varying Y contents (0.5~3.0 wt%) were systematically investigated. The results demonstrate that by increasing the Y content from 0.5% to 3.0%, the grain sizes of four alloys are 11.27 μm, 11.90 μm, 15.26 μm, and 13.65 μm. The secondary phases of all four alloys consist of granular Mg₂₄Y₅ and fine Mg₁₂YZn, and the total volume fraction of these precipitates increased. Correspondingly, both microhardness and strength are enhanced, while ductility decreases. The microhardness increases from 57.1 HV to 61.7 HV, the tensile yield strength (TYS) improves from 103.8 MPa to 155.4 MPa, and the ultimate tensile strength (UTS) rises from 211.4 MPa to 235.9 MPa. Regarding corrosion performance, the extruded Mg-1Y-0.5Zn alloy exhibits the best corrosion resistance based on both in vitro immersion tests and electrochemical measurements. A uniform and dense corrosion product layer is observed on the surface of Mg-1Y-0.5Zn alloy, leading to the lowest corrosion rate of 0.36 mm/y, while loose and micro-cracked corrosion product layers are formed on other alloys. In addition, cytotoxicity test shows that the relative cell proliferation rates of the four extruded alloys were 121.41%, 123.7%, 117.96%, and 112.86%, indicating good biocompatibility. Full article

During the SARS-CoV-2 pandemic, healthcare systems faced an increased burden of secondary infections, including those caused by Candida auris, an emerging multidrug-resistant pathogen associated with hospital outbreaks worldwide. We aimed to describe the clinical and microbiological characteristics of a hospital outbreak of Candida auris fungemia in patients with COVID-19 in a tertiary care center. This retrospective observational study included 14 patients diagnosed between November 2020 and April 2021. Infection was initially identified using VITEK2^® and confirmed using MALDI-TOF MS, with antifungal susceptibility determined using broth microdilution. All patients developed fungemia, were mechanically ventilated, and had central venous access and prolonged hospital stays; 64.2% had comorbidities. Resistance frequencies based on CDC tentative MIC thresholds were observed for fluconazole (64.2%) and amphotericin B (71.4%). In-hospital mortality was 50%; exploratory analyses of factors associated with mortality should be interpreted cautiously given the small sample size. These findings highlight the significant clinical impact of Candida auris in critically ill COVID-19 patients, particularly in the context of invasive care and antimicrobial resistance. The outbreak underscores the importance of early identification, appropriate antifungal therapy, and strict infection prevention and control measures. Further studies are needed to better define risk factors and optimize management strategies in similar settings. Full article

Metabolic risk increases with age and may be accompanied by changes in adipocytokine secretion and insulin sensitivity. The primary exploratory aim of this prospective, uncon-trolled study was to determine whether repeated whole-body cryotherapy (WBC) changes circulating meteorin-like hormone (METRNL) concentrations in women of different ages. Secondary exploratory outcomes included irisin, asprosin, leptin, adiponectin, insulin, fasting blood glucose (FBG), lipid profile, homeostasis model assessment of insulin resistance (HOMA-IR), triglyceride–glucose index (TyG), atherogenic index of plasma (AIP), and the leptin/adiponectin ratio. A total of 48 women were divided into three groups: GR-60 (60–70 years, n = 14), GR-40 (40–50 years, n = 18), and GR-20 (20–30 years, n = 16). Participants underwent 30 WBC sessions, each lasting 3 min at minus 120 °C. Blood samples were collected before the first WBC session, after the 10th, 20th, and 30th sessions, and two weeks after the final session. Repeated WBC did not significantly change circulating METRNL or other adipocytokines in any age group. A preliminary decrease in insulin concentration and HOMA-IR was observed after 20 WBC sessions only in GR-60. These findings suggest that repeated WBC may be associated with favorable changes in selected insulin-resistance markers in older postmenopausal women; however, the absence of a non-WBC control group, small subgroup sizes, and the multiplicity burden preclude causal or therapeutic conclusions. Randomized controlled studies are needed to verify these exploratory observations. Full article

Cetuximab and panitumumab are anti-EGFR monoclonal antibodies widely used for the treatment of colorectal cancers. However, due to various mechanisms of resistance to these targeted therapies, the patients’ responses vary. These resistances remain a major obstacle in treatment and overcoming them has become a key emphasis of current therapeutic strategies. Intrinsic and acquired resistance often lead to reactivation of downstream signaling pathways, mainly the RAS-RAF-MEK-ERK (MAPK pathway) and PI3K-AKT axes. Prior existing mutations in KRAS, NRAS, and BRAF result in primary resistance by constantly activating the signals, irrespective of EGFR inhibition. That said, acquired resistance manifests under therapeutic burden through the process of clonal evolution via KRAS and BRAF alterations, restoring MAPK pathway activity despite EGFR inhibition. In addition to those mutations, tumor cells exploit mechanisms independent of EGFR, such as the pathway bypass, which includes amplification of ERBB family receptors like HER2 (ERBB2) and activation of MET signaling. To overcome these resistances, novel strategies have emerged, which target multiple nodes within the oncogenic networks. Such methods include vertical pathway inhibition, multi-kinase inhibition, liquid-biopsy-guided therapy, and anti-EGFR rechallenge. Reactivation driven by secondary mutation can be prevented by targeting multiple nodes within the MAPK cascade simultaneously, which is referred to as the vertical pathway inhibition. Overall, this review underscores that overcoming therapeutic resistance requires a multidimensional approach that integrates molecular profiling, rational combination therapies, and adaptive treatment. Finally, these advances underscore the shift toward precision oncology, where therapy is tailored to tumor evolution, leading to improved response and patient outcome. Full article

Aiming at severe soil secondary salinization, poor water retention and insufficient salt tolerance of conventional acrylic-based modifiers in arid and semi-arid regions of China, a poly(ethylene glycol) maleate citrate (PEGMC) crosslinking monomer was synthesized through esterification, and a dual covalent–hydrogen crosslinked P(PEGMC/AA) hydrogel was fabricated via free radical copolymerization with acrylic acid (AA). The hydrogel was characterized by NMR, FTIR, SEM, TGA and elemental mapping, while its binding mechanism with saline–alkali ions was elucidated through DFT calculations and molecular dynamics simulations. Its amelioration performance was evaluated through swelling, soil water retention, desalination and pot germination experiments. The hydrogel exhibited outstanding water absorbency, salt resistance and dry–wet cycling stability, with swelling ratios of 712 g/g in deionized water and 285 g/g in 0.9% NaCl solution, and remained 200 g/g after four dry–wet cycles. It enhanced soil water retention remarkably (over 93% after 72 h). At 0.30% dosage, soil salt content declined from 7.1 g/kg to 1.3 g/kg with desalination efficiency exceeding 80%, owing to porous physical adsorption and chemical chelation toward Na⁺, Ca²⁺ and Mg²⁺, with a binding energy of −136.936 kJ/mol. Pot tests revealed that crop germination rate rose from 19% (blank) to 75% under severe saline–alkali stress. Meanwhile, the hydrogel inhibited nutrient leaching and favored soil-water conservation. This work first incorporated PEGMC monomer into agricultural hydrogels to construct a stable dual crosslinked network, clarifying its synergistic mechanisms for salt fixation and water retention macroscopically and microscopically. It provides a promising functional material and theoretical basis for green, efficient in situ amelioration of dryland saline–alkali soil. Full article

This systematic narrative review synthesizes 42 distinct sources including peer-reviewed journal articles, selected conference papers, and policy documents to examine the role of knowledge management (KM) processes in Saudi higher education accreditation, with specific focus on the National Center for Academic Accreditation and Evaluation (NCAAA) standards. Drawing on literature published between 2005 and 2025, the review investigates how KM frameworks, including Nonaka and Takeuchi’s SECI model (socialization, externalization, combination, and internalization), may be associated with accreditation outcomes in Saudi universities. The reviewed literature suggests an association between systematic KM approaches and more effective accreditation processes; causal conclusions are not warranted given the observational and case study nature of the evidence base. Certainty of the overall evidence body is rated as low to moderate. The study reveals significant challenges, including information decentralization, inadequate training, resistance to change, and the absence of dedicated governance structures that appear to impede effective knowledge transfer during accreditation processes. A secondary sustainability coding pass identified associations between KM-driven accreditation practices and institutional sustainability, environmental sustainability, and alignment with SDG 4 (Quality Education) and SDG 16 (Strong Institutions); these findings are hypothesis-generating rather than confirmatory. It should be noted that all screening and data extraction were conducted by a sole reviewer; a post hoc validation exercise achieved Cohen’s kappa = 0.81 (95% CI: 0.72–0.90) for inclusion/exclusion decisions, providing retrospective assurance of acceptable consistency. This systematic review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines. Full article

Purpose: Competency-Based Education (CBE) represents a fundamental shift from traditional credit-hour systems, emphasizing mastery of defined skills and knowledge outcomes over time-based seat requirements. Despite growing institutional adoption, a comprehensive synthesis of CBE’s implementation frameworks, outcome evidence, and equity implications in the post-2015 context remains limited. Prior systematic reviews of CBE either predate the digital transformation era, focus on single disciplines, or examine only specific implementation dimensions. This review addresses those gaps by synthesizing the full breadth of CBE evidence published between 2015 and December 2025. Methods: This systematic review adheres to PRISMA 2020 guidelines. Four databases (Google Scholar, ERIC, Scopus, and institutional case-study repositories) were searched using four keyword clusters: “Competency-Based Education,” “Traditional Teaching and Students’ Competencies,” “Credit System and Students’ Achievement Measures,” and “Competency-Based Education and Workforce. After removing 125 duplicates and applying eligibility criteria (2015–December 2025; post-secondary focus), 73 sources were retained: 68 peer-reviewed articles and 5 accredited institutional case-study reports. A six-theme thematic synthesis was conducted following the work by Braun and Clarke; inter-rater reliability was κ = 0.79 on a 20% subsample (n = 15). Results: Six themes emerged: (1) Student-Centered Learning Philosophy, (2) Outcome-Based Assessment, (3) Flexible Pacing and Mastery Standards, (4) Implementation Frameworks, (5) Institutional Case Studies (University of Wisconsin Flexible Option, SNHU College for America, Purdue Global ExcelTrack, Northeastern Align, and Western Governors University), and (6) Challenges and Benefits of CBE. Evidence suggests that CBE is associated with improved adult-learner retention, workforce development alignment, and recognition of prior learning; however, these benefits are methodologically constrained, and equity implications remain structurally plausible but empirically unconfirmed. Resistance within institutions, misalignment with accreditation standards, and resource demands are the primary barriers to implementation. Conclusions: CBE provides a credible alternative to credit-hour systems for post-secondary institutions serving diverse learner populations, supported by a growing but methodologically constrained evidence base in which selection bias cannot be excluded as a contributing explanation for observed outcome advantages. Successful implementation requires phased institutional change, comprehensive faculty development, and proactive engagement with accrediting bodies. Future research should prioritize longitudinal outcome data, equity analyses by learner subgroup, and AI-driven adaptive assessments within CBE frameworks. Equity benefits are structurally plausible by design but remain empirically unconfirmed; no included study provides demographic subgroup data sufficient to verify equitable distribution of outcomes. Full article

This study addresses the critical challenge associated with the removal of reactive yellow dyes from aqueous media and industrial wastewater streams. Owing to their pronounced chemical stability and resistance to conventional degradation techniques, such dyes constitute a substantial environmental concern. In this context, the present work investigates the efficacy of unmodified magnetite nanoparticles (plate-like rounded structures 6–23 nm in size), synthesised under rigorously controlled conditions and well characterised, as high-performance adsorbents for the sequestration of persistent dye species exhibiting limited susceptibility to rapid degradation. The effects of key operational parameters on dye removal efficiency were systematically evaluated to establish optimal treatment conditions. Complete removal of reactive yellow dye (100%) was achieved within 30 min at low initial dye concentrations (20 mg/L) under mildly acidic conditions and continuous agitation. Adsorption equilibrium studies, interpreted using the Langmuir isotherm model, revealed a maximum adsorption capacity of 33 mg/g under optimised conditions. Thermodynamic analysis indicated that the adsorption process is spontaneous (−ΔG° ≈ 46–54 kJ/mol) and endothermic (ΔH° = 21.12 kJ/mol), accompanied by an increase in system disorder (ΔS° = 0.2 kJ/mol × K). Importantly, experiments conducted using real wastewater matrices demonstrated performance comparable to that obtained in deionised water, thereby underscoring the practical applicability of the proposed system. Furthermore, the nanoparticles retained more than 90% removal efficiency after five consecutive adsorption–desorption cycles, employing a basic eluent for dye desorption and surface regeneration. The intrinsic magnetic properties of the adsorbent additionally enable facile recovery and potential reutilisation in secondary applications, including asphalt production. Collectively, these findings highlight the considerable potential of magnetite nanoparticles as effective and reusable adsorbents for wastewater remediation and support further investigation toward pilot-scale implementation. Full article

Petrophysical parameters of rocks and ores, influenced by composition, porosity, temperature, and pressure, are generally distributed uniformly or continuously in space—relatively homogeneous within individual geological units and varying smoothly across stratigraphic transition zones and contact boundaries. Based on this geological characteristic, this paper establishes a three-dimensional (3-D) piecewise linear continuous spectral parameter model to compute forward responses of apparent spectral parameters under low-frequency current excitation. The calculation follows a two-step workflow: finite-element forward simulation of multi-frequency apparent complex resistivity, followed by recursive inversion to obtain apparent spectral parameters. The subsurface medium is discretized with hexahedral meshes, with four Cole–Cole parameters (zero-frequency resistivity, chargeability, time constant, and frequency exponent) assigned to each mesh node. Linear interpolation is adopted for complex resistivity and potential within each element, ensuring piecewise linear continuity of both physical properties and simulated fields. To improve accuracy, the total complex potential is decomposed into a primary field from the source current and a secondary field from complex conductivity variations, and the corresponding boundary value problem and variational form are derived. On this basis, we implement the finite-element algorithm for 3-D piecewise linear continuous media and the recursive inversion algorithm for spectral parameters, and develop an interactive 3-D SIP forward modeling program. Comparison with analytical solutions for a continuous layered model shows good agreement, with relative errors below 1.5% for the real part and 3.8% for the imaginary part of apparent complex resistivity. Two numerical cases—a cubic anomaly in homogeneous half-space and a sandbox model—further verify the performance of the proposed method. Full article

Additive manufacturing (AM) has emerged as a transformative manufacturing technology for producing complex components with unprecedented design flexibility. However, the widespread application of AM parts in tribological environments is often limited by inherent defects such as high surface roughness, porosity, residual stresses, anisotropy, and weak interlayer bonding, which adversely affect friction, wear resistance, and tribocorrosion performance. This review critically examines the tribological behavior of AM materials and components, emphasizing the influence of processing routes, material selection, secondary reinforcing phases, and microstructural evolution on tribological performance. Particular attention is given to surface engineering strategies, including thermal spray coatings, laser surface treatments, plasma electrolytic oxidation, vapor deposition technologies, and mechanical surface modification techniques for mitigating AM-induced defects and improving surface durability. Recent advances in machine learning (ML) and artificial intelligence (AI) for wear prediction, process optimization, and intelligent tribological monitoring are also discussed. The review highlights the relationships among manufacturing parameters, surface integrity, and wear mechanisms, while identifying key challenges associated with process variability, long-term reliability, and industrial implementation. Future research should focus on multifunctional surface systems, smart coatings, real-time condition monitoring, and data-driven design approaches to accelerate the deployment of tribologically optimized AM components in aerospace, biomedical, automotive, and energy applications. Full article

Background/Objectives: Despite the growing popularity of specialised training interventions aimed at developing motor abilities relevant to combat sports, scientific evidence regarding their effectiveness in Brazilian Jiu-Jitsu (BJJ) remains limited. This study aimed to estimate the effects of the experimental Grappler Quest (GQ) training program on the motor fitness profile of BJJ athletes and to explore whether training experience was associated with the magnitude of training-related changes. Methods: In this randomised trial, 44 competitive male BJJ athletes were allocated to an experimental group (EXP; n = 22) or a control group (CON; n = 22). Both groups followed an 8-week training protocol: the EXP group performed the structured GQ program, consisting of small circuit-based workouts, including resistance, plyometric, gymnastic, and BJJ-related exercises, whereas the CON group followed a standard BJJ training cycle. The motor profile was assessed before and after the intervention (pretest vs. posttest) using selected motor tests. The prespecified primary outcomes were strength-endurance performance in the bench press and squat performed with 50% body mass. Other motor-performance outcomes were treated as secondary or exploratory. Associations between training experience and intervention-related changes were analysed exploratorily. Results: ANCOVA of adjusted post-intervention means indicated between-group differences favouring the EXP group. Large effects were observed for the primary strength-endurance outcomes: bench press at 50% body mass (η² = 0.52) and squat at 50% body mass (η² = 0.40). Large effects were also observed for selected secondary outcomes, including pull-ups with a judogi (η² = 0.39), trunk flexibility (η² = 0.49), and maximal straddle sitting position (η² = 0.37) (all p < 0.001). After Benjamini–Hochberg false discovery rate adjustment, most between-group differences remained statistically significant, although secondary outcomes should be interpreted cautiously. In EXP, improvements were observed across multiple outcomes, including 1RM bench press (mean gain $\tilde{\mathrm{x}}$ = 5.23 kg), 1RM squat ($\tilde{\mathrm{x}}$ = 4.27 kg), pull-ups ($\tilde{\mathrm{x}}$ = 1.91 reps), judo-gi hangs (bent arms $\tilde{\mathrm{x}}$ = 3.91 s; straight arms $\tilde{\mathrm{x}}$ = 4.90 s), and flamingo balance ($\tilde{\mathrm{x}}$ = 4.59 s) (all p < 0.001). In the EXP group, exploratory correlations suggested that shorter training experience was generally associated with greater conditioning-related improvements, whereas flexibility and balance showed the opposite pattern. Conclusions: The GQ intervention package was associated with greater improvements in the motor fitness profile than standard BJJ training. The findings support the potential usefulness of structured circuit-based conditioning as an adjunct to standard BJJ practice, particularly for strength-endurance development. However, the study does not allow the isolated effect of the specific GQ exercise content to be separated from the effect of adding a structured conditioning block, and no direct conclusions can be drawn regarding injury prevention or return-to-play outcomes. Full article

In multi-coil, multi-load magnetically coupled resonant wireless power transfer (MCR–WPT) systems, the non-negligible cross-coupling among multiple resonators, including the transmitter (Tx), receiver 1 (Rx1), and receiver 2 (Rx2), introduces complex frequency-splitting behavior through the Tx–Rx1, Tx–Rx2, and Rx1–Rx2 coupling paths, severely constraining transmission efficiency and operational stability. In practical multi-receiver WPT applications, receiver-side cross-coupling is often unavoidable and may shift the maximum-power and maximum-efficiency points away from the designed resonant frequency. Clarifying this mechanism is therefore important for coil arrangement, impedance matching, and stable multi-load power delivery. This paper establishes an equivalent circuit model to derive analytical expressions for input impedance, load power, and efficiency. Based on this framework, the formation mechanism of frequency splitting under concurrent coupling paths is systematically investigated. The results indicate that dominant coupling paths dictate the positions and magnitudes of primary split peaks, while cross-coupling between receivers induces local modal reconfiguration and energy redistribution, leading to secondary or minor characteristic peaks. Both simulation and experimental results demonstrate that the coupling coefficient primarily governs the frequency-splitting trajectory, whereas load resistance predominantly modulates peak amplitudes. For $k=0.520$, the split-frequency peaks in the two-coil benchmark occur at $64.6 \mathrm{kHz}$ and $103.8 \mathrm{kHz}$, showing good agreement with the calculated modal frequencies. In the tri-coil dual-load system, pronounced power peaks around $63 \mathrm{kHz}$ and $112 \mathrm{kHz}$ further confirm the shift of the maximum-power transfer points under asymmetric coupling and loading conditions. Furthermore, under strong-coupling conditions, the maximum power transfer point shifts from the nominal resonant frequency toward the system’s inherent modal frequencies. This study elucidates the evolution of frequency splitting in tri-coil dual-load systems, providing a theoretical foundation for parameter optimization in multi-node WPT networks. Full article

Battery housings are critical structural and safety components in electric vehicles, fulfilling multiple functions related to mechanical protection, crashworthiness, thermal management, fire resistance, electromagnetic shielding, and integration of battery modules into the vehicle body. While metallic housings, particularly aluminum and steel, remain dominant in industrial applications, increasing attention is being given to composite materials as lightweight alternatives capable of improving energy efficiency and extending driving range. However, the growing use of composites in battery enclosures raises important questions regarding recyclability, end-of-life management, and compatibility with circular economy principles. This review critically examines the current state of the art in composite materials used for electric vehicle battery housings, with particular emphasis on glass- and carbon-fiber-reinforced thermoplastics, thermoset composites, sandwich structures, and hybrid multi-material systems. The paper discusses the functional requirements imposed on battery housings and analyzes how these requirements influence material selection and design strategies. Particular attention is devoted to recycling pathways applicable to composite battery enclosures, including mechanical recycling, thermal treatment, chemical recycling, and reuse-oriented approaches, as well as to the limitations associated with mixed-material assemblies, adhesives, coatings, and integrated functions. The review also addresses circular design strategies for battery housings, including design for disassembly, material traceability, modularity, and the incorporation of recycled polymers and secondary reinforcements into new housing systems. Current research gaps are identified in the integration of structural performance, fire safety, manufacturability, and recyclability within a single design framework. The analysis shows that thermoplastic composites currently offer the most promising route toward circular battery enclosures, while thermoset-based systems still face significant challenges in high-value recycling. The paper concludes by outlining future research directions required for the development of lightweight, safe and recyclable composite battery housings aligned with sustainable mobility and circular economy goals. Full article

Background/Objectives: Insulin resistance is increasingly recognized as a cause of colorectal neoplasms, but its measurement requires fasting insulin, which is not routinely available in clinical settings. The triglyceride–glucose (TyG) index, derived from fasting triglyceride and glucose, has emerged as a simple surrogate of insulin resistance. We aimed to evaluate the association of the TyG index with colorectal adenoma, identify a clinically usable cut-off, and examine whether the association is preserved across major subgroups. Methods: We conducted a cross-sectional analysis of 7251 asymptomatic adults who underwent screening colonoscopy and same-day biochemistry at university hospital health care centers in Daejeon and Chungcheong province of South Korea between November 2019 and June 2022. The TyG index was calculated as ln[fasting triglycerides (mg/dL) × fasting glucose (mg/dL)/2]. Multivariable logistic regression was used to estimate odds ratios (ORs) for adenoma; discrimination was evaluated by area under the receiver-operating-characteristic curve (AUC), and the optimal cut-off was identified by Youden’s J. Large adenoma (≥10 mm) was analyzed as a secondary outcome. Results: Among 7251 participants (mean age 54.1 ± 11.2 years; 59.7% male; mean BMI 24.7 ± 3.4 kg/m²), 2402 (33.1%) had at least one colorectal adenoma. Adenoma prevalence rose monotonically across TyG quartiles (Q) (Q1, 26.3%; Q2, 32.0%; Q3, 35.5%; Q4, 38.7%; p for trend <0.001). A 1-standard deviation (SD) increase in TyG index was associated with adenoma prevalence in the fully adjusted model (OR 1.13, 95% confidence interval (CI) 1.06–1.20), and the Q4-versus-Q1 OR was 1.29 (1.09–1.53). The optimal cut-off for adenoma was TyG index = 8.55 (AUC 0.564, sensitivity 59.1%, specificity 50.8%); the association was modestly stronger for large adenoma (AUC 0.585; adjusted OR per 1-SD 1.25, 1.09–1.43). Subgroup analyses showed consistent effects across sex, age, body mass index, hypertension, diabetes, and metabolic-syndrome strata (all p for interaction >0.17). Conclusions: In a large screening cohort, an elevated TyG index was associated with the presence of colorectal adenoma, with a graded dose–response relationship and a modestly more pronounced association for large adenoma. Although discrimination by TyG index alone is too modest to support its use as a stand-alone screening tool, the index may serve as a low-cost adjunct within a multifactorial risk-stratification framework. Full article