Sep 2026· Journal of Clinical and Diagnostic Research· 0 citations
TL;DR
The CBCT imaging of the maxillary and sphenoidal sinuses provides valuable morphometric data that can aid in forensic identification, and demonstrate measurable differences across age and gender, supporting their utility as supplementary tools in forensic profiling.
Abstract
Introduction: Age and gender estimation are fundamental in forensic identification, especially in crime investigation, cases of mass disasters and unidentified body remains. Paranasal sinuses, especially maxillary and sphenoidal, are unique, durable, and sexually dimorphic and well-protected within skull, resistant to trauma and decomposition. Cone Beam Computed Tomography (CBCT) enables precise Three-dimensional (3D) morphometric analysis of these anatomical structures, making them valuable markers for forensic age and gender determination.
Aim: To evaluate the morphological (volumetric) characteristics of the maxillary and sphenoidal sinuses using CBCT to assess their potential in forensic age and gender estimation.
Materials and Methods: The present Institutional-based retrospective study was conducted between September 2025 to November 2025 on CBCT archives from Department of Oral Medicine and Radiology, K M Shah Dental College and Hospital, Sumandeep Vidyapeeth (Deemed to be University), Vadodara, Gujarat, India. CBCT Digital Imaging and Communications in Medicine (DICOM) files of maxilla/both arches covering maxillary and sphenoidal sinus was selected for analysis. Total CBCT scans of 142 individuals aged 21-75 years were analysed and volumetric measurements of bilateral maxillary and sphenoidal sinus were recorded by semi-automatic segmentation method using 3D Slicer software and statistically analysed to determine correlations with age and gender. Inclusion and exclusion criteria were strictly applied to ensure sample consistency. For statistical analysis Chi-square test, Mann-Whitney, KruskalWallis tests and Logistic regression analysis were done, p-values less than 0.05 were regarded as statistically significant.
Results: Significant variations in sinus dimensions were observed between different genders and age groups. The median volumes of the maxillary sinus (males: 13,574.75 mm³; females: 11,210.30 mm³) and the sphenoidal sinus (males: 4,918.71 mm³; females: 4,017.23 mm³) were significantly greater in males than in females, with p-values of 0.023 and 0.02, respectively. Correlation analysis revealed a statistically significant (p-value <0.05) negative association between age and sinus volume, with advancing age linked to reduced volumes in the bilateral maxillary sinuses and the right sphenoidal sinus.
Conclusion: The CBCT imaging of the maxillary and sphenoidal sinuses provides valuable morphometric data that can aid in forensic identification. These anatomical structures demonstrate measurable differences across age and gender, supporting their utility as supplementary tools in forensic profiling.
LLMs are increasingly used for code generation, yet they frequently hallucinate non-existent software packages, creating exploitable entry points into the software supply chain. We make four contributions to this problem. First, we show that prior evaluation methodologies systematically inflate hallucination rates by misclassifying standard-library modules as hallucinations in some languages. For Python, the overestimation reaches 9.4 percentage points. Second, we evaluate seven inference-time defenses for mitigating package hallucinations, including five guided decoding strategies (Greedy, Contrastive, DoLa, Nudging, and Active Layer-Contrastive Decoding), an iterative self-refinement approach (Self-Refine), and a Retrieval-Augmented Generation (RAG)-based defense.. Across eight models spanning five families and four programming languages (Python, JavaScript, Ruby, Rust), RAG reduces the package hallucination rate (PHR) in 18 of 32 model--language configurations. Third, we introduce Package Utility (PU) to assess whether defenses preserve valid and task-relevant recommendations. Among strategies evaluated, Greedy decoding provides the strongest average mitigation--utility trade-off. Fourth, we stress-test all strategies under adversarial prompts seeded with fabricated package names and find that PHR surges by up to 45 percentage points relative to standard prompts, with Ruby consistently the most vulnerable language (80.9--95.2\%). Under adversarial conditions, RAG and Self-Refine outperform all decoding-only strategies, indicating that robust defense requires either external grounding or iterative self-verification when prompts are actively hostile. Our results recast package hallucination as both a measurement problem and a decoding-time control problem, and they demonstrate that the choice of defense must be matched to the threat model and recommendation utility.
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An audit-and-placebo protocol is proposed that separates verifier artifacts, interaction scaffolding, and grounded feedback credit in evaluations of self-evolving test generators in evaluations of self-evolving test generators.
Yunhao Liang, Chengguang Gan, Ruixuan Ying et al.· 0 citations
To address the problems of low bale-forming rate and loose compaction during the mechanized recovery of
residual plastic film in farmland, a three-stage residual film baling device was developed. Based on the discrete
element method (DEM), a flexible thin-shell model of the residual film was established, and dynamic simulation
and parameter optimization of the baling process were carried out using Rocky DEM software. Combined with
single-factor experiments and response surface methodology, the effects of baling chamber inclination angle,
belt type, belt linear speed, and upper belt inclination angle on bale integrity and compaction were analyzed.
The results showed that the bale-forming rate of the three-stage device reached 99.13%, and the bale density
reached 83.75 kg/m³ under the optimal conditions: baling chamber inclination angle of 30°, upper belt
inclination angle of 30°, belt linear speed of 2.3 m/s, and the use of a rough-surface belt. Field validation tests
showed that the average density of the residual film bales was 91.4 kg/m³, with a prediction error of only 2.23
kg/m³ compared with the simulation results. The device operated stably and reliably. This study presents a
high-efficiency residual film baling device with improved bale-forming rate and compaction performance
through structural optimization and parameter tuning, providing technical support for efficient recovery and
pollution control of residual plastic film in farmland.
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A diagnostic support system based on a unified web platform that classifies patients according to the risks of developing three diseases based on regularly collected clinical or audio data using classical supervised learning algorithms is presented.
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