Universidad de Guadalajara

From Narrative Decisions to Assessment Evidence: A Narrative-Based Assessment Framework for Serious Games: A Pilot Feasibility Study

Assessing socially situated decision-making is challenging when assessment approaches separate observable decisions from the contexts in which they occur. This study proposes and operationalizes a seven-stage Narrative-Based Assessment (NBA) framework for eliciting and interpreti...

Effect of Thermocycling on Color Stability, Fracture Resistance, and Shear Bond Strength of CAD-on Restorations (Lithium Disilicate and Polymer-Infiltrated Ceramic Network) Fabricated on Zirconia Copings

Abstract The goal of the current in vitro investigation was to assess how artificial aging via thermocycling affected color stability, fracture resistance, and shear bond strength of CAD-on restorations made on zirconia copings veneered with polymer-infiltrated ceramic network (P...

Divergent Organism-Specific Trajectories of Multidrug Resistance Across the COVID-19 Pandemic: An Interrupted Time-Series Study in a Mexican Tertiary Hospital, 2017–Early 2026

Background/Objectives: Whether the COVID-19 pandemic uniformly increased antimicrobial resistance (AMR) is contested, and aggregate analyses may mask organism-specific patterns. The objective of the study was to characterize changes in the level and slope of monthly multidrug-res...

First-Principles Simulation of Ionizing Radiation Damage in Molecular Systems over Short Time Scales

Abstract In this work, we present an ab initio molecular simulation method designed to investigate the ultrashort time scales of radiation chemistry induced by ionizing radiation, in particular fast ions and electric pulses. The approach accounts for energy deposition at the subf...

Associations of Physical Activity, Sedentary Behavior, and Handgrip Strength with Clinical Characteristics in Women with Rheumatoid Arthritis from Western Mexico

Background: Rheumatoid arthritis (RA) is a chronic autoimmune disease that affects synovial joints and leads to functional impairment. Modifiable factors such as physical activity (PA), sedentary behavior (SB), and handgrip strength (HGS) may influence clinical and functional out...

Describing Patient Characteristics, Treatment Patterns, and Disease Burden Among Patients with Alopecia Areata in Mexico: A Secondary Analysis of the Adelphi Real World Alopecia Areata Disease Specific Programme

Alopecia areata (AA) is a common autoimmune disease characterized by nonscarring hair loss, yet real-world data on AA in Mexico are sparse. This study aimed to characterize disease burden and identify unmet treatment needs among patients with AA in Mexico. Clinical data were anal...

Overlap of Subcutaneous Adiposity Across World Health Organization Body Mass Index-for-Age Categories and Anthropometric Correlates of Handgrip Strength in Children Aged 6–12 Years Participating in Organised Club Sport in Buenos Aires, Argentina

Background/Objectives: Body mass index (BMI) is the most widely used screening tool in paediatric nutritional assessment, but it does not measure body fat directly and conveys no information on muscular development. We aimed to (i) compare the sum of six skinfolds (Σ6ST) across W...

Association between salivary alkaline phosphatase levels and periodontal disease: a systematic review and meta-analysis

This updated meta-analysis evaluated salivary alkaline phosphatase (ALP) levels in individuals with gingivitis and periodontitis compared to periodontally healthy individuals. The review followed PRISMA guidelines and was registered in PROSPERO (CRD420251273461). Searches were co...

Evolutionary Optimization of Extended Kalman Filter Hyperparameters for Adaptive Data-Driven ABP Prediction Framework Inspired by Cardiovascular Digital-Twin Principles

Continuous arterial blood pressure (ABP) prediction is relevant to cardiovascular monitoring and development of adaptive patient-specific digital twins. This study presents an adaptive data-driven ABP prediction framework inspired by cardiovascular digital-twin principles for cau...

Expanding the Clinical and Molecular Spectrum of Cartilage-Hair Hypoplasia in the Mexican Population

Cartilage-hair hypoplasia (CHH) is a rare autosomal recessive skeletal dysplasia caused by variants in RMRP (RNA component of mitochondrial RNA processing endoribonuclease), which encodes a non-coding RNA. Despite its well-established clinical and molecular spectrum in some popul...

Stress Distribution Pattern in Implant-Assisted Removable Partial Denture (IARPD): A 3D Finite Element Analysis

Abstract Removable partial dentures (RPDs) held in place by clasps have become a favored option for treating patients with partial tooth loss. However, these dentures have their drawbacks, including the issue of frequent displacement, which can lead to patient dissatisfaction and...

Block method: Reference-anchored peak fitting for tracking subtle chemical evolution in sequential XPS spectra

The Block Method is a refinement of spectral subtraction developed for the analysis of complex x-ray photoelectron spectroscopy data. In this method, the fitted spectrum of a reference sample is converted into a structured spectral block and used as an additional component during...

Two Transcriptomic Analyses Converge on a Five-Gene Core for Colorectal Cancer Discrimination: External Validation in Independent Tissue Cohorts

Background/Objectives: Colorectal cancer (CRC) is a leading cause of neoplasia-related morbidity and mortality worldwide and the first cause of cancer death in Mexico, where early detection remains a challenge, and reliable molecular biomarkers could support earlier diagnosis. Tr...

Stochastic Analysis and Stability of Diabetic Population Dynamics

Modeling diabetic illness with random perturbations is the goal of this work. The proposed model consists of three classes: the pre-diabetic population, the diabetic population with complications, and the diabetic population without complications. We examined the suggested proble...

Size Classification for Software Maintenance Projects Through a Simplified Minimalist Machine Learning Algorithm

In the software engineering field, the size of projects is used as explanatory variable for predicting the effort, duration, defects, costs, or risks of a project. Thus, the software project size has been considered the most influential factor. A systematic mapping study on the u...

Molecular Detection and Phylogenetic Characterization of CPV-2c in Apparently Healthy Domestic Cats in the Guadalajara Metropolitan Area, Mexico

Carnivore protoparvovirus 1 variants (CPV-2a, CPV-2b, CPV-2c) have progressively expanded their host range to domestic cats (Felis catus), causing subclinical infection or panleukopenia-like disease. CPV-2c dominates among dogs in Western Mexico, but its presence in the local fel...

Experimental Detection of ∆x Variations on the Complex s-Plane Based on a Michelson Interferometer

In this paper, a Michelson interferometer was employed to generate interference patterns, the modulated function was extracted by digital filtering and the Laplace transform was subsequently applied to obtain the complex function F(s)=F(σ+ωi), which changes its zero structure in...

Modulation of Electrical Charge Transfer in Cornstarch-Based Films Through Carbonized Polymer Dots and Their Validation as Electrodes in Triboelectric Nanogenerators

In this study, electrically conductive cornstarch-based films are developed by incorporating carbonized polymer dots (CPDs), and their charge-transfer capability is evaluated through their electrical characterization and their validation as electrodes in a triboelectric nanogener...

Dynamic salience as a basis for behavioural meta-malleability

Abstract Salience, the degree to which cues capture attention, is not fixed but updated through experience. Learning which cues anticipate meaningful outcomes requires cue–outcome relationships to be perceptible to begin with, rendering salience a gate for behavioural change. Bec...

Adaptive Neural PID Outer-Loop Control for Quadcopter UAVs with Asymmetric Saturation

This paper presents an adaptive outer-loop neural PID control scheme with asymmetric saturation and clamping anti-windup for a quadcopter drone, using online training based on the Extended Kalman Filter. This proposal mitigates the effects of actuator saturation and maintains ope...