Florida International University

Evaluating medical Large Language Models (LLMs) for clinical decision support: real-world performance across specialties and complexity levels

Large Language Models (LLMs) show increasing promise for clinical decision support systems, yet their evaluation using real patient data across medical specialties and case complexities remains limited. Most existing studies rely on standardized medical examinations rather than a...

Well-posedness of the focusing stochastic nonlinear Schrödinger equation: $$L^2$$-critical and supercritical cases

We study the focusing $$L^2$$ -critical and supercritical stochastic nonlinear Schrödinger equation subject to additive or multiplicative noise. We investigate global or long time behavior of solutions in $$H^1$$ , which would correspond to global well-posedness in the determinis...

Larvicidal and adulticidal activities of Purpureocillium lilacinum secondary metabolites against the malaria vector Anopheles gambiae

Malaria control is increasingly threatened by widespread resistance of Anopheles mosquitoes to conventional chemical insecticides, highlighting the urgent need for novel and environmentally sustainable vector control agents. The entomopathogenic fungus Purpureocillium lilacinum (...

Biochemistry Courses in Context: A National Landscape of Undergraduate Biochemistry Instruction

Abstract Biochemistry occupies a unique position at the intersection of chemistry and biology, yet undergraduate biochemistry courses are taught within a wide variety of institutional and disciplinary contexts. Because instructors’ disciplinary preparation may influence how they...

AI Meets Analytical Chemistry: The Next Era of Food Forensics

Food fraud and adulteration continue to threaten food safety, consumer confidence and international trade. The challenges of investigating food-forensics reliably are compounded by increasingly complex supply chains, changing deceptive practices and difficulties in interpreting h...

A neural operator for predicting vibration frequency response curves from limited data

In the design of engineered components, rigorous vibration testing is essential for performance validation and identification of resonant frequencies and amplitudes encountered during operation. Performing this evaluation numerically via machine learning has great potential to ac...

Strategic inertia or rational caution? Unpacking short-term rental pricing responses to hotel ADR fluctuations

Purpose This study aims to investigate how short-term vacation rentals (STVRs) adjust their pricing strategies in response to hotel ADRs. While prior research has emphasized the disruptive effect of STVRs on hotel performance, the reverse relationship remains underexplored. The s...

Chronic diphenhydramine misuse in a patient with schizophrenia mimicking neurocognitive decline: a case report

Pharming, the misuse of prescription or over-the-counter (OTC) medications for psychoactive effects, represents an emerging public health concern that may be underrecognized. Diphenhydramine (DPH), a first-generation antihistamine, is particularly susceptible to misuse due to its...

Artificial Intelligence-Based Hypernasality Diagnosis Using CAPS-A-AM Rated Speech Samples in Pediatric Velopharyngeal Dysfunction

ObjectivePerceptual evaluation by speech-language pathologists (SLPs) is essential for initial evaluation of velopharyngeal dysfunction (VPD). Machine learning (ML) offers a promising avenue for developing accessible speech assessment tools when SLP expertise is limited. We aimed...

SPLUNC1/BPIFA1 Restrains Neutrophil-Dominant Inflammation and Coordinated Inflammatory Gene Programs During LPS-Induced Lung Injury

Acute lung injury (ALI) is characterized by alveolar-capillary barrier disruption, increased pulmonary permeability, impaired gas exchange, and inflammation. Lipopolysaccharide (LPS), a potent microbial trigger of inflammation, is widely used to model ALI. Short palate, lung, and...

Increasing Joint Attention in Children With Autism Using Contingent Social Stimuli as Reinforcers

Joint attention is a critical skill that supports the development of early communication and language. This study examines whether joint attention responses of 5-6-year-old children with ASD can be increased using social stimuli without the use of tangible stimuli. We compared th...

Inhalable Dry Powders of Antimicrobial Agents in Respiratory Diseases

Background Respiratory infections remain a major global health burden despite advances in systemic antimicrobial therapy. Antimicrobial dry powder inhalers (DPIs) have emerged as precision-engineered pulmonary delivery platforms capable of achieving high local drug concentrations...

Position Within the Burrow and Behavioral Thermoregulation Jointly Shape Thermal Lability in a Fossorial Ectotherm

ABSTRACT Burrowing is a widespread thermoregulatory strategy among ectotherms, yet the spatial and temporal scales by which burrows buffer organisms from thermal extremes remain poorly quantified. We combined high‐resolution temperature measurements from gopher tortoise ( Gopheru...

Emotional AI 's Psychological Threat to Consumers: A Framework and Research Agenda

ABSTRACT Emotional artificial intelligence (EAI) is transforming how consumers interact with digital systems by detecting, interpreting, and responding to human emotions. While these capabilities can enhance personalization and engagement, they also create underexplored psycholog...

Simplifying Orthopedic Patient Education: A ChatGPT-Based Readability Analysis

Background Health literacy plays a crucial role in patient decision-making. National guidelines from the NIH and AMA recommend that patient education materials (PEMs) be written at or below a 6th-grade reading level. Materials and Methods Four common foot and ankle conditions wer...

Toward Emotionally Intelligent AI Systems: Foundations, Challenges, and the Road Ahead

Artificial Intelligence (AI) systems are increasingly used in settings in which their outputs alter decisions, communication, and access to services. In such settings, technical accuracy does not exhaust the conditions of a satisfactory interaction, because a user's emotional sta...

Strain-specific structural variant landscapes shape mutation retention following mutagenesis in Caenorhabditis elegans

Classical mutational theories centered on single nucleotide polymorphisms suggest that outcrossing enhances the purging of deleterious mutations by promoting recombination. However, larger structural variants, such as insertions, deletions, and inversions, can suppress recombinat...

Co-mutation Based Genetic Networks to Infer Temporal Mutation Dynamics in Ancient Human Mitochondrial Genomes

The evolutionary history of Homo sapiens is marked by complex interactions between environmental, cultural, and genetic factors. To investigate the molecular signatures of these processes, we analyzed ancient mitochondrial DNA (mtDNA) across temporal and geographic contexts using...

Isolated Avulsion of the Distal Head of the Adductor Magnus: A Case Report

ABSTRACT: In the present case, we describe the first reported instance of a noncontact distal adductor magnus avulsion injury in a collegiate Division I football player. A 22-year-old male player initially presented with an acute posterolateral corner injury with partial thicknes...

Amazon Forgotten Fishes. How the remarkable diversity of freshwater fishes is critical to people, rivers and forest

Across the vast sweep of the Amazon Basin, thousands of rivers, streams and floodplain lakes flow in an immense, interconnected waterscape— home to an unparalleled diversity of freshwater fishes. More than 2,700 species have so far been recorded, with dozens more added each year...