University of Alabama

Cognitive Cultural Domains as Common Understandings: A Research Protocol

Common Understanding (CU) is the shared awareness that a cultural domain exists as a category that labels some phenomenon of interest in the world within a particular social group, and this domain is described by a set of terms that set certain boundaries around it. This article...

Social Performance Feedback and Managerial Moral Self-Regulation: The Microfoundations of Corporate Social (Ir)Responsibility

Despite growing interest in the microfoundations of corporate social activities, prior research has not articulated the full chain connecting firm-level conditions to managers' psychological processes (a topdown pathway) and back to firm-level corporate social behavior (a bottom-...

The Star Formation History and Evolution of the Ultra-Diffuse M81 Satellite F8D1

Abstract We present deep Hubble Space Telescope (HST) imaging of one of the nearest ultra-diffuse galaxies (UDGs) outside of the Local Group: F8D1, a satellite of M81 known to be tidally disrupting. UDGs are an enigmatic and diverse population, with evolutionary pathways ranging...

Challenges and opportunities of generative artificial intelligence models in audio/acoustic domain: a comprehensive survey

Abstract Generative artificial intelligence (AI) has transformed image and text processing, but its adoption in the audio/acoustic domain remains underexplored due to inherent challenges in modeling long-term temporal dependencies in one-dimensional signals and achieving human-pe...

The distribution and origin of Mercury’s crustal magnetization

Mercury is the only planet other than Earth to possess both a global magnetic field that arises from a core dynamo, and a crustal magnetic field that arises from magnetized rocks. Crustal fields provide unique records of a planet’s interior state and evolution because magnetizati...

Hydrologic model parameter estimation in snow-dominated headwater catchments using multiple observation datasets

Abstract. Hydrologic models are often calibrated using streamflow alone, but increasing availability of in situ and satellite-based observations provide numerous opportunities to constrain model outputs and improve process representation. However, as new observation data emerges,...

Changes in road crash characteristics among older drivers in Alabama pre during and post covid 19 pandemic

The COVID-19 pandemic substantially altered travel demand, traffic volumes and driving conditions, yet its implications for older drivers’ crash characteristics across different pandemic phases remain insufficiently understood. This study examines changes in crash involvement pat...

Pitfalls of announcing regulatory policy in medical journals

<b>Sean Tu</b> and <b>Aaron Kesselheim</b> argue that sidestepping established administrative processes to announce major regulatory policies undermines transparency, public participation and trust, and regulatory legitimacy

Using the Interpersonal Theory of Suicide to Inform Our Understanding of Suicide Risk in Autism Spectrum Disorder: A Scoping Review

Abstract This scoping review is the first to systematically map the literature on suicidality in autistic adults through the lens of Joiner’s Interpersonal Theory of Suicide (ITS). Reviewing 51 studies and distinguishing between those directly assessing ITS constructs and those c...

A Systematic Review of Cybercrime in Hybrid Cyber–Physical Space

Abstract Cybercrime increasingly extends beyond purely digital environments into hybrid cyber-physical spaces, creating new risks for urban infrastructure, mobility systems, and everyday socioeconomic activities. While criminology has long emphasized the importance of place in sh...

Senescent peripheral fibroblasts initiate chemotherapy-induced peripheral neuropathy

All raw data files to support manuscript.

BenchmarkingUniversal Machine-Learning InteratomicPotentials for Accelerated Adsorption Energy Evaluation with DFT Single-PointCalculations

Abstract Adsorption-energy calculations are essential for understanding molecule–surface interactions, but full DFT optimization remains too expensive for high-throughput screening. Here, we use a DFT single-point workflow as a platform to benchmark universal machine-learning int...