Research works

Losing Control: Why Absence of Controlling Influences Should be Replaced by Absence of Alienating Influences as a Criterion for Autonomous Action in Bioethics

ABSTRACT According to Faden and Beauchamp's influential model, an action is autonomous when it is done intentionally with understanding and in the absence of controlling influences. Recent debates concerning nudges have shown, however, that this last condition gives limited ethic...

Role of crystal chemistry in twinning-based superelasticity in rare-earth orthophosphate ceramics

Materials that dampen vibrations while maintaining mechanical integrity are essential for enhancing the performance and lifetime of engineering components. Recently, some monazite rare earth orthophosphates (REPO4s) have been shown to dissipate mechanical energy superelastically...

Exothermic behavior and microstructure control of porous Ni-Al compounds synthesized by ultrafast self-exothermic reaction

Porous Ni-Al compounds exhibiting distinct reaction behaviors and pore structure characteristics were fabricated via an instantaneous and synchronous self-exothermic reaction. As the heating rate increased from 2 to 20 °C/min, the porosity decreased significantly from 62.8% to 29...

AI as Market Infrastructure: How Misinformation and Automation Inequality Shape Democratic Performance and Economic Wellbeing

Artificial intelligence (AI) is transforming the market-organizing infrastructures that coordinate exchange, reshaping consumer information environments and the allocation of economic value. Drawing on marketing systems theory and consumer emancipation scholarship, we theorize pe...

Machine Learning Empowers Enzyme Discovery, Structure Prediction, Engineering, and Design

Abstract Enzymes are efficient and selective biocatalysts, yet obtaining enzymes with desired properties remains challenging due to vast sequence spaces, incomplete functional annotation, limited structural information, and costly experimental screening. Machine learning (ML) off...

Automated quantification of spinal axis distortion for behavioral assessment after spinal cord injury in mice

Spinal cord injury (SCI) causes persistent locomotor deficits that are commonly evaluated in mouse SCI models using observational scoring systems such as the Basso Mouse Scale, which primarily assesses hindlimb function. Here, we established an automated behavioral analysis pipel...

Physical viability of the massive pulsar PSR J0952–0607 within a polytropic framework

We develop a relativistic model for one of the most massive pulsars, PSR J0952-0607, by constructing exact solutions of Einstein’s field equations (EFEs) within the framework of the generalized Tolman–Kuchowicz (GTK) spacetime. The stellar interior is modeled as anisotropic matte...

Music perception and short-term choral performance quality among university music students: a repeated-measures observational study

Perception of musical meaning, emotional character, rhythm, intonation, and expressive structure may contribute to choral interpretation, but their associations with short-term performance quality are difficult to separate from repertoire familiarity, language, musical difficulty...

Methods matter: cultivating community, centering creativity, & doing methodological justice as a praxis

Methods Matter unpacks our imperatives toward methodological justice as a praxis. In this special issue, we attempt to create and engage equitable methodological approaches within educational resea...

Description of a new species of Ixodes Latreille, 1795 (Acari: Ixodidae) parasitizing small mammals in the Andean Chocó Biosphere Reserve of Ecuador

Ixodes is the most diverse genus of hard ticks worldwide, with nearly 62 species recorded in the Neotropical region, including nine in Ecuador. However, the diversity of this genus in the Ecuadorian Andean Chocó remains poorly understood. In this study, we describe a new species...

Coordinated planning and operation of SST-based DC data centers with tiered workload flexibility

The rapid growth of artificial intelligence (AI) workloads is making modern data centers increasingly energy-intensive and reliability-critical. This trend not only raises electricity expenditure but also amplifies the economic impact of power interruptions, motivating coordinate...

EnerMorph-net: energy state morphing hyper network for self-optimizing IoT-driven electric vehicle systems

Abstract Aim An adaptive deep learning architecture, termed EnerMorph-Net, is proposed to overcome the limitations of conventional models in Internet of Things (IoT)-enabled electric vehicle transportation systems. The framework captures dynamic energy state variations influenced...

A Descriptive Observational Study of Real-Time TDM-Guided Aggressive PK/PD Target Attainment and Microbiological/Clinical Outcome in Patients with Stenotrophomonas maltophilia Bloodstream Infections and/or Pneumonia Treated with Continuous Infusion Cefiderocol

Objectives: To assess whether attaining an aggressive pharmacokinetic/pharmacodynamic (PK/PD) target with continuous infusion (CI) cefiderocol could be an effective strategy for managing documented bloodstream infections (BSIs) and pneumonia caused by Stenotrophomonas maltophilia...

Working with goals in youth mental health and substance use service: A review of current practice guidelines and recommendations

Abstract Background Working with goals is a critical yet often overlooked aspect of youth mental health and addictions care, with the potential to strengthen therapeutic relationships, support shared decision‐making, and improve outcomes. Despite its importance, there is no cohes...

Compression and extension behaviour of three-dimensionally printed metastructure–sand composites under triaxial loading

A three-dimensionally printed metastructure featuring a re-entrant honeycomb topology with negative Poisson’s ratio (NPR) effect is introduced in this study for material reinforcement. To systematically decouple the effects of structural topology and constituent material stiffnes...

Modeling L2 writing processes beyond pause thresholds: A window-level hidden Markov approach to keystroke-logging data

Keystroke logging has made second language (L2) writing visible as a sequence of pauses, production, cursor movement, and editing, yet much evidence is still analyzed through fixed pause cut-offs or isolated process measures. This study examined whether a window-level hidden Mark...

GalSpecCNN: Deep Learning Estimates of Fiber Stellar Mass and Specific Star Formation Rate with Uncertainty for LAMOST Galaxies

We present GalSpecCNN, a probabilistic deep-learning framework for estimating fiber-scale stellar mass (M*) and specific star formation rate (sSFR) from LAMOST galaxy spectra. The model uses a one-dimensional convolutional neural network to extract spectral features, followed by...

Estimation of Yield and Its Components in White Lupin Lines Under Favorable and Dry (Low-Rainfall) Field Conditions

The present study emphasizes the importance of developing breeding lines that combine productivity with stability under variable environmental conditions. Seed yield and its main quantitative components in 15 white lupin lines were analyzed over two years under favorable and dry...

Herbivore-specific plant defense responses to a pre-attack risk cue

Cues of potential herbivory, such as the locomotion mucus from gastropod herbivores, may influence germination and growth. Because it remains unclear whether use of gastropod cues to initiate defense is a widespread phenomenon in plants, we examined how mucus from multiple gastro...

Solvation structure and dynamics of choline chloride-based deep eutectic solvents with isomeric butanediol hydrogen bond donors

Choline chloride-based deep eutectic solvents (DESs) are being investigated as redox flow battery electrolytes, where solvent viscosity plays a central role in governing ionic mobility, mass transport, and pumping efficiency. In this combined experimental and computational study,...