Research works

Simulated Realities: Scorsese, the Modern Media Machine, and the Illusion Industry

This article examines the epistemological crisis of the digital epoch, arguing that the modern media apparatus controls society not by suppressing truth, but by mass-producing hyper-personalized algorithmic illusions. Utilizing Martin Scorsese’s Shutter Island (2010) as a primary...

Stakeholder relationship challenges and prospects in talent management: the case of the Jamaican business process outsourcing industry

Purpose While talent management (TM) is widely considered a driver of competitive advantage, emphasis on tangible outcomes often ignores the unintended consequences for stakeholder relationships. Drawing on psychological contract (PC) theory, this article explores how TM practice...

It Is About Young People: How Poverty, Demographic Structure, Cultural Participation, Creative Labour and Digital Engagement Shaped the Recovery of London’s Performing Arts Institutions Following the COVID-19 Pandemic

Drawing on borough-level socio-economic and demographic data matched with organizational financial records, we analyse the moderating role of average age in the relationship between local poverty and the performance of performing arts institutions following the COVID-19 pandemic....

The Serious Business of Political Humor

When one starts opining on political communication, hearers may anticipate a dry discourse about other dry discourses. Perhaps there’s a logic to this, because politics involves very serious matter...

Compression Deformation Characteristics of Frozen Soil Containing Ice Lenses Under an Asymmetric Temperature Field

Frozen soil on alpine slopes is influenced by inclination and aspect-induced differential solar radiation effects, resulting in non-uniform temperature fields and inclined layered ice lenses that enhance anisotropy and degrade mechanical properties. This study investigates the de...

Subspace Langevin Monte Carlo

Abstract. Sampling from high-dimensional distributions has wide applications in data science and machine learning but poses significant computational challenges. We introduce subspace Langevin Monte Carlo (SLMC), a novel and efficient sampling method that generalizes random-coord...

Reasonable Exceptions From Unreasonable Policies: Requiring Treatment Agreements for Long‐Term Opioid Therapy and Exemptions for Cancer and Terminal Illness

Since drug overdose deaths began increasing in the United States, policy makers and the medical community have developed tools to try to address the crisis. Opioid Treatment Agreements (OTAs) are one such tool which purportedly seek to promote shared decision-making and informed...

Beyond Immediate Responses: A Systems Map of Community Factors Underlying Persistent Gun Violence in New Haven

Abstract Gun violence is a pervasive and multifaceted public health problem. This study describes a novel application of group model building—a process that centers stakeholder voices to describe a complex problem—to investigate drivers of gun violence and design community-led in...

Knowledge Transfer-Based Heterogeneous Distillation Network for Remaining Useful Life Prediction Under Cross-Working Conditions

Remaining useful life (RUL) estimation is a fundamental task in Prognostics and Health Management (PHM), supporting condition-based and predictive maintenance of engineering systems. Data-driven methods contribute to many effective strategies for RUL prediction. However, two prob...

ARTICLE 2. MEMORY THEORY: THE PHYSICS OF WATER MOLECULES

According to the Non-Information Theory of Life (NJT), living systems are described as supramolecular ensembles capable of maintaining their identity in the flow of matter and energy. The key mechanism for preserving identity is physical memory – the ability of the system to reco...

The prevalence of concomitant anatomical variations of atlas vertebrae in a south african skeletal collection

Anatomical variations of atlas vertebrae (C1) are common, yet the prevalence of coexistence of multiple variants remains underreported. This study investigated the prevalence, patterns, and demographic associations of atlas variations in a South African skeletal repository. A qua...

Unlocking air cargo demand: A novel predictive model selection framework based on data characteristics

Air cargo transportation plays a key role in global trade, especially for time-sensitive and high-value products. Accurate prediction of air cargo demand is essential for informed decision-making on infrastructure planning, capacity management, and resource allocation across the...

The Tyrolean Founder MLH1 Variant c.836T>G Causes Lynch Syndrome Due to a Leaky Splice Effect

The identification of a pathogenic variant (PV) in one of the mismatch repair (MMR) genes confirms the diagnosis of Lynch syndrome (LS). Hence, the correct classification of MMR gene variants is of utmost importance for appropriate counselling, surveillance, and treatment of LS p...

Energy Crop Cultivation of Miscanthus × giganteus on Biochar‐Amended Marginal Soils With Conventional and Waste‐Derived Fertilization: Biomass Allocation and Nutrient Dynamics Toward Closing Nutrient Loops

ABSTRACT Sustainable production of lignocellulosic biomass on marginal lands requires strategies that enhance yield while minimizing nutrient losses and supporting circular resource use. In this study, a two‐year (2023–2024) greenhouse meso‐scale experiment was conducted using Mi...

Not all charisma is created equal: socialized vs personalized charismatic leadership and subordinates' career growth

Purpose This study aims to examine how socialized and personalized charismatic leadership differentially shape subordinates' career growth opportunities (CGO), providing new insights into leadership's role in career development. Design/methodology/approach We collected three-wave...

Characterization and functional evaluation of a fiber-optic instrumented impedance-controlled upper-limb exoskeleton

The use of active exoskeletons for musculoskeletal disorder (MSD) prevention is increasing in industrial environments. Wearable sensing technologies enable closed-loop control of these devices. However, magnetic disturbances and sensor fixation issues can compromise measurement r...

Stabilizer ModulatedArea-Selective Growth of VerticallyAligned Carbon Nanotube Forests toward Thermal Interface Materials

Abstract Area-selective growth of vertically aligned carbon nanotube (VA-CNT) forests is critical for constructing spatially controlled thermal transport pathways in thermal interface materials. This capability is particularly important for thermal management scenarios involving...

DIGITAL FORENSIC RECOVERY OF DAMAGED MOBILE DEVICES USING A NON-INVASIVE PRACTITIONER-DRIVEN FRAMEWORK

Mobile devices have become primary sources of digital evidence in modern investigations. Yet forensic data recovery becomes challenging when devices suffer physical damage, motherboard faults, or power-related failures. Conventional logical and software-based extraction technique...

Reinforcement Learning in Eating Disorders: Clinical, Cognitive, and Metabolic Correlates

OBJECTIVE: Reinforcement learning has been implicated in eating disorders, but findings remain inconsistent. This study compared reinforcement learning performance in anorexia nervosa (AN), bulimia nervosa (BN), and healthy controls (HC) using the Probabilistic Reward Task (PRT),...

Latent profile analysis of social alienation and its influencing factors in patients undergoing maintenance hemodialysis

Social alienation severely impairs the mental health and quality of life of patients undergoing maintenance hemodialysis (MHD). However, most studies conducted have been variable-centered, group-level analyses, which cannot capture inherent heterogeneity in social alienation, hin...