Kaunas University of Technology

Prediction residuals in spatial transcriptomics reveal microenvironmental heterogeneity in cancer

Predictive models, as applied in computational pathology, are typically evaluated by accuracy, while their residuals are discarded as errors. In this paper we show that these residuals contain structured biological information. We introduce and validate a conditional discordance...

Altering Moisture Transport Mechanisms in Multilayer Material Systems via Open Channel Networks for Enhanced Comfort

Abstract This study examines how the composition and structural configuration of two- and three-layer polymer-based systems influence thermophysiological comfort by altering water vapor transport mechanisms. Open moisture-transport channel networks were introduced into the top la...

Improved Crystallization-Front Dynamics Reduce Buried-Interface Defects in Perovskite Solar Cells

Abstract Inverted perovskite solar cells have achieved substantial efficiency gains owing to advances in surface passivation; as a result, progress is now limited by buried defects at the perovskite/hole transport layer (HTL) interface. During top-down perovskite crystallization,...

Temporal Association Between Intrathoracic Impedance and Tachyarrhythmia Occurrence

BACKGROUND: This study examined whether daily intrathoracic impedance is temporally associated with the occurrence of atrial fibrillation (AF) and ventricular tachycardia (VT). METHODS: This retrospective cohort study included 117 patients with cardiac implantable devices, follow...

Supporting SME Growth Through Inclusion: Leading a Young Female Professional During Divorce

This teaching case explores the managerial challenges faced by a young female professional going through a divorce while working at a growing small- to medium-sized enterprise (SME). Using divorce as an example of a significant personal life event, the case illustrates how extern...

Influence of Extraction Conditions on Organic Carbon Recovery from Biogas Digestate

Abstract Intensive use of mineral fertilizers has reduced natural soil fertility and increased the demand for sustainable nutrient sources. In this study, three digestates obtained from Lithuanian biogas plants were chemically and instrumentally characterized and evaluated as pot...

Emerging Sustainability Aesthetics Archetypes for Hybrid Environments: An AI-Assisted Qualitative Analysis of Student Design Experiments

Hybrid rural–urban environments present growing challenges for architecture and design because they require ecological, cultural, and spatial values to be integrated within coherent design solutions. This study proposes a qualitative framework for identifying sustainability aesth...

Photovoltaic power forecasting: A comprehensive review and taxonomy of forecasting methods

Photovoltaic (PV) power forecasting is a foundational capability for operating power systems with high shares of variable renewable generation. However, the methodological landscape is fragmented across physical-based models, statistical time-series approaches, machine learning (...

Braving technological turbulence: generative artificial intelligence can build digital resilience in human-centric supply chains

Purpose Human-centric supply chains (HCSCs) are increasingly vital as firms face growing disruptions while balancing efficiency with workforce well-being and collaboration. This study examines how generative artificial intelligence (GenAI) influences HCSC performance under techno...

Development and characterization of p-phenylenediamine/g-C 3 N 4 -based composite polysulfone (PSF) membranes for enhanced chromium (Cr(VI)) removal from wastewater

In this study, polysulfone (PSF)-based composite membranes were synthesised through phase inversion. These membranes were then dip-coated with non-functionalized and functionalized Graphitic Carbon Nitride (g-C 3 N 4 ) to enhance Chromium (Cr(VI)) removal from a Cr(VI)-containing...

Primary Non-Adherence to Electronic Prescriptions in Lithuania, 2018–2024: Nationwide Prevalence, Factors, and Regional Variation

Background/Objectives: Primary non-adherence occurs when a prescribed medicine is never collected, preventing treatment from the beginning. Despite non-adherence being a widespread problem, most evidence comes from Western European and North American systems, and the Baltic regio...

ConvSNN: an energy-efficient hybrid convolutional-spiking neural network for wrist-worn stress and affective state recognition

Abstract Continuous stress monitoring on wrist-worn devices matters for real-time affective computing, digital health, and personalized well-being, yet it remains difficult because a wearable model must operate with few sensors, little compute, and a tight energy budget. Chest-mo...

Carbazolyl-Substituted Benzoic Anhydrides as Efficient Triplet Harvesters for High-Brightness Blue Organic Light-Emitting Diodes

Abstract A simple and efficient synthetic strategy for the preparation of carbazole-basedC2-symmetric anhydrides with donor−acceptor−donor (D−A−D) architecture is presented. Four benzoic anhydrides incorporating carbazole or 3,6-di-tert-butylcarbazole donor units, linked to the a...

A critical review of microencapsulation methods, mechanisms, and applications

Across industries, the demand for high-performance and environmentally responsible products is reshaping the design of functional materials. Microencapsulation, a technique that entrains active agents within microscopic shells, has emerged as an effective strategy to protect, sta...

Digital workflow for implant-supported restorations in the mandible including reverse scan bodies: a feasibility study

Abstract Background Completely edentulous mandibles present a challenge for accurate intraoral scanning, which can compromise the passive fit of implant-supported restorations. Reverse scan bodies may improve the accuracy of implant position transfer and support a fully digital w...

Storytelling for brand reputation protection: a strategy against fake news

Purpose This study investigates how brands can effectively respond to fake news to protect their reputation and preserve consumer trust. It compares the effects of three brand response strategies attack, rebuttal, and storytelling, and investigates whether consumer-brand identifi...