Reimagining Qualitative Literature Reviewing Through Collaborative Feedback Poetry

This think piece contributes to qualitative inquiry and higher education by introducing collaborative feedback poetry as a theoretically and pedagogically grounded approach to literature reviewing. Co-authored by an education professor and a graduate student, this article explores how composing poetry in response to academic texts—specifically poetic inquiries by professors and graduate students—enriched their learning and fostered mutual understanding, intercultural exchange, and creative academic engagement. By shifting from summary and critique to affective, polyvocal engagement, this approach extends comprehension and connection with complex personal and social issues such as identity, exclusion, and belonging. The authors position collaborative feedback poetry as a developmental and educational tool that promotes epistemological diversity and subjective knowing as vital to vigorous qualitative research. Their conclusions suggest that integrating poetry can reshape how literature is read, interpreted, and taught—inviting researchers, educators, and students to experience emotionally resonant, polyvocal, and imaginative academic knowledge and practices

Pattern formation on an ice surface

A linear stability model based on a phase-field method is established to study the formation of ripples on the ice surface. The pattern on horizontal ice surfaces, e.g. glaciers and frozen lakes, is found to be originating from a gravity-driven instability by studying ice–water–air flows with a range of water and ice thicknesses. Contrary to gravity, surface tension and viscosity act to suppress the instability. The results demonstrate that a larger value of either water thickness or ice thickness corresponds to a longer dominant wavelength of the pattern, and a favourable wavelength of 90 mm is predicted, in agreement with observations from nature. Furthermore, the profiles of the most unstable perturbations are found to be with two peaks at the ice–water and water–air interfaces whose ratio decreases exponentially with the water thickness and wavenumber

Study on molecular orientation and stratification in RNA-lipid nanoparticles by cryogenic orbitrap secondary ion mass spectrometry

Lipid nanoparticle RNA (LNP-RNA) formulations are used for the delivery of vaccines and other therapies. RNA molecules are encapsulated within their interior through electrostatic interactions with positively charged lipids. The identity of the lipids that present at their surface play a role in how they interact with and are perceived by the body and their resultant potency. Here, we use a model formulation to develop cryogenic sample preparation for molecular depth profiling Orbitrap secondary ion mass spectrometry (Cryo-OrbiSIMS) preceded by morphological characterisation using cryogenic transmission electron microscopy (Cryo-TEM). It is found that the depth distribution of individual lipid components is revealed relative to the surface and the RNA cargo defining the core. A preferential lipid orientation can be determined for the 1,2-Dimyristoyl-glycero-3-methox-polyethylene glycol 2000 (DMG-PEG2k) molecule, by comparing the profiles of PEG to DMG fragments. PEG fragments are found immediately during analysis of the LNP surface, while the DMG fragments are deeper, coincident with RNA ions located in the core, in agreement with established models of LNPs. This laboratory-based de novo analysis technique requires no labelling, providing advantages over large facility neutron scattering characterisation

Influence of Magnetic Anisotropy on the Ground State of [CH3NH3]Fe(HCOO)3: Insights into the Improper Modulated Magnetic Structure

T h e h y b r i d p e r o v s k i t e s [ C H 3 N H 3 ] -CoxNix−1(HCOO)3 with x = 0, 0.25, 0.5, 0.75, and 1.0 possess multiple phase transitions, including incommensurate structures. Notably, [CH3NH3]Ni(HCOO)3 features a proper magnetically incommensurate structure ground state. To explore similar behavior, we investigated the isomorphous [CH3NH3]Fe-(HCOO)3 (1). A combination of magnetometry measurements, single crystal and powder neutron diffraction, and density functional theory calculations have been used to accurately determine and understand the sequence of nuclear and magnetic phases present in compound 1. At room temperature, it crystallizes in the Pnma space group with a perovskite structure. Below 170 K,new satellite reflections indicate a transition to a modulated structure, refined in the Pnma(00γ)0s0 with q1 = 0.1662(2)c*. At 75 K, the satellite reflections become closer to the main reflections, indicating a second transition, which maintains the superspace group symmetry but decreases the modulation wave vector to q2 =0.1425(2)c*, i.e., with a longer modulation period. This modulation persists to 2 K, overlapping with the onset of 3D antiferromagnetic order at 17 K, offering a unique opportunity to study magneto-structural coupling. Our results point to animproper magnetic modulated structure where, interestingly, the spins are perpendicular to those of previously reported compounds

Additive manufacturing of functionalised atomic vapour cells for next-generation quantum technologies

Atomic vapour cells are an indispensable tool for quantum technologies (QT), but potential improvements are limited by the capacities of conventional manufacturing techniques. Using an additive manufacturing (AM) technique—vat polymerisation by digital light processing—we demonstrate, for the first time, a 3D-printed glass vapour cell. The exploitation of AM capacities allows intricate internal architectures, overprinting of 2D optoelectronical materials to create integrated sensors and surface functionalisation, while also showing the ability to tailor the optical properties of the AM glass by in-situ growth of gold nanoparticles. The produced cells achieve ultra-high vacuum of 2 × 10−9 mbar and enable Doppler-free spectroscopy; we demonstrate laser frequency stabilisation as a QT application. These results highlight the transformative role that AM can play for QT in enabling compact, optimised and integrated multi-material components and devices

On the Synchronous Reference Frame Impedance and Stability Characteristics of More Electric Aircraft Electrical Power Distribution Systems

In modern aviation electrical power distribution system (EPDS), power electronics converters (PECs) are gaining more prominence, providing a fully-controlled interface between different electrical equipment. In the context of utility ac electrical power systems, impedance-based stability analysis under Synchronous Reference Frame (SRF) has been established as a powerful tool to evaluate system stability and optimize system design. However, the SRF impedance characteristics of different kinds of PECs under high/variable fundamental frequency have not been addressed sufficiently. In this paper, an aircraft ground powering system consisting of an electrical ground power unit (eGPU) and an active front-end converter is selected as an illustrative example to give a comprehensive analysis of the impedance characteristics of such system. A comparison is made between the impedance measurement results of the hardware-in-the-loop setup and a lab-scale (0.1 p. u.) experimental setup, as well as the analytical model. On this basis, the stability of the EPDS is investigated by frequency domain analysis and experiment with variable fundamental frequency. The results highlight that variable fundamental frequency significantly reshapes the SRF impedance characteristics of PECs, influencing the system stability margin. The procedure of stability assessment presented in this work provides a future reference for designing PEC-dominated EPDS with variable fundamental frequency

Technological disruption and patent activities: adoption of robots by Chinese manufacturing firms

Using a panel of manufacturing firms in China for the period 2006 to 2015, this study investigates how the adoption of industrial robots, as a technological disruption, affects firm patent activities through intra-industry interactions (robot adoption by peer firms in the same industry) and inter-industry input–output linkages (robot adoption by upstream suppliers or downstream customers). We also test how these impacts are shaped by firms' absorptive capacity and external intellectual property right (IPR) protection. Our findings suggest that downstream robot adoption significantly drives firms' patent activities, whereas the impacts of robot adoption by peer firms and upstream suppliers are not statistically significant. Furthermore, the impact of robot adoption by downstream customers is magnified when firms have greater absorptive capacities and benefit from stronger IPR protection. We also exploit a policy change in 2012 related to high-end intelligent equipment manufacturing as a quasi-natural experiment to identify the effects of robot adoption as a form of technological disruption through different channels. Our study contributes to the literature on how technological disruption and associated uncertainties in the intra- and inter-industry linkages affect firms' patent activities

Smarter Pregnancy Coaching and Maternal Blood Pressure

IntroductionMaternal lifestyle behaviors can affect blood pressure with consequences for maternal and offspring health. The aim of this study was to investigate the effectiveness of the Smarter Pregnancy digital lifestyle coaching program on maternal blood pressure during the first trimester.MethodsThe study was conducted on data of the Rotterdam Periconception Cohort from 2010 to 2019, and analysis was completed in 2024. The intervention group included 132 pregnant women using Smarter Pregnancy for 6–24 weeks within 30 months before the study entry. The control group included 1,091 pregnant women who did not use Smarter Pregnancy. Outcomes included changes in systolic, diastolic, and mean arterial blood pressures between baseline and first trimester. Lifestyle behaviors were tracked in the intervention group at 12 and 24 weeks of the program, using lifestyle risk score for vegetables, fruits, smoking, and alcohol.ResultsUsing multivariable analysis, the intervention group showed reductions in systolic (βadj= −2.34 mmHg, 95% CI= −4.67, −0.01), diastolic (βadj= −2.00 mmHg, 95% CI= −3.57, −0.45), and mean arterial (βadj= −2.22 mmHg, 95% CI= −3.81, −0.52) blood pressures compared with the control group. When stratifying for conception mode, reductions were observed in diastolic (βadj= −2.38, 95% CI= −4.20, −0.56) and mean arterial (βadj= −2.63, 95% CI= −4.61, −0.56) blood pressures only in women who underwent assisted reproduction (n=91). Smarter Pregnancy use was associated with a reduction in lifestyle risk score, indicating improved lifestyle behaviors, after 12 (β= −0.84, 95% CI= −1.19, −0.49) and 24 (β= −1.07, 95% CI= −1.44, −0.69) weeks. The lifestyle risk score was also significantly reduced in assisted reproduction and natural pregnancy subgroups.ConclusionsThe use of Smarter Pregnancy is associated with consistent but small reductions in maternal blood pressure during the first trimester, supporting further implementation in health care

Interplay between genetics and epigenetics in lung fibrosis

Lung fibrosis, including idiopathic pulmonary fibrosis (IPF), is a complex and devastating disease characterised by the progressive scarring of lung tissue leading to compromised respiratory function. Aberrantly activated fibroblasts deposit extracellular matrix components into the surrounding lung tissue, impairing lung function and capacity for gas exchange. Both genetic and epigenetic factors have been found to play a role in the pathogenesis of lung fibrosis, with emerging evidence highlighting the interplay between these two regulatory mechanisms. This review provides an overview of the current understanding of the interplay between genetics and epigenetics in lung fibrosis. We discuss the genetic variants associated with susceptibility to lung fibrosis and explore how epigenetic modifications such as DNA methylation, histone modifications, and non-coding RNA expression contribute to disease. Insights from genome-wide association studies (GWAS) and epigenome-wide association studies (EWAS) are integrated to explore the molecular mechanisms underlying lung fibrosis pathogenesis. We also discuss the potential clinical implications of genetics and epigenetics in lung fibrosis, including the development of novel therapeutic targets. Overall, this review highlights the importance of considering both genetic and epigenetic factors in the understanding and management of lung fibrosis

Passive In-Slot Heat Path Realisation for Extending the Operating Limits of an Aircraft Propulsion Motor

This paper studies the combined thermal and electrical characteristics of different in-slot conductive heat path materials and shapes to reduce the winding hotspot temperature and improve electrical motors’ output power and performance. Combinations of analytical and 2D finite thermal models are developed and experimentally validated to consider the electromagnetic losses and temperature distributions within a slot-only model, as well as for a full motor. The models are used to assess a range of materials and operating conditions. The main parameters such as the thermal and electrical conductivity, and thickness of the in-slot passive heat conductive paths, are varied to generate a wider understanding of their operation for the future implementation of the heat path concept. Finally, the heat path is adopted for a high-performance aircraft propulsion motor to extend the operation limits. The analysis considered the thermal and electromagnetic aspects and the output power and power density have increased by 21% using the proposed heat path