Principal Axes Research Articles

European VLBI Network observations of the peculiar radio source 4C 35.06 overlapping with a compact group of nine galaxies

Context. According to the hierarchical structure formation model, brightest cluster galaxies (BCGs) evolve into the most luminous and massive galaxies in the Universe through multiple merger events. The peculiar radio source 4C 35.06 is located at the core of the galaxy cluster Abell 407, overlapping with a compact group of nine galaxies. Low-frequency radio observations have revealed a helical, steep-spectrum, kiloparsec-scale jet structure and inner lobes with less steep spectra, compatible with a recurring active galactic nucleus (AGN) activity scenario. However, the host galaxy of the AGN responsible for the detected radio emission remained unclear. Aims. We aim to identify the host of 4C 35.06 by studying the object at high angular resolution and thereby confirm the recurrent AGN activity scenario. Methods. To reveal the host of the radio source, we carried out very long baseline interferometry (VLBI) observations with the European VLBI Network of the nine galaxies in the group at 1.7 and 4.9 GHz. Results. We detected compact radio emission from an AGN located between the two inner lobes at both observing frequencies. In addition, we detected another galaxy at 1.7 GHz, whose position appears more consistent with the principal jet axis and is located closer to the low-frequency radio peak of 4C 35.06. The presence of another radio-loud AGN in the nonet sheds new light on the BCG formation and provides an alternative scenario in which not just one but two AGNs are responsible for the complex large-scale radio structure.

Abstract 7453: Psychometric analysis of Neuro-QoL Perceived Cognitive Function tool in primary brain tumor patients

Abstract Cognitive dysfunction is commonly reported but variable in course and severity in the primary brain tumor (PBT) population. Brief, reliable, and sensitive measures of patient-reported outcomes (PRO) of cognitive symptoms on function are needed for clinical care and research. This study aims to assess the reliability and validity of the Neuro-QoL Perceived Cognitive Function tool (NQC) and explore associations with symptoms and objective testing of cognitive dysfunction in a cohort of PBT patients enrolled in a natural history study (NCT02851706: PI T. Armstrong). Patient sample characteristics and PROs, including NQC (<40 = moderate/severe (MS) dysfunction), a symptom burden measure (MD Anderson Symptom Inventory-Brain Tumor (MDASI-BT), scores ≥5 = MS) and the Montreal Cognitive Assessment ((MoCA), scores ≤ 25 indicating cognitive impairment (range: 0-30)) were collected. Descriptive statistics and a psychometric analysis consisting of bivariate correlations, Cronbach’s alpha, and factor analyses using principal axis factoring with nonorthogonal rotation were performed. Cohen’s kappa and correlation were used to assess agreement between objective and subjective measures of cognitive function. The cohort included 327 patients who completed the NQC at study entry [median age: 47 years (range: 18-85), primarily white (78%) males (55%) with high-grade tumors (73%), 65% with a Karnofsky Performance Status (KPS) ≥ 90 (good), and 29% reporting MS cognitive dysfunction]. Factor analysis of the NQC identified two underlying factor groupings: concentration/focus and executive function with Cronbach’s alphas of 0.92 and 0.91 that are interpretable and provided adequate fit for the data. While the NQC was moderately correlated with several MDASI-BT symptom factors, it was highly associated with the cognitive factor (r = -.646). To assess agreement, a subset of patients also completed the MoCA (n=172). These were primarily male (58%), white (79%), had high-grade tumors (67%), and a good KPS score (67%). In this subset, 24% had MS cognitive dysfunction as measured by the NQC while 44% were cognitively impaired using the MoCA resulting in a kappa agreement of 0.07. The correlation between the MoCA score and NQC T-score was -0.292. Understanding the impact and prevalence of cognitive symptoms, objective cognitive testing, and perceived impact is essential for PBT patient care and identifying supportive care interventions. Select NQC psychometric properties demonstrate reliability and validity in this population, with strong agreement with self-report of cognitive symptoms but weaker correlation with objective testing, highlighting the variability in perceived impact. Future research in cognitive function will explore the use of objective testing and perceived impact, its predictors in select populations (i.e., IDH-mutant tumors), and examine its association with biomarkers. Citation Format: Morgan L. Johnson, Elizabeth Vera, Kimberly Reinhart, Hope Miller, Anna Choi, Tricia Kunst, Bennett McIver, Ewa Grajkowska, Michelle L. Wright, Terri S. Armstrong, Tito Mendoza. Psychometric analysis of Neuro-QoL Perceived Cognitive Function tool in primary brain tumor patients [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 7453.

Quantum imaging of biological organisms through spatial and polarization entanglement.

Quantum imaging holds potential benefits over classical imaging but has faced challenges such as poor signal-to-noise ratios, low resolvable pixel counts, difficulty in imaging biological organisms, and inability to quantify full birefringence properties. Here, we introduce quantum imaging by coincidence from entanglement (ICE), using spatially and polarization-entangled photon pairs to overcome these challenges. With spatial entanglement, ICE offers higher signal-to-noise ratios, greater resolvable pixel counts, and the ability to image biological organisms. With polarization entanglement, ICE provides quantitative quantum birefringence imaging capability, where both the phase retardation and the principal refractive index axis angle of an object can be remotely and instantly quantified without changing the polarization states of the photons incident on the object. Furthermore, ICE enables 25 times greater suppression of stray light than classical imaging. ICE has the potential to pave the way for quantum imaging in diverse fields, such as life sciences and remote sensing.

Viscoelastic relaxation and topological fluctuations in glass-forming liquids.

A method for characterizing the topological fluctuations in liquids is proposed. This approach exploits the concept of the weighted gyration tensor of a collection of particles and permits the definition of a local configurational unit (LCU). The first principal axis of the gyration tensor serves as the director of the LCU, which can be tracked and analyzed by molecular dynamics simulations. Analysis of moderately supercooled Kob-Andersen mixtures suggests that orientational relaxation of the LCU closely follows viscoelastic relaxation and exhibits a two-stage behavior. The slow relaxing component of the LCU corresponds to the structural, Maxwellian mechanical relaxation. Additionally, it is found that the mean curvature of the LCUs is approximately zero at the Maxwell relaxation time with the Gaussian curvature being negative. This observation implies that structural relaxation occurs when the configurationally stable and destabilized regions interpenetrate each other in a bicontinuous manner. Finally, the mean and Gaussian curvatures of the LCUs can serve as reduced variables for the shear stress correlation, providing a compelling proof of the close connection between viscoelastic relaxation and topological fluctuations in glass-forming liquids.

Effects of Inclination of Longitudinal and Vertical Acceleration Components of Near-Field Earthquake Records on Seismic Responses of Pile Foundation-Superstructure Systems in Liquefiable Soil Bed

The inclination angle of such components with respect to the principal orthogonal axes cannot be neglected in the direct seismic analysis of soil-foundation-superstructure systems, specifically in a piled liquefiable soil bed. This study validated numerical simulations and numerically modeled a concrete moment frame on a pile foundation within a liquefiable soil bed. The direct seismic analysis of the superstructure-foundation-soil system was carried out in a single step (through nonlinear dynamic time-history analysis) under longitudinal and vertical near-field seismic acceleration component records. The effects of the inclination of longitudinal and vertical acceleration components on the seismic responses of the soil-foundation-superstructure system in the liquefiable soil bed were explored, evaluating the critical inclination based on the near-field earthquake magnitude. It was observed that the simultaneous application of longitudinal and vertical near-field seismic acceleration components substantially changed the liquefiable soil bed drift of the pile foundation-superstructure system, significantly altering [Formula: see text] in depth, particularly in the middle of the pile depth. The change in [Formula: see text] and its effects on the seismic responses of the superstructure and piles (interstory drift and pile shear force and bending moment) were different upon a 30° change (rotation) in the acceleration records from 0 to 90° with respect to the orthogonal principal axes.

Translation and validation of ageism scale for dental students into Malay language.

Identifying ageism among dental students is essential in gerodontology courses. This study aimed to perform a preliminary validation of a Malay version of the ageism scale for dental students (ASDS-My). The 27-item ASDS were translated into Malay language and completed by 168 dental students. Exploratory factor analysis (EFA) with Promax rotation, Polychoric Correlation Matrix and Principal Axis Factoring was conducted. Internal consistency reliability and discriminative validity were analysed. Criterion validity was measured by comparing ASDS-My with Fraboni Scale of Ageism (FSA). A Kaiser-Meyer-Olkin of 0.612 and a Bartlett's Test of Sphericity yielding p<.001 confirmed the adequate factorability. EFA revealed a 15-items scale distributed into five-factors explaining 54.5% of overall variance, with acceptable reliability. The two factors involved cost-benefit of dental treatment on older patients and challenges during medical history taking. The third, fourth and fifth factors explained attitude towards older patients, negative views of older patients and exposure of dental students to Gerodontology training and experiences respectively. Most factors were significantly positively related to FSA. Discriminative validity revealed significant differences for gender, place of stay and year of study. Preliminary validation of the ASDS-My produced a five-factors 15-items scale with acceptable validity and reliability.

Psychometric properties of the Diabetes Eating Problem Survey-Revised among Dutch adults with type 1 diabetes and implications for clinical use.

Disordered eating behaviour (DEB) in people with type 1 diabetes (T1D) can be screened with the Diabetes Eating Problem Survey-Revised (DEPS-R). This study aimed to investigate the psychometric properties of the DEPS-R among Dutch adults with T1D and to explore the individual items alongside the standard cut-off score of ≥20 for clinical use. The construct validity of the DEPS-R was assessed with an exploratory factor analysis, through principal axis factoring and with Spearman correlations between clinical variables and the DEPS-R. Backward logistic regression identified clinical predictors for DEPS-R scores above the cut-off. DEPS-R item responses were summarized with frequencies, means and standard deviations. Participants were 145 adults with T1D, of whom 79.3% were women and 35.9% presented with DEB based on the cut-off. A single-factor solution of the DEPS-R showed good internal consistency, while a three-factor solution showed acceptable to good internal consistency within the factors. A younger age, a higher BMI and more diabetes distress were predictors for a DEPS-R cut-off score of ≥20. Clinically relevant items were identified that contributed minimally to the DEPS-R score. This study supports a single-factor and a three-factor structure of the DEPS-R while also suggesting an item-specific or factor-specific approach in clinical practice.

Musculoskeletal Pain Intensity and Interference Questionnaire for Musicians-Italian Version (MPIIQM-IT): Multicenter Validation, Translation and Cultural Adaptation.

The study aimed to translate, culturally adapt, and test the psychometric properties of the Musculoskeletal Pain Intensity and Interference Questionnaire for Musicians (MPIIQM) in an Italian population of professional and amateur musicians. The translation and cultural adaptation process followed international guidelines, while the reliability and validity of the questionnaire were assessed against the COSMIN checklist. The internal consistency was calculated using Cronbach's alpha (a) coefficient. Construct validity was analyzed using exploratory factor analysis (EFA) with principal axis factoring (PAF) extraction. The sample adequacy and data suitability were assessed through the Kaiser-Meyer-Olkin (KMO) and Bartlett's sphericity tests, respectively. Concurrent validity was analyzed by assessing Pearson's correlation coefficient with the Italian version of the Musculoskeletal Health Questionnaire (MSK-HQ-I). Finally, the cross-cultural validity was investigated by analyzing score differences between amateur and professional musicians, and differences based on musical practice habits. The tool was administered to 311 subjects recruited from across Italy. The MPIIQM-IT was found to have high levels of internal consistency for the entire tool and each of the two subscales (Cronbach's a = 0.875, 0.877, and 0.845, respectively). The recruited sample was found to be adequate (KMO = 0.810) and the data suitable (C2 = 341.040, p < 0.001) for factor analysis, which produced 9 items contained in two main factors. Pearson's correlation coefficients showed a positive, statistically significant correlation between the MSK-HQ-I and the two subscales of the MPIIQM-IT with p < 0.01. Analysis of Student's t-test for independent samples and the ANOVA test for continuous variables showed statistically significant differences between male and female, professional and non-professional musicians, and conservatory and non-conservatory students. The MPIIQM-IT is a valid and reliable tool, useful for investigating the presence of pain and playing-related musculoskeletal disorders (PRMDs) in both professional and non-professional musicians.

Estimating phenotypic stability for relevant yield and quality traits in French bean (Phaseolus vulgaris L.) using AMMI analysis

The presence of strong G x E (genotype by environment interaction) is a major hurdle for selecting superior genotypes when genotypes are placed into new and unfamiliar production systems. Genotype or cultivar (s) with high yield potential and having less adaptability and stability to particular environment is never a suitable choice for a breeder and farmer particularly. Purposefully, four successive seasons were chosen to enumerate the phenotypic stability of 27 French bean genotypes for yield and quality traits by involving modern statistical tools like AMMI (Additive Main Effect and Multiplicative Interaction), GGE [G + (G x E)] and cluster analysis. AMMI analysis of variance witnessed magnitude of G, E and G x E was 81.94%, 11.58% and 6.48% of the total variation respectively. The IPCA I (Interaction Principal Component Axes) was contributed with 55.44%, 73.60%, 71.81%, 81.69% and 72.16% G x E variations of days to 50% flowering, pod length, number of pods per plant, average pod weight and pod yield respectively. For qualitative traits i.e., protein content (mg/100g FW), total soluble solids (%) and total phenol content (mg GAE/g FW) the involvement of IPCA I to total genotype by environment interaction variations were 89.55%, 96.07% and 66.52% respectively. The AMMI biplot revealed French bean genotypes viz., IC632961, Arka Sukomal, IIHR-PV-29, IIHR-PV-30 having low AMMI stability value and higher mean value for relevant yield and quality traits in both late kharif and rabi as two mega-environments. Multivariate analysis demonstrated significant higher contribution of pod yield associated traits towards total variations and positive correlation between them. The 27 French bean genotypes formed five groups as per Euclidean distance and the clustering revealed the nature of diversity of French bean genotypes viz., IC 632961, IIHR-B-PV-24, Arka Sukomal, Arka Arjun, Ayoka and Phalguni in response to changing environments and can be utilized in future breeding programme. The study revealed pole type French bean genotypes viz., IC 632961, Arka Sukomal and bush type French bean genotypes viz., IIHR-B-PV-29, IIHR-B-PV-30 could be promising for utilization in future breeding programmes for the concerned traits.

Evidence of validity and accuracy for the Mindful Self-Care Scale-Brief among family caregivers of people with cancer in Brazil: A cross-sectional study.

This study aimed to evaluate the evidence of validity and accuracy for the Mindful Self-Care Scale-Brief (B-MSCS) in Brazil among family caregivers of people with cancer. This was a cross-sectional study with a sample of 203 family caregivers of people with cancer. The instruments used in this study were the following: B-MSCS, Brief Resilience Scale, and Brief Scale for Spiritual/Religious Coping. Exploratory factor analysis was carried out using the principal axis factoring method and direct oblimin oblique rotation, and confirmatory factor analysis using the robust weighted least squares means and variance adjusted estimation method and GEOMIM oblique rotation. The internal consistency of the latent factors was measured using Cronbach's alpha coefficients. The 6-factor model showed good fit to the data, with satisfactory reliability indices and adequate representation of the scale's internal structure. The results that can support arguments in favor of validity evidence based on internal structure for the B-MSCS-Brazilian version (BR) relate to a 19-item version which, grouped into 6 latent factors, explained 46.47% of the variance. The factor solution reproduced 79.2% of the theoretically expected structure and 5 items were excluded. The Cronbach's alpha coefficient of the factors in the B-MSCS-BR ranged from 0.58 to 0.84. Positive religious/spiritual coping had a direct association with the B-MSCS-BR factors, with the exception of the Physical Care factor (r = 0.033, p = 0.635). Negative spiritual/religious coping was inversely associated with the Mindful Relaxation (r = -0.160, p = 0.023), Supportive Relationships (r = -0.142, p = 0.043), and Mindful Awareness factors (r = -0.140, p = 0.045). There were no associations between the B-MSCS-BR factors and resilience. The findings reveal that the B-MSCS (19-item) is a valid, reliable, and culturally-appropriate instrument to examine the practice of mindful self-care by family caregivers of people with cancer in Brazil.

Spectra-phenology integration for high-resolution, accurate, and scalable mapping of foliar functional traits using time-series Sentinel-2 data

Foliar functional traits are essential for understanding plant adaptation strategies and ecosystem function. Due to limited in-situ observational data, there is a growing interest in upscaling these traits from field sites to regional and global levels. However, limitations persist: (1) global/national scale upscaling that relies on plant functional type (PFT) maps, environmental variables or coarse resolution multispectral images, which fail to capture local-scale trait variability; (2) airborne imaging spectroscopy that enables high-resolution and accurate mapping but is restricted to site scale and is costly; and (3) multispectral satellites like Sentinel-2 that offer global coverage but have limited spectral bands and resolution. While previous research has demonstrated the connection between traits and vegetation phenology, our study seeks to build upon this foundation by further exploring the integration of phenological information for large-scale trait prediction. We examined the integration of Sentinel-2 data with its time series (for phenology information) to map 12 foliar functional traits across 14 National Ecological Observatory Network (NEON) sites in the eastern United States. Our results show that time-series Sentinel-2 models effectively capture the variance in these 12 traits (R2 = 0.60–0.80) when compared with benchmark trait data generated by state-of-the-art airborne imaging spectroscopy. The models adequately capture considerable trait variations observed within sites and PFTs. Our approach outperforms existing methods that rely on environmental variables, or a single Sentinel-2 image as predictors across examined NEON sites in eastern United States. Interestingly, including environmental variables in our models does not significantly improve predictive power. Further analysis reveals that a ‘fast-slow’ principal axis predominantly explains the covariation in Enhanced Vegetation Index amplitude (a proxy for leaf longevity), leaf mass per area, and leaf nitrogen content across PFTs. This finding highlights the importance of incorporating phenological information for trait mapping and suggests a potential mechanism underlying these spectra-based models. Our proposed method, which simultaneously achieves high accuracy, large-scale scalability, and high spatial resolution, represents a promising avenue for future global trait mapping. Validation on a larger scale to fully realize its potential in addressing fundamental ecological questions will be a key future focus.

Earth's Free Surface Complicates Inference of Absolute Stress From Earthquake‐Induced Stress Rotations

AbstractThe stress redistribution from an earthquake can produce localized measurable rotations of the principal stress axes if the absolute level of differential stress in the crust is on the order of the earthquake stress drop. Two simple analytic solutions have been developed to estimate the differential stress from an observed stress rotation. However, each has assumptions that may not be accurate near Earth's free surface. I model synthetic earthquakes in an elastic half‐space, and show that the assumptions of the methods are accurate for strike‐slip earthquakes, and for deep dip‐slip earthquakes. However, they are incorrect for shallow dip‐slip earthquakes. I introduce a free surface correction for one of the methods for dip‐slip earthquakes. I revise an analysis of stress rotations due to great subduction zone earthquakes, including this correction. The results support the original conclusion of near complete stress drop for many shallow subduction zone earthquakes.

A Preliminary Exploratory Factor Analysis of the BDSM Counselor Competency Scale.

BDSM practitioners represent a large sexual minority group often overlooked, misunderstood, and unnecessarily pathologized by mental health clinicians. Although developing cultural competence for diverse and marginalized populations is widely understood to be a core component of delivering efficacious therapeutic services that can counteract these stigmatizing mental healthcare experiences, no measures currently exist that assess clinicians' self-reported competence to work with BDSM practitioners. Previous measurement work has been done to establish self-report competency scales for clinicians working with other sexual and gender minority groups, but no such scales exist for working with BDSM practitioners. In the current study, we adapted a version of the Sexual Orientation Counselor Competency Scale (SOCCS) to measure clinicians' self-reported competence to work with BDSM practitioners and did a preliminary exploratory factor analysis of the new scale (n = 124). After an initial 24-item administration, principal axis factoring of our final 17-item solution revealed two latent factors (attitudes and skills/knowledge) consistent with the 2013 SOCCS and the theoretical constructs of cultural competency. The BDSM Counselor Competency Scale (BDSM-CCS) can help clinicians, practices, agencies, and training programs track self-reported cultural competence with the BDSM population. Future research directions for scale development and clinical and training applications are discussed.

Dynamics of eugenol included in β-cyclodextrin by nuclear magnetic resonance and molecular simulations.

Eugenol-β-cyclodextrin complex has been widely used because of the enhanced stability and conservation of the properties of eugenol. Applications in food and health sciences have been shown previously, which makes this complex an excellent model to understand and develop methodologies for the analysis and prediction of physical properties. In this work, the dynamics of eugenol incorporated into β-cyclodextrin are presented, using NMR relaxation rates, and the predictive capabilities of molecular dynamics simulations are discussed. Results show a hindered rotation of eugenol around the principal inertial axes when located inside β-cyclodextrin. Moreover, a translational movement of the whole complex is demonstrated.

Protein ensemble modeling and analysis with MMMx.

Proteins, especially of eukaryotes, often have disordered domains and may contain multiple folded domains whose relative spatial arrangement is distributed. The MMMx ensemble modeling and analysis toolbox (https://github.com/gjeschke/MMMx) can support the design of experiments to characterize the distributed structure of such proteins, starting from AlphaFold2 predictions or folded domain structures. Weak order can be analyzed with reference to a random coil model or to peptide chains that match the residue-specific Ramachandran angle distribution of the loop regions and are otherwise unrestrained. The deviation of the mean square end-to-end distance of chain sections from their average over sections of the same sequence length reveals localized compaction or expansion of the chain. The shape sampled by disordered chains is visualized by superposition in the principal axes frame of their inertia tensor. Ensembles of different sizes and with weighted conformers can be compared based on a similarity parameter that abstracts from the ensemble width.

Morphological characterization of newly developed orangelo (Citrus spp.) hybrids

Present study was carried out during 2021–23 (Ambe and Mrig bahar season) at the research farm of ICAR- Indian Agricultural Research Institute, New Delhi to analyse the morphological diversity of 24 orangelo (Citrus spp.) hybrids and their 4 parents based on 17 quantitative traits such as leaves, flowers, fruits and seed characters. Cluster analysis based on 17 morphological traits divided 28 genotypes of citrus into two main groups. A higher range of variation with average Euclidean distance coefficients ranging from 0.02–0.26 was observed between groups as well as clusters, thereby indicating that genotypes within and among clusters were highly diverse. The PCA for morphological quantitative traits showed that five components leaf lamina length (LLL); leaf lamina width (LLW); LLL: LLW; leaf lamina thickness and pedicel length, of the 17 principal component axis had Eigen-values&gt;1 and all together accounted for over 77.76% of the total variability. Analysing the genetic relationships among the hybrids yielded important insights for potential use in future breeding programmes as valuable sources of desirable traits.

Separation of mass and gap errors of hemispherical resonator gyroscopes by varying bias voltage

For hemispherical resonator gyroscopes (HRGs), mass imperfections and capacitive gap nonuniformity jointly influence the frequency mismatch and degrade the gyroscope performance. However, the coupling mechanism and separation of these two errors are rarely discussed. This paper proposes, for the first time, a novel method of separating mass imperfections and gap nonuniformity of HRGs, based on a dynamics model considering both the two errors. By measuring the frequency mismatches and principal axes of stiffness at different bias voltages, the mass imperfections and gap nonuniformity can be separately obtained. The method is investigated in detail by simulation, and validated by experiment on three different HRGs. The experimental results agree well with the theoretical analysis, demonstrating the effectiveness of the model and the separation method. Our method may contribute to high-precision HRG manufacture, and can be conveniently applied to other Coriolis vibrating gyroscopes (CVGs) with electrostatic actuation.

Development and Testing of the School Healthcare Partnership Scale for Parents.

Cooperation between parents and school nurses is essential for the successful completion of school courses and a healthy school life for children with long-term conditions. Therefore, this study aimed to develop and test a scale to measure parental perceptions of partnerships between school nurses and parents in the school health care (SHC) system for children with type 1 diabetes (T1D). The content validity, factorial structure validity, convergent validity, discriminant validity, known-group validity, internal consistency reliability, and test-retest reliability of the School Healthcare Partnership Scale for Parents (SHCPS-P) were evaluated. Data were analyzed by performing exploratory factor analysis (EFA), Pearson's correlation, Cronbach's α, and independent t-tests. The total sample included 155 parents for the EFA and 49 parents for the stability test. Seventeen items, grouped into 3 dimensions, were extracted through principal axis factoring. The total variance explained by these factors was 53.57%. The scale demonstrated a high correlation with parental satisfaction regarding school nursing and a moderate correlation with diabetes-related safety, thereby showing convergent validity. A low correlation with empathy demonstrated discriminant validity. A significant difference existed in the partnership scores in known-group comparisons. Cronbach's α was 0.95, and the test-retest correlation coefficient was 0.95, which showed reliability. This study suggests that the SHCPS-P is a reliable and valid tool for measuring the perception of SHC partnership among parents of children with T1D and can be used as an indicator to measure parents' perspectives about SHC.

Phonon thermal transport shaped by strong spin-phonon scattering in a Kitaev material Na2Co2TeO6

The report of a half-quantized thermal Hall effect and oscillatory structures in the magnetothermal conductivity in the Kitaev material α-RuCl3 have sparked a strong debate on whether it is generated by Majorana fermion edge currents, spinon Fermi surface, or whether other more conventional mechanisms are at its origin. Here, we report low temperature thermal conductivity (κ) of another candidate Kitaev material, Na2Co2TeO6. The application of a magnetic field (B) along different principal axes of the crystal reveals a strong directional-dependent B impact on κ, while no evidence for mobile quasiparticles except phonons can be concluded at any field. Instead, severely scattered phonon transport prevails across the B−T phase diagram, revealing cascades of phase transitions for all B directions. Our results thus cast doubt on recent proposals for significant itinerant magnetic excitations in Na2Co2TeO6, and emphasize the importance of discriminating true spin liquid transport properties from scattered phonons in candidate materials.

İlkokul Dönemi Üstün Yetenekli Çocuklar İçin Aday Bildirim Ölçeği (İDABÖ) Geliştirme Çalışması

Introduction: The aim of this study is to develop a teacher nomination scale for gifted students in primary schools. The developed scale is theoretically based on Renzulli’s Three-Ring Conception of Giftedness Theory. Method: In this study, a Teacher Nomination Scale for Gifted Children in Primary Schools (TNSG-P) was developed to identify gifted children attending primary school. The descriptive survey design was used in this study. In study 1, the exploratory factor analysis (EFA) using principal axis method was conducted. In study 2, the confirmatory factor analysis (CFA) using robust maximum likelihood estimation method was carried out. In study 3, the validity of the scale was tested. Findings: A pilot study involving 507 participants was carried out using the 89-item trial form. After the pilot phase, 50 items remained in the scale. A confirmatory factor analysis was conducted on the 50-item scale in a sample of 225 participants. This showed that the fit indices of the scale had a perfect fit and the second level three-factor structure of the scale with 27 items was confirmed. In the validity analysis of the scale, gifted students and typical students were compared and a statistically significant difference was obtained in favor of the gifted students. Cronbach’s α and stratified Cronbach’s α, McDonald’s ω, composite reliability coefficients and average variance extracted (AVE) values regarding the reliability of the scale were also examined. The reliability coefficients for both the overall scale and its subscales were found to be above .95. Discussion: The findings have revealed that the Teacher Nomination Scale for Gifted Children in Primary Schools is a valid assessment instrument and gives reliable scores in identifying gifted children.