Quantitative Measurements Research Articles

Learning vocabulary through listening

Abstract This study explored the strategy use of 12 high-school learners of English within a vocabulary teaching intervention which exposed three groups of learners to one of three types of oral vocabulary explanations: L2 explanations; codeswitched explanations (CS); and contrastive focus-on-form explanations (CFoF) giving cross-linguistic information. Unlike previous studies of vocabulary interventions, which have tended to focus solely on quantitative outcome measures and therefore give arguably limited insights into why different interventions have the impact that they do, the study implemented stimulated recall interviews to explore strategy use in order to better understand the learning outcomes from the intervention. A qualitative analysis was undertaken to explore how learners used strategies and whether patterns of use emerged by intervention group and proficiency level. Compared with the CS and L2 groups, learners from the CFoF group attended more specifically to the target words and engaged in more metacognitive reflection and evaluation of the explanations, leading potentially to deeper processing and hence greater vocabulary gains. Such strategy use also seemed, however, to explain their smaller gains in listening comprehension. Finally, strategic behaviour was found to be related to levels of vocabulary knowledge and listening proficiency. The value of exploring qualitative data on strategy use for evaluating the effects of an intervention is discussed, alongside the theoretical and pedagogical implications of these findings.

Exploring the Role of Emotional and Spiritual Intelligence in enhancing Teaching Competency: A Study on the Influence of Personal Growth and Interpersonal Skills on Educator effectiveness

This study examines the role of emotional intelligence (EI) and spiritual intelligence (SI) in enhancing teaching competency, emphasizing the mediating influence of personal growth and interpersonal skills on educator effectiveness. Emotional intelligence, which encompasses self-awareness, emotional regulation, empathy, and social skills, enables teachers to manage classroom dynamics, foster meaningful relationships, and create supportive learning environments. Similarly, spiritual intelligence, defined by purpose-driven actions, ethical alignment, and resilience, equips educators to inspire students holistically while maintaining balance and moral integrity in their professional roles. The interplay of these intelligences with personal growth, characterized by self-reflection, adaptability, and continuous learning, further enriches teaching practices, enabling educators to respond effectively to evolving classroom challenges. Interpersonal skills, including communication, collaboration, and conflict resolution, are integral to building constructive relationships with students, colleagues, and parents, amplifying the impact of EI and SI on teaching effectiveness. Employing a mixed methods approach, the study combines quantitative measures of EI, SI, and teaching competency with qualitative insights from interviews and focus groups to provide a comprehensive understanding of these dynamics. Findings highlight the transformative potential of integrating EI and SI into teacher training programs, fostering a holistic approach to professional development that prioritizes emotional and spiritual dimensions alongside technical expertise. The study underscores the importance of fostering these intelligences to empower educators to navigate the complexities of modern education with resilience, empathy, and purpose. By advancing a framework that integrates emotional and spiritual intelligence with personal and interpersonal development, this research contributes to the growing body of knowledge advocating for a more inclusive and value-driven approach to enhancing teaching competency and improving educational outcomes.

Liquid-Phase NMR of Humic and Fulvic Acids.

Present review focuses on the most recent advances in the NMR of the coal-derived humic and fulvic acids, covering exclusively the results of the liquid-phase NMR and leaving apart an overwhelming amount of publications dealing with the solid-state NMR investigations in this field (the latter are comprehensively reviewed elsewhere). Owing to the complexity of humic and fulvic acids together with other coal-derived products, their 1H and 13C NMR spectra consist of a number of overlapping signals belonging to different hydrocarbon types. Comprehensive studies of humic and fulvic acids by means of NMR revealed characteristic functional groups of their composition together with spectral regions in which they resonate. Quantitative 1H and 13C NMR spectra characterize aromatic and saturated carbons spread over many structural moieties, which provides a solid guideline into molecular structure of humic and fulvic acids together with parent coal-derived products. Nowadays, quantitative 13C NMR measurements yield information about a variety of structural parameters such as functional group distribution, aromaticity, degree of condensation of aromatic rings, and medium chain lengths together with many other more specific parameters. The structural NMR studies of the coal-derived products are developing on a background of a marked progress in experimental and computational NMR. Discussed in the present review are the most recent advances in the liquid-state NMR studies of the coal-derived humic and fulvic acids together with their processing products.

Full-length RNA-Seq of the RHOH gene in human B cells reveals new exons and splicing patterns.

The RhoH protein is a member of the Ras superfamily of guanosine triphosphate-binding proteins. RhoH is an atypical Rho family member that is always GTP-bound and thus always activated. It is restrictively expressed in normal hematopoietic cells, where it is a negative regulator of cell growth and survival. We previously analyzed the RHOH gene structure and demonstrated that this gene is composed of 7 exons, one single encoding exon located at the 3' extremity of the gene, preceded by 6 noncoding exons. To further understand the transcription events associated with this gene, we performed full-length RNA-Seq on 12 B-cell lines. We identified new exons, new splice events and new splice sites, leading to the discovery of 38 RHOH mRNA molecules, 27 of which have never been described before. Here, we also describe new fusion transcripts. Moreover, our method allowed quantitative measurements of the different mRNA species relative to each other in relation to B-cell differentiation.

Ascorbic acid and glucose can cause significant interference on quantitative measurement of biochemistry analytes in urine.

Preanalytical errors due to interferences can lead to inaccurate results, necessitating an understanding of potential interferences for each test. This study explores the impact of elevated concentrations of ascorbic acid and glucose on urine analysis, a pivotal diagnostic tool. Conducted at the Clinical Institute of Chemistry, KBC Sestre milosrdnice, the research utilized a 24-hour urine sample. Parameters assessed included total proteins, albumin, amylase, sodium, potassium, chlorides, calcium, phosphates, magnesium, creatinine, urea, and uric acid. Various concentrations of added interferents were prepared for duplicate measurements using statistical analysis in Microsoft Excel. No statistically significant interferences were found in albumin, amylase, sodium, potassium, or phosphate concentrations. However, ascorbic acid interfered with chloride, calcium, and magnesium determinations. Conversely, elevated glucose affected total protein, calcium, magnesium, creatinine, urea, and uric acid determinations. Interference of ascorbic acid with chloride and interference of glucose with total proteins and uric acid displayed a linear relationship. Results suggest cautious analysis interpretation from certain parameters in patients with elevated glucose and/or ascorbic acid in urine. Whereas ascorbic acid interference may go unnoticed due to its infrequent measurement, routine determination of glucose in urine is crucial, especially for diabetes patients.

Association of whole blood essential metals with neurodevelopment among preschool children.

Essential metals may play roles in neurodevelopment. The aim was to evaluate the associations of magnesium (Mg), iron (Fe), copper (Cu), and zinc (Zn) levels with neurodevelopment among preschool children. The medical records of eligible children enrolled between January 2019 and July 2022 were retrospectively reviewed for required information. The quantitative measurement of metals was conducted using atomic absorption spectroscopy, while screening of neurodevelopment was performed using the Ages and Stages Questionnaire. Modified Poisson regression and Bayesian kernel machine regression (BKMR) analyses were used to evaluate the prevalence ratio (PR) of their independent and joint associations. 662 (14.8%) children were found to have possible neurodevelopmental delays. Modified Poisson regression showed that Mg, Cu, and Zn levels were independently and negatively associated with the risk of neurodevelopmental delay. The PRs (95% CIs) for per log2 increment of the above metals were 0.35 (0.19-0.62), 0.57 (0.42-0.77), and 0.63 (0.42-0.96). These negative associations were more pronounced in the gross motor and personal-social domains while considering the concrete five domains. BKMR showed a negative association of metal mixture with the risk of neurodevelopmental delay. Mg, Cu, and Zn were inversely associated with neurodevelopmental delay. Sufficient essential metal levels are important for neurodevelopment. Essential metals play a key role in neurodevelopment. The association of essential metal mixture with neurodevelopment is relatively scarce. Preschool children with possible neurodevelopmental delay are found to have lower Mg, Cu, and Zn levels than their counterparts. Single Mg, Cu, Zn levels, and elevated essential metal mixture are negatively associated with the risk of possible neurodevelopmental delay.

Occupational exposures in low- and middle-income countries: A scoping review.

Exposure to high levels of harmful agents in the workplace can significantly impact workers' health, contributing to morbidity and mortality. Levels of these exposures are often measured in high-income countries in research studies and, in some places, to monitor levels in line with health and safety regulations. However, less is known about workplace exposure levels in low- and middle-income countries (LMICs). Our aim was to describe the quantitative exposure measurements of different occupational agents across industries within LMICs. We conducted a scoping review of peer-reviewed publications available on Web of Science and PubMed from inception to 1 September 2023. Our search focused on quantitative occupational exposure measurements across industries in LMICs. We identified a total of 8,676 publications. After screening, 58 studies from 25 countries were retained for final review. China, Iran, and Tanzania contributed the greatest number of studies. Manufacturing, mining, and agriculture were the most studied sectors, with factory workers and miners being the most common job titles. Exposure measurements included vapour, gases, dust, and fumes (VGDF), solvents, metals, pesticides and particulate matter. Occupational exposure levels for the same industry varied widely across geographical regions. This review provides a comprehensive overview of occupational exposures in LMICs and highlights the absence of data in certain geographical areas and industries. The study contributes valuable insights for directing future research, and the need to optimise the assessment of occupational exposures in LMICs with the aim ultimately of reducing disease.

Unveiling tryptophan dynamics and functions across model organisms via quantitative imaging.

Tryptophan is an essential amino acid involved in critical cellular processes in vertebrates, serving as a precursor for serotonin and kynurenine, which are key neuromodulators to influence neural and immune functions. Systematic and quantitative measurement of tryptophan is vital to understanding these processes. Here, we utilized a robust and highly responsive green ratiometric indicator for tryptophan (GRIT) to quantitatively measure tryptophan dynamics in bacteria, mitochondria of mammalian cell cultures, human serum, and intact zebrafish. At the cellular scale, these quantitative analyses uncovered differences in tryptophan dynamics across cell types and organelles. At the whole-organism scale, we revealed that inflammation-induced tryptophan concentration increases in zebrafish brain led to elevated serotonin and kynurenine levels, prolonged sleep duration, suggesting a novel metabolic connection between immune response and behavior. Moreover, GRIT's application in detecting reduced serum tryptophan levels in patients with inflammation symptoms suggests its potential as a high-throughput diagnostic tool. In summary, this study introduces GRIT as a powerful method for studying tryptophan metabolism and its broader physiological implications, paving the way for new insights into the metabolic regulation of health and disease across multiple biological scales.

Osmotic and phoretic competition explains chemotaxic assembly and sorting

Microscale objects responding to chemical gradients by migrating toward or away from a preferred species is a simple yet constitutive mechanism by which transport occurs in biological organisms. Synthetic chemotaxis provides key physical descriptions of simplified systems that can be used in biological models, or in the creation of advanced responsive material systems. In this article, we provide a quantitative framework for understanding synthetic chemotaxis of microparticles which involves a competition between phoresis and osmosis. We present separate quantitative measurements of phoresis and osmosis acting on individual taxing particles, finding that phoresis follows the long-predicted [Formula: see text] scaling while the osmotic contribution depends on the geometry and details of the system, and must be solved on a case-by-case basis. Through this, we are able to develop a more accurate picture of particle transport at the single particle level. Equipped with this approach, we go on to describe how high concentrations of particles in a symmetric chemical gradient grow close-packed hives that reach a steady-state size tunable through light intensity or particle size. Last, we demonstrate that mixed particles experiencing the same chemical gradient will selectively migrate toward or away depending on the nature of the particle surface, thereby locally sorting out a particular species. We anticipate these results will be important in describing both biological and synthetic chemotaxis in phoretic systems and should bring a wealth of studies that take advantage of competing osmotic flows to illicit unexpected dynamic active behavior.

Mammographic density in relation to breast cancer risk factors among Chinese women.

Background Increased mammographic density (MD) is a known breast cancer (BC) risk factor, but its influencing factors are unclear in Asian populations. This study examined the links between known BC risk factors and quantitatively measured MD in 7,351 Chinese women with non-malignant mammographic findings. Methods VolparaDensity software quantified volumetric MD measures: total breast (TBV), absolute dense (ADV), percent dense (PDV= ADV/TBV), and non-dense volumes (NDV= TBV-ADV). Multivariable linear regression models assessed associations between these MD metrics and BC risk factors. Results The mean age of the population was 50.1 (SD=8.3) years. The mean ADV, NDV, and PDV were 58.4 (SD=32.1), 382.8 (SD=202.0) cm³ and 14.8 (SD=7.1) %, respectively. PDV was inversely associated with age, weight, body mass index (BMI), parity, breastfeeding duration, and postmenopausal status, but positively linked to height and age at menopause. NDV showed opposite associations. ADV had similar associations to PDV, except for height, weight, and BMI, which differed for women with the lowest NDV. PDV associations with age at menarche, age at first birth, and breastfeeding duration varied by BMI and menopausal status. Conclusions MD may influence the relationship between reproductive factors and BC risk, depending on MD measure, menopausal status, and BMI. Impact This study examines how quantitative MD measures relate to known BC risk factors in an East Asian population, factoring in menopausal status and BMI. The results underscore the complex role of MD and confounding factors in BC risk, highlighting the need for tailored insights for future research and screening.

Intentionality, Pygmalion, and Cognitive Fun Redirects Elementary School Children in Pull-Out Neural Enrichment

This study describes an academic enrichment intervention for 15 ‘high risk’ children who were pulled out of General Education classrooms in Bangalore India for 40 minutes four-times a week during a typical school year. Could a brain-based intervention reduce achievement gaps that showed up for these children in terms of below-grade academic outcomes and impoverished social and emotional wellbeing? The null hypothesis stated that a teacher’s mental model that shifted to brain-based methodology would have no perceivable effect on (i) children’s academic achievement or (ii) their social and emotional engagement. This study was grounded in teacher education literature involving mental models that illuminate classroom management techniques. Subjects were drawn from second grade students (mean 6.7 years; n = 15). Study was an opportunistic quasi-experimental design reflecting school life across India. Qualitative ethnographic data using grounded theory were triangulated with quantitative measures that best account for observed outcomes. Findings highlight significant academic, and social and emotional growth, which dramatically reduced the achievement gap for all participants.

Agential realism as an alternative philosophy of science perspective for quantitative psychology

This paper introduces Karen Barad’s philosophical framework of agential realism as an alternative philosophy of science perspective for quantitative psychology and measurement. Agential realism offers a rethinking of the research object, measurement process and outcome, causality, and the researcher’s responsibility by proposing an ethico-epistem-ontological understanding of material-discursive practices that co-construct our world. The contemporary, canonical underlying philosophy of science perspective of quantitative psychology entails entity realism, a difference between ontic existence and epistemic approaches, complete causality, and determinism. Consequently, the researcher has no responsibility for the characteristics of a research object. The paper introduces agential realism and its assumptions about rejecting entity realism but a particular understanding of phenomena, the entanglement of ontic existence and epistemic approaches, and the researcher’s role in co-creating an outcome. A reworking of the concept of causality implies newly emerging possibilities for realizations. Subsequently, the paper addresses four consequences of applying agential realism in quantitative psychology. (1) If there is indeterminacy in every phenomenon, researchers do not search for one true score but assume a realization potential, which has implications for comparisons and replications. (2) If configurations are part of things-in-phenomena, then context does not work as a third variable; instead, all ‘parts’ are co-creators. This entanglement must be considered in replications instead of trying to eliminate its impact. (3) Agential realism encompasses the researchers’ responsibility to justify decisions made in a research project and to clarify ethics. (4) Overall, agential realism alters the research endeavor by asking new questions and interpreting research outcomes differently. Further directions point towards concrete tasks like methodological questions and the necessity within psychology to elaborate further on the conceptualizations initiated by Barad.

EasyFlow: An open-source, user-friendly cytometry analyzer with graphic user interface (GUI).

Flow cytometry enables quantitative measurements of fluorescence in single cells. The technique was widely used for immunology to identify populations with different surface protein markers. More recently, the usage of flow cytometry has been extended to additional readouts, including intracellular proteins and fluorescent protein transgenes, and is widely utilized to study developmental biology, systems biology, microbiology, and many other fields. A common file format (FCS format, defined by the International Society for Advancement of Cytometry (ISAC)) has been universally adopted, facilitating data exchange between different machines. A diverse spectrum of software packages has been developed for the analysis of flow cytometry data. However, those are either 1) costly proprietary softwares, 2) open source packages with prerequisite installation of R or Python and sometimes require users to have experience in coding, or 3) online tools that are limiting for analysis of large data sets. Here, we present EasyFlow, an open-source flow cytometry analysis graphic user interface (GUI) based on Matlab or Python, that can be installed and run locally across platforms (Windows, MacOS, and Linux) without requiring previous coding knowledge. The Python version (EasyFlowQ) is also developed on a popular plotting framework (Matplotlib) and modern user interface toolkit (Qt), allowing more advanced users to customize and keep contributing to the software, as well as its tutorials. Overall, EasyFlow serves as a simple-to-use tool for inexperienced users with little coding experience to use locally, as well as a platform for advanced users to further customize for their own needs.

Tunable diode laser absorption spectroscopy monitoring of the water vapor condensation process in the high-speed flow

Abstract In this work, non-invasive high-precision quantitative measurements of the water vapor condensation process have been carried out using tunable diode laser absorption spectroscopy(TDLAS) at the sub-millisecond level. The high-speed condensation of water vapor is achieved by a self-designed rarefaction wave reflection system. Combined with different sizes of experimental cavities, the condensation process is realised at various time scales of sub-milliseconds (0.2-0.66 ms). The processes of temperature and water vapor content during the high-speed condensation are measured using the water vapor absorption spectra near 7168.437 cm-1 and 7185.597 cm^-1. The experimental results show that the hypervelocity expansion flow field generated by the experimental system demonstrates good uniformity and reaches a cooling rate of 10^5 K/s, which has the same order as that of the supersonic nozzle. The condensation process is similar on different sub-millisecond timescales and the normalised temperature change curves are approximately the same. Moreover, the higher the water vapor content, the shorter the condensation time.

Abstract B027: Combining total cell-free DNA (cfDNA) and circulating tumor (ctDNA) to enhance the clinical sensitivity of ddPCR assays to detect minimal residual disease (MRD) in stage IIIB/C/IV melanoma patients on adjuvant immunotherapy in CheckMate 238

Abstract Background: In patients (pts) with resected, stage III/IV melanoma receiving adjuvant immunotherapy, pre-treatment (pre-Tx) and on-treatment (on-Tx) ctDNA measurements are associated with relapse free survival; however, clinical adoption has been hindered by suboptimal assay sensitivity. Methods: We used analytically validated, mutation-specific ddPCR assays to measure ctDNA and cfDNA in pre- and on-Tx plasma samples from pts with resected stage IIIB/C/IV melanoma enrolled in CheckMate 238 (NCT02388906) receiving either adjuvant Nivolumab (NIVO) or Ipilimumab (IPI). Assay choice was personalized based on detection of one of the 7 melanoma hot-spot mutations in pt tumors: BRAF V600E/K, NRAS Q61R/L/K, or TERT promotor C228T or C250T. We evaluated associations between ctDNA detection, or high cfDNA based on cutpoint analysis (>6,000 copies/ml of plasma) and recurrence-free survival (RFS), pre-Tx tumor biomarkers including tumor cell PD-L1 expression, IFNg gene signature, CD8 infiltration, and tumor mutational burden. Survival analysis was performed using univariable and multivariable Kaplan-Meier and Cox regression models. Results: Assay mutations were identified in 87% of resected tumors. In the pre-Tx samples, ctDNA alone was detected in 94/753 (12%) pts. The detection rate increased to 20% when assay positivity was defined as either detectable ctDNA or high cfDNA. The sensitivity of ctDNA detection to predict recurrence ≤6 months(m) from pre-Tx samples increased from 25% (ctDNA alone) to 33% when high cfDNA was added to detectable ctDNA; specificity decreased to 84% from 91% (ctDNA alone). The patient subgroup defined by the combined metric of ctDNA+ or high cfDNA in pre- Tx samples was significantly enriched with higher stage of disease, elevated LDH, tumor cell PD-L1 expression < 5%, and tumor IFNg-RNA signature < median. Pts with detectable pre-Tx ctDNA or high cfDNA was associated with shorter RFS in both NIVO (median RFS 20.5 m [95%CI, 2.88, 59.15]) and IPI (median RFS 7.75 m [95%CI, 2.76, 24.08]) arms compared to those with undetectable ctDNA and low cfDNA (NIVO (median RFS 47.95 m [95%CI, 11.09, 59.89]) and IPI (median RFS 24.15 m [95%CI, 5.78, 58.38])). In a multivariable model that included sex, age, treatment, and IFNg gene signature, ctDNA+ or cfDNA high was an independent predictor of shorter RFS [HR 1.624 (95%CI, 1.275, 2.068), p<0.001]. When combining pre-Tx and on-Tx measurements at week 3 (w3) and w7, the assay performance generally increased compared to pre-Tx alone. For example, pre-Tx assay positivity had a 38% positive predictive value (PPV) and 81% negative predictive value (NPV) to predict recurrence at <6 m. In pts who were undetectable at pre-Tx but became positive at w3 and remained positive at w7, PPV increased to 62% and NPV increased to 90%. Conclusions: Incorporating quantitative measurements of cfDNA with ctDNA detection in the evaluation of pre-Tx and on- Tx plasma samples improves the clinical performance of mutation-specific ddPCR assays to detect MRD in patients with resected stage III and stage IV melanoma. Citation Format: Mahrukh M Syeda, Jennifer M Wiggins, Josephine Alegun, Saim Ali, Soutrik Mandal, Tracy (Hao) Tang, Keyur Desai, Sonia Dolfi, Daniel J Tenney, Paolo A Ascierto, James Larkin, Michele Del Vecchio, Jeffrey S Weber, David Polsky. Combining total cell-free DNA (cfDNA) and circulating tumor (ctDNA) to enhance the clinical sensitivity of ddPCR assays to detect minimal residual disease (MRD) in stage IIIB/C/IV melanoma patients on adjuvant immunotherapy in CheckMate 238 [abstract]. In: Proceedings of the AACR Special Conference: Liquid Biopsy: From Discovery to Clinical Implementation; 2024 Nov 13-16; San Diego, CA. Philadelphia (PA): AACR; Clin Cancer Res 2024;30(21_Suppl):Abstract nr B027.

Hybrid Supports for Oligonucleotide Synthesis: Controlled Pore Glass Derivatives with Branched Amine-Ended Polyether or Polyimine.

Controlled pore glass (CPG), differing in pore size and subsequent specific surface, was chemically modified by: (1) increasing surface susceptibility for amine functionalization via reaction with oxirane-type (active) and alkyl/aryl-type (inactive towards amine compounds) silane pro-adhesive compounds, and (2) immobilization of trimethylolpropane tris[poly(propylene glycol), amine terminated] ether, comb-like 8-arm octa[poly(ethylene glycol) amine] with each branch amine terminated, and a poly(propylene imine) amine-terminated second-generation dendrimer. The increase in surface density of amine functions-monitored by UV-Vis technique adopted for quantitative measurements of Ruhemann's purple intensity-improved final loading capacity, characterized by dimethoxytrityl cation absorption. Obtained materials proved their applicability in automatic oligonucleotide (ON) synthesis, especially when silanized 2000 Å CPG modified with 8-arm octa[poly(ethylene glycol) amine], with deduced empirical formula CPG-silane-(NH)5.7PEG-(NH2)2.3, was used for long-chain (150 nucleotides) ONs synthesis. This can be regarded as a good CPG support for this purpose. Moreover, hybrid supports with different porosity allowed the synthesis of shorter ONs with satisfactory yield and purity, monitored by RP-HPLC and MALDI-TOF. On the molecular level, two competitive mechanisms seem to influence the utility of the final hybrid support: spatial availability of active sites and the propensity of the functionalizer to bond with the CPG surface.

Subjective spatial orientation discomfort is associated with decreased real-world spatial performance and lower cognitive function

BackgroundSpatial memory and orientation deficits often precede cognitive impairment in incipient dementia, e.g., Alzheimer’s disease. Therefore, early diagnosis of spatial impairment may be crucial to the initiation of an adequate therapeutic intervention. Subjective tests, such as spatial anxiety and spatial discomfort questionnaires, and objective tests in the form of quantitative measures of orientation, are available. In these tests, vestibular hypofunction has often been neglected as a potential confounder. The major research question in this study was how self-assessed questionnaires correlate with the data from objective measures in participants with proven normal vestibular function.MethodsA heterogeneous group of 135 participants (72 females, 63 males, mean age 62.75 ± 14.46 years) from a tertiary center for vertigo and balance disorders consisting of two cohorts, with (n = 49) and without (n = 86) cognitive deficits in a screening test (MoCA), was examined (a) with a newly introduced inventory for subjective spatial discomfort (Extended Inventory for Spatial Orientation Discomfort, EISOD), (b) a well-established questionnaire for subjective spatial skills (Santa Barbara Sense of Direction Scale, SBSODS), and (c) the objective three-dimensional real-world pointing task (3D-RWPT) before and after horizontal body rotations. In all patients, acute central or peripheral vestibular deficits were ruled out by neuro-orthoptics, bithermal water calorics and video head impulse testing.ResultsSelf-assessed spatial orientation discomfort (EISOD) correlated with the amount of spatial impairment in the 3D-RWPT for both cohorts. The cognitively impaired patients showed significantly higher levels of spatial discomfort (i.e., lower scores; Welch’s t-test t-2.58, p < 0.01, Cohen’s d − 0.46), and higher angular deviations in the (cognitively demanding) transformation paradigm of the 3D-RWPT (t 2.37, p 0.02, Cohen’s d 0.44). They preferred retinotopic/egocentric spatial encoding strategies in the pointing task (Welch’s t-test t-2.61, p < 0.01, Cohen’s d − 0.47). In contrast, the self-report of spatial abilities (SBSODS) yielded no significant group differences (t − 1.66, p 0.10) and was not reliably associated with objective accuracy in the pointing task.ConclusionIn patients without vestibular deficits, subjective spatial discomfort (EISOD) correlated with the accuracy in an objective 3D-pointing task for both cohorts, and higher discomfort was associated with more severe cognitive impairment. EISOD-scores showed higher correlation indices than a self-report of spatial skills using the SBSODS. When investigating spatial abilities in patients with suspected cognitive impairment, it appears reasonable that both subjective spatial discomfort, subjective spatial abilities, and objective spatial measures should be combined. Future research in patients with vestibular dysfunction is needed to understand the role of vestibular deficits for the development of spatial orientation discomfort.

Measuring complexity in mega construction projects: fuzzy comprehensive evaluation and grey relational analysis

PurposeMega construction projects (MCPs), characterized by their vast scale, numerous stakeholders and complex management, often face significant uncertainties and challenges. While existing research has explored the complexity of MCPs, it predominantly focuses on qualitative analysis and lacks systematic quantitative measurement methods. Therefore, this study aims to construct a complexity measurement model for MCPs using fuzzy comprehensive evaluation and grey relational analysis.Design/methodology/approachThis study first constructs a complexity measurement framework through a systematic literature review, covering six dimensions of technical complexity, organizational complexity, goal complexity, environmental complexity, cultural complexity and information complexity and comprising 30 influencing factors. Secondly, a fuzzy evaluation matrix for complexity is constructed using a generalized bell-shaped membership function to effectively handle the fuzziness and uncertainty in the assessment. Subsequently, grey relational analysis is used to calculate the relational degree of each complexity factor, identifying their weights in the overall complexity. Finally, the weighted comprehensive evaluation results of project complexity are derived by combining the fuzzy evaluation results with the grey relational degrees.FindingsTo validate the model’s effectiveness, the 2020 Xi’an Silk Road International Conference Center construction project is used as a case study. The results indicate that the overall complexity level of the project is moderate, with goal complexity being the highest, followed by organizational complexity, environmental complexity, technical complexity, cultural complexity and informational complexity. The empirical analysis demonstrates that the model can accurately reflect the variations across different dimensions of MCP complexity and can be effectively applied in real-world projects.Originality/valueThis study systematically integrates research on MCPs complexity, establishing a multidimensional complexity measurement framework that addresses the limitations of previous studies focusing on partial dimensions. Moreover, the proposed quantitative measurement model combines fuzzy comprehensive evaluation and grey relational analysis, enhancing the accuracy and objectivity of complexity measurement while minimizing subjective bias. Lastly, the model has broad applicability and can be used in MCPs across different countries and regions, providing a scientific and effective basis for identifying and managing MCP complexity.

Influence of habituation on pseudo-haptic weight perception of virtual objects

As the demand for realistic sensations in virtual reality (VR) environments escalates, interfaces that exploit cross-modal interactions between vision and haptics are gaining prominence. Pseudo-haptics, offering a tactile illusion without mechanical feedback devices, has emerged as a viable solution to enhance user immersion by simulating various sensations such as texture, fluid resistance, and weight. However, a potential issue in the long-term effectiveness of these illusions, particularly habituation, where the illusion diminishes after prolonged exposure, remains a concern. This study investigates whether habituation to pseudo-haptic weight illusions occurs with extended use. We conducted quantitative measurements of pseudo-haptic weight perception before and after prolonged exposure. The findings indicate a diminishing effect of pseudo-haptic weight illusion with repeated exposure, particularly among participants with high accuracy in weight perception. This study contributes important insights into the design of VR experiences, highlighting the need to consider the habituation effects when implementing pseudo-haptic illusions for weight perception.

Correlation between nova volume flow rate and TOF signal intensity ratio: value in unilateral internal carotid artery occlusion.

Non-invasive optimal vessel analysis quantitative magnetic resonance angiography (NOVA-QMRA) has emerged as a valuable tool to characterize cerebral hemodynamics in intracranial atherosclerotic disease (ICAD). Our aim was to explore the eventual correlation between volume flow rate (VFR) measured via NOVA-QMRA and signal intensity ratio (SIR) of time-of-flight (TOF) MRA in M1- and P2-segments bilaterally in patients with unilateral internal carotid artery (ICA) occlusion. Patients with acute, subacute or chronic unilaterall ICA occlusion receiving NOVA-QMRA between June 2019 and June 2021 were retrospectively included. In bilateral M1- and P2-segments VFR was assessed by means of NOVA-QMRA and a region of interest (ROI) was selected to measure TOF SIR. A correlation between TOF SIR and VFR was tested by means of Pearson correlation coefficient. Mean difference of TOF SIR and VFR between ipsilateral (to occluded ICA) and contralateral M1- and P2-segments was analyzed using a two-sided Welch's t test. Fifty-five patients with unilateral ICA occlusion were included (acute: 28; subacute: 8; chronic: 19). Both ipsilateral (r = 0.536, p < 0.001) and contralateral (r = 0.757, p < 0.001) TOF SIR correlated significantly with NOVA VFR. This observation proved especially true for patients with chronic ICA occlusion. Both VFR (165.18 vs 110.60, p < 0.001) and TOF SIR (4.96 vs 2.70, p < 0.001) were higher in contralateral than ipsilateral M1-segments; whereas, the contrary was observed for P2-segments (VFR 72.35 vs 102.12, p < 0.001, TOF SIR 2.87 vs 3.39, p = 0.016). The study results showed that TOF SIR significantly correlated with phase-contrast derived flow volume in patients with symptomatic ICA occlusion. This correlation remains the same regardless of the stage of the ischemic stroke (acute vs subacute vs chronic). Furthermore, significantly high VFR and TOF SIR in ipsilateral P2-segments may provide evidence of leptomeningeal collateralization in acute patients. Standardly performed TOF SIR Sequences might be of help for a qualitative evaluation of the flow in M1- and P2-segments in patients with unilateral ICA occlusions. NOVA QMRA allows precise quantitative measurements of the flow in cerebral vessels.