Measurable Outcomes Research Articles

Using Geographic Momentary Assessment to Explore Spatial Environment Influences on Wellbeing in People With HIV.

Place-based socio-economic and racial inequities contribute to health disparities among people with HIV (PWH). We used geographic ecological momentary assessment (GEMA) methodologies to explore the interplay between psychosocial outcomes in daily diaries and community spatial measures among PWH in New Orleans. PWH (N = 69) were recruited from a clinic-based cohort study. Micro-longitudinal data were collected via smartphone-based daily diaries and geospatial tracking over 14 days. First, correlations were run between diary derived outcomes (e.g., feeling safe in current location, stress), and spatial measures (e.g., violent crime, alcohol outlets, and vacant lots) within a half-mile buffer around each diary point to understand the real time associations between mood and space. Next, we fit multilevel models, controlling for between-person effects, to assess within-person associations between accumulative spatial daily violence exposure (50m, 100m and 200m buffers), and measures of daily mood and coping. Violent crime, alcohol outlets and vacant lots were inversely correlated with feeling safe and positively correlated with perceived ease of obtaining drugs. Vacant lots were positively associated with stress and inversely correlated with positive mood. Within individuals, higher daily accumulated violence exposure was associated with increased rumination at the 50m buffer level, decreased trust in oneself and others at the 100m buffer, and decreased ratio of positive/negative mood at all buffers. Our results emphasize the intricate interplay between mental wellness, coping mechanisms, and spatial measures in PWH. Future research and interventions for PWH should consider how spatial factors may influence PWH in terms of mental health and care engagement.

Robust projective measurements through measuring code-inspired observables

Quantum measurements are ubiquitous in quantum information processing tasks, but errors can render their outputs unreliable. Here, we present a scheme that implements a robust projective measurement through measuring code-inspired observables. Namely, given a projective POVM, a classical code, and a constraint on the number of measurement outcomes each observable can have, we construct commuting observables whose measurement is equivalent to the projective measurement in the noiseless setting. Moreover, we can correct t errors on the classical outcomes of the observables’ measurement if the classical code corrects t errors. Since our scheme does not require the encoding of quantum data onto a quantum error correction code, it can help construct robust measurements for near-term quantum algorithms that do not use quantum error correction. Moreover, our scheme works for any projective POVM, and hence can allow robust syndrome extraction procedures in non-stabilizer quantum error correction codes.

Novel analysis of alignment error on spherical Fizeau interferometer and uncertainty evaluation of sphericity calibration system based on random ball test

The National Metrology Institute of Japan (NMIJ) has developed a high-precision sphericity calibration system utilizing a Fizeau interferometer and conducted a thorough evaluation of the system's measurement uncertainty. Generally, there are two principal sources of uncertainty in the measurement outcomes when utilizing a spherical Fizeau interferometer. First, the accuracy of the system is significantly influenced by the prior knowledge of the reference sphere surface's absolute profile. To address this, the study established a straightforward yet effective calibration system for the reference sphere surface using a random ball test method. Second, the system's precision is affected by misalignment aberration, which occurs when there is any lateral or longitudinal displacement of the test sphere from the confocal position relative to the reference sphere. This misalignment can introduce both high-order shape errors (misalignment aberrations) and low-order shape errors (alignment errors). Through analytical consideration of an observation coordinate system on the camera plane, this study delves into misalignment aberrations, suggesting that the impact of misalignment should be determined experimentally for each reference sphere unit due to potential imperfections that may be revealed by misalignment. Furthermore, the study proposes that uncertainties related to misalignment aberrations are theoretically confirmed to be smaller than previous studies by conducting an in-depth uncertainty analysis of the misalignment, with a focus on the observation coordinate system on the camera plane. Notably, the research demonstrates that a measurement uncertainty level of λ/100 is achievable, maintaining a broader tolerance for misalignment than previously reported studies. The uncertainty of calibration of the reference sphere unit's absolute profile was 4.2 nm and the uncertainty of sample measurement was determined to be 4.6 nm with misalignment tolerance of ±λ/10. This advancement marks a stride toward improving the accuracy and reliability of sphericity measurements, offering potential for widespread application in precision engineering and metrology.

Gestational organophosphate esters (OPEs) and executive function in adolescence: The HOME Study

BackgroundEvidence from toxicological studies indicate organophosphate esters (OPEs) are neurotoxic, but few epidemiological studies investigated associations between gestational OPEs and executive function. ObjectiveTo examine the associations between gestational concentrations of OPE urinary metabolites and executive function at 12 years MethodsWe used data from 223 mother-adolescent dyads from the Health Outcomes of Measures of the Environment (HOME) Study. Women provided spot urine samples at 16 weeks gestation, 26 weeks gestation, and at delivery for quantification of bis(1,3-dichloro-2-propyl) phosphate, bis-2-chloroethyl phosphate (BCEP), diphenyl phosphate (DPHP), and di-n-butyl phosphate (DNBP). Executive function was assessed at age 12 years using the parent- and self-report Behavior Rating Inventory of Executive Function (BRIEF2). Covariate-adjusted associations between specific gravity-corrected OPEs and BRIEF2 scores were estimated using multiple informant models. Bayesian Kernel Machine Regression (BKMR) was used to assess the impact of all OPEs simultaneously. ResultsParent- and self-report BRIEF2 indices and composite scores were weakly to moderately correlated (rs=0.32-0.41). A natural-log unit increase in BCEP at 26 weeks was associated with approximately a 1-point increase on the self-report Cognitive Regulation Index [CRI] (95% CI 0.4, 2.3), the Emotion Regulation Index [ERI] (95% CI 0.3, 2.2), and the Global Executive Composite [GEC] (95% CI 0.4, 2.2), indicating poorer performance. Higher DPHP at 16 weeks was associated with lower parent-report GEC score (β=-1.1, 95% CI -2.3, -0.003). BKMR identified BCEP and DNBP at 26 weeks as important contributors to CRI and ERI, respectively. ConclusionOPE metabolites during gestational development, particularly BCEP, may influence adolescent executive function. However, since the FDR p-values failed to reach statistical significance, additional studies would benefit from using larger cohorts.

Treating to target in multiple sclerosis: Do we know how to measure whether we hit it?

The rapidly evolving landscape of effective treatment options in multiple sclerosis has led to a shift of treatment objectives towards a treat-to-target approach aiming to suppress disease activity below the level of detectability early during the disease. To enable treat-to-target, a thorough reappraisal of available outcome measures with respect to their ability in this regard is required. To that end, we conducted a comprehensive systematic literature review of more than 1000 studies using PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) 2020 methodology focusing on underlying evidence as well as utility and implementability in clinical practice. From there, we propose a set of measurable outcomes for everyday routine clinical practice as well as advanced/aspirational measurables requiring additional resources. We also outline remaining knowledge/technology gaps that need to be overcome to enable a treat-to-target approach. This work provides the basis for an evidence-based definition of outcome targets for relevant stakeholders and regulatory authorities.

Outcomes of Providing Children Aged 7-12 Years With Access to Evidence-Based Anxiety Treatment Via a Standalone Digital Intervention Using Immersive Gaming Technology: Real-World Evaluation.

Anxiety disorders are among the most common mental health conditions in childhood, but most children with anxiety disorders do not access evidence-based interventions. The delivery of therapeutic interventions via digital technologies has been proposed to significantly increase timely access to evidence-based treatment. Lumi Nova (BfB Labs Limited) is a digital therapeutic intervention designed to deliver evidence-based anxiety treatment for those aged 7-12 years through a mobile app incorporating immersive gaming technology. We aimed to evaluate the real-world impact of providing access to Lumi Nova through UK National Health Service-funded mental health services. We analyzed precollected anonymized data routinely captured through the implementation of Lumi Nova from children aged 7-12 years, who lived in the United Kingdom and had the opportunity to use the intervention for at least 1 week over an 18-month period. Engagement indices included whether the game key was activated, number of unique sessions, time spent engaging, and number of "challenges" completed. Clinical outcomes were assessed using the Goal-Based Outcomes measure and Child Outcome Rating Scale. Demographic data were analyzed to assess the health equality implications of Lumi Nova. Of 1029 eligible families invited to use Lumi Nova, 644 (62.5%) activated their game key, of whom 374 (58.1%) completed at least one in-game graded exposure challenge. The median number of unique sessions was 6 (IQR 3-12) and the median time spent engaging with the intervention was 42 (IQR 15-79) minutes. For the subset of young people with paired outcomes, there were statistically significant small to medium improvements in goal-based outcome scores (n=224; t223=5.78, P<.001; d=0.37, 95% CI 0.25-0.52) and Child Outcome Rating Scale scores (n=123; t122=5.10, P<.001; d=0.46, 95% CI 0.27-0.65) between the first and last data points. Two in 5 young people's scores reflected a change that would be considered reliable. Analysis of demographic characteristics tentatively suggested that children from ethnic minority backgrounds and those living in the most deprived neighbourhoods may be less likely to access Lumi Nova, but children from socioeconomically deprived areas were more likely to successfully complete a challenge once they accessed the intervention (P=.02). However, the level of missing data and small number of children in some demographic groups limited meaningful statistical comparisons. This study provides initial evidence that Lumi Nova may be associated with improved outcomes for those aged 7-12 years seeking anxiety treatment in real-world settings. However, the lack of a control comparator group and information about concurrent treatments accessed by the young people, in addition to substantial attrition, limited the analysis that could be conducted and confidence in the conclusions drawn.

Single-Shot Fringe Projection Profilometry Based on LC-SLM Modulation and Polarization Multiplexing

Fringe projection profilometry (FPP) is extensively utilized for the 3D measurement of various specimens. However, traditional FPP typically requires at least three phase-shifted fringe patterns to achieve a high-quality phase map. In this study, we introduce a single-shot FPP method based on common path polarization interferometry. In our method, the projected fringe pattern is created through the interference of two orthogonal circularly polarized light beams modulated by a liquid crystal spatial light modulator (LC-SLM). A polarization camera is employed to capture the reflected fringe pattern, enabling the simultaneous acquisition of four-step phase-shifting fringe patterns. The system benefits from advanced anti-vibration capabilities attributable to the common path self-interference optical path design. Furthermore, the utilization of a low-coherence LED light source results in reduced noise levels compared to a laser light source. The experimental results demonstrate that our proposed method can yield 3D measurement outcomes with high accuracy and efficiency.

Social inequalities in child mental health trajectories: a longitudinal study using birth cohort data 12 countries

BackgroundSocial inequalities in child mental health are an important public health concern. Whilst previous studies have examined inequalities at a single time point, very few have used repeated measures outcome data to describe how these inequalities emerge. Our aims were to describe social inequalities in child internalising and externalising problems across multiple countries and to explore how these inequalities change as children age.MethodsWe used longitudinal data from eight birth cohorts containing participants from twelve countries (Australia, Belgium, Denmark, France, Germany, Greece, Italy, Netherlands, Poland, Norway, Spain and the United Kingdom). The number of included children in each cohort ranged from N = 584 (Greece) to N = 73,042 (Norway), with a total sample of N = 149,604. Child socio‐economic circumstances (SEC) were measured using self‐reported maternal education at birth. Child mental health outcomes were internalising and externalising problems measured using either the Strengths and Difficulties Questionnaire or the Child Behavior Checklist. The number of data collection waves in each cohort ranged from two to seven, with the mean child age ranging from two to eighteen years old. We modelled the slope index of inequality (SII) using sex‐stratified multi‐level models.ResultsFor almost all cohorts, at the earliest age of measurement children born into more deprived SECs had higher internalising and externalising scores than children born to less deprived SECs. For example, in Norway at age 2 years, boys born to mothers of lower education had an estimated 0.3 (95% CI 0.3, 0.4) standard deviation higher levels of internalising problems (SII) compared to children born to mothers with high education. The exceptions were for boys in Australia (age 2) and both sexes in Greece (age 6), where we observed minimal social inequalities. In UK, Denmark and Netherlands inequalities decreased as children aged, however for other countries (France, Norway, Australia and Crete) inequalities were heterogeneous depending on child sex and outcome. For all countries except France inequalities remained at the oldest point of measurement.ConclusionsSocial inequalities in internalising and externalising problems were evident across a range of EU countries, with inequalities emerging early and generally persisting throughout childhood.

Surgical and non-surgical predictors of long term erectile function after robot assisted radical prostatectomy.

Robotic-assisted radical prostatectomy (RARP) impairs erectile function (EF) due to the surgical procedure and non-surgical factors. Non-surgical factors may contribute to recovery of erectile function (EFR) after RARP. This study assessed the role of non-surgical factors including physical activity in baseline EF and EFR after prostatectomy. Patient Reported Measure Outcomes questionnaires from patients with localized prostate carcinoma who underwent a RARP with a postoperative follow up (FU) of 3years. EFR was defined as at least 70% EF recovery of baseline IIEF-EF. Physical activities was defined as no activity at all, once a week and ≥ 2 a week. In total 804 patients were included. At baseline, age, lower urinary tract symptoms (LUTS), having a partner and former smoking were significantly associated (p < .001) of EF. Postoperatively, the extent of nerve sparing and baseline EF were strongly associated with EFR (p < .001). Physical activity ≥ 2 a week predicted EF but only beyond 6months of FU (p = .005, p = .028 and p = .007 at 1, 2 and 3year FU respectively). Comorbidities, BMI and the use of medications known to affect EF were not predictive of EFR. Age, LUTS, having a partner and former smoking were baseline associated with EF prior to RARP. Baseline EF and extent of nerve sparing jointly predicted EFR. Intensive physical activity was an independent predictor of EFR beyond the first year after RARP. Our findings suggests that besides clinical factors, lifestyle may also play a role in recovery of erectile function.

An Algebraic Approach to Light–Matter Interactions

AbstractA theoretical and computational framework for the study and engineering of light–matter interactions is reviewed in here. The framework rests on the invariance properties of electromagnetism, and is formalized in a Hilbert space whose conformally invariant scalar product provides connections to physical quantities, such as the energy or momentum of a given field, or the outcome of measurements. The light–matter interaction is modeled by the polychromatic scattering operator, which establishes a natural connection to a popular computational formalism, the transition matrix, or T‐matrix. This review contains a succinct yet comprehensive description of the main theoretical ideas, and illustrates some of the practical benefits of the approach.

A comprehensive framework for evaluating and predicting investment risks in renewable energy projects: a case study of Maynak hydropower station

ABSTRACT This study introduces a holistic analysis framework designed to evaluate and predict the investment risks associated with foreign renewable energy initiatives. This framework aims to reduce the uncertainties inherent in renewable energy projects. To achieve this, we utilize the variable weight matter-element extension model to establish the project’s fundamental reliability function. We then refine this model by incorporating evidence theory to assess the project’s risk level and derive precise risk index measurements. We utilize the GM model to forecast potential future risks associated with the project. In addition, a case study is presented on the risk assessment and prediction for the Maynak Hydropower Station. Our findings reveals that the project encountered significant investment risks in 2008, 2014, 2020, and 2022. Key risk indicators include political turmoil，policy change，imperfect legislation，cultural risk，exchange rate changes，technical risks and management risks. Furthermore, the investment risk level declined from 2023 to 2027, with our risk measurement outcomes closely aligning with actual conditions, thereby validating the effectiveness and applicability of our model.

Multifractality in monitored single-particle dynamics

We study multifractal properties in time evolution of a single particle subject to repeated measurements. For quantum systems, we consider circuit models consisting of local unitary gates and local projective measurements. For classical systems, we consider models for estimating the trajectory of a particle evolved under local transition processes by partially measuring particle occupations. In both cases, multifractal behaviors appear in the ensemble of wave functions or probability distributions conditioned on measurement outcomes after a sufficiently long time. While the nature of particle transport (diffusive or ballistic) qualitatively affects the multifractal properties, they are even quantitatively robust to the measurement rate or specific protocols. On the other hand, multifractality is generically lost by generalized measurements allowing erroneous outcomes or by postselection of the outcomes with no particle detection. We demonstrate these properties by numerical simulations and also propose several simplified models, which allow us to analytically obtain multifractal properties in the monitored single-particle systems. Published by the American Physical Society 2024

Early Neurosurgical Education in the Era of Distant Learning: Incorporating Virtual Reality and Cadaveric Specimen Demonstrations

BackgroundVirtual reality (VR) has emerged as a powerful tool for neuroanatomy education of post-graduated medical trainees. However, its use in early training, such as of undergraduate, medical and physician assistant students, in neurosurgery has not been evaluated. We also have limited insight into how VR may be integrated with traditional teaching methods. MethodsWe created the first of its kind elective course on neuroanatomy for medical students incorporating lecture-style didactics, case-based VR activities and cadaveric dissections. The course ran entirely remotely with each student tuning into class with their own VR headset. We asked the students to self-report their level of confidence with the material and complete knowledge quizzes, which were compared in aggregate between pre- vs post-course, and pre- vs post- each session. Results66.6% of students rated teaching quality of the course as excellent, and 33.3% as satisfactory. Most students (77.7-88.8%) also described the course as having a positive impact on their training. On aggregate analysis, the cohort reported increased levels of confidence in their understanding of neuroanatomy (mean 2.75 vs 5.4, p=0.02), neurosurgical approaches (mean 1.25 vs 5.7, p<0.0001) and the use of VR in neurosurgery (mean 1.5 vs 6.1, p<0.0001). Objectively, the cohort also performed better on post-session assessments, a difference which was statistically significant at p<0.05, in all but the first assessment. ConclusionsIntegration of VR with traditional pedagogical tactics is well received by the learners and contributes to measurable learning outcomes. Our experience informs the future use of VR tools in medical education.

Leveraging Artificial Intelligence In Project-Based Service Learning To Advance Sustainable Development: A Pedagogical Approach For Marketing Education

ABSTRACT Artificial intelligence (AI) has revolutionized various aspects of teaching and learning in higher education, with the potential to significantly enhance learning experiences, streamline administrative tasks, and foster personalized education. As the use of AI by students and instructors expands, it is crucial to carefully consider both its benefits and risks, as well as to adhere to ethical guidelines and best practices. A systematic literature review was conducted to investigate the application of experiential learning theory in marketing education, particularly focusing on the integration of new technologies and tools, such as AI, within project-based service learning (PBSL). This review explores how these integrations may positively impact student learning outcomes, community partner benefits, and contributions toward the United Nations’ Sustainable Development Goals (SDGs). Specifically, the potential of AI in the marketing classroom to advance these goals was examined utilizing the Artificial Intelligence for Service Learning and Experiential Education (AISLE) model. This model advocates for an ethical approach to using AI in educational settings, leveraging theory-based innovative practices to achieve positive, measurable outcomes for both students and community partners.

Novel Method of Measuring Pelvic Floor Muscle Motion May Improve Accessibility of Pelvic Floor Muscle Coordination Training.

Pelvic floor muscle ultrasound is an important clinical tool for improving motor coordination and even strength. Although the gold standard approach involves transperineal probe placement, this is not always feasible with sensitive populations, requires privacy owing to probe placement, and additional sonography training. This article introduces a novel transabdominal method for measuring pelvic floor muscle motion that incorporates a reference point within the bladder. The hypothesis is that the novel measurement will correlate positively with transperineal measurements. A total of 55 women (15 nulliparous, 40 parous; 20 continent, 35 incontinent) performed pelvic floor muscle contraction and strain. Transabdominal ultrasound measured bladder diagonal length (BDL) and transperineal ultrasound measured bladder neck height (BNH), levator plate length (LPL), and levator plate angle (LPA). Spearman's test measured the correlation between the measurement outcomes and an independent t test compared outcomes based on parity and stress urinary incontinence symptom status. Spearman's correlation showed moderate positive correlations between the pelvic floor measurements for both tasks, which reduced slightly when grouping by parity and symptom status. Group differences were significant for BDL during the muscle contraction, factoring in SUI symptoms (p = 0.019) and parity status (p = 0.005) and LPL during contraction, factoring in parity status (p = 0.033). BDL correlates with BNH, LPL, and LPA with slightly reduced correlation when factoring in parity and continence status. The advantages of the method include accessibility for sensitive populations, nontraditional positions due to the anatomical reference point, functional locations due to limited privacy needs, and minimal training required for pelvic floor therapists to incorporate into rehabilitation.

The Mortality of Politics: An American Paradox.

The United States has the poorest health statistics of any high-income country. Political polarization has risen dramatically; newer safety net programs (the Affordable Care Act [ACA]) are unevenly provided because many Republican-leaning states refused expanded Federal coverage. Democratic programs have reduced physician leadership of medicine. Both have been deleterious. Here, we investigated associations among four key health measures two of which directly impact pregnancy outcomes and two that affect all patients by percentage of each state that voted for the Republican versus Democratic candidate in the 2020 presidential election. For each state, we used public, non-partisan databases to assess the incidence of COVID, maternal, and infant mortality per 100,000 population and average life expectancy. Correlations among these four outcome variables and percentage Republican vote were calculated (r), contextualized by measuring associations with related variables including COVID vaccination rates, access to medical care, and incidences of heart disease, obesity, diabetes, gunshot deaths, and automotive fatalities. COVID mortality, maternal and infant mortality, and life expectancy were highly correlated with percentage Republican ("red") vote per state. If "red" states had vaccination rates equivalent to Democratic-leaning ("blue") states, 72,000 deaths could have been avoided. Overall, "red" states have lower health metrics, reduced access to care, and higher comorbidities. The percent Republican vote was strongly associated, but not the whole answer, for worse health outcomes for multiple key measures of public health including mortality, access to care, and various comorbidities. Overall, the ACA has improved patient access to care but has also led to "maternity care deserts" disproportionately in rural areas in "red" states. Translating insurance coverage into improved care and outcomes requires further analysis and will require multi-pronged approaches including expanding coverage and incentivizing quality care.

An evaluation of the efficiency and effectiveness of diagnostic tests for foot and mouth disease: are novel diagnostic tests for FMD more feasible than conventional tests in Southeast Asia?

Foot and mouth disease (FMD) remains endemic in many areas of continental Southeast Asia (SEA). It is responsible for substantial economic losses in the smallholder sector and threatens livelihoods. In recent years, novel diagnostic tests have been developed which reportedly detect FMD virus more effectively and efficiently. This critically appraised topic (CAT) aimed to evaluate the feasibility of these diagnostic tests for FMD in SEA compared to conventional tests. Relevant studies that evaluate diagnostic tests are identified and critically assessed, and recommendations are made on suitable potential diagnostic tests for use in the smallholder sector in SEA. A systematic search of electronic databases (CABI: CAB Abstracts, Web of Science Core Collections) was carried out to identify relevant studies that compared novel and conventional diagnostic tests. The search strategy initially identified 12 papers, of which six fulfilled all the inclusion criteria and were selected for this review. Most of the selected studies had limitations in design and comparability, making it difficult to validly compare the effectiveness and efficiency of the relevant diagnostic tests. These limitations include variation in sample characteristics, methodology, measurable outcomes and the different aspects of the diagnostic tests that each study focused on. Most studies concluded that novel diagnostic tests were more effective and efficient than conventional tests: had greater analytical sensitivity and specificity, were more robust, had a wider range of processable sample types and serotypes, could detect various diseases, had faster testing speeds and provided greater value for money. However, strong recommendations on which specific diagnostic test to rely on could not be made, since there was conflicting evidence and multiple confounding factors. Overall, the evidence found did not entirely apply to the target scenario, being SEA smallholder farms. Recommendations for the target scenario were also made based on the study findings.

A protocol for the systematic review and meta-analysis of clinical trials of interventions to improve sleep in people with mild cognitive impairment or dementia.

Background While sleep disturbance is common in advanced dementia, leading to negative outcomes, there is growing evidence that sleep disturbance begins early in prodromal dementia and may contribute to cognitive decline. Sleep is therefore an important treatment target throughout the natural history of dementia. The existing literature regarding interventions for sleep in people with cognitive impairment is beset by wide heterogeneity in the sleep measurement tools used and outcome measures reported, which limits data synthesis and impedes the development of a robust evidence base for these interventions. Aim We propose to undertake a systematic review and meta-analysis to assess the evidence base from clinical trials for both pharmacological and non-pharmacological interventions to improve sleep in people with cognitive impairment. We will also extract data regarding the sleep measurement tools and outcome measures used in these studies to underpin the development of a core outcome set for future clinical trials in the area. Methods This systematic review and meta-analysis will include randomised and non-randomised controlled clinical trials that assess interventions to improve sleep in participants with mild cognitive impairment or dementia. Medline, CINAHL, PsycINFO, and the Cochrane CENTRAL database will be searched from inception to present. A flow chart will illustrate the study selection process in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) guidelines. The methodological quality and risk of bias of included studies will be assessed. Heterogeneity will be tested. A narrative synthesis will be undertaken where meta-analysis is not feasible. Conclusion This systematic review and meta-analysis will help inform clinical practice by evaluating the available evidence for interventions to improve sleep in people with mild cognitive impairment or dementia. It will also facilitate the development of a core outcome set that will improve the coherence and utility of data emerging from future clinical trials.

Commentary on “Embodiment Consciousness in Music Performance Pedagogy” by Alves and Nogueira

This commentary on Alves and Nogueira (2024) proposes a potential approach to compare expert and non-expert music teachers’ use of embodied teaching strategies in one-to-one lessons with advanced performance students. The approach is hypothesis-driven, and builds on Alves and Nogueira’s theoretical framework of expert competency domains, as well as empirical studies of musical communication and one-to-one teaching strategies. It is argued that a comprehensive definition of embodied teaching strategies should be conceptualized in terms of the quality of teacher–student interactions and the measurable outcomes of those interactions, and that it should account for the wide range of verbal and non-verbal forms of embodied musical communication that arise.

When will Two Agents Agree on a Quantum Measurement Outcome? Intersubjective Agreement in QBism

In the QBist approach to quantum mechanics, a measurement is an action an agent takes on the world external to herself. A measurement device is an extension of the agent and both measurement outcomes and their probabilities are personal to the agent. According to QBism, nothing in the quantum formalism implies that the quantum state assignments of two agents or their respective measurement outcomes need to be mutually consistent. Recently, Khrennikov has claimed that QBism’s personalist theory of quantum measurement is invalidated by Ozawa’s so-called intersubjectivity theorem. Here, following Stacey, we refute Khrennikov’s claim by showing that it is not Ozawa’s mathematical theorem but an additional assumption made by Khrennikov that QBism is incompatible with. We then address the question of intersubjective agreement in QBism more generally. Even though there is never a necessity for two agents to agree on their respective measurement outcomes, a QBist agent can strive to create conditions under which she would expect another agent’s reported measurement outcome to agree with hers. It turns out that the assumptions of Ozawa’s theorem provide an example for just such a condition.