Measurable Outcomes Research Articles

A Contemporary Review of Robotic Resection for Hepatocellular Carcinoma

Background: Robotic hepatectomy represents an appealing treatment modality for resectable hepatocellular carcinoma (HCC). A contemporary review of robotic hepatectomy compared to laparoscopic/open hepatectomy is necessary. Methods: We performed a literature review to identify studies between 2018–2024 comparing robotic to laparoscopic/open hepatectomy for HCC with measurable outcomes. Results: A total of 10 studies were identified, including 943 patients undergoing robotic hepatectomy compared to 1678 patients undergoing laparoscopic/open hepatectomy. Generally, while similar short/long-term survival was noted across all resection modalities, robotic hepatectomy was associated with longer operative time, shorter length of stay, and less post-operative complications. An additional 4 studies were evaluated in the context of HCC, reviewing the prognostic value of robotic hepatectomy margins, robotic hepatectomy in the context of metabolic syndrome, “huge” (>10 cm) HCCs, and robotic hepatectomy vs. microwave ablation. Conclusions: Robotic hepatectomy is a safe alternative to laparoscopic/open hepatectomy for HCC that provides similar oncological/long-term outcomes, while potentially decreasing post-operative complications and length of stay.

Abstract 4134079: Neighborhood-Level Indices of Social Disadvantage and Cardiovascular-Kidney-Metabolic Health

Background: Several area-level indices exist that integrate a variety of social drivers of health. However, whether certain indices better capture neighborhood-level variability in cardiovascular-kidney-metabolic (CKM) outcomes is not well known. Aims: We sought to examine the associations of census tract-level indices of social disadvantage with CKM outcomes. Methods: Exposures for the analysis included seven indices of social disadvantage (ADI, COI, EJI, NDI, SDI, SREI, SVI) based on census tract-level data from the 2010-2019 American Community Survey (ACS) and census tract-level median household income from the 2015-2019 ACS data. Outcomes included the census tract-level prevalence of CKM outcomes (obesity, hypertension, diabetes, hyperlipidemia, chronic kidney disease, coronary heart disease [CHD], and stroke) from the 2019 Behavioral Risk Factor Surveillance System. All indices and median income were standardized, and we used linear regression to examine the associations between each census tract-level social measure and CKM outcomes, adjusted for population size and median age. Next, we calculated the △r 2 in adjusted models for the association of median income with each CKM outcome when each index was added. Results: Among 65,476 US census tracts, median (IQR) population size was 4068 (2969, 5374), age was 39 years (35, 44), and household income was $58,870 (44276, 79802). Median income as well as each index was significantly associated with census tract-level prevalence of each CKM outcome assessed (p < 0.05). The r 2 (Panel A) and △r 2 values (Panel B) varied for each of the social measures and CKM outcomes, with higher r 2 values when each index was individually added to median income compared with income alone. For example, for CHD, the r 2 ranged between 0.39 to 0.67 and △r 2 ranged from 0.01 to 0.10. Conclusions: Neighborhood-level measures of social disadvantage are differentially associated with CKM outcomes, with a large proportion of the variability explained by median income. Identifying the advantages and disadvantages of each index and comparison with median income can inform the prioritization of measures for specific outcomes.

PERANCANGAN SISTEM INFORMASI ANALIS BREAK EVEN POINT DAN STOK PADA BUDIDAYA AYAM POTONG BERBASIS WEB

Although broiler chicken farming offers many benefits, there are also risks of losses, especially when production costs are not accurately recorded, leading to inaccurate per-unit pricing that can harm farmers. To assist farmers in accurately determining the Break Even Point (BEP) price for each chicken, a web-based cost and stock management information system for broiler farming has been developed. To provide a clear and sequential software lifecycle approach, this system was built using the waterfall method, which includes the stages of requirements analysis, design specifications, coding, testing, and maintenance. Each stage produces measurable outcomes before proceeding to the next. The development results indicate that the system successfully records the total production costs, including detailed costs for feed, medicine, operational expenses, and chicken stock. By using the formula BEP = total production cost/number of live chickens, the system achieves accurate pricing for broiler chickens. Based on these findings, future research is suggested to improve the user interface for greater appeal, optimize system accessibility on mobile devices, and integrate this system with other systems.

Learning properties of quantum states without the IID assumption

We develop a framework for learning properties of quantum states beyond the assumption of independent and identically distributed (i.i.d.) input states. We prove that, given any learning problem (under reasonable assumptions), an algorithm designed for i.i.d. input states can be adapted to handle input states of any nature, albeit at the expense of a polynomial increase in training data size (aka sample complexity). Importantly, this polynomial increase in sample complexity can be substantially improved to polylogarithmic if the learning algorithm in question only requires non-adaptive, single-copy measurements. Among other applications, this allows us to generalize the classical shadow framework to the non-i.i.d. setting while only incurring a comparatively small loss in sample efficiency. We leverage permutation invariance and randomized single-copy measurements to derive a new quantum de Finetti theorem that mainly addresses measurement outcome statistics and, in turn, scales much more favorably in Hilbert space dimension.

Evaluating the Effectiveness of Lifestyle Interventions in Preventing Chronic Diseases: A Systematic Review

This systematic review evaluates the effectiveness of lifestyle interventions, including dietary changes, physical activity, smoking cessation, and alcohol reduction, in preventing chronic diseases such as cardiovascular disease, diabetes, and obesity. Chronic diseases pose a significant burden globally, and lifestyle interventions are increasingly recommended to reduce risk factors. A comprehensive search was conducted in databases like PubMed, Cochrane Library, and Embase, focusing on studies published in the past decade. Included studies assessed adult populations at risk of chronic diseases, using interventions targeting lifestyle modifications with measurable health outcomes. Findings indicate that dietary changes and increased physical activity significantly reduce chronic disease risk, while smoking cessation and alcohol reduction further contribute to improved health outcomes. Combination interventions generally showed the most substantial impact on preventing chronic disease. Although the evidence strongly supports lifestyle changes for disease prevention, variations in intervention type, duration, and adherence remain a limitation. Future research should explore long-term effects and implementation strategies in diverse populations. This review underscores the need for integrating effective lifestyle interventions into healthcare policies to improve public health.

PhD-DNP Collaboration: An Integrative Review of Scholarly Partnerships in Nursing.

Nurses holding terminal degrees, Doctor of Philosophy (PhD), Doctor of Nursing Science (DNS), and Doctor of Nursing Practice (DNP), fulfill different roles in nursing. The continued growth of nursing science and practice is dependent on alliances between these nurses that produce state-of-the-art knowledge and support the translation of evidence to practice. This integrative review described characteristics of scholarly collaborations between nurses holding a research-focused degree, the PhD, and those holding a practice-focused degree, the DNP. Five major nursing, medicine, and education databases were searched for peer-reviewed, original articles addressing or describing the characteristics of PhD-DNP scholarly collaborations, published through March 2023. In total, 15 articles met the inclusion criteria, and an integrative synthesis was conducted using constant comparison and thematic analysis. Findings included one overarching theme, Role Clarification, as well as four subthemes that emerged across the sample, describing key characteristics of collaborative PhD-DNP scholarship: (1) Mutual understanding and appreciation of strengths; (2) Strategic project planning and team building; (3) Clear organizational/administrative directives and guidance; and (4) Shared goals for the nursing profession. Articles describing the collaboration between nurses holding doctoral degrees are limited and provide primarily lower-level research evidence and evidence-based practice outcomes. Despite efforts to foster scholarly collaborations among nurses holding terminal degrees, more research is needed to clarify individual roles, offer tangible strategies for collaboration, and measure outcomes of collaboration benefitting healthcare systems, patient outcomes, and the nursing profession. This integrative review involved only the review of the extant literature.

Time Required to Achieve Clinically Significant Outcomes After Anteroinferior Arthroscopic Capsular Release for Shoulder Adhesive Capsulitis.

The specific time required to reach clinically significant outcomes for patient-reported outcome measures (PROMs) after arthroscopic capsular release (ACR) for the treatment of shoulder adhesive capsulitis remains unknown. To determine the time required to achieve the minimal clinically important difference (MCID) and Patient Acceptable Symptom State (PASS) score thresholds after ACR for visual analog scale (VAS) for pain, American Shoulder and Elbow Surgeons score (ASES), Single Assessment Numeric Evaluation (SANE), and Constant score and to identify patient factors associated with delayed achievement of these clinical benchmarks. Case series; Level of evidence, 4. A prospective analysis was performed of patients who underwent ACR for the treatment of idiopathic shoulder adhesive capsulitis between October 2019 and October2020. Patients completed PROMs preoperatively and at 1, 2, 4, 6, and 12 months postoperatively. Threshold values for MCID and PASS were obtained from previous literature for the VAS, ASES, SANE, and Constant scores. A total of 73 patients were included (mean age, 55.5 ± 9.3 years; body mass index [BMI], 26.6 ± 4.6 kg/m2). By 1-year follow-up, the cumulative percentage of patients achieving the MCID and PASS for VAS, ASES, SANE, and Constant scores was 98.6%, 100%, 100%, and 98.6%, and 95.8%, 91.7%, 98.6%, and 84.9%, respectively. The median time required to reach the MCID thresholds for VAS, ASES, SANE, and Constant scores was 1, 1, 2, and 1 month, respectively. The median time required to reach the PASS thresholds for VAS, ASES, SANE, and Constant scores was 4, 4, 4, and 2 months, respectively. Factors associated with delayed achievement of MCID for SANE included higher BMI (hazard ratio [HR], 0.94; 95% CI, 0.88-0.99) and diabetes (HR, 0.49; 95% CI, 0.2-0.99). Age was associated with delayed achievement of the PASS for VAS. Most patients undergoing ACR achieved clinically significant outcomes within a 4-month timeframe. The majority of patients reached MCID thresholds on outcome measures within 1 to 2 months and achieved satisfactory symptom states within 2 to 4 months postoperatively. By delineating the timeline of patient-perceived benefits, these results provide useful data to set appropriate expectations, guide rehabilitation, and optimize outcomes after ACR.

Separation of measurement uncertainty into quantum and classical parts based on Kirkwood–Dirac quasiprobability and generalized entropy

Abstract Measurement in quantum mechanics is notoriously unpredictable. The uncertainty in quantum measurement can arise from the noncommutativity between the state and the measurement basis which is intrinsically quantum, but it may also be of classical origin due to the agent’s ignorance. It is of fundamental as well as practical importance to cleanly separate the two contributions which can be directly accessed using laboratory operations. Here, we propose two ways of decomposition of the total measurement uncertainty additively into quantum and classical parts. In the two decompositions, the total uncertainty of a measurement described by a positive-operator-valued measure (POVM) over a quantum state is quantified respectively by two generalized nonadditive entropies of the measurement outcomes; the quantum parts are identified, respectively, by the nonreality and the nonclassicality—which captures simultaneously both the nonreality and negativity—of the associated generalized Kirkwood–Dirac quasiprobability relative to the POVM of interest and a projection-valued measure and maximized over all possible choices of the latter; and, the remaining uncertainties are identified as the classical parts. Both decompositions are shown to satisfy a few plausible requirements. The minimum of the total measurement uncertainties in the two decompositions over all POVM measurements are given by the impurity of the quantum state quantified by certain generalized quantum entropies, and are entirely classical. We argue that nonvanishing genuine quantum uncertainty in the two decompositions are sufficient and necessary to prove quantum contextuality via weak measurement with postselection. Finally, we suggest that the genuine quantum uncertainty is a manifestation of a specific measurement disturbance.

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