Category: Statistics

BMC Psychol. 2024 May 3;12(1):247. doi: 10.1186/s40359-024-01747-0.

ABSTRACT

BACKGROUND, OBJECTIVE AND HYPOTHESES: During emerging adulthood, vocational indecision (i.e., the inability to make coherent career choices) develops in a heterogeneous fashion, with three distinct patterns: low; decreasing (i.e., developmental or adaptative); high and stable or increasing (i.e., chronic or maladaptive). Among the determinants of vocational indecision that have been identified in past research, academic motivation is a crucial an excellent choice, since it is at school that students’ vocational choices are validated or not. According to SDT, this motivation can vary both in quantity and quality, and students tend to experience more positive academic outcomes when their motivational profile is optimal (high quantity, high quality) as opposed to suboptimal (e.g., low quantity, low quality). Thus, the purpose of this longitudinal study was to verify if the patterns found with emerging adulthood students characterized vocational indecision in adolescent students, and if supported, to predict the belonging to the most problematic trajectory by using students’ academic motivational profiles. We expected several distinct trajectories of vocational indecision that would differ in shape and magnitude, and several motivational profiles that vary in quality as well as in quantity. We also expected students in high-quality or quantity motivational profiles to be less likely to follow a chronic indecision trajectory.

METHOD AND RESULTS: Using data from 384 students (56% female; Mage = 13.52 years; SD = .52 at Secondary 2) surveyed annually from Secondary 2 to 5, person-centered analyses enabled estimation of motivational profile in Secondary 2 and vocational indecision trajectories during the 4-year period. Results revealed four distinct patterns of vocational indecision during adolescence labelled Low and Stable, Moderate and Stable, Developmental and Chronic Intermittent. Four motivational profiles were also identified in Secondary 2, ranging from poor (Highly Amotivated) to moderate (Autonomous-Introjected) quality of self-determination level. Also, in reference to the most self-determined profile, students in the Mixed profile were at greatest risk of following Chronically-Intermittently Undecided trajectory. Finally, the most self-determined students were at greatest probability of following the Developmentally Undecided trajectory.

CONCLUSION: Overall, the findings suggest that the student motivational functioning in early secondary school years could be used to identify students at risk of experiencing the negative indecision patterns across secondary school. Several theoretical and practical implications are suggested.

PMID:38702790 | DOI:10.1186/s40359-024-01747-0

J Neurosurg. 2024 May 3:1-8. doi: 10.3171/2024.2.JNS232752. Online ahead of print.

ABSTRACT

OBJECTIVE: Evaluation of the demographic and academic characteristics of current neurosurgery residents may provide prospective students with insight into factors that affect research output. Therefore, this study aimed to evaluate the research output among neurosurgery residents.

METHODS: US neurosurgery residency programs were abstracted from the American Association of Neurological Surgeons website. Demographic data on 1690 current residents across 119 programs were collected using publicly available institutional websites, Doximity, and LinkedIn. The h-index of each resident was recorded using Scopus and exported into the NIH iCite tool to determine the weighted relative citation ratio (w-RCR) and mean relative citation ratio (m-RCR). The total number of publications, h-index, and w-RCR were used as a proxy for research output, while m-RCR was used to measure research impact. One-way ANOVA and Kruskal-Wallis H-tests were used to assess the statistical significance of relationships between demographic data and measures of research activity.

RESULTS: A total of 1690 residents (25.4% female), representing 119 programs, were evaluated. Neurosurgery residents had an average of 17 publications, h-index of 5.5, m-RCR of 1.4, and w-RCR of 16.9, with an upward trend of research activity by postgraduate year (PGY) class. Male residents on average had a greater total number of publications (p < 0.001), higher h-index (p < 0.001), and higher w-RCR (p = 0.002) compared with their female peers. Significant differences in research activity were also observed by degree (Doctor of Medicine [MD], Doctor of Osteopathy [DO], or other), where those with MD and other degrees had higher metrics than those with DO degrees. International medical graduates (IMGs) also had higher research output than American medical graduates (AMGs) (p < 0.001). Differences in all measures of research activity except impact were also observed in research activity when pre-residency medical school ranks were compared.

CONCLUSIONS: The authors observed overall high research activity among neurosurgery residents. Factors such as gender, degree, PGY, IMG/AMG status, and medical school rank may therefore be related to the success of matching within neurological surgery. Although large disparities in gender representation have been identified in neurosurgery, newer classes are trending toward shrinking the gap. These data may be used by prospective residents to gauge changes and progress occurring in the neurosurgery match.

PMID:38701523 | DOI:10.3171/2024.2.JNS232752

Hepatol Commun. 2024 May 3;8(5):e0443. doi: 10.1097/HC9.0000000000000443. eCollection 2024 May 1.

ABSTRACT

BACKGROUND: Frailty is a predictive factor of hospitalization, falls, and mortality in patients with cirrhosis, regardless of the degree of liver failure. The aim was to analyze whether a multifactorial intervention consisting of home-based exercise, branched-chain amino acids, and a multistrain probiotic can improve frailty in these patients.

METHODS: Outpatients with cirrhosis were classified according to the Liver Frailty Index (LFI). Prefrail and frail patients were randomized into 2 groups. The intervention group was assigned to a multifactorial intervention consisting of exercise at home, branched-chain amino acid supplements, and a multistrain probiotic for 12 months. The control group received standard care. All patients were prospectively followed up every 3 months for 1 year to determine LFI, incidence of falls, emergency room visits, hospitalizations, and mortality.

RESULTS: Thirty-two patients were included: 17 patients were assigned to the intervention group and 15 to the control group. In the intervention group, the baseline LFI decreased at 3, 6, 9, and 12 months (p = 0.019 for overall change with respect to the control group). The change in LFI (ΔLFI) at 12 months was -0.71 ± 0.24 in the intervention group and -0.09 ± 0.32 in the control group (p<0.001). During follow-up, patients in the intervention group had a lower 1-year probability of falls (6% vs. 47%, p = 0.03) and emergency room visits (10% vs. 44%, p = 0.04) than patients in the control group.

CONCLUSIONS: A long-term multifactorial intervention that included exercise at home, branched-chain amino acids, and a multistrain probiotic improved frailty in outpatients with cirrhosis and was associated with a decrease in the incidence of clinical events such as falls and emergency room visits.

PMID:38701490 | DOI:10.1097/HC9.0000000000000443

Phys Rev Lett. 2024 Apr 19;132(16):164001. doi: 10.1103/PhysRevLett.132.164001.

ABSTRACT

We study fluctuations of the local energy cascade rate Φ_{ℓ} in turbulent flows at scales (ℓ) in the inertial range. According to the Kolmogorov refined similarity hypothesis (KRSH), relevant statistical properties of Φ_{ℓ} should depend on ε_{ℓ}, the viscous dissipation rate locally averaged over a sphere of size ℓ, rather than on the global average dissipation. However, the validity of KRSH applied to Φ_{ℓ} has not yet been tested from data. Conditional averages such as ⟨Φ_{ℓ}|ε_{ℓ}⟩ as well as of higher-order moments are measured from direct numerical simulations data, and results clearly adhere to the predictions from KRSH. Remarkably, the same is true when considering forward (Φ_{ℓ}>0) and inverse (Φ_{ℓ}<0) cascade events separately. Measured ratios of forward and inverse cascade probability densities conditioned on ε_{ℓ} also confirm the applicability of the KRSH to analysis of the fluctuation relation from nonequilibrium thermodynamics.

PMID:38701479 | DOI:10.1103/PhysRevLett.132.164001

Phys Rev Lett. 2024 Apr 19;132(16):168201. doi: 10.1103/PhysRevLett.132.168201.

ABSTRACT

We study a model chiral fluid in two dimensions composed of Brownian disks interacting via a Lennard-Jones potential and a nonconservative transverse force, mimicking colloids spinning at a given rate. The system exhibits a phase separation between a chiral liquid and a dilute gas phase that can be characterized using a thermodynamic framework. We compute the equations of state and show that the surface tension controls interface corrections to the coexisting pressure predicted from the equal-area construction. Transverse forces increase surface tension and generate edge currents at the liquid-gas interface. The analysis of these currents shows that the rotational viscosity introduced in chiral hydrodynamics is consistent with microscopic bulk mechanical measurements. Chirality can also break the solid phase, giving rise to a dense fluid made of rotating hexatic patches. Our Letter paves the way for the development of the statistical mechanics of chiral particles assemblies.

PMID:38701478 | DOI:10.1103/PhysRevLett.132.168201

Phys Rev Lett. 2024 Apr 19;132(16):160201. doi: 10.1103/PhysRevLett.132.160201.

ABSTRACT

Quantum theory allows information to flow through a single device in a coherent superposition of two opposite directions, resulting into situations where the input-output direction is indefinite. Here we introduce a theoretical method to witness input-output indefiniteness in a single quantum device, and we experimentally demonstrate it by constructing a photonic setup that exhibits input-output indefiniteness with a statistical significance exceeding 69 standard deviations. Our results provide a way to characterize input-output indefiniteness as a resource for quantum information and photonic quantum technologies and enable tabletop simulations of hypothetical scenarios exhibiting quantum indefiniteness in the direction of time.

PMID:38701466 | DOI:10.1103/PhysRevLett.132.160201

JMIR Public Health Surveill. 2024 May 3;10:e52691. doi: 10.2196/52691.

ABSTRACT

BACKGROUND: Structural racism produces mental health disparities. While studies have examined the impact of individual factors such as poverty and education, the collective contribution of these elements, as manifestations of structural racism, has been less explored. Milwaukee County, Wisconsin, with its racial and socioeconomic diversity, provides a unique context for this multifactorial investigation.

OBJECTIVE: This research aimed to delineate the association between structural racism and mental health disparities in Milwaukee County, using a combination of geospatial and deep learning techniques. We used secondary data sets where all data were aggregated and anonymized before being released by federal agencies.

METHODS: We compiled 217 georeferenced explanatory variables across domains, initially deliberately excluding race-based factors to focus on nonracial determinants. This approach was designed to reveal the underlying patterns of risk factors contributing to poor mental health, subsequently reintegrating race to assess the effects of racism quantitatively. The variable selection combined tree-based methods (random forest) and conventional techniques, supported by variance inflation factor and Pearson correlation analysis for multicollinearity mitigation. The geographically weighted random forest model was used to investigate spatial heterogeneity and dependence. Self-organizing maps, combined with K-means clustering, were used to analyze data from Milwaukee communities, focusing on quantifying the impact of structural racism on the prevalence of poor mental health.

RESULTS: While 12 influential factors collectively accounted for 95.11% of the variability in mental health across communities, the top 6 factors-smoking, poverty, insufficient sleep, lack of health insurance, employment, and age-were particularly impactful. Predominantly, African American neighborhoods were disproportionately affected, which is 2.23 times more likely to encounter high-risk clusters for poor mental health.

CONCLUSIONS: The findings demonstrate that structural racism shapes mental health disparities, with Black community members disproportionately impacted. The multifaceted methodological approach underscores the value of integrating geospatial analysis and deep learning to understand complex social determinants of mental health. These insights highlight the need for targeted interventions, addressing both individual and systemic factors to mitigate mental health disparities rooted in structural racism.

PMID:38701436 | DOI:10.2196/52691

Dis Colon Rectum. 2024 May 3. doi: 10.1097/DCR.0000000000003301. Online ahead of print.

ABSTRACT

BACKGROUND: Some guidelines for rectal carcinoma consider 12 cm, measured by rigid endoscopy to be the cutoff tumor height for optional neoadjuvant chemoradiation. Measuring differences of only a few centimeters may therefore predetermine choice of further therapy. However, rigid endoscopy may exhibit similar operator dependence as do most other clinical examination methods.

OBJECTIVES: Evaluation of concordance of rigid rectoscopic tumor height measurements performed by 4 experienced examiners, 2 in lithotomy and 2 in left lateral position. Assessment of tumor palpability and distance of the anal verge to the anocutaneous line were also evaluated.

DESIGN: Prospective observational study.

SETTING: Academic teaching hospital, referral center for colorectal surgery.

PATIENTS: There were 50 patients, of whom were 35 males (70%). The median age was 72.5 years (53-88 years).

MAIN OUTCOME MEASURES: Interrater agreement of tumor height assessment and tumor allocation beneath or beyond the 12-cm height limit.

RESULTS: With an intraclass correlation coefficient of 0.947 (95% CI: 0.918-0.967, p < 0.001), interrater reliability of tumor height assessment was statistically rated “excellent.” Despite this, in 26% of patients, there was no agreement regarding the allocation of the tumor beneath or beyond the 12-cm height limit. Furthermore there was also considerable disagreement concerning tumor palpability and the distance of the anal verge to the anocutaneous line. Patient positioning was not found to influence results.

LIMITATIONS: Single center study.

CONCLUSIONS: Rigid rectal endoscopy may not be a sound pivotal basis for the consideration of optional chemoradiation in rectal carcinoma. Application of a universally valid height limit obviously ignores biological variability in body frame, gender, and acquired pelvic descent. Eligibility for neoadjuvant therapy should not rely on height measurements alone. Uniform MRI or CT imaging protocols, based on agreed terminology, including factors such as tumor height relative to pelvic frame and peritoneal reflection, may be an important diagnostic addition for such decision. See Video Abstract.

CLINICAL TRIAL REGISTRATION: DRKS00012758 (German National Study Registry), ST-D 406 (German Cancer Society).

PMID:38701433 | DOI:10.1097/DCR.0000000000003301

Brief Bioinform. 2024 Mar 27;25(3):bbae197. doi: 10.1093/bib/bbae197.

ABSTRACT

Coverage quantification is required in many sequencing datasets within the field of genomics research. However, most existing tools fail to provide comprehensive statistical results and exhibit limited performance gains from multithreading. Here, we present PanDepth, an ultra-fast and efficient tool for calculating coverage and depth from sequencing alignments. PanDepth outperforms other tools in computation time and memory efficiency for both BAM and CRAM-format alignment files from sequencing data, regardless of read length. It employs chromosome parallel computation and optimized data structures, resulting in ultrafast computation speeds and memory efficiency. It accepts sorted or unsorted BAM and CRAM-format alignment files as well as GTF, GFF and BED-formatted interval files or a specific window size. When provided with a reference genome sequence and the option to enable GC content calculation, PanDepth includes GC content statistics, enhancing the accuracy and reliability of copy number variation analysis. Overall, PanDepth is a powerful tool that accelerates scientific discovery in genomics research.

PMID:38701418 | DOI:10.1093/bib/bbae197

Brief Bioinform. 2024 Mar 27;25(3):bbae200. doi: 10.1093/bib/bbae200.

ABSTRACT

N4-acetylcytidine (ac4C) is a modification found in ribonucleic acid (RNA) related to diseases. Expensive and labor-intensive methods hindered the exploration of ac4C mechanisms and the development of specific anti-ac4C drugs. Therefore, an advanced prediction model for ac4C in RNA is urgently needed. Despite the construction of various prediction models, several limitations exist: (1) insufficient resolution at base level for ac4C sites; (2) lack of information on species other than Homo sapiens; (3) lack of information on RNA other than mRNA; and (4) lack of interpretation for each prediction. In light of these limitations, we have reconstructed the previous benchmark dataset and introduced a new dataset including balanced RNA sequences from multiple species and RNA types, while also providing base-level resolution for ac4C sites. Additionally, we have proposed a novel transformer-based architecture and pipeline for predicting ac4C sites, allowing for highly accurate predictions, visually interpretable results and no restrictions on the length of input RNA sequences. Statistically, our work has improved the accuracy of predicting specific ac4C sites in multiple species from less than 40% to around 85%, achieving a high AUC > 0.9. These results significantly surpass the performance of all existing models.

PMID:38701415 | DOI:10.1093/bib/bbae200