Spearman's Coefficient Research Articles

MOFSynth: A Computational Tool toward Synthetic Likelihood Predictions of MOFs.

In the past decade, high-throughput computational studies of materials have increased significantly mainly due to advances in computer capabilities and have attracted a great deal of interest. In the field of metal-organic frameworks (MOFs), over a million hypothetical MOFs have been designed in silico, yet only a small fraction of these have been synthesized. For validating the computational-hypothetical results and accelerating the progress in the field, there is a pressing need for distinguishing MOFs that are more likely to be synthesized for real-life applications. This study presents a comprehensive investigation into the synthesizability likelihood of MOFs, utilizing a novel computational approach based on the disparities in energy and geometry between the linker conformation within the MOF structure and its isolated, free-gas state since both of these have been proven to be critical factors influencing MOF synthesis. Our user-friendly tool streamlines synthesizability evaluation, requiring minimal expertise in computational chemistry. By deconstructing over 40,000 MOFs from databases, including QMOF, CoRE MOF, and ToBaCCo, we analyze key parameters defining the linker strain within the MOF unit cell. Our results indicate that QMOF and CoRE MOF contain more promising candidates for synthesis, while ToBaCCo exhibits a relatively poor synthesizability likelihood due to unoptimized materials. Through extensive analysis, we identify optimal linker candidates for highly synthesizable MOFs. Consistent trends in energy distribution across databases that are confirmed by high Pearson and Spearman coefficients suggest the potential for omitting optimization calculations, significantly reducing computational costs. This study underscores the importance of linker deformation and energy disparities and enhances our understanding of synthetic accessibility in MOF research, offering valuable insights for future advancements in the field.

Comparison of Breast Sensibility Following Breast Reconstruction with Two Different Techniques: Deep Inferior Epigastric Perforator Flap and Implant

Introduction: Breast sensibility following reconstruction surgery, though often overlooked, holds significant importance due to its widespread occurrence and profound effects on patients’ well-being and safety. The author’s objective is to compare the sensory outcomes between deep inferior epigastric perforator (DIEP) flap microsurgery reconstruction and implant-based reconstruction. Additionally, the potential influence of sociodemographic and clinical factors on sensory recovery is explored, along with assessing temperature discrimination abilities and evaluating quality of life. Material and methods: An ambispective descriptive-analytical study was conducted involving women who underwent mastectomy with reconstruction using either DIEP flap and implants at the author’s hospital between 1990–2021. Data were collected from medical records, patient histories, physical examinations, and validated quality of life questionnaires (BREAST-Q). Spearman’s or Pearson’s correlation coefficients were employed for the analysis of quantitative variables, while the Student’s T test or Mann-Whitney U test were used to compare quantitative and qualitative variables. Results: A total of 99 women with breast reconstruction were included, 47 with DIEP flap and 52 with implants. Sensory recovery in implant-based reconstruction was found to be superior to DIEP flap reconstruction (5.03 and 5.18, respectively; p<0.005). A direct correlation was observed between sensory improvement and thermal discrimination (Spearman coefficient 0.9; p<0.001). Factors such as radiotherapy, delayed reconstruction with DIEP flap, and height with implants were associated with poorer sensory recovery in the breast. Women experiencing better breast sensibility reported higher satisfaction with their surgeon, medical team, and psychosocial quality of life. Conclusion: Women reconstructed with implants or DIEP abdominal flap exhibit suboptimal overall sensory recovery of the reconstructed breast, with slightly better outcomes observed in women reconstructed with implants. The development of novel surgical techniques aimed at enhancing sensibility after breast reconstruction could significantly benefit these patients.

Cycling coupled to intra-coronary thermodilution to evaluate angina with non-obstructive coronary artery disease

Abstract BACKGOUND Patients with Angina and Non-Obstructive Coronary Artery disease (ANOCA) face misdiagnosis and inadequate treatment. A new continuous thermodilution method enables assessment of absolute coronary blood flow (Q) and microvascular resistance (Rµ). The effectiveness of saline-induced hyperemia in capturing exercise-induced coronary flow regulation remains unknown. OBJECTIVE To describe Q and Rµ adaptation during exercise and to explore the correlation between Coronary Flow Reserve (CFR) derived from saline and exercise-induced hyperemia, as well as Microvascular Resistance Reserve (MRR). Methods Q, Rµ, CFR and MRR were first assessed using continuous thermodilution with saline infusion at 10 mL/min (rest) and 20 mL/min (hyperemia) in the left anterior descending artery, followed by subsequent stress testing using a dedicated supine cycling ergometer. The microvascular parameters were assessed during incremental workload of 30 watts every two minutes. CFRsaline<2.5 was considered the cutoff for coronary microvascular dysfunction. A minimal sample size of 29 participants was required to detect a hypothesized Spearman coefficient correlation r=0.5 between CFRsaline and CFRexercise using a 80% power and 5% significance level test. Results Coronary microvascular dysfunction was observed in 53.3% of the participants with suspected ANOCA (16 out of 30). During cycling, participants with coronary microvascular dysfunction had a lower reduction in Rµ (-109 [32; 286] versus -202 [102; 379] WU per 30 watts, p<0.01) and a lower ability to increase coronary flow (7 [30.5; 103.0] versus 21 [5.8; 45.0] mL/min per 30 watts, p=0.01) compared with those without coronary microvascular dysfunction. In the overall population, average CFRsaline and CFRexercise were 2.70±0.90 and 2.85±1.54, respectively (p=0.46) with an agreement classification of 83.3%. A good correlation between the two techniques was observed for both CFR (Spearman coefficient r=0.73, p<0.0001) and MRR (r=0.76, p<0.0001). Monitoring of CFR and Rµ during exercise unmasked functional coronary microvascular dysfunction priorly labeled as normal by saline induced hyperemia in 13.3% of the study population. These individuals had a moderate and late decrease of Rµ during the early stages of exercise, with a plateau up to 75% of their theoretical workload. Conclusion Participants with coronary microvascular dysfunction demonstrated compromised CFR due to impaired reduction of Rµ during physical workload. Saline-induced hyperemia provided a valid surrogate for exercise physiology independently of the absolute level of CFR and MRR, although exercise provided more granularity to evaluate hemodynamic adaptation among participants with functional dysfunction.

State of Health Estimation of Lithium-Ion Batteries Using Fusion Health Indicator by PSO-ELM Model

The accurate estimation of the State of Health (SOH) of lithium-ion batteries is essential for ensuring their safe and reliable operation, as direct measurement is not feasible. This paper presents a novel SOH estimation method that integrates Particle Swarm Optimization (PSO) with an Extreme Learning Machine (ELM) to improve prediction accuracy. Health Indicators (HIs) are first extracted from the battery’s charging curve, and correlation analysis is conducted on seven indirect HIs using Pearson and Spearman coefficients. To reduce dimensionality and eliminate redundancy, Principal Component Analysis (PCA) is applied, with the principal component contributing over 94% used as a fusion HI to represent battery capacity degradation. PSO is then employed to optimize the weights (ε) between the input and hidden layers, as well as the hidden layer bias (u) in the ELM, treating these parameters as particles in the PSO framework. This optimization enhances the ELM’s performance, addressing instability issues in the standard algorithm. The proposed PSO-ELM model demonstrates superior accuracy in SOH prediction compared with ELM and other methods. Experimental results show that the mean absolute error (MAE) is 0.0034, the mean absolute percentage error (MAPE) is 0.467%, and the root mean square error (RMSE) is 0.0043, providing a valuable reference for battery safety and reliability assessments.

Impaired right ventricular strain is associated with worse prognosis in patients with liver cirrhosis

Abstract Introduction Cirrhotic cardiomyopathy is a complication of liver cirrhosis accounting for significant morbidity and associated with reduced patient survival. It is characterized by reduced afterload, increased cardiac output, and diastolic dysfunction. However, there are limited data regarding the prognostic significance of right ventricular (RV) mechanics. Novel echocardiographic techniques such as speckle tracking echocardiography can detect subclinical myocardial dysfunction early in the course of non-ischemic myocardiopathies. Purpose To investigate the prognostic role of RV free wall strain (RVFWS) in patients with liver cirrhosis. Methods We prospectively enrolled 70 patients with liver cirrhosis in stable clinical condition. Patients with coronary artery disease, valvular heart disease, ongoing alcohol consumption or poor acoustic window were excluded from the study. Transthoracic echocardiography was performed and RVFWS was calculated from RV focused 4-chamber views using a dedicated software. Since RVFWS was as expected negative in all patients, absolute values were used for all calculations. Clinical and laboratory examination was also performed in all patients and the Model for End-Stage Liver Disease (MELD) score a widely used tool for assessing liver disease severity was calculated. All-cause mortality at 24 months was the primary endpoint and was available in all patients. Results Mean RVFWS in the cohort was 27.4±6.3% and using a lower normal limit of 20%, reduced RVFWS was detected in six patients. According to the Spearman coefficient analysis, RVFWS was correlated with MELD (rho=0.274, p=0.023) indicating increased values in patients with more advanced liver disease. According to the univariate Cox-regression proportion hazard models RVFWS as a continuous variable was not significantly correlated with worse two year survival (HR: 1.01 (0.95-1.08, p=0.658). Interestingly, among conventional echocardiographic parameters basal RV diameter (p=0.004) and right atrial end-systolic area (p=0.008) were associated with increased risk for the primary endpoint. The association of the primary endpoint with other parameters of RV systolic function was also not statistically significant. The Multivatiate Cox Regression survival analysis, which incorporated age, sex, MELD, hemoglobin, systolic blood pressure and cardiac output, showed that among echocardiographic parameters for the evaluation of the RV, only RVFWS showed a tendency to be associated with worse survival (p=0.062). When patients were stratified into tertiles according to RVFWS values, those in the first tertile (with lower absolute RVFWS values) had significantly increased hazard for the primary endpoint (HR: 5.82, 2.18-15.8, P<0.001) (figure 1). Conclusions RVFWS values are within normal limits in most patients with liver cirrhosis. When adjusted for the severity of the liver disease, reduced RVFWS values are associated with worse prognosis in cirrhotics.

Microbial and Transcriptomic Landscape Associated With Neutrophil Extracellular Traps in Perianal Fistulizing Crohn's Disease.

Perianal fistulizing Crohn's disease (pfCD) poses significant healing challenges, closely associated with neutrophil extracellular traps (NETs). This study aimed to investigate the microbe-host interactions influencing NETs in pfCD. From January 2019 to July 2022, patients with pfCD were screened at Ren Ji Hospital. Patients in remission following comprehensive treatment were recruited. We documented clinical characteristics, medication regimens, healing outcomes, and infliximab levels in fistula tissues. NET positivity was confirmed by positive results in citrullinated histone H3 (CitH3) enzyme-linked immunosorbent assay (ELISA) and dual immunofluorescence staining for myeloperoxidase and CitH3. Microbial and transcriptomic profiles from fistula tissues, obtained during surgery, were analyzed using 16S rRNA gene sequencing and RNA sequencing. Differences in microbiome and transcriptomic profiles were evaluated, and their relationships were assessed using Mantel's and Spearman's coefficients. Significant differences in microbial communities were found between groups (P = .007). Representatively differential microbes such as Prevotella bivia, Streptococcus gordonii, and Bacteroides dorei were enriched in NETs-positive fistulas (P < .05). Functional analysis of microbes revealed reduced ubiquinol biosynthesis and butanoate production in NETs-negative fistulas (P < .05). Transcriptomic analysis indicated increased neutrophil and monocyte infiltration in NETs-positive fistulas, associated with pathways involving bacterial response, neutrophil chemotaxis, secretory processes, and peptidase activity (P < .05). Species prevalent in NETs-positive fistulas correlated positively with immune responses and wound healing pathways, whereas bacteria in NETs-negative fistulas correlated negatively. NETs were negatively associated with tissue infliximab levels (P = .001) and healing outcomes (P = .025). Our findings reveal unique microbial and transcriptomic signatures associated with NETs in pfCD, highlighting their profound influence on clinical outcomes.

NMR Insights into Lipoprotein Particles: analyzing correlations with traditional lipid measurements

Abstract Introduction Lipid metabolism plays a crucial role in various physiological processes. Lipid molecules are transported by lipoproteins, and the intricate involvement of lipoproteins in cardiovascular disease (CVD) is well-established, given their diverse size, density, and lipid composition. The emergence of Nuclear Magnetic Resonance (NMR) spectroscopy, a high-resolution analytical technique, promotes the assessment of lipoprotein particle numbers and sizes. Studies suggest that the measurement of total low-density lipoprotein particle numbers (LDL-P), small LDL-P (SLDL-P), and total high-density lipoprotein particle numbers (HDL-P) provides better evaluation of risk of CVD than enzymatic-based measurements of LDL cholesterol (LDL-C) and HDL cholesterol (HDL-C). Our study examined the correlation between NMR-derived lipoprotein profiles and traditional cholesterol measurements in control and patient populations. Methods Fasting serum samples were collected from healthy male and female donors (n=148), ages 21-64 years. The analysis also included the results from &amp;gt;20,000 patients’ samples submitted to our laboratory for NMR lipid testing. We assessed LDL-P, SLDL-P, HDL-P, large HDL (LHDL-P), and HDL size (HDL-S) by NMR. In addition, total cholesterol (TC) and HDL-C were measured using traditional automated enzymatic assays (Roche Diagnostics); LDL-C was calculated. Statistical analyses, including Spearman correlation, were performed using GraphPad Prism software. Spearman coefficient (r) ≥0.75 indicated a strong correlation, r &amp;lt;0.5 indicated a weak correlation. Results HDL-C only moderately correlated with total HDL-P in samples collected from controls (rcontrols=0.52) and patients (rpatients=0.68), while showing better correlation with LHDL-P (rcontrols=0.90, rpatients=0.89). Traditional LDL-C strongly correlated with total LDL-P (rcontrols=0.76, rpatients=0.81), but showed only weak correlation with SLDL-P (rcontrols=0.42, rpatients=0.28), which is considered more atherogenic and predictive of CVD risk than LDL-C or total LDL-P. Interestingly, among various lipoprotein parameters, SLDL-P correlated the strongest with HDL-S in both study populations (rcontrols=-0.87, rpatients=-0.84). Samples with higher number of SLDL-P also had smaller size of HDL-P, although the number of total HDL-P did not differ between high vs low SLDL-P samples. In contrast, only moderate negative correlation was observed between SLDL-P and traditional HDL-C (rcontrols=-0.74, rpatients=-0.68), suggesting that the size of HDL particles might add value in evaluating CVD risk. Conclusion The NMR technology has advantage over traditional measurements in stratifying an individual’s lipoprotein milieu. It provides insights into the number of small LDL particles and size of HDL particles, which are not included in standard lipid testing and may allow for more individualized patient care. Incorporation of lipoprotein size and particle number in clinical guidelines may help physicians with assessment CVD risk and treatment monitoring.

Multicenter Validation of the English Version of the Dépistage Cognitif de Québec: a Cognitive Screening Tool for Atypical Dementias.

Early detection of atypical dementia remains difficult partly because of the absence of specific cognitive screening tools. This creates undue delays in diagnosis and management. The Dépistage Cognitif de Québec (DCQ; dcqtest.org) was developed in French and later validated in participants with atypical syndromes. We report the validation of the English version. This multicentre prospective validation study was conducted in 10 centers across Canada and the United States on 260 English-speaking participants aged over 50. We translated and modified the original French DCQ to add targeted stimuli to the Visusopatial Index and social cognition vignettes to the Behavioral Index. A backward translation was performed and equivalence between languages was assessed by administering both tests to 30 bilingual participants. Mean DCQ total score (out of 100) was 95.0 (SD = 3.6). Spearman's correlation coefficient showed a strong and significant correlation (r = 0.49, p < .001) with the Montreal Cognitive Assessment. Test-retest reliability was good (Spearman's coefficient = 0.72, p < .001) and interrater reliability, excellent (intraclass correlation = 0.97, p < .001). Normative data shown in percentiles were stratified by age and education for a population-based sample of 260 English-speaking controls aged between 50 and 87years old. Similar to the French version, the English DCQ proved to be a valid cognitive screening test. The original version was very sensitive to detect atypical dementias such as primary progressive aphasias, Alzheimer's disease' variants and syndromes along the frontotemporolobar degeneration spectrum. This 20-min test can be administered à la carte and offers an alternative to detailed comprehensive neuropsychological evaluations.

Correlation between voice intensity and swallowing function in subjects with Parkinson's disease.

People with Parkinson's Disease (PD) experience reduced voice intensity and dysphagia. Organs related to voice production and swallowing are structurally and neurologically intertwined. Thus, instrumental voice assessment may be useful in identifying voice impairments that can show swallowing disorders. Timely assessment of swallowing disorders may prevent the occurrence of malnutrition, dehydration, pneumonia, and death. The aim of this study was to investigate the relationship between voice intensity and swallowing function in PD. 30 participants with PD were recruited. Motor disability was evaluated by the Unified Parkinson's Disease Rating Scale part III; voice intensity was assessed by PRAAT software during sustained /a/ and 1min of monologue. The Penetration Aspiration Scale, the Dysphagia Outcome Severity Scale, and the Videofluoroscopic Dysphagia Scale were used to assess swallowing during videofluoroscopy. Spearman correlation coefficients, logistic, and linear models were used to analyze data. Voice intensity correlated with swallowing: as voice intensity decreased, swallowing function deteriorated (Spearman coefficients from -0.42 to -0.72 across scales), and this holds even when adjusted for MDS-UPDRS motor scores. Swallowing impairment is 56 times more likely (p<0.01) when the voice intensity is below the normal cut-off score (60 dB) with a positive predictive value of 93%. Reduction in voice intensity is indicative of a higher risk of swallowing dysfunction. Thus, an instrumental voice analysis seems to be a non-invasive, lowcost, easy-to-use tool to identify people with PD in need of an assessment to allow for timely swallowing management and reduction of complications caused by dysphagia.

Correlational analysis of internal control and inventory management in commercial SMEs of Chimbote

The study aims to determine the relationship between internal control and inventory management in micro and small enterprises (SMEs) of Chimbote. A quantitative approach with a correlational design was adopted, and the sample consisted of 160 SMEs, using structured questionnaires on a Likert scale to collect data. Spearman's Rho coefficient was used to find the levels of association. The results indicated a moderate positive correlation (0.623) between internal control and inventory management, highlighting the importance of dimensions such as the control environment and supervision. However, it was found that only 37.5% of SMEs manage their inventories efficiently, revealing areas for improvement in demand forecasting and inventory policies. In conclusion, strengthening internal control and optimizing inventory management practices are essential strategies for SMEs in Chimbote to optimize their resources, reduce costs, and increase their competitiveness in a globalized and demanding market, thus promoting their sustainability and long-term growth.

A sensitive immunoassay for the quantitation of Pig-MAP in pig saliva samples

The purpose of the study is to develop a sensitive assay for the proper quantification of the acute phase protein Pig-MAP in pig saliva samples. A time-resolved immunofluorometric assay (TR-IFMA) was developed using two pig-MAP-specific monoclonal antibodies. The limit of detection of the assay was 4 ng/mL, enough to measure pig-MAP concentration in saliva. Precision was evaluated for saliva samples of low, medium and high concentration, with inter assay CV of 4–14 % and inter-assay CV of 8–20 %. The assay kept linearity under dilution and a method comparison study performed with serum samples showed good correlation with ELISA. Median Pig-MAP concentration in saliva from healthy animals was 19 ng/mL whereas in pigs with different inflammatory conditions was 11 times higher. In the same animals median pig-MAP serum concentrations were 0.72 mg/mL in the healthy group and 4.61 in the diseased group. The Spearman coefficient of correlation between Pig-MAP concentration in serum and saliva was of 0.72. A correlation was also observed between the salivary concentration of pig-MAP and other two acute phase proteins such as haptoglobin (r = 0.62) or C-reactive protein (r = 0.65). The concentration of Pig-MAP in saliva of pigs with severe respiratory disease decreased significantly from a median value of 128 ng/mL at the time of disease detection to 8 ng/mL after 1 day of antibiotic therapy. Studies performed show that pig-MAP is present in saliva and this specimen may be an alternative to serum for pig-MAP quantification.

Exploring uncatalogued genetic variation in antimicrobial resistance gene families in Escherichia coli: an observational analysis

Antimicrobial resistance (AMR) in Escherichia coli is a global problem associated with substantial morbidity and mortality. AMR-associated genes are typically annotated based on similarity to variants in a curated reference database, with the implicit assumption that uncatalogued genetic variation within these is phenotypically unimportant. In this study, we evaluated the performance of the AMRFinder tool and, subsequently, the potential for discovering new AMR-associated gene families and characterising variation within existing ones to improve genotype-to-susceptibility phenotype predictions in Ecoli. In this cross-sectional study of international genome sequence data, we assembled a global dataset of 9001 Ecoli sequences from five publicly available data collections predominantly deriving from human bloodstream infections from: Norway, Oxfordshire (UK), Thailand, the UK, and Sweden. 8555of these sequences had linked antibiotic susceptibility data. Raw reads were assembled using Shovill and AMR genes (relevant to amoxicillin-clavulanic acid, ampicillin, ceftriaxone, ciprofloxacin, gentamicin, piperacillin-tazobactam, and trimethoprim) extracted using the National Center for Biotechnology Information AMRFinder tool (using both default and strict [100%] coverage and identity filters). We assessed the predictive value of the presence of these genes for predicting resistance or susceptibility against US Food and Drug Administration thresholds for major and very major errors. Mash was used to calculate the similarity between extracted genes using Jaccard distances. We empirically reclustered extracted gene sequences into AMR-associated gene families (≥70% match) and antibiotic-resistance genes (ARGs; 100% match) and categorised these according to their frequency in the dataset. Accumulation curves were simulated and correlations between gene frequency in the Oxfordshire and other datasets calculated using the Spearman coefficient. Firth regression was used to model the association between the presence of blaTEM-1 variants and amoxicillin-clavulanic acid or piperacillin-tazobactam resistance, adjusted for the presence of other relevant ARGs. The performance of the AMRFinder database for genotype-to-phenotype predictions using strict 100% identity and coverage thresholds did not meet US Food and Drug Administration thresholds for any of the seven antibiotics evaluated. Relaxing filters to default settings improved sensitivity with a specificity cost. For all antibiotics, most explainable resistance was associated with the presence of a small number of genes. There was a proportion of resistance that could not be explained by known ARGs; this ranged from 75·1% for amoxicillin-clavulanic acid to 3·4% for ciprofloxacin. Only 18 199 (51·5%) of the 35 343ARGs detected had a 100% identity and coverage match in the AMRFinder database. After empirically reclassifying genes at 100% nucleotide sequence identity, we identified 1042unique ARGs, of which 126 (12·1%) were present ten times or more, 313 (30·0%) were present between two and nine times, and 603 (57·9%) were present only once. Simulated accumulation curves revealed that discovery of new (100% match) ARGs present more than once in the dataset plateaued relatively quickly, whereas new singleton ARGs were discovered even after many thousands of isolates had been included. We identified a strong correlation (Spearman coefficient 0·76 [95% CI 0·73-0·80], p<0·0001) between the number of times an ARG was observed in Oxfordshire and the number of times it was seen internationally, with ARGs that were observed six times in Oxfordshire always being found elsewhere. Finally, using the example of blaTEM-1, we showed that uncatalogued variation, including synonymous variation, is associated with potentially important phenotypic differences; for example, two common, uncatalogued blaTEM-1 alleles with only synonymous mutations compared with the known reference were associated with reduced resistance to amoxicillin-clavulanic acid (adjusted odds ratio 0·58 [95% CI 0·35-0·95], p=0·031) and piperacillin-tazobactam (0·50 [95% CI 0·29-0·82], p=0·005). We highlight substantial uncatalogued genetic variation with respect to known ARGs, although a relatively small proportion of these alleles are repeatedly observed in a large international dataset suggesting strong selection pressures. The current approach of using fuzzy matching for ARG detection, ignoring the unknown effects of uncatalogued variation, is unlikely to be acceptable for future clinical deployment. The association of synonymous mutations with potentially important phenotypic differences suggests that relying solely on amino acid-based gene detection to predict resistance is unlikely to be sufficient. Finally, the inability to explain all resistance using existing knowledge highlights the importance of new target gene discovery. National Institute for Health and Care Research, Wellcome, and UK Medical Research Council.

The Dunning‒Kruger effect in resident predicted and actual performance on the American Board of Emergency Medicine in-training examination.

The Dunning-Kruger effect (DKE) is a cognitive bias wherein individuals who are unskilled overestimate their abilities, while those who are skilled tend to underestimate their capabilities. The purpose of this investigation is to determine if the DKE exists among American Board of Emergency Medicine (ABEM) in-training examination (ITE) participants. This is a prospective, cross-sectional survey of residents in Accreditation Council for Graduate Medical Education (ACGME)-accredited emergency medicine (EM) residency programs. All residents who took the 2022 ABEM ITE were eligible for inclusion. Residents from international programs, residents in combined training programs, and those who did not complete the voluntary post-ITE survey were excluded. Half of the residents taking the ITE were asked to predict their self-assessment of performance (percent correct), and the other half were asked to predict their performance relative to peers at the same level of training (quintile estimate). Pearson's correlation (r) was used for parametric interval data comparisons and a Spearman's coefficient (ρ) was determined for quintile-to-quintile comparisons. A total of 7568 of 8918 (84.9%) residents completed their assigned survey question. A total of 3694 residents completed self-assessment (mean predicted percentage correct 67.4% and actual 74.6%), with a strong positive correlation (Pearson's r 0.58, p<0.001). There was also a strong positive correlation (Spearman's ρ 0.53, p<0.001) for the 3874 residents who predicted their performance compared to peers. Of these, 8.5% of residents in the first (lowest) quintile and 15.7% of residents in the fifth (highest) quintile correctly predicted their performance compared to peers. EM residents demonstrated accurate self-assessment of their performance on the ABEM ITE; however, the DKE was present when comparing their self-assessments to their peers. Lower-performing residents tended to overestimate their performance, with the most significant DKE observed among the lowest-performing residents. The highest-performing residents tended to underestimate their relative performance.

Validation of computer vision technology for analyzing bradykinesia in outpatient clinic videos of people with Parkinson's disease

BackgroundCurrent diagnosis and monitoring of Parkinson's disease (PD) is based on subjective clinical assessments. Objective measures of motor functioning could support clinical acumen. Computer vision (CV) technology is a promising contactless technique but requires further validation. AimTo investigate the performance of CV analysis of clinic-based videos of finger-tapping. Our goals were (i) to distinguish PD from healthy controls (HC), when compared to human raters, (ii) to measure the severity of bradykinesia, and (iii) detect ON/OFF medication state. MethodsVideos of thirty-one persons with PD and forty-nine HC were collected during clinical outpatient visits. Videos were analysed using CV to produce speed, amplitude, rhythm and composite bradykinesia measures. All videos were independently rated by three raters using the Movement Disorder Society Unified Parkinson's Disease Rating Scale (MDS-UPDRS) and Modified Bradykinesia Rating Scale (MBRS). Twenty video pairs were conducted in ON and OFF states. Classification accuracy for PD/HC state and ON/OFF state were measured using the Area under Receiver Operating characteristic curve and a confusion matrix. CV and clinical measures were correlated using Spearman coefficients. ResultsCV classified disease state with higher accuracy than clinical raters (91 % sensitivity; 97 % specificity). CV measures of bradykinesia correlated significantly with clinical ratings: R = 0.740 for MDS-UPDRS, 0.715 for MBRS speed, 0.714 for amplitude and 0.504 for rhythm. CV classified ON/OFF state as accurately as clinical raters. DiscussionCV can provide a valid, objective and contactless bradykinesia assessment based on clinically collected videos, which offers promise as a new clinical outcome, including in remote settings.

Gravitational collapse at low to moderate Mach numbers: The relationship between star formation efficiency and the fraction of mass in the massive object

The formation of massive objects via gravitational collapse is relevant both for explaining the origin of the first supermassive black holes and in the context of massive star formation. Here, we analyze simulations of the formation of massive objects pursued by different groups and in various environments, concerning the formation of supermassive black holes, primordial stars, as well as present-day massive stars. We focus here particularly on the regime of small virial parameters, that is, low ratios of the initial kinetic to gravitational energy, low to moderate Mach numbers, and the phase before feedback is very efficient. We compare the outcomes of collapse under different conditions using dimensionless parameters, particularly the star formation efficiency є*, the fraction ƒ* of mass in the most massive object relative to the total stellar mass, and the fraction ƒtot of mass of the most massive object as a function of the total mass. We find that in all simulations analyzed here, ƒtot increases as a function of є*, although the steepness of the increase depends on the environment. The relation between ƒ* and є* is found to be more complex and also strongly depends on the number of protostars present at the beginning of the simulations. We show that a collision parameter, estimated as the ratio of the system size divided by the typical collision length, allows us to approximately characterize whether collisions are important. A high collision parameter implies a steeper increase in the relation between ƒtot and є*. We analyze the statistical correlation between the dimensionless quantities using the Spearman coefficient and further confirm via a machine learning analysis that good predictions of ƒ* can be obtained from є* together with a rough estimate of the collision parameter. This suggests that a good estimate of the mass of the most massive object can be obtained once the maximum efficiency for a given environment is known and an estimate for the collision parameter has been determined.

Cross-Cultural Adaptation, Feasibility, Reliability, and Validity Tests of the Chinese Version of Ankle Ligament Reconstruction-Return to Sport After Injury Scale.

The Ankle Ligament Reconstruction-Return to Sport After Injury (ALR-RSI) scale can be utilized for assessing patients who have previously sustained lateral ankle ligament injury before returning to sport. Given its original development for use in different languages, it is essential to translate and validate this scale for application to the Chinese population. To translate and culturally adapt the ALR-RSI scale into a Chinese version and assess its reliability and validity. Cohort study (Diagnosis); Level of evidence, 2. The procedure of translation and cross-cultural adaptation was performed following the recommended guidelines and the Chinese version of ALR-RSI (ALR-RSI-CHN) was conducted in patients with lateral ankle ligament surgery. Feasibility was assessed by floor/ceiling effects. Reliability was assessed by using Cronbach α as a measure to analyze internal consistency, while the intraclass correlation coefficient was utilized to examine test-retest reliability. Validity was assessed by using Spearman coefficients to analyze the correlations between ALR-RSI-CHN, the Karlsson scale, and the American Orthopaedic Foot and Ankle Society (AOFAS) scale. A total of 66 participants were included. The ALR-RSI-CHN scale showed good feasibility with no floor/ceiling effects. The internal consistency of the scale was adequate with a Cronbach α of 0.93, and test-retest reliability was excellent with an interclass correlation coefficient of 0.97 (95% CI, 0.92-0.99). The ALR-RSI-CHN scale demonstrated moderate correlation with the Karlsson scale (r = 0.48 [range, 0.26-0.65]) and strong correlation with the AOFAS scale (r = 0.55 [range, 0.35-0.71]). A significant difference in ALR-RSI-CHN scores was observed between patients who returned to sports and those who did not, with respective scores of 53.60 (range, 44.50-62.69) and 42.25 (range, 35.51-49) (P = .04). The study demonstrated that the ALR-RSI-CHN scale had satisfactory psychometric properties, rendering it a feasible, reliable, and valid instrument for evaluating patients who have lateral ligament surgery in China.

Hospital Heart Failure Medical Therapy Score and Associated Clinical Outcomes and Costs.

A composite score for guideline-directed medical therapy (GDMT) for patients with heart failure (HF) is associated with increased survival. Whether hospital performance according to a GDMT score is associated with a broader array of clinical outcomes at lower costs is unknown. To evaluate hospital variability in GDMT score at discharge, 90-day risk-standardized clinical outcomes and costs, and associations between hospital GDMT score and clinical outcomes and costs. This was a retrospective cohort study conducted from January 2015 to September 2019. Included for analysis were patients hospitalized for HF with reduced ejection fraction (HFrEF) in the Get With the Guidelines-Heart Failure Registry, a national hospital-based quality improvement registry. Study data were analyzed from July 2022 to April 2023. GDMT score at discharge. Hospital variability in GDMT score, a weighted index from 0 to 1 of GDMT prescribed divided by the number of medications eligible, at discharge was evaluated using a generalized linear mixed model using the hospital as a random effect and quantified with the adjusted median odds ratio (AMOR). Parallel analyses centering on 90-day mortality, HF rehospitalization, mortality or HF rehospitalization, home time, and costs were performed. Costs were assessed from the perspective of the Centers of Medicare & Medicaid Services. Associations between hospital GDMT score and clinical outcomes and costs were evaluated using Spearman coefficients. Among 41 161 patients (median [IQR] age, 78 [71-85] years; 25 546 male [62.1%]) across 360 hospitals, there was significant hospital variability in GDMT score at discharge (AMOR, 1.23; 95% CI, 1.21-1.26), clinical outcomes (mortality AMOR, 1.17; 95% CI, 1.14-1.24; HF rehospitalization AMOR, 1.22; 95% CI, 1.18-1.27; mortality or HF rehospitalization AMOR, 1.21; 95% CI, 1.18-1.26; home time AMOR, 1.07; 95% CI, 1.06-1.10) and costs (AMOR, 1.23; 95% CI, 1.21-1.26). Higher hospital GDMT score was associated with lower hospital mortality (Spearman ρ, -0.22; 95% CI, -0.32 to -0.12; P < .001), lower mortality or HF rehospitalization (Spearman ρ, -0.17; 95% CI, -0.26 to -0.06; P = .002), more home time (Spearman ρ, 0.14; 95% CI, 0.03-0.24; P = .01), and lower cost (Spearman ρ, -0.11; 95% CI, -0.21 to 0; P = .047) but not with HF rehospitalization (Spearman ρ, -0.10; 95% CI, -0.20 to 0; P = .06). Results of this cohort study reveal that hospital variability in GDMT score, clinical outcomes, and costs was significant. Higher GDMT score at discharge was associated with lower mortality, lower mortality or hospitalization, more home time, and lower cost. Efforts to increase health care value should include GDMT optimization.

The Association between Dental Caries, Periodontal Status, and Sleep Patterns in Children.

Sleep quality has a significant impact on children's overall health and is associated with oral diseases. This study aimed to investigate the relationship between dental caries, periodontal status, and sleep patterns in 8-12-year-old children. This cross-sectional study was conducted on 120 children aged 8-12 years. The children's sleep habits questionnaire (CSHQ) was employed to evaluate sleep status. Another questionnaire was used to collect data on lifestyle habits. Dental caries status was evaluated using the decayed, missing, and filled teeth (DMFT) and International Caries Detection and Assessment System (ICDAS) indices. Periodontal status was assessed through the plaque index (PI), probing depth (PD), gingival index (GI), and periodontal screening and recording (PSR). The association between oral health and sleep patterns was evaluated using Spearman's coefficient correlation, independent t-test, and the Chi-squared test. The ICDAS mean was significantly higher in children with improper sleep patterns (p = 0.032). However, there was no statistically significant relationship between DMFT and sleep patterns (p = 0.346). The GI, PD, and PSR mean were significantly higher in the inappropriate sleep pattern group. There was a significant relationship between children's sleep patterns and GI, PD, and PSR indices (p = 0.033, p = 0.020, p = 0.028, respectively). However, there was no significant association between PI and sleep patterns (p = 0.277). Children's sleep patterns were associated with dental caries and periodontal status. Adequate sleep is required to prevent oral diseases such as dental caries and periodontal diseases. According to this study, it is recommended that children should be encouraged to get adequate sleep by their parents and dentists. Mehdipour A, Abbasi R, Keykha E, et al. The Association between Dental Caries, Periodontal Status, and Sleep Patterns in Children. Int J Clin Pediatr Dent 2024;17(8):925-932.

Evaluation of environmental management and its correlation with eco-efficiency in public Institutions in Peru

The study aims to determine the relationship between environmental management and eco-efficiency of workers in public institutions in Peru. For this, a quantitative approach with a correlational design was proposed, in which 320 employees from various public institutions participated. Data collection was carried out through two Likert-type questionnaires, and the Spearman's Rho coefficient was used to obtain the correlation levels. The results showed a positive correlation (0.768) between environmental management and eco-efficiency, indicating that better implementation of environmental management practices is associated with more efficient use of resources within institutions. In conclusion, the importance of promoting policies and training on environmental management in the public sector is highlighted, as this not only contributes to environmental preservation but also has a direct impact on the operational efficiency of entities.

Effect of PM2.5 on burden of mortality from non-communicable diseases in northern Thailand.

Particulate pollution, especially PM2.5from biomass burning, affects public and human health in northern Thailand during the dry season. Therefore, PM2.5exposure increases non-communicable disease incidence and mortality. This study examined the relationship between PM2.5and NCD mortality, including heart disease, hypertension, chronic lung disease, stroke, and diabetes, in northern Thailand during 2017-2021. The analysis utilized accurate PM2.5data from the MERRA2 reanalysis, along with ground-based PM2.5measurements from the Pollution Control Department and mortality data from the Division of Non-Communicable Disease, Thailand. The cross-correlation and spearman coefficient were utilized for the time-lag, and direction of the relationship between PM2.5and mortality from NCDs, respectively. The Hazard Quotient (HQ) was used to quantify the health risk of PM2.5to people in northern Thailand. High PM2.5 risk was observed in March, with peak PM2.5concentration reaching 100 µg/m3, with maximum HQ values of 1.78±0.13 to 4.25±0.35 and 1.45±0.11 to 3.46±0.29 for males and females, respectively. Hypertension significantly correlated with PM2.5levels, followed by chronic lung disease and diabetes. The cross-correlation analysis showed a strong relationship between hypertansion mortality and PM2.5at a two-year time lag in Chiang Mai (0.73) (CI [-0.43-0.98], p-value of 0.0270) and a modest relationship with chronic lung disease at Lampang (0.33) (a four-year time lag). The results from spearman correlation analysis showed that PM2.5concentrations were associated with diabetes mortality in Chiang Mai, with a coefficient of 0.9 (CI [0.09-0.99], p-value of 0.03704). Lampang and Phayao had significant associations between PM2.5 and heart disease, with coefficients of 0.97 (CI [0.66-0.99], p-value of 0.0048) and 0.90 (CI [0.09-0.99], p-value of 0.0374), respectively, whereas Phrae had a high coefficient of 0.99 on stroke.