Kolmogorov-Smirnov Research Articles

Academic self-efficacy and digital competence in a sample of university students

The objective of this study is to determine the relationship between academic self-efficacy and digital competence in a sample of undergraduate university students in Peru. The design was nonexperimental, cross-sectional, and correlational. The non-probabilistic sample consisted of 98 students from a private university in Peru. Academic self-efficacy single-item scale and digital competence questionnaire were used. Spearman correlation coefficient, Kolmogorov-Smirnov test, and Mann-Whitney U test were used for statistical analysis. The statistical program used was SPSS v. 25. The average academic self-efficacy obtained was 3.73 (standard deviation [SD]=0.73). Regarding digital competence, the mean recorded was 72.34 (SD=11.57). Additionally, it was found that there were no significant differences in academic self-efficacy and digital competence according to gender (p>0.05). Similarly, it was found that there is a significant correlation between academic self-efficacy and digital competence in students (rho=0.438; p<0.001). Similarly, it was found that there is a correlation between academic self-efficacy and the five dimensions of digital competence (information, communication, content creation, technological security and problem-solving) in university students (p<0.05). This research could contribute to the development of programs, courses, or psychoeducational strategies for the development of academic self-efficacy and digital competence in university students.

Application of the NRCS-curve number method in humid tropical basins of southeastern Nigeria: a statistical analysis

In the south-eastern region of Nigeria, the application of rainfall (P) and runoff (Q) data directly into the Natural Resources Conservation Service Curve Number (NRCS-CN) method hasn’t been thoroughly studied. This research aimed to determine representative values of the initial abstraction ratio (λ) and corresponding curve number (CN), fit the P and Q data using theoretical probability distributions, and establish confidence intervals for CN. The least squares minimization method and Kolmogorov-Smirnov test were employed on data from 129 sub-basins across 4 major basins. Findings revealed optimal initial abstraction ratio (λopt) = 0.24 and optimal CN (CNopt) = 80, with rainfall best fitted by Gamma, runoff by Weibull, and CN by Normal distributions. However, the study was limited to the available 8-year record period with 96 storm events. The 96 storm events over an 8-year period may seem limited for a humid tropical region, the available data were the most comprehensive and reliable dataset for this study area. Additional data collection over a longer time frame could enhance future studies. The localized CN value and associated confidence intervals can enhance runoff prediction accuracy for flood mitigation and water resources management in this humid tropical region, though further validation is recommended.

SNOOKER: a dataset generator for helpdesk services

AbstractThe availability of suitable datasets and data generators is crucial for developing intelligent systems, especially in helpdesk services. However, the lack of publicly accessible data generators focused on helpdesk operations, where incidents are often closed without detailing the treatment procedures, poses challenges to implementing intelligent systems such as recommender systems. To address this issue, a dataset generator can be employed to simulate helpdesk incidents. This paper introduces SNOOKER (dataSet geNeratOr fOr helpdesK sERvices), a customizable dataset generator designed to create and treat helpdesk tickets, including domain-specific incidents (e.g., cybersecurity) by orchestrating simulated actions and multiple IT teams. SNOOKER’s output is compared against a real anonymized dataset from S21Sec Cyber Solutions by Thales. The datasets are evaluated using Kolmogorov-Smirnov, Kullback-Leibler Divergence, and Hellinger distance tests, with results indicating similar distributions. For example, the first metric returned a low K-S value and a p-value exceeding 5%, while the second and third measures presented 0.003 and 0.03, respectively. Furthermore, experiments with different team configurations revealed that ticket scheduling highly depends on each team’s operators’ numbers and work shifts, increasing with unbalanced shifts and fewer operators.

Functional study of the brain based on magnetic resonance imaging in patients with insomnia disorders

BACKGROUND: Insomnia has a significant impact on the quality of life of patients. Despite the progress in understanding the pathophysiological mechanisms of insomnia, the possibilities of its objective diagnosis remain insufficiently studied. This study can contribute to understanding the neural mechanisms of insomnia, contribute to the development of new diagnostic and treatment methods, and personalize therapeutic approaches to improve the quality of life of patients with insomnia disorders. AIM: to evaluate changes in the brain connectome in patients with psychophysiological and paradoxical insomnia by performing functional magnetic resonance imaging. MATERIALS AND METHODS: A total of 31 patients were examined who applied for a somnologist appointment at the Federal State Budgetary Institution Almazov National Medical Research Centre of the Ministry of Health of the Russian Federation with diagnosed chronic insomnia. All patients underwent polysomnographic examination using Embla N 7000 (Natus, USA) and SOMNO HD (SOMNOmedics, Germany) for one night with an assessment of the main characteristics of sleep according to the rules of AASM 2.5. Also, all study participants underwent magnetic resonance imaging of the brain on tomographs with a magnetic field induction force of 3.0 Tl at two time points. Statistical analysis of MRI data was performed using MathLab 2023a, CONN v22.a packages. Descriptive statistics, the Kolmogorov–Smirnov criterion were used for processing materials, depending on the characteristics of the data, the Mann–Whitney U-criterion and Pearson Chi-squared were used to analyze demographic data. DISCUSSION: The study demonstrates the possibilities of functional magnetic resonance imaging in obtaining data on the functional connections of the brain in insomnia. The detected changes in the activity of various brain regions indirectly or directly involved in the regulation of sleep and wakefulness are consistent with the most common pathogenetic models of insomnia, in particular with the theory of hyperactivation and the model of sleep reactivity to stress. CONCLUSION: The results of the study emphasize the relevance of studying functional changes in the brain in insomnia, opening up new opportunities for more accurate diagnosis and the development of personalized treatment methods.

A Comparison of Using Cuffed and Uncuffed Face Masks for Providing Manual Bag Ventilation in Elderly Patients with Obesity

Background: With the improvement of healthcare, the number of elderly individuals, including those with obesity, is increasing. The accumulation of various ventilation problems associated with the use of face masks in both these patient groups can pose a challenge even for an experienced anesthesiologist. The main aim of this study was to evaluate the ventilation of elderly patients with obesity using face masks, uncuffed or cuffed, and compare it with values obtained among patients with obesity who are not elderly. The secondary aim of the study was to demonstrate which of the two masks tested is better for elderly patients with android and gynoid obesity. Methods: This study was conducted at University Clinical Hospital No. 1 in Lodz among 108 patients with obesity, 50 elderly and 58 non-elderly. Patients’ BMIs ranged from 35.0 to 59.0. For the study, the uncuffed Intersurgical Eco Mask II and cuffed Ambu Ultra Seal face masks were used. Expiratory tidal volume and leakage obtained during the use of both types of masks were examined. The obtained data were analyzed using the Kolmogorov–Smirnov test and supplemented with Wilcoxon test values. Results: In elderly patients with obesity, especially those with gynoid obesity, the use of the Intersurgical Eco Mask II is associated with better ventilation parameters than the Ambu Ultra Seal mask. Only in the case of elderly patients with android obesity did the use of the Ambu Ultra Seal mask yield similar results to the Intersurgical Eco Mask II. Conclusions: Uncuffed face masks provide better ventilation parameters during manual bag ventilation in elderly patients with obesity.

An IPA Analysis of Tourist Perception and Satisfaction with Nisville Jazz Festival Service Quality

This paper applies Importance-Performance Analysis (IPA) to investigate potential satisfaction or dissatisfaction with service quality at the internationally recognized Nisville Jazz Festival. The research was conducted using the Statistical Package for Social Sciences (SPSS) software version 20, including the Kolmogorov–Smirnov test, factor analysis, one-way analysis of variance (ANOVA), and Principal Component Analysis (PCA) with Varimax rotation for data analysis. The study involved 250 festival attendees, focusing on their motivation and identification of both tangible and intangible attributes of the festival, with 227 providing valid responses to the survey questionnaire. The Service Quality Model (SERVQUAL) was used to identify quality factors. The results indicate that cultural content and hospitality are the most important factors significantly contributing to visitor satisfaction and positively influencing recommendations and repeat visits to the festival. Another important factor in the study is accessibility, while comfort, amenities, safety, and cleanliness require improvement to enhance the overall visitor experience. The findings provide concrete guidelines for the further development of the festival and the enhancement of the tourism offerings in Nis.

Dynamic signatures: a mathematical approach to analysis

Abstract This study evaluates mathematical tools (principal component analysis, dynamic time warping, and the Kolmogorov–Smirnov hypothesis test) to analyse global and local data from dynamic signatures to reduce subjectivity and increase the reproducibility of handwriting examination using a two-step approach. A data set composed of 1800 genuine signature samples, 870 simulated signatures, and 60 disguises (30 formally similar or ‘autosimulated’ and 30 random but different from usual) provided by 30 volunteers was collected. The first step involved global data analysis using principal component analysis and a hypothesis test performed for 62 global characteristics, and associations of these characteristics were analysed through calculations of multivariate distance followed by a hypothesis test. The second step involved the analysis of local characteristics including vertical and horizontal positions, speed, pressure gradient, acceleration, and jerk point-to-point, by using dynamic time warping followed by a hypothesis test. Optimization of sensitivity and specificity metrics of the hypothesis test was explored by varying its stringency and observing accuracy rates for the simulated and genuine groups. A P-value threshold of 1 × 10−10 was found to be optimal, making the test more restrictive and yielding accuracy rates of 96.7% for genuine global data and 88.9% for simulated data. The same cutoff value for local characteristics provided an average accuracy rate of 95.4% for genuine samples and 94.7% for simulated samples, demonstrating high accuracy for both simulated and genuine samples. However, the method did not offer reasonable accuracy rates for disguises, consistent with observations in traditional handwriting examination. Our approach provided satisfactory results for forensic examination use. The visualization of graphs and signatures and analysis of all identifying elements of handwriting by the examining expert are still essential. In future studies, we plan to perform blind tests to validate our approach and propose a rigorous methodology.

Thermomechanical aging effects on vertical marginal gap and fracture resistance: a comparative study of Bioflx and traditional pediatric crowns

BackgroundVarious types of crowns are used for full-coverage restoration of primary teeth affected by caries, developmental defects, or after pulp therapy. Prefabricated Stainless Steel and Zirconia crowns are commonly utilized. Bioflx crowns, which blend the properties of Stainless Steel and Zirconia, provide a flexible and aesthetically pleasing alternative.AimThis study aimed to evaluate the vertical marginal gap and fracture resistance of Bioflx pediatric crowns compared to Zirconia and Stainless Steel crowns following thermomechanical aging.MethodsThis in-vitro study was conducted using mandibular second primary crowns of three different materials (n = 30). Crowns were divided into three groups; Zirconia crowns group (n = 10, Nu Smile, USA), Bioflx crowns group (n = 10, Nu Smile, USA) and Stainless Steel crowns group (n = 10, Nu Smile, USA). The crowns were cemented onto standardized acrylic resin dies and subjected to thermomechanical aging. Vertical marginal gap measurements were obtained using a USB digital microscope with an integrated camera, while fracture resistance was assessed with a universal testing machine. Data were analyzed for outliers and tested for normality using the Shapiro-Wilk or Kolmogorov-Smirnov tests, with statistical significance set at 0.05.ResultsSignificant differences were observed in the vertical marginal gaps among the groups after cementation and thermomechanical aging (P = 0.013 and P = 0.001, respectively). Zirconia crowns exhibited the largest average marginal gap, followed by Bioflx and Stainless Steel crowns. Stainless steel crowns demonstrated the highest fracture resistance, followed by Bioflx crowns, while Zirconia crowns showed the lowest.ConclusionsBioflx crowns exhibit the largest vertical marginal gap but show greater fracture resistance compared to Zirconia crowns, although they are still less resistant than Stainless Steel crowns after undergoing thermomechanical aging.

Small-Molecule Drugs Offer Comparable Health Benefits To Biologics At Lower Costs.

The Inflation Reduction Act of 2022 requires that Medicare negotiate a Maximum Fair Price for selected small-molecule drugs nine years after their Food and Drug Administration (FDA) approval and thirteen years postapproval for selected biologics. The discrepancy between these time frames raises questions about the relative value of small-molecule drugs versus biologics. We compared the incremental quality-adjusted life-year (QALY) gains, incremental costs, and incremental cost-effectiveness ratios (ICERs) of small-molecule drugs and biologics approved by the FDA during the period 1999-2018. We used the Mann-Whitney U test (to compare medians) and Kolmogorov-Smirnov test (to compare the distributions). We found that small-molecule drugs and biologics offer similar magnitudes of incremental QALY gains (0.08 versus 0.10). Small-molecule drugs tend to be associated with lower additional costs ($4,738 versus $16,020) and more favorable cost-effectiveness ($108,314 per QALY versus $228,286 per QALY). Creating parity regarding time to Medicare price negotiation may be appropriate.

Employing cluster analysis in defining groundwater wells patterns in Rafah

Clustering analysis techniques used in identifying homogeneity of groundwater wells patterns in terms of Chloride, Nitrate, and TDS. Data was collected through the laboratories of Palestinian Water Authority in the Rafah 2020. R-Programming is used for data analysis. Kolmogorov-Smirnov test is used to test data normality. Hierarchical clustering analysis applied to generate a cluster tree (r>0.75) in correlation matrix. Agglomerative Hierarchical Clustering is used to classify with “average” method and found that there are two clusters. First cluster with 28 wells and Second cluster with 9 wells. Test of homogeneity between the two clusters groups using T-test for the hierarchical clustering and found that there are significant differences in means for TDS and for Chloride between first cluster and second cluster with a significant level less than 0.01. While for Nitrates, also, there are significant differences in means between the first cluster and second cluster with a significant level less than 0.05. Different stability validation measures carried out for data concludes that for the APN and ADM measures, hierarchical clustering with two clusters again gives the best score. Three internal cluster validation measures are used. Concludes that Hierarchical clustering with two clusters performs the best in (Connective, Dunn, and Silhouette). Recall that the connectivity should be minimized, while both the Dunn Index and the Silhouette Width should be maximized. Thus, Hierarchical clustering outperforms the other clustering algorithms under each validation measure.

Chasing the Neutrino Blazar Candidates

In our study of the correlations between IceCube-detected neutrino events and γ-ray properties of blazars, we recognize the inherent challenges posed by the limited detection of neutrinos. In this paper, we explore few-shot learning to deal with the class imbalance and few-shot issues presented in the incremental version of the 12 yr Fermi-LAT γ-ray source catalog (4FGL_ DR3). Specifically, we train a triplet network to transform the blazars with neutrino emission (NBs) and nonblazar samples into an embedding space where their similarities can be measured. With two-way three-shot learning, 199 out of 3708 blazars without neutrino emission (non-NBs) are considered as the potential blazars emitting neutrinos (NB candidates, or NBCs for short), with a similarity score against NBs exceeding 98%. Moreover, the Kolmogorov–Smirnov test supports our identification of NBCs.

Modeling the distribution of jet fuel price returns based on fat-tail stable Paretian distribution.

Jet fuel plays a crucial role as an essential energy source in aerospace and aviation operations. The recent increase in fuel prices has presented airlines with the new challenge of managing jet fuel costs to ensure consistent cash flow and minimize operational uncertainties. The conventional risk prediction models used by airlines often assume that risks are normally distributed according to the classical Central Limit Theorem, which can lead to under-hedging. This paper proposes an innovative approach using the stable Paretian model to analyze the price return of jet fuel in large samples. It comprehensively compares the fitting effect of the stable Paretian distribution with that of the normal distribution based on specific criteria and non-parametric significance tests. Furthermore, it investigates the accuracy of risk measures such as Value at Risk (VaR) and Conditional Value at Risk (CVaR) predicted by both models. In addition to comparing differences in VaR between predicted values and actual values, this paper provides a more comprehensive comparison of risk measures under rolling window forecast situation. Results suggest that despite indistinguishable results in VaR backtest, the stable Paretian distribution has a overall better fitting effect as well as a less biased predicted CVaR based on the AIC of -14099.46, BIC of -14110.98, p = 0.58 in Kolmogorov-Smirnov test and p = 0.46(0.92) in the 0.01(0.05) significance level of Expected Shortfall Regression Test. This might be explained by its ability to capture asset return dynamics while maintaining shape stability with few parameters. This research can provide valuable insights for guiding airlines' risk management decisions. its ability to capture asset return dynamics while maintaining shape stability with few parameters. This research can provide valuable insights for guiding airlines' risk management decisions.

Serum autotaxin positively associates with hypertension in postmenopausal women: a single center study in China

Aim: Autotaxin is an adipokine involved in metabolic disorders. The aim of the current study was to evaluate serum autotaxin levels in hypertensive postmenopausal women and establish a relationship between autotaxin and other comorbidities in this special group. Methods: This single-center study included postmenopausal women who received annual health examinations at the First Affiliated Hospital, College of Medicine, Zhejiang University in Zhejiang, China. The metabolic and demographic characteristics of the subjects, including age, sex, height, weight, blood pressure, and biochemical indices, were collected. The serum autotaxin level was measured via ELISA. The Kolmogorov-Smirnov test, Student's t test, Mann–Whitney U test, χ 2 test, receiver operating characteristic (ROC) curve analysis, Spearman correlation analysis and multivariate logistic regression analysis were adopted for statistical analysis. Results: This pilot observational study included 25 hypertensive postmenopausal women and 25 age-matched normotensive controls. Hypertensive patients presented significant metabolic disturbances with greater comorbidities such as nonalcoholic fatty liver disease, obesity, overweight, diabetes, hypertriglyceridemia and hyperuricemia (P < 0.05), impaired renal health with higher uric acid levels (P < 0.001), and slightly elevated creatinine levels (P = 0.156) with lower estimated glomerular filtration rates (eGFRs) (P = 0.195). The serum autotaxin level was markedly greater in the hypertensive group (239.0±59.6 ng/ml vs. 192.7 ± 49.0 ng/ml; P < 0.01) and was positively associated with systolic blood pressure; diastolic blood pressure; and alanine transaminase, triglycerides (TG), creatinine, and uric acid levels and inversely associated with the eGFR (P < 0.05) among postmenopausal women. Serum autotaxin levels positively predicted hypertension, with an AU-ROC of 0.750 [95% confidence interval (CI): 0.613–0.888] and a Youden index of 0.480 at a cutoff of 225 ng/ml. In the multivariate logistic regression analysis, after adjustment for demographic and metabolic parameters (including age, BMI, ALT, TB, uric acid, FBG, TG, LDL and creatinine), autotaxin (ATX) remained independently positively correlated with the risk of hypertension [odds ratio: 1.016, 95% CI 1.001–1.031; P < 0.05). Conclusions: Among postmenopausal women, the serum autotaxin level is significantly elevated in the hypertensive group compared with age-matched normotensive controls. ATX is related to multiple metabolic disorders and renal health, suggesting that autotaxin has potential as a multiorgan therapeutic target for cardiovascular-metabolic-renal disorders.

Assessing building thermal resilience in response to heatwaves through integrating a social vulnerability lens

Major cities worldwide are increasingly experiencing intense heatwaves, which disproportionately affect vulnerable populations. This suggests the urgent need for focused attention and mitigation strategies to protect those most at risk from the impacts of heatwaves. The presence of vulnerable groups in buildings with varying thermal conditions can result in different outcomes during extreme heat events, making it crucial to evaluate the thermal resilience of buildings in conjunction with social vulnerability. This research advances the understanding of thermal vulnerability by integrating building thermal characteristics with social vulnerability. While previous studies have predominantly focused on socio-ethnic and economic dimensions of vulnerability, this study specifically investigates the relationship between social vulnerability and thermal resilience, with a focus on building thermal parameters. Datasets from Zillow and ResStock are used to capture the thermal properties of buildings, while social vulnerability data is obtained from the Center for Disease Control and Prevention. A Gaussian Naïve Bayes (GNB) model is applied to enhance building envelope attributes from Zillow, leveraging detailed information from ResStock data. Additionally, a Kolmogorov-Smirnov (KS) test is conducted to analyze diverse thermal attributes, such as age of buildings, room size, number of stories, building area, envelope characteristics, systems, infiltration, across differing levels of social vulnerability (high and low). Specifically, Philadelphia is selected as the analysis focus. The analysis reveals significant associations between thermal resilience and social vulnerability. Groups with higher social vulnerability are more likely to be exposed to elevated levels of thermal vulnerability compared to less vulnerable groups. This highlights the necessity for tailored interventions aimed at promoting the development of more resilient and equitable buildings, capable of reducing the impacts of heatwaves on vulnerable communities.

Correlation between Civil Engineering Student’s Performance in Mathematics and Academic Success

This research aims to examine the widely accepted paradigm that proficiency in mathematics significantly influences the academic success of Civil Engineering students. Using data from 119 students of the 2018 and 2019 cohorts at Universitas Mercu Buana, the study analyzes the correlation between their performance in Mathematics courses (Mathematics 1, 2, and 3) and their academic success, as measured by timely graduation and GPA. The data were processed using the Spearman correlation method, given its non-normal distribution as determined by Kolmogorov-Smirnov and Shapiro-Wilk tests. The results indicate a significant positive correlation (r = 0.313, p = 0.001) between mathematical performance and academic success, with students achieving higher mathematics scores more likely to graduate on time. These findings suggest that while mathematical ability is a critical factor in academic success, other elements such as motivation, teaching methods, and external support should also be considered in improving student outcomes.

Digitized Seedbed Soil Quality Assessment from Worn and Edge Hardened Cultivator Sweeps

Tillage tools for seedbed soil management are often subjected to low stress abrasion wear, which could negatively affect seedbed quality and crop productivity. Limited studies exist that quantify the effects of worn tillage tools on seedbed quality and crop yield. This research investigated the influence of tillage tool wear on seedbed preparation by evaluating the effect of cultivator sweep wear on soil tilth utilizing a light detection and ranging (LiDAR) sensor. The framework consists of a seedbed tillage field experiment using a Completely Randomized Design (CRD) experiment in six replicates of two-tillage treatments (new and worn cultivator sweeps). After seedbed tillage, loosely tilled soil aggregates were removed to expose the seedbed soil profile, and then seedbed roughness statistical measures were estimated from LiDAR-scanned seedbed soil surface. Three statistical analyses (Analysis of Variance (ANOVA), Kolmogorov–Smirnov (KS), and Earth Mover’s Distance (EMD)) were compared to quantitatively evaluate the soil roughness estimated from the LiDAR seedbed surface data. Seedbed prepared by new and worn cultivator sweeps showed significant differences (p < 0.05) in soil roughness variables of standard deviation, coefficient of variation, and kurtosis. Data analysis from the ANOVA and KS methods revealed that LiDAR-extracted soil roughness patterns were statistically influenced by tillage treatment. EMD analysis detected noticeable disparities between the tillage treatments and new versus worn cultivator sweeps. This study concludes that tillage tool wear substantively affects seedbed quality, as evidenced by LiDAR soil profile estimated attributes of soil roughness and three statistical methods (ANOVA, KS, and EMD). Our study supports the adoption of LiDAR technology for seedbed management, highlighting its applicability to evaluate seedbed quality that accounts for the wear life cycle of cultivator sweeps.

Health literacy in pregnant women facing prenatal screening: a short report from “SaperePer” project

Abstract Advancements in health promotion and prenatal medicine have made noninvasive prenatal testing (NIPT) a common practice during pregnancy, but understanding prenatal health information becomes crucial not only for the well-being of the mother but also for that of the unborn child. Analyze health-related information during pregnancy is fundamental, and this work fits perfectly with this topic, reporting preliminary results from the pilot study “SaperePer”. A health-related questionnaire was administered to 358 women in the first trimester of pregnancy, aiming to study different outcomes: 1.level of knowledge of NIPT; 2.number of screening tests undergone; 3.willingness to undergo a diagnostic test with a high outcome risk of screening test; 4.willingness to end the pregnancy following a diagnosis of pathology. The questionnaire was divided into 3 sections: personal characteristics and lifestyle habits, prenatal health behavior scale (PHBS), and knowledge of NIPT. Preliminary results showed that the level of knowledge of NIPT was higher in older, atheist, working, wealthy highly educated, and preliminary informed women, as well as the higher number of screening tests undergone and the propensity to undergo an invasive diagnostic test after a high-risk screening result (KS and MW tests p < 0.05). On the contrary, women with lower education, faithful and, even more, not preliminary and appropriately informed during prenatal counseling showed lower knowledge of NIPT, lower number of tests undergone, and meager chances to undergo an invasive diagnostic test or to end the pregnancy after a positive diagnosis of pathology (KS and MW tests p < 0.05). In conclusion, this study evaluated health-related information during the first but crucial stages of pregnancy, opening a new understanding of how health literacy and correct prenatal counseling could increase awareness and health promotion in pregnant women, particularly in those women with lower cultural tools. Key messages • Health literacy and correct prenatal counseling could increase awareness and health promotion in pregnant women. • Understanding prenatal health information becomes crucial both for maternal and prenatal well-being.

Effect of body mass index on quadriceps angle and tibial torsion in school-aged children

BackgroundThe prevalence of excessive body mass (BMI) is increasing in pediatric population. Accordingly, the number of musculoskeletal problems in this population is also likely to increase. The quadriceps angle (Q-angle) is a clinical measure used to measure knee alignment in relation to the hip, femur, and tibia, as well as evaluating alignment of the patella. Tibial torsion (T.T) is an important morphological feature of human tibia. The aim of that study was to study the relationship between the Q-angle and TT in children 8 to 12 years old, the effect of BMI on Q-angle and T.T, and the difference in Q-angle and TT between dominant and non-dominant side.Results“Seventy-five children from primary schools” were enrolled in the study and allocated into 3 groups (25 subjects in each group), according to BMI: group I (normal weight = 25), group II (overweight = 25), and group III (obese = 25). The mean value of age of groups I, II, and III was 10.35 ± 1, 10.74 ± 1.2, and 10.17 ± 1.18 years respectively; the mean value of weight was 29.88 ± 3.94, 43.68 ± 6.55, and 50.06 ± 10.44 kg respectively; the mean value of height was 135.28 ± 7.63, 143.2 ± 8.85, and 140.72 ± 9.3 cm respectively; and the mean value of BMI was 16.22 ± 1, 21.18 ± 1.4, and 25.17 ± 2.67 kg/m2. The number (%) of boys in groups I, II, and III was 15 (60%), 18 (72%), and 17 (68%) respectively and of girls was 10 (40%), 7 (28%), and 8 (32%) respectively.The significant values were Q-angle and TT. Data were expressed as mean ± SD. ANOVA was used to compare between subjects’ characteristics of the groups. Kolmogorov-Smirnov test was used for testing normality of data distribution. One-way MANOVA was used to compare parametric variables (Q-angle and TT) between the two groups. Compared with normal weight children, there was statistically significant increase in Q-angle and TT angle in overweight and obese children.ConclusionAny change in BMI would eventually lead to change in both Q-angle and TT angle. The greater the BMI values, the greater the values of Q-angle and TT angle.

Clinical trial protocol for continuous glucose monitoring in critical care at Hospital Clinic of Barcelona (CGM-UCI23).

Hyperglycaemia is common in intensive care units (ICUs), with a prevalence of up to 86.2%, increasing mortality. Technology has evolved towards continuous glucose monitoring (CGM), and its use in ICUs began especially during the coronavirus pandemic (COVID-19). Various studies have evaluated the reliability of CGM, indicating that it is safe for use in critically ill patients. The aim of this study was to compare the use of CGM with point-of-care glucose (POC-G) testing in ICU. Specific objectives include evaluating the glycaemic control, the frequency of POC-G measurements, the incidence of hyperglycaemia, hypoglycaemia and morbidity and mortality at 90 days. An experimental, controlled and randomized clinical trial with a single-blind design will be conducted at Hospital Clinic of Barcelona (HCB). A sample size of 376 participants will be recruited and randomly assigned to two groups: an experimental group, where glycaemic management will be based on CGM; and a control group, where glucose will be managed through POC-G testing, with a blinded CGM. The primary variable considered will be time in range (TIR), with secondary outcomes including, time above range (TAR), time below range (TBR), number of POC-G measurements, incidence of hyperglycaemia and hypoglycaemia, and mortality. Hypothesis testing will use the Kolmogorov-Smirnov test to assess data normality, with appropriate statistical tests applied, considering a p-value <.05. The results obtained will help us understand the impact of CGM on critically ill patients. CGM could potentially reduce the workload of nurses and improve the efficiency of decision-making by the ICU team, enabling early identification and treatment of glucose complications, thereby enhancing safety. Patient safety, a reduction in patient fingerstick and a decreased care burden are the criteria that add value to this research.

Cognitive emotional regulation in physiotherapy students in Croatia

ABSTRACT Background Cognitive emotional regulation refers to a conscious or unconscious process that affects an individual's emotions and the physical and mental health of the individual. The aim of this study was to detect strategies of cognitive emotional regulation used by physiotherapy students in stressful situations. Methods The study was conducted from January to March 2022 and enrolled 372 students. An announcement was posted electronically on the web page of each physiotherapy study in Croatia, inviting students to participate in the study. Each participant provided written informed consent. The Cognitive Emotion Regulation Questionnaire was used in the study for detecting cognitive emotional strategies that students use in stressful situations. Statistical analysis of data included descriptive statistics of data groups where values were expressed as mean and standard deviation. The Kolmogorov–Smirnov test was used to test the normality of the distribution. To test the differences between two independent groups, the Mann–Whitney U rank sum test was applied, while the non-parametric Kruskal–Wallis test was used to test the differences of several subgroups of variables. Categorical variables were tested with Fischer's exact test or chi-square test. Results The most frequently used emotional cognitive regulation strategies are acceptance and positive reappraisal. There is a statistically significant difference in the use of self-blame (p < .001), rumination (p < .001) and blaming others (p = 0.018) in relation to gender. Also, there is a statistically significant difference in the use of acceptance (p = 0.022), rumination (p < .001) and blaming others (p = 0.049) in relation to the year of study. Conclusion Education of physiotherapy students to the use of adaptive strategies could have a positive effect on the students’ learning quality, their decision–making abilities and the quality of physiotherapy provided to patients. Encouraging physiotherapy students to engage in cognitively adaptive ways of thinking can serve as a solid method to help students in an academic and professional environment.