Spearman's Coefficient Research Articles

Decreased antioxidant capacity in children with diabetic ketoacidosis

Objective. To analyze the levels of antioxidant enzyme superoxide dismutase (SOD) and glutathione peroxidase (GP) against the background of diabetic ketoacidosis (DKA) in type 1 diabetes mellitus (DM) children and adolescents. Materials and methods. The study involved examination of 74 children: 50 DKA children (study group) and 24 relatively healthy children (control group). The study group children were divided into two subgroups: subgroup 1 included children with DKA against the background of type 1 DM onset (n=27), subgroup 2 consisted of children with DKA against the background of chronic type 1 DM (n=23). SOD and GP concentrations in blood plasma were determined in all children by enzyme immunoassay. The reliability between the data was estimated using the Mann-Whitney test, Kruskal-Wallis test and Spearman coefficient. Results. A significant decrease in SOD and GP in children with DKA was revealed as follows: 13130 [13005–18255] Pg/ml and 50.085 [42.02–70.325] Ng/ml, compared to controls: 16415 [13370–19935] Pg/ml and 84.695 [52.49–144.5] Ng/ml, respectively. Minimal SOD and GP were noted in patients with DKA at the background of chronic type 1 DM, compared to DM onset children. The study indicates a reliable correlation between age, duration of the disease, number of DKA in the history and low values of SOD and GP. Conclusion. Decreased antioxidant capacity was found in children with DKA in type 1 DM. SOD and GP can be considered in pediatric practice as markers of oxidative stress in DKA. In addition, an early detection of SOD and GP contributes to the efficient therapy of DKA in children and adolescents.

Relationships between job satisfaction, occupational burnout and rationing of care among intensive care unit nurses.

Rationing of nursing care is referred to as overlooking aspects of required patient care. Its result is incomplete or delayed services provided to the patient. Anesthesia nurses employed in an intensive care unit are exposed to a significant workload. Particularly heavy is the psychological burden leading in many cases to the onset of burnout syndrome and a decrease in job satisfaction. Was to determine the relationship between occupational burnout, job satisfaction and rationing of care among anesthesia nurses employed in intensive care units. The study group consisted of 477 anesthesia nurses employed in intensive care units in Poland. The study was conducted between December 2022 and January 2023. The research tools were BERNCA-R questionnaire, Job Satisfaction Scale questionnaire and Maslach Burnout Inventory questionnaire, which were distributed to selected hospitals with a request to be forwarded to intensive care units and completed. In the statistical analysis, correlations were calculated using Spearman's rho coefficient, reporting the intensity of the relationship and its positive or negative direction. The analysis was performed using the IBM SPSS 26.0 package with the Exact Tests module. The mean score of the BERNCA questionnaire was 1.65 ± 0.82. The mean score of occupational burnout was 60.82 ± 10.46. The level of emotional exhaustion, which significantly affects occupational burnout, was 26.39 ± 6.07, depersonalization was 14.14 ± 3.21 and lack of personal achievement was 20.29 ± 4.70. All the scores obtained exceeded the threshold of 50% of total points, which indicates the presence of occupational burnout at a significant level. The job satisfaction of the nurses surveyed was above mean at 23.00 ± 5.2 out of 35 total points. The results proved that there is a statistically significant, although with a weak strength of association, correlation between occupational burnout and rationing of care by anesthesia nurses. As the limitation of anesthesia nurses' ability to perform certain activities increases, their job satisfaction decreases. In a work environment that is conducive to nurses, there are fewer job responsibilities that are unfulfilled. Therefore, it is essential to create a friendly work environment for nursing staff that will promote the provision of services at the highest possible level.

Strong Correlation Between Standing Long-Leg Radiographs and CT Scans in Measuring Coronal Knee Alignment.

The objective of this study was to evaluate the correlation in measurements of the lower-limb coronal alignment between long-leg radiographs (LLRs) and computed tomography (CT) scanograms that were made during preoperative planning for robotic-arm-assisted knee arthroplasty. On the basis of published evidence demonstrating a good correlation between these imaging modalities in measuring the lower-limb mechanical axis, we hypothesized that there would be no significant differences between the 2 in the present study. This multicenter cohort study across 3 tertiary centers included 300 patients undergoing primary robotic-arm-assisted total knee arthroplasty (TKA) or unicompartmental knee arthroplasty (UKA) for whom LLRs and CT scanograms were available preoperatively. The study involved measuring the medial proximal tibial angle (MPTA), lateral distal femoral angle (LDFA), hip-knee-ankle angle (HKA), joint line obliquity (JLO), joint-line convergence angle (JLCA), and arithmetic HKA (aHKA). The aHKA represents a method for estimating constitutional alignment using angles that are unaffected by joint-space narrowing. Strong correlations (p < 0.001) between the imaging modalities were found for the HKA (correlation coefficient, 0.912), aHKA (0.883), MPTA (0.820), LDFA (0.871), and JLO (0.778). A weaker correlation was observed for the JLCA in valgus knees as compared with varus knees (Spearman coefficients, 0.412 and 0.518, respectively). Regression models demonstrated that the degree of agreement was associated with the preoperative intra-articular deformity and the positioning of the lower limb during the CT scan (i.e., the lower-limb rotational angle). An initial JLCA within ±5° was associated with higher agreement. We observed a strong correlation between LLRs and CT scanograms that were made during the preoperative planning stage of robotic-arm-assisted knee arthroplasty, implying that CT scanograms can reliably be utilized to estimate the coronal alignment of the knee, potentially replacing the need for LLRs. Nevertheless, to attain a higher degree of agreement, it is crucial to ensure appropriate radiographic positioning of the lower limb. Additionally, surgeons must remain vigilant regarding potential discrepancies in cases involving substantial deformities. Prognostic Level II. See Instructions for Authors for a complete description of levels of evidence.

Relationships between diameter growth and functional wood anatomy in Eucalyptus globulus clones

Aim of study: We aimed to 1) analyze the variability of wood hydraulic anatomical traits in 10 clones of E. globulus Labill. with different growth rates, and 2) determine whether the magnitude of diameter growth affects the relationships between anatomical variables and diameter at breast height (DBH). Area of study: 25-year-old common garden trial in Balcarce, Buenos Aires, Argentina. Material and methods: We measured vessel diameter and number per unit area in transverse histological sections of stem wood, and calculated the proportion of vessel lumens, vessel composition (S), and theoretical specific hydraulic conductivity (Ks) of 10 E. globulus clones of high (HG) and low (LG) mean growth rates (measured as DBH) under field conditions. Main results: There was a difference in the range of variability in hydraulic anatomy between HG and LG clones, with LG clones showing a wider range. HG clones had wood with larger and fewer vessels and higher S compared to LG clones, with similar Ks between both growth groups. No clear or strong trends were observed between wood anatomy and DBH within the HG and LG groups, but across all clones a high correlation (Spearman coefficient r; p&lt;0.001) was observed between vessel number ‒ DBH (r= -0.68), and S ‒ DBH (r= 0.74). These correlations were driven by contrasting mean values of both growth groups. Research highlights: Commercial E. globulus clones present a relatively large variation in anatomical and hydraulic strategies. However, in contrast to what is postulated for various woody species, there was no clear relationship between theoretical hydraulic efficiency and individual diameter growth rate in the genotypes studied.

Association between Physical Activity Level, Body Composition, and Phase Angle in University Students from Bioelectrical Impedance Analysis (BIA).

Background: The aim of this study is to determine the relationship between selected components of body composition and the phase angle specified by bioelectrical impedance analysis, depending on the level of physical activity among students. Materials and Methods: The study group consisted of 484 university students from Krosno. The diagnostic survey method (IPAQ-SF), measurements of highs, and analysis of body composition components (BIA) were used. The relationship between variables was determined using the χ2 test, the V-Kramer coefficient, and Spearman's rho coefficient. Results: University students in physical education demonstrated the highest level of physical activity and the lowest incidence of excessive body mass. Among the participants, 28.1% did not engage in any physical activity, or their level was insufficient. The PhA level was correlated with lean body mass and muscle mass. The correlation between higher levels of PA and PhA values was statistically significant, as was the relationship between self-assessment of physical fitness and the level of PA determined by IPAQ-SF. Conclusions: Preventive actions and educational programs, especially about spending leisure time in active ways, should be particularly targeted at students of disciplines with a significant amount of sedentary classes.

Correlation of Fourier transform infrared spectroscopy data for optimizing Gramicidin production in corn kernel aqueous stream

In this work, an aqueous corn kernel stream (CKS) fermented in the presence of Aneurinibacillus aneurinilyticus was subjected to an extraction process with phosphate buffer saline (PBS) to evaluate the conditions that promote the production of Gramicidin (GR) in this aqueous stream. To do so, a fast and simple technique was used based on Fourier Transform Infrared Spectroscopy (FTIR) analysis combined with a statistical correlation treatment of the spectra in comparison with a standard spectrum of Gramicidin A (GR-A) and Gramicidin S (GR-S). The correlation analysis employed made it possible to obtain a similarity index using Pearson (PP) and Spearman (PS) coefficients for pairs of FTIR transmittance spectra, associated to different fermentation conditions. More favorable PPand PS similarity indices were obtained for pairs with GR-S rather than GR-A when compared with the samples under evaluation, observing that production of GR-S was promoted under high concentration of CKS (400 g/L) with similarity index of 0.752 and 0.813 for PPand PS, respectively, considering the FTIR spectra between 400 and 4000 cm−1, whereas low concentration of CKS (100 g/L) provided non favorable correlation factors (PP similarity indices lower than 0.4). The same behavior was observed when the study was considered between 1450 and 1750 cm−1 corresponding with the interval absorbance of amide I, amide II, and ammonium dominate bands in GR-S. Finally, matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) corroborated this correlation study, proving that FTIR could be an interesting tool for establishing the optimal conditions of biotechnological processes.

Developing and validating an assessment tool to measure climate change knowledge among middle school students: preliminary findings in a Spanish context

Considering the crucial role of education in offering mitigation and adaptation strategies for climate change, there is a clear need for objective tools to assess its impact on the understanding of the issue among secondary school students. This paper describes the methodological design used to build and validate an instrument that explores secondary education students’ climate change knowledge. The design is organized into several steps: literature and document review; item design; Expert judgment; pilot testing; and instrument quality criteria analysis. Thus, a questionnaire comprising 27 4-points Likert scale items was designed. Two rounds of pilot testing and statistical analyses were conducted on the difficulty indexes, factor analysis, Spearman coefficient (flit-half method), and alpha coefficient. The result is an instrument with a degree of feasibility, validity and reliability suitable for comparative research as was found in a Spanish macro-study involving 6398 secondary school students. Preliminary results for the Spanish context are offered.

Concentrations, Sources, and Health Risk of Heavy Metals in Edible Parts of Broilers from Northeast of Algeria.

Heavy metals contamination of poultry products is a major concern for public health. This study aimed to determine the concentration of mercury (Hg), lead (Pb), and iron (Fe) in the edible parts of broilers, as well as in feed, drinking water, and litter as sources of contamination and to assess their possible human health risk in the province of Jijel (Northeast Algeria). The range of Hg, Pb, and Fe in edible parts were 0.004-0.007, 0.185-0.480, and 28.536-88.306mg/kg, respectively, and the difference in content was only significant (p < 0.05) for lead. Breast and thigh samples had Pb concentrations above the maximum limit. Spearman coefficient analysis revealed that most correlations were positive between metals detected in feed, water, and litter and those in the edible parts of broilers. But most of them were insignificant (p > 0.05). The estimated daily intake (EDI) values of examined metal exceeded the tolerable daily intake (PTDI). The target hazard quotients (THQ) and hazard index (HI) of all metals were lower than 1, suggesting no significant carcinogenic risks. The calculated incremental lifetime cancer risk (ILCR) of Pb was higher than 10-4 for men, women, and children, indicating the presence of carcinogenic risk. Considering the wide consumption of broiler meat, regular national monitoring of heavy metals in the broiler production chain is recommended to protect population health.

Clinical Validation of Artificial Intelligence-Powered PD-L1 Tumor Proportion Score Interpretation for Immune Checkpoint Inhibitor Response Prediction in Non-Small Cell Lung Cancer.

Evaluation of PD-L1 tumor proportion score (TPS) by pathologists has been very impactful but is limited by factors such as intraobserver/interobserver bias and intratumor heterogeneity. We developed an artificial intelligence (AI)-powered analyzer to assess TPS for the prediction of immune checkpoint inhibitor (ICI) response in advanced non-small cell lung cancer (NSCLC). The AI analyzer was trained with 393,565 tumor cells annotated by board-certified pathologists for PD-L1 expression in 802 whole-slide images (WSIs) stained by 22C3 pharmDx immunohistochemistry. The clinical performance of the analyzer was validated in an external cohort of 430 WSIs from patients with NSCLC. Three pathologists performed annotations of this external cohort, and their consensus TPS was compared with AI-based TPS. In comparing PD-L1 TPS assessed by AI analyzer and by pathologists, a significant positive correlation was observed (Spearman coefficient = 0.925; P < .001). The concordance of TPS between AI analyzer and pathologists according to TPS ≥50%, 1%-49%, and <1% was 85.7%, 89.3%, and 52.4%, respectively. In median progression-free survival (PFS), AI-based TPS predicted prognosis in the TPS 1%-49% or TPS <1% group better than the pathologist's reading, with the TPS ≥50% group as a reference (hazard ratio [HR], 1.49 [95% CI, 1.19 to 1.86] v HR, 1.36 [95% CI, 1.08 to 1.71] for TPS 1%-49% group, and HR, 2.38 [95% CI, 1.69 to 3.35] v HR, 1.62 [95% CI, 1.23 to 2.13] for TPS <1% group). PD-L1 TPS assessed by AI analyzer correlates with that of pathologists, with clinical performance also being comparable when referenced to PFS. The AI model can accurately predict tumor response and PFS of ICI in advanced NSCLC via assessment of PD-L1 TPS.

Análisis del Liderazgo Gerencial y su influencia en el Desempeño Laboral: Caso empresa de fumigación

The general objective of this project is to analyze the type of managerial leadership and how it influences the performance of the employees of a fumigation company. The present project was made from a mixed approach, so it was necessary to use the quantitative and qualitative method and correlational scope, through this investigation it was possible to determine the relationship between leadership and job performance statistically through the Spearman coefficient method. Surveys were carried out on permanent workers and not eventual fumigation companies with various dimensions, applied to a sample of 43 people, measuring the two main variables, leadership style and job performance. It is concluded that there is a relationship between leadership style and work performance, for this reason several ideas were proposed so that there is an improvement in work performance, since there are proposals for communication and recognition of the best employee of the month, a corporate manual, a recruitment program be proposed with the objective that it is not carried out empirically.

Dermatology Quality of Life and Depression, Anxiety, and Stress Scale-42 in Scabies Patients.

Scabies is a pruritic skin infestation with a globally increasing prevalence. Sleep problems and impaired social and personal interactions, mainly due to itching, have been reported. We aimed to determine the influence of scabies on quality of life and psychosocial health using Dermatology Life Quality Index (DLQI) and Depression Anxiety and Stress Scale-42 (DASS-42) and analyze whether there is a correlation between the two scales and any sociodemographic and clinical characteristic. Scabies patients (>16 years) who presented to our outpatient clinics were enrolled. Age, sex, occupation, marital status, and education level and clinical features were recorded. DLQI and DASS-42 were used. Possible influence of demographic and clinical characteristics on total scores were analyzed. The Spearman coefficient analysis was performed to determine whether there is a correlation between these scores. Of 92 patients (mean age:37.76±15.355, Female/Male: 1.09/1), 63% were married and 35.9% were high-school graduates; 27.2% and 23.9% were housewives and officers, respectively. Disease was generalized in 57.6% and duration of disease was mostly <4 weeks. Mean DLQI and DASS-42 scores were 13.16±7.638 and 42.10±30.644, respectively. Symptoms/feelings were affected predominantly. DLQI was affected 'severely' in 41.3% of patients. Impairment of DLQI is a significant predictive parameter for higher DASS levels. Scabies is not only associated with impairment in DLQI but may also lead to psychosocial problems. All scabies patients should be evaluated and consulted-if needed-for possible problems of psychosocial status, including depression, anxiety, and stress, as well as clinical symptoms and secondary complications.

HVAC energy consumption prediction based on RJITL deep neural network model

During the operation of HVAC (Heating, Ventilation, and Air-Conditioning) systems, precise energy consumption prediction plays an important role in achieving energy savings and optimizing system performance. However, the HVAC system is a complex and dynamic system characterized by a large number of variables that exhibit significant changes over time. Therefore, it is inadequate to rely on a fixed offline model to adapt to the dynamic changes in the system that consume tremendous computation time. To solve this problem, a deep neural network (DNN) model based on Just-in-Time learning with hyperparameter R (RJITL) is proposed in this paper to predict HVAC energy consumption. Firstly, relevant samples are selected using Euclidean distance weighted by Spearman coefficients. Subsequently, local models are constructed using deep neural networks supplemented with optimization techniques to enable real-time rolling energy consumption prediction. Then, the ensemble JITL model mitigates the influence of local features, and improves prediction accuracy. Finally, the local models can be adaptively updated to reduce the training time of the overall model by defining the update rule (hyperparameter R) for the JITL model. Experimental results on energy consumption prediction for the HVAC system show that the proposed DNN-RJITL method achieves an average improvement of 5.17% in accuracy and 41.72% in speed compared to traditional methods.

Local, Quantitative Morphometry of Fibroproliferative Lung Injury Using Laminin.

Investigations into the mechanisms of injury and repair in fibroproliferative disease require consideration of the spatial heterogeneity inherent in the disease. Most scoring of fibrotic remodeling in preclinical animal models relies on the modified Ashcroft score, which is an ordinal rubric of macroscopic resolution. The obvious limitations of manual histopathologic scoring have generated an unmet need for unbiased, repeatable scoring of fibroproliferative burden in tissue. Using computer vision approaches on immunofluorescence imaging of the extracellular matrix component laminin, we generated a robust and repeatable quantitative remodeling scorer. In the bleomycin lung injury model, the quantitative remodeling scorer shows significant agreement with the modified Ashcroft scale. This antibody-based approach is easily integrated into larger multiplex immunofluorescence experiments, which we demonstrate by testing the spatial apposition of tertiary lymphoid structures to fibroproliferative tissue, a poorly characterized phenomenon observed in both human interstitial lung diseases and preclinical models of lung fibrosis. The tool reported in this article is available as a stand-alone application that is usable without programming knowledge.

Potential Association of Gut Microbial Metabolism and Circulating mRNA Based on Multiomics Sequencing Analysis in Fetal Growth Restriction.

Fetal growth restriction (FGR) is a significant contributor to negative pregnancy and postnatal developmental outcomes. Currently, the exact pathological mechanism of FGR remains unknown. This study aims to utilize multiomics sequencing technology to investigate potential relationships among mRNA, gut microbiota, and metabolism in order to establish a theoretical foundation for diagnosing and understanding the molecular mechanisms underlying FGR. In this study, 11 healthy pregnant women and nine pregnant women with FGR were divided into Control group and FGR group based on the health status. Umbilical cord blood, maternal serum, feces, and placental tissue samples were collected during delivery. RNA sequencing, 16S rRNA sequencing, and metabolomics methods were applied to analyze changes in umbilical cord blood circulating mRNA, fecal microbiota, and metabolites. RT-qPCR, ELISA, or western blot were used to detect the expression of top 5 differential circulating mRNA in neonatal cord blood, maternal serum, or placental tissue samples. Correlation between differential circulating mRNA, microbiota, and metabolites was analyzed by the Spearman coefficient. The top 5 mRNA genes in FGR were altered with the downregulation of TRIM34, DEFA3, DEFA1B, DEFA1, and QPC, and the upregulation of CHPT1, SMOX, FAM83A, GDF15, and NAPG in newborn umbilical cord blood, maternal serum, and placental tissue. The abundance of Bacteroides, Akkermansia, Eubacterium_coprostanoligenes_group, Phascolarctobacterium, Parasutterella, Odoribacter, Lachnospiraceae_UCG_010, and Dielma were significantly enriched in the FGR group. Metabolites such as aspartic acid, methionine, alanine, L-tryptophan, 3-methyl-2-oxovalerate, and ketoleucine showed notable functional alterations. Spearman correlation analysis indicated that metabolites like methionine and alanine, microbiota (Tyzzerella), and circulating mRNA (TRIM34, SMOX, FAM83A, NAPG) might play a role as mediators in the communication between the gut and circulatory system interaction in FGR. Metabolites (METHIONINE, alanine) as well as microbiota (Tyzzerella) and circulating mRNA (TRIM34, SMOX, FAM83A, NAPG) were possible mediators that communicated the interaction between the gut and circulatory systems in FGR.

Areas of professional life and job satisfaction of nurses.

Job satisfaction among nurses is closely related to work environment as well as organizational and professional commitment. Satisfaction is a concept derived from Latin, where "satis" means "enough," as much as is needed to fully satisfy expectations, needs, aspirations, in such a way that there is no room for complaint. Job satisfaction, on the other hand, is formulated as a positive attitude of employees toward the duties of the job, the work environment and other employees. The aim of this paper was to demonstrate how the different areas of nurses' professional life, i.e., workload, control, rewards, community, sense of justice and values, correlate with their perceived job satisfaction. A cross-sectional study was conducted in a group of 509 nurses working in a public hospital in Poland. Data were collected using a survey questionnaire, which consisted of a section containing sociodemographic data and standardized instruments: The Minnesota Satisfaction Questionnaire (MSQ) and The Areas of Worklife Survey (AWS) developed by Maslach and Leiter. Correlations were made using Spearman's rho coefficient. The calculations also used stepwise linear regression analysis after checking certain assumptions, including checking the assumption of normality of residuals and the Durbin-Watson Test. The mean score for the 20 items of the MSQ questionnaire ranged from 3.05 to 3.43 on a 5-point Likert scale. Support from the interdisciplinary team, which concerned assessing the quality of the social environment in the workplace, cooperation and showing positive feelings received the highest rating among respondents (3.51 ± 0.76). The sense of fair treatment at work averaged 3.26 ± 0.58. The area of value conflict within the organization itself or between the employee's values and those of the organization, respondents rated an average of 3.26 ± 0.65. The mean score for all areas of professional work in the surveyed group was 3.09 ± 0.45. As satisfaction in particular areas of work life increases, so does the level of satisfaction in such aspects of work as achievement and a sense of fairness. The higher the level of satisfaction in the area of control, the more the sense of satisfaction with independence increases. The higher the satisfaction of respondents in the areas of values, workload and control, the higher the level of satisfaction with working conditions occurs.

Evaluating the relationship between contouring variability and modelled treatment outcome for prostate bed radiotherapy.

Objectives.Contouring similarity metrics are often used in studies of inter-observer variation and automatic segmentation but do not provide an assessment of clinical impact. This study focused on post-prostatectomy radiotherapy and aimed to (1) identify if there is a relationship between variations in commonly used contouring similarity metrics and resulting dosimetry and (2) identify the variation in clinical target volume (CTV) contouring that significantly impacts dosimetry.Approach.The study retrospectively analysed CT scans of 10 patients from the TROG 08.03 RAVES trial. The CTV, rectum, and bladder were contoured independently by three experienced observers. Using these contours reference simultaneous truth and performance level estimation (STAPLE) volumes were established. Additional CTVs were generated using an atlas algorithm based on a single benchmark case with 42 manual contours. Volumetric-modulated arc therapy (VMAT) treatment plans were generated for the observer, atlas, and reference volumes. The dosimetry was evaluated using radiobiological metrics. Correlations between contouring similarity and dosimetry metrics were calculated using Spearman coefficient (Γ). To access impact of variations in planning target volume (PTV) margin, the STAPLE PTV was uniformly contracted and expanded, with plans created for each PTV volume. STAPLE dose-volume histograms (DVHs) were exported for plans generated based on the contracted/expanded volumes, and dose-volume metrics assessed.Mainresults. The study found no strong correlations between the considered similarity metrics and modelled outcomes. Moderate correlations (0.5 <Γ< 0.7) were observed for Dice similarity coefficient, Jaccard, and mean distance to agreement metrics and rectum toxicities. The observations of this study indicate a tendency for variations in CTV contraction/expansion below 5 mm to result in minor dosimetric impacts.Significance. Contouring similarity metrics must be used with caution when interpreting them as indicators of treatment plan variation. For post-prostatectomy VMAT patients, this work showed variations in contours with an expansion/contraction of less than 5 mm did not lead to notable dosimetric differences, this should be explored in a larger dataset to assess generalisability.

Satellite-based atmospheric characterization for sites of interest in millimeter and sub-millimeter astronomy

Context. Water vapor is the main source of atmospheric opacity for millimeter and sub-millimeter astronomy. Hence, several studies seek to effectively characterize it for site-testing purposes. In this task, reanalysis databases are quickly becoming a popular alternative to on-site measurements due to easy accessibility and the versatility of the data they provide. Aims. In the framework of validating the use of reanalysis data as a site-testing oriented tool, we perform a statistical comparison of atmospheric water vapor values obtainable from the MERRA-2 database with ground-based microwave radiometer measurements taken at two astronomical sites in Chile: Llano de Chajnantor, Atacama, and Cerro Paranal, Antofagasta. Methods. The MERRA-2 data were interpolated both vertically (across pressure levels) and geographically (latitude-longitude). For each site, different plots were generated: a direct temporal variation plot (to visually compare the data variation over time between both sources); a PWV versus PWV plot, fitting a linear fit through robust linear regression and calculating both the Pearson (r) and Spearman (ρ) correlation coefficients in order to look for correlations between both data sources; a histogram showing the distribution of the differences between the MERRA-2 data and the water vapor measurements (defined as APWV = PWVMERRA-2 − PWVsite), along with its standard deviation (σ), mean (µ), and median values, with the aim of better appreciating the similarities of the data sources over time; and a CDF plot to compare both data distributions disregarding time stamps. Finally, millimeter and sub-millimeter transmittance curves were created through the am atmospheric modeling software, which uses ozone and temperature data along with the verified water vapor data for the two studied sites as well as three other sites of interest for the next-generation Event Horizon Telescope: Las Campanas Observatory near La Serena, Chile; Valle Nevado, located near Santiago, Chile; and the General Bernardo O’Higgins base, located in Antarctica. Results. The interpolated MERRA-2 PWV values are highly correlated with the ground-based PWV values, with a Pearson coefficient greater than 0.9 and a Spearman coefficient higher than 0.85. However, their dependence is not linear, as PWVAPEX = m * PWV, with m being higher than 0.9 in both cases. The difference histograms show an almost zero-centered distribution for Llano de Chajnantor, with a µ value of −0.021 and a median value of −0.007. On the other hand, in Cerro Paranal, the difference histogram is slightly offset toward positive values, with µ value of 0.171 and a median value of 0.256. This offset is most likely due to the strong winds present in the site’s location, close to the Pacific Ocean. The transmittance curves show different performances depending on the site studied, with Cerro Chajnantor being the highest overall transmittance and Antarctica the lowest. Additionally, the transmittance profiles estimated for Cerro Chajnantor and Cerro Paranal were scaled using the PWV measurements, providing differences of less than 12% to the model data profiles. Results obtained at the Valle Nevado site suggest promising atmospheric conditions for stronomic observations in the millimeter and sub-millimeter range. Conclusions. The results we obtained show that the atmospheric water vapor estimation using MERRA-2 data can be used for site testing of new sites by evaluating the millimeter–sub-millimeter transmittance profile through vertical pressure correction and averaging the closest grid points to the site. This new method opens the door for future site-testing studies using MERRA-2 and potentially other reanalysis databases (e.g., ERA5) as reliable sources of information.

Evaluation of different approaches for sagittal skeletal discrepancy assessment

Introduction The accurate assessment of the sagittal jaw relationship between the maxilla and mandible plays a pivotal role in orthodontic diagnosis and treatment planning. Researchers have introduced both linear and angular measurements to establish a precise method for evaluating sagittal base discrepancies. Aim The aim was to assess the different approaches for sagittal skeletal discrepancy assessment. Material and methods The study included 180 pretreated lateral cephalometric radiographs of Egyptian orthodontic patients of both sexes with varying skeletal malocclusion patterns from the Orthodontic Department clinic at Tanta University. These radiographs were meticulously traced onto lead acetate paper using a 0.5 mm lead pencil and an LED tracing screen for adequate illumination. A total of 60 cephalometric radiographs were grouped based on the ANB angle into three skeletal categories: group 1 (class I, ANB° 2°–4°), group 2 (class II, ANB° &gt;4°), and group 3 (class III, ANB° &lt;2°). To analyze the data, each linear and angular parameter (including ANB°, Wits appraisal, AF-BF distance, APDI angle, Beta angle, Yen angle, and W angle) was compared among these three skeletal groups using the F test (analysis of variance), to compare between more than two groups, for normally distributed quantitative variable. Additionally, the Spearman coefficient test was employed to examine the correlations between various linear and angular measurements studied. Results All the performed parameters ANB, Yen, W, Beta, Wits appraisal, and AF-BF distance showed significantly differences for skeletal classes I, II, III. APDI angle differed significantly between both classes I and III and also classes II and III, but did not differ significantly between classes I and II. Strong correlations were found among the studied parameters except between Wits appraisal and AF-BF distance which showed nonsignificant correlation. Conclusion The previous parameters are equally important in terms of diagnosis and reliability, allowing them to serve as alternative analyses under challenging circumstances.

Best Estimate Plus Uncertainty Analysis of Station Blackout Transient in Pool-Type Research Reactor

Simulation of a station blackout (SBO) scenario was carried out for an open pool–type nuclear research reactor. The SBO transient was analyzed using the best estimate (BE) thermal-hydraulic code RELAP5/MOD3.2 to evaluate the performance of safety systems and inherent thermal inertia provided by the reactor pool in ensuring adequate core cooling during a prolonged SBO condition lasting up to 7 days. This encompasses assessment of cooling provided by battery-operated auxiliary pumps in the initial phase followed by setup of the natural convection cooling mode for the extended period. Best Estimate Plus Uncertainty (BEPU) methodology was applied for assessment of safety margins. This involved estimation of required simulations using the Wilks first-order formulation to achieve results within the tolerance limit of 95/95. Identification of relevant uncertainties and their propagation was carried out; subsequently, a case matrix for 59 simulation runs was generated using the Latin hypercube sampling method. The upper/lower bounds of uncertainty results were analyzed and compared with the BE code results. Later, sensitivity analysis was carried out using sensitivity coefficients generated using the Pearson and Spearman coefficient. The results show that the values of the crucial thermal-hydraulic parameters obtained with the tolerance limit of 95/95 met the acceptance criteria, with adequate safety margins.

Leadership and Job Satisfaction of Lecturers in Semarang

This research aims to investigate the relationship between leadership styles and job satisfaction of lecturers in higher education institutions. Employing a quantitative research approach, data were collected using two scales: a leadership scale and a job satisfaction scale. The research involved 60 respondents selected through accidental sampling. The results reveal a highly significant positive correlation between leadership and job satisfaction of lecturers, indicating that better leadership is associated with higher job satisfaction among lecturers, and vice versa. This is evident from the Spearman's Rho coefficient of 0.173 with a significance level of 0.000 (P &lt; 0.01).