Coefficient Correlation Research Articles

Between-session reliability of dry-land and in-water tests to measure inter-limb asymmetries in swimmers

ABSTRACT The aims of the present study were to: i) analyse the between-session reliability of dry-land and in-water swimming tests, and ii) investigate the prevalence of meaningful asymmetries in swimming athletes. Twenty-eight swimmers (21 males, 7 females) performed anthropometric, shoulder range of motion (ROM), countermovement jump, shoulder isokinetic torque, and 15-s tethered swimming tests two times, 1 week apart. Inter-limb asymmetries were calculated for each variable. Raw data reliability was determined using the intraclass coefficient correlation (ICC) and the typical error of measurement (TEM), and effect size (ES) was used to determine systematic bias between test sessions. At an individual level, inter-limb asymmetries were compared to the coefficient of variation (CV) to determine whether they were real. The between-session reliability was good to excellent (0.75 to 1.00) for most of the raw data, except for ROM. Between-session ES was predominately “trivial” or “small” for raw data and asymmetries, reinforcing that the values did not change significantly between the sessions. In addition, real asymmetries were seen in some tested metrics, depending on the test. In conclusion, the tested variables presented good levels of between-session reliability and were able to detect real and consistent asymmetries.

Automatic segmentation of hemorrhagic transformation on follow-up non-contrast CT after acute ischemic stroke.

Hemorrhagic transformation (HT) following reperfusion therapies is a serious complication for patients with acute ischemic stroke. Segmentation and quantification of hemorrhage provides critical insights into patients' condition and aids in prognosis. This study aims to automatically segment hemorrhagic regions on follow-up non-contrast head CT (NCCT) for stroke patients treated with endovascular thrombectomy (EVT). Patient data were collected from 10 stroke centers across two countries. We propose a semi-automated approach with adaptive thresholding methods, eliminating the need for extensive training data and reducing computational demands. We used Dice Similarity Coefficient (DSC) and Lin's Concordance Correlation Coefficient (Lin's CCC) to evaluate the performance of the algorithm. A total of 51 patients were included, with 28 Type 2 hemorrhagic infarction (HI2) cases and 23 parenchymal hematoma (PH) cases. The algorithm achieved a mean DSC of 0.66 ± 0.17. Notably, performance was superior for PH cases (mean DSC of 0.73 ± 0.14) compared to HI2 cases (mean DSC of 0.61 ± 0.18). Lin's CCC was 0.88 (95% CI 0.79-0.93), indicating a strong agreement between the algorithm's results and the ground truth. In addition, the algorithm demonstrated excellent processing time, with an average of 2.7 s for each patient case. To our knowledge, this is the first study to perform automated segmentation of post-treatment hemorrhage for acute stroke patients and evaluate the performance based on the radiological severity of HT. This rapid and effective tool has the potential to assist with predicting prognosis in stroke patients with HT after EVT.

Laboratory study of aberration calculation in underwater turbulence using Shack-Hartmann wavefront sensor and Zernike polynomials

This paper presents a laboratory study of the aberrations calculation in underwater turbulence using the Shack-Hartmann wavefront sensor. The wavefront decomposition method and Zernike polynomials determine the aberration parameters. In our experimental setup, the turbulent phase screen generator is located in two locations: near the transmitter and therefore far from the receiver, and near the receiver and consequently far from the transmitter. Additionally, we investigate the impact of aperture diameter on turbulence-induced aberrations in the optical receiver system. However, it is essential to note that the coefficients of Zernike polynomials obtained using this method are subject to errors caused by receiver sensor noise and correlation between the polynomials. To address this, we first calculate the coefficients in different arrangements and then correct measurement errors arising from sensor noise and polynomial coefficient correlation.

Appraisal of reservoir quality for hydrocarbon-bearing deep-water Miocene sandstones incised valley, south-east Asian offshore Indus: An application of seismic attributes and instantaneous spectral porosity quantitative reservoir simulations

Incised marine valleys (IVS) are hot topics in exploring the stratigraphic oil and gas-bearing plays. Multiple channelized sandstone lenses at varying depths [m], thicknesses [m], and porosities [%] constrain seismic impedance. The presence of hydrocarbon-bearing resources affects the seismic impedance (density (g/cc) and velocity (m/s)). Therefore, a quantitative prediction has been carried out for determining the thickness [m], porosity [%], and depths [m] of laterally distributed channelized sandstone lenses (SLS) for IVS, Indus offshore Basin (IOB), Pakistan, using 2-D instantaneous spectral porosity quantitative modelling (2DSSM), continuous wavelet transforms-based (CWT) 2-D instantaneous spectral density modelling (2DSSDM), and spectral decomposition tools. The 2DSSM remained limited in predicting the number of channelized sandstone lenses and their quantitative stratigraphic attributes. The 45-Hz-based processing of conventional 2DSSM has resolved the two channelized sandstone lenses of the stratigraphic trap. The deepest channelized sandstone lens has attained 1–6 m thickness with a lateral extent of 3 km, within the porosity range of 18–33 %. The highest confidence level for predicted petrophysical attributes such as 13 m-thick pay zones, −0.08, −0.067, and −0.07 acoustic impedances [g/c.c.*m/s], and 28 % porosities with R2 > 0.85 have validated interpretations. The response of 45-Hz CWT waveform-based inverted density and thickness simulations has predicted the highest thicknesses and lowest densities of reservoir sandstones within the meandering channel belt of the deepwater depositional system. The predicted densities and thicknesses for the coarse-grained sandstone lenses of point bars were 1.8–1.9 g/cc and 15 m, respectively. In the same way, the quantitative estimates of predicted density and simulated thickness have shown a strong coefficient correlation (R2 > 0.80), which confirms the presence of gas-bearing prospects within the IVS. The facies-controlled migration is thought to be the movement of the reservoir facies of the point bars and channelled sandstone-filled lenses to the side.

Cross-cultural validity of the Dutch sleep-related breathing disorder scale of the Pediatric Sleep Questionnaire in a general population

BackgroundPediatric sleep-disordered breathing is associated with multiple health problems. Polysomnography is the reference standard for identifying this disorder, but availability is limited. Therefore, an alternative screening tool is needed. Globally, the Sleep-Related Breathing Disorder scale of the Pediatric Sleep Questionnaire (PSQ) has proven to be a feasible tool. Consequently, this study aimed to translate and culturally adapt the PSQ into Dutch and then to examine the cultural validity, internal consistency, and test-retest reliability of the Dutch version among a general population visiting oral healthcare centers. MethodsThe translation, review, adaptation, pretest, and documentation approach was used to ensure cross-cultural adaptation of the PSQ. Then, 220 children (2.4–18 years) were sampled for clinimetric evaluation. We estimated the cross-cultural validity by comparing the factor analyses of the original PSQ and the Dutch version. Reliability was assessed using Cronbach's alpha, Spearman's correlation, the intraclass correlation coefficient, the standard error of measurement, and a Bland-Altman plot. ResultsThe factor loading patterns of the Dutch version matched with the original study around the four predetermined factors: breathing, sleepiness, behavior, and other. The internal consistency, with a Cronbach's α of 0.77, was acceptable. The test-retest reliability with an intraclass correlation coefficient and Spearman's correlation of 0.89 and 0.93, respectively, was good to excellent. ConclusionsCultural adaptation was ensured and the results support cross-cultural validity, internal consistency, and test-retest reliability of the Dutch Sleep-Related Breathing Disorder scale of the PSQ. This questionnaire could therefore be a valuable tool for screening disordered breathing in Dutch children.

Perceived Stress and Resilience of Criminology Teachers and Students during Covid-19 Pandemic

Due to the COVID-19 pandemic, education has undergone rapid and profound changes, leading to feelings of uncertainty, anxiety, social isolation, and potentially detrimental behaviors that undermine well-being. In this situation, it is essential to understand the link between perceived stress and resilience among vulnerable populations, including teachers and students, as society navigates the new normal in delivering high-quality education. Furthermore, since little scholarly attention has been invested in understanding the impact of the pandemic on Criminology teachers and students, targeted studies are necessary. Thus, this descriptive-correlation study assesses the perceived stress and resilience among Criminology teachers and students in Negros Occidental (Western Visayas, Philippines) during the pandemic. To this end, a total of 2000 respondents voluntarily answered the survey questionnaire used by the researcher – 124 Criminology teachers using the total enumeration technique and 1876 students using the simple random process among the eleven schools in Negros Occidental offering Criminology Program. The data was collected through Google Forms because travel restrictions and quarantine were still imposed during the study. The study used the frequency and percentage in terms of the profile of the respondents, mean and standard deviation to determine the level of perceived stress and resilience, and coefficient correlations for significant correlations and disparity. The findings revealed that Criminology teachers had a moderate level of perceived stress and resilience, indicating their ability to manage stress and cope with teaching challenges during the pandemic. Conversely, students experienced a high-stress level, particularly among females, while demonstrating moderate resilience. Furthermore, a notable disparity was found between teachers' and students' stress levels and resilience, affirming that the latter are more resilient, albeit more stressed, because finishing their degree during the pandemic signifies a remarkable achievement for them. These results underscore the need for tailored interventions that effectively manage stress and promote the development of coping mechanisms. By acknowledging the unique stressors Criminology students face and harnessing their inherent resilience, educational institutions would be able to support their success and well-being during these challenging times.

Evaluation of the optimal number of steps to obtain reliable running spatio-temporal parameters and their variability

BackgroundSpatio-temporal running parameters and their variability help to determine a runner's running style. However, determining whether a change is due to the measurement or to a specific condition such as an injury is a matter of debate, as no recommendation on the number of steps required to obtain reliable assessments exists. Research questionWhat is the optimal number of steps required to measure different spatio-temporal parameters and study their variability at different running speeds? MethodsTwenty-five runners performed three experimental sessions of three bouts of treadmill running at 8, 10 and 12 km/h separated by 24 h. We measured cadence, stride, step, contact and flight time. We calculated the duty factor and the leg stiffness index (Kleg). Mean spatio-temporal parameters and linear (coefficient of variation, standard deviation) and non-linear (Higuchi fractal index, α1 coefficient of detrended fluctuation analysis) analyses were computed for different numbers of steps. Relative reliability was determined using the intraclass coefficient correlation. The minimal number of steps which present a good reliability level was considered as the optimal number of steps for measurement. Absolute reliability was assessed by calculating minimal detectable change. ResultsTo assess the mean values of spatio-temporal running parameters, between 16 and 150 steps were required. We were unable to obtain an optimal number of steps for cadence, stride and step-time variabilities for all speeds. For the linear analyses, we deduced the optimal number of steps for Kleg and the contact time (around 350 steps). Non-linear analyses measurements required between 350 and 540 steps, depending on the parameter. SignificanceResearchers and clinicians should optimize experimental conditions (number of steps and running speed) depending on the parameter or the variability analysis targeted. Future studies must use absolute reliability metrics to report changes in response to a specific condition with no bias due to measurement error.

Health and Wellness Coaching Can Improve Usage of Positive Airway Pressure Therapy in Participants With Obstructive Sleep Apnea and Obesity

Obstructive sleep apnea (OSA) has been tied to chronic conditions, such as obesity. Although continuous positive airway pressure (CPAP) device is an effective treatment, device discomfort impacts treatment adherence. Health and wellness coaching (HWC) can increase weight loss (WL) and adherence across other treatment types. This study aims to determine whether participants undergoing an HWC program improve CPAP device usage and WL compared to control group (CG). Participants were randomly selected to participate in the HWC group in conjunction with standard care. The HWC participants were gender, age, weight, CPAP usage (e.g., hours, days), and race matched to CG participants receiving standard care only. Variables collected include demographics (i.e., age, gender), CPAP device usage, and weight across four time points (baseline, 3-, 6-, and 9-months). Paired samples t-test and Pearson’s coefficient correlation were conducted to determine how outcomes differ between groups. Of 232 participants studied, those in the HWC group significantly increased CPAP usage over time ( P < .001) vs CG (6.5 ± 1.8, and 5.0 ± 2.3 hours, respectively). The HWC group had significantly more weight loss (11.0 ± 14.5 lbs.) than CG (5.7 ± 16.1 lbs.) across the 9-month timeline ( P < .001). This study provides evidence that HWC can improve CPAP adherence and weight loss.

Reliability and Validity of the Turkish Translation of the PedsQL™ 3.0 Neuromuscular Module for 2-to 4-Year-Olds in Spinal Muscular Atrophy.

The Pediatric Quality of Life Inventory™ (PedsQL™) Neuromuscular Module (PedsQL™ 3.0 NM) evaluates the health-related quality of life in children who are affected by neuromuscular diseases. This study's aim is to assess the adaptation of the PedsQL™ 3.0 NM Turkish version (PedsQL™ 3.0 NM-TR) for 2- to 4-year-olds in spinal muscular atrophy (SMA). The procedure of translating the PedsQL™ 3.0 NM into Turkish was conducted in accordance with the translation methodology outlined by the PedsQL™ measurement model. The PedsQL™ 3.0 NM-TR was administered to 54 parents of children with SMA aged 2 to 4 years. The test-retest reliability and intraclass correlation coefficient (ICC) were measured for reliability analysis. Cronbach's α coefficient and item score correlations were calculated for internal consistency. Concurrent construct validity was evaluated by Pearson correlations between the outcomes of the PedsQL™ 4.0 Generic Core Scale (PedsQL™ 4.0 GCS) and the PedsQL™ 3.0 NM. The PedsQL™ 3.0 NM-TR total score shows excellent reliability. The Cronbach's α values for the PedsQL™ 3.0 NM ranged between 0.871 and 0.906, while those for the PedsQL™ 4.0 GCS ranged between 0.843 and 0.897. Test-retest ICC values for the PedsQL™ 3.0 NM-TR ranged between 0.812 and 0.917, and for the PedsQL™ 4.0 GCS ranged between 0.773 and 0.899. The relationship between the PedsQL™ 3.0 NM-TR and the subscores of the PedsQL™ 4.0 GCS demonstrated a range of correlations from excellent to fair, indicating the interplay between two scales. This study established the PedsQL™ 3.0 NM-TR as reliable, valid, and feasible for use in children aged 2 to 4 years with SMA.

Translation and Determination of Psychometric Properties of the Persian Version of Measuring the Caring Behaviors Scale for Health Care Students and Providers

Introduction: Measurement of caring behavior can not only be useful for the measurement of the caring behavior of students and employees of the healthcare system but can also be used to identify and provide timely information about the status of these behaviors in students and employees to carry out interventions and modify policies. The present study aimed to translate and determine the psychometric properties of the Persian version of the caring behavior scale on healthcare students and providers. Methods: This methodological study was carried out in 2023 with the participation of 330 students and employees of Mashhad University of Medical Sciences, Mashhad, Iran who were selected using the convenience sampling method. The instrument was translated using the forward-backward method. The final version of the scale was checked in terms of validity (content, face, and construct validity [using confirmatory factor analysis]) and reliability (Cronbach's alpha, test-retest, and intraclass correlation) in SPSS software (version 25) and AMOS software (version 24). Results: In reviewing the face validity, scores of all items were higher than 1.5. content validity of all items was accepted, and the factor loading of all the items was higher than 0.4; therefore, all the items were retained. The goodness of fit indices of the model indicated the approval of the model and its good fit (GFI: 0.884, NFI: 0.911, CFI: 0.921, and RMSEA: 0.07). Reliability of the scale was confirmed by Cronbach's alpha coefficient, test-retest, and intra-cluster correlation of 0.84, 0.86, and 0.83, respectively. Conclusion: Psychometric features of the Persian version of the CBS-HSP scale were favorable. Therefore, it can be used in future studies to measure the care behaviors of the Persian population and also evaluate effective interventions on this outcome.

Profiling effects of filtering noise labels on learning performance

Deciding whether a label in a dataset is noisy or not depends on factors such as filtering levels, data patterns, relabeling policies, and pre-defined regulations. By focusing on filtering acceptance levels (FAL), a decision support model (named DSM-ENL) is proposed and implemented on real datasets that are granulated, dealing with noise label detection and profiling effects of 50 FALs (51 %–100 %) on noise rate (NoR), classification accuracy (CA), and area under ROC curve (AUC). A case used to demonstrate the DSM-ENL is illustrated, followed by experiments on 27 unsupervised and 29 supervised granulated datasets using five classifiers with 70 %–30 % training and testing criteria. The findings revealed that: (1) the best CAs among classifiers vary with FALs; (2) NoR, CA, and AUC oscillate as FAL increases; (3) lower FAL boundaries (from 0.51 to 0.60) are more likely to lead to higher CAs; and (4) correlation of coefficient among dataset characteristics, FAL, NoR, CA, and AUC are not high compared to that of CA and NoR and that of CA and AUC. The research demonstrates the value of profiling the effects of FALs applied for noise-label datasets on learning performance.

PEWARISAN RUGAE PALATINA ORANGTUA PADA ANAK SEBAGAI SARANA IDENTIFIKASI ODONTOLOGI FORENSIK PADA ETNIS BANJAR

Background: Rugae palatine is a forensic organ that can survive and not be altered by any trauma such as from burns. Rugae palatina is one of the organs in the oral cavity that is unique in that there is no same pattern between individuals. This pattern also has peculiarities between individuals and gender. Palatine rugae can also be inherited from parents to children. Purpose: To analyze the inheritance of palatine rugae from parents to children in Banjar Ethnicity. Method: The method used in this research is analytic research with cross sectional method. This study was conducted on 32 families or 96 people whose number of students was divided into 16 men and 16 women. This study was conducted with photographic techniques using fullframe cameras and lenses, occlusal mirrors, LED lights. The results of photography are carried out in the editing stage in the photoshop application with the pentool feature. The data obtained and analyzed using the contingency coefficient correlation test. Results: The results showed a correlation in palatal rugae patterns. The father-offspring and mother-offspring contingency coefficient scores (0.708, 0.760) respectively which indicated a strong correlation in shape patterns between offspring and their parents. These correlations were statistically significant (p value ≤ 0.05). Conclusion: There is a strong and significant inheritance of palatine rugae between father and mother in children. Fathers and mothers have an equal chance of inheriting palatine rugae.Keywords : Banjar Tribe, Forensics, Inheritance, Palatine Rugae, Personal Identification.

Modeling and prediction of tribological properties of copper/aluminum-graphite self-lubricating composites using machine learning algorithms

The tribological properties of self-lubricating composites are influenced by many variables and complex mechanisms. Data-driven methods, including machine learning (ML) algorithms, can yield a better comprehensive understanding of complex problems under the influence of multiple parameters, typically for how tribological performances and material properties correlate. Correlation of friction coefficients and wear rates of copper/aluminum-graphite (Cu/Al-graphite) self-lubricating composites with their inherent material properties (composition, lubricant content, particle size, processing process, and interfacial bonding strength) and the variables related to the testing method (normal load, sliding speed, and sliding distance) were analyzed using traditional approaches, followed by modeling and prediction of tribological properties through five different ML algorithms, namely support vector machine (SVM), K-Nearest neighbor (KNN), random forest (RF), eXtreme gradient boosting (XGBoost), and least-squares boosting (LSBoost), based on the tribology experimental data. Results demonstrated that ML models could satisfactorily predict friction coefficient and wear rate from the material properties and testing method variables data. Herein, the LSBoost model based on the integrated learning algorithm presented the best prediction performance for friction coefficients and wear rates, with R2 of 0.9219 and 0.9243, respectively. Feature importance analysis also revealed that the content of graphite and the hardness of the matrix have the greatest influence on the friction coefficients, and the normal load, the content of graphite, and the hardness of the matrix influence the wear rates the most.

Total valproate versus free valproate in therapeutic drug monitoring for bipolar disorder: A cross-sectional study.

The debate about observing total versus free serum valproate levels for therapeutic drug monitoring (TDM) has been unresolved for decades. This study was planned to assess the agreement between the total versus free valproate levels and the advantage of one method over the other in TDM. The present cross-sectional study was done on 93 patients with bipolar disorder. The intraclass correlation coefficient, Bland Altman analysis, and Lin's concordance analysis were done to assess the agreement between the total and free valproate concentrations. Linear and polynomial models were constructed to evaluate the relation between the two measurements. Receiver operating characteristics analysis was done to compare the accuracy for differentiating remission from non-remission on Young's mania rating scale (YMRS). The intraclass correlation coefficient and Lin's concordance correlation coefficient were 0.491 (p = .002) and 0.055 (95% CI:0.037, 0.073), respectively. Bland Altman's analysis showed proportional bias. A polynomial model of second order was found to be the best fit for the prediction of free valproate from the data for total valproate, and 81.4% of the variability in free valproate could be explained when adjusted for albumin levels. The area under the curve for total valproate was 0.60 when compared to free valproate 0.56 for differentiating between remission and non-remission, but the comparison between the two ROC analyses was not statistically significant. Free valproate does not provide any added advantage over the total valproate levels; hence, total valproate levels may continue to be used as the marker for drug monitoring.

Short-term memory depends on the level of emotional burnout

IntroductionEmotional burnout refers to a syndrome caused by chronic stress. The formation of emotional burnout may lead to persistent changes in cognitive activity and particularly in memory and attention.ObjectivesAs the power of human EEG-spectrum components varies significantly under cognitive testing, the aim of our study was to investigate the dynamics of changes of EEG parameters under a memory task depending on the severity of burnout.Methods42 healthy volunteers (students aged 18 to 24 years) participated in this study. EEG was registered over a period of 3 minutes during the rest state and 10 minutes during a verbal memory task. The spectral power density (SPD) of all frequencies from 0.2 to 35 Hz was estimated. The Mann-Witney criterion was carried out for the comparison of the independent data samples. The correlations were estimated using the Spearmen’s coefficient correlation. In order to determine the stages of burnout we used the test “Syndrome of emotional burnout” (by Boyko), adapted for students.ResultsWe observed variations in parameters of EEG during memorizing and retention phases depending on the intensity of the burnout. The intensity of the Exhaustion stage varied inversely with SPD in alpha3 (parietal and temporal regions), beta1 (parietal regions) and beta2 (parietal, right occipital and temporal regions) during the memorizing phase. The formation of the Exhaustion stage of burnout was accompanied by a decrease in alpha3 (parietal, left occipital and right temporal regions), beta1 (parietal, occipital and left temporal regions) and beta2 (parietal regions) during the retention phase.ConclusionsOur data indicate that short-term memory depends on the emotional state of subjects.Disclosure of InterestNone Declared

Estimation of the Proton Resonance Frequency Coefficient in Agar-based Phantoms.

Agar-based phantoms are popular in high intensity focused ultrasound (HIFU) studies, with magnetic resonance imaging (MRI) preferred for guidance since it provides temperature monitoring by proton resonance frequency (PRF) shift magnetic resonance (MR) thermometry. MR thermometry monitoring depends on several factors, thus, herein, the PRF coefficient of agar phantoms was estimated. Seven phantoms were developed with varied agar (2, 4, or 6% w/v) or constant agar (6% w/v) and varied silica concentrations (2, 4, 6, or 8% w/v) to assess the effect of the concentration on the PRF coefficient. Each phantom was sonicated using varied acoustical power for a 30 s duration in both a laboratory setting and inside a 3T MRI scanner. PRF coefficients were estimated through linear trends between phase shift acquired using gradient sequences and thermocouple-based temperatures changes. Linear regression (R 2 = 0.9707-0.9991) demonstrated a proportional dependency of phase shift with temperature change, resulting in PRF coefficients between -0.00336 ± 0.00029 and -0.00934 ± 0.00050 ppm/°C for the various phantom recipes. Weak negative linear correlations of the PRF coefficient were observed with increased agar. With silica concentrations, the negative linear correlation was strong. For all phantoms, calibrated PRF coefficients resulted in 1.01-3.01-fold higher temperature changes compared to the values calculated using a literature PRF coefficient. Phantoms developed with a 6% w/v agar concentration and doped with 0%-8% w/v silica best resemble tissue PRF coefficients and should be preferred in HIFU studies. The estimated PRF coefficients can result in enhanced MR thermometry monitoring and evaluation of HIFU protocols.

Translation and Validation of the Sinus and Nasal Quality of Life Surgery Survey in Serbian.

The aim of this study was to translate the Sinus and Nasal Quality of Life Surgery Survey into the Serbian language to evaluate the test-retest reliability and validity. The study included 49 consecutive patients between 12 and 18 years old with rhinologic symptoms. Patients were given a paper survey to complete along with a link to complete the online survey within the same day. The study was conducted at the University Children's Hospital Clinic for Pulmonology and Allergology between January 2023 and March 2023. Responses between the paper and online survey were compared and regression analysis was performed to evaluate the relationship. Internal reliability and test-retest reliability were assessed using Cronbach's α coefficient and intraclass correlation coefficient. All data were collected and analyzed using SPSS 29.0. Pearson correlation coefficient between the paper and online survey was very high and statistically significant (r = 0.999; P < .001). Each item had a high correlation (0.993-1.000), where the lowest correlation coefficient was obtained from question 2 (0.993). Average scores in each item differed slightly for only item 2 (mean difference = -0.041), but not to the level of statistical significance. Bland-Altman plot indicated no proportional bias between the 2 versions. Linear regression analysis suggested a high level of agreement between the 2 versions (slope = 1.00, R 2 = 0.999). The survey is a useful questionnaire to evaluate the quality of life in patients with rhinologic symptoms. The high correlation between the paper and online survey shows the reliability of the questionnaire regardless of administration modality.

Perancangan Antarmuka Aplikasi Mobile Perguruan Tinggi Menggunakan Kansei Engineering (Studi Kasus: STIS Nahdatul Ulama Cianjur)

Mobile Apps program-based has given a major influence towards the education sector, specifically in general information about college, especially in stakeholder needs. On the other hand, it also assists in reading the latest events and news, the notification of class schedules, also the information of grades and attendances. The focus of this research is to analyze user preferences including increasing user satisfaction, user retention and design preferences for the interface of Sekolah Tinggi Ilmu Syariah Nahdatul Ulama College mobile app using the Kansei Engineering Type 1 method. The study used Kansei engineering method was conducted to analyze various emotional factors relating to the interface of users by comparing five specimens of college’s mobile apps. A total of twenty kansei words were found from thirty Kansei words based on the selection of UI/UX experts. The data obtained is then analyzed using multivariate statistical methods, such as Cronbach's Alpha (CA), Coefficient Correlation Analysis (CCA), and Factor Analysis (FA). The result is four Kansei words that are influential and have the greatest value, namely Dynamic, Impressive, Professional, and Formal. One selected Kansei word produces recommendations for the appearance of the mobile application interface Sekolah Tinggi Ilmu Syariah Nahdatul Ulama The analysis was conducted on all participants with a focus on the "Formal" emotion concept.

Turkish adaptation of the Fall Prevention Knowledge Test

Purpose: This study aims to test the Turkish validity and reliability of the Fall Prevention Knowledge Test assessing the knowledge level of nurses in the clinical setting regarding fall prevention. &#x0D; Materials and Methods: This study was carried out with nurses working at a university hospital between 16 February and 31 March 2022. The study group consisted of 250 nurses, who had been working as nurses for at least six months and voluntarily agreed to participate in the study. The study data was collected by using The Nurse Information Form and Fall Prevention Knowledge Test. Content validity, item difficulty and item discrimination indices, KR-20 coefficient, and intra-class correlation coefficient were used in the data analyses. &#x0D; Results: It was determined that 75.2% of the nurses participating in the study were female, 50.8% were married, and 75.6% had a bachelor’s degree. The mean age of the nurses participating in the present study was 29.22±6.55 years, the mean work experience was 6.84±6.60 years, and the mean weekly working hours were 44.10±6.76 hours. It was found that 96.8% of the nurses knew about the risk of fall, and 96.0% knew about fall prevention practices. The content validity index of the test was found to be 0.836 and the KR-20 reliability coefficient for the scale was calculated to be 0.713.&#x0D; Conclusions: The Fall Prevention Knowledge Test (11 items) is a valid and reliable test for measuring the knowledge level of nurses working in hospitals in Türkiye.

Classroom Management and Teaching Competencies of Elementary Teachers

Teachers are the most essential persons for the teaching and learning processes to take place in schools. Specifically, this study sought to determine the level of the teachers in classroom management in terms of behavior reduction, classroom instruction, proactive classroom, and rules and procedures; find out the level of the teachers in teaching competencies in terms of communication and interpersonal skills, organization and planning, facilitation and engagement, and flexibility and adaptability; and determine the significant relationship between classroom management and teaching competencies. The respondents were one hundred fifty (150) elementary teachers in eighteen (12) schools within the Talisayan district. This study used two adapted research instruments and data were gathered using descriptive-correlational research methods. The statistical tools utilized in this study were the Weighted Mean and Standard Deviation and Pearson Product Moment Coefficient Correlation the relationship between the Teachers’ Classroom Management and Teaching Competencies. The results showed that teachers at all times practiced managing classroom management effectively with the aid of their teaching competencies at a very high level. Teachers’ classroom management has positively correlated to teachers’ teaching competencies. The relationship of classroom management and teaching competencies cannot be denied. Therefore, it must be given due importance and attention for better teacher performance as well as pupils performance.