Perfect Correlation Research Articles

Analisis Hubungan Mahasiswa KKN dengan Motivasi Belajar Siswa di SMPN 3 Maliku

This research discusses the relationship between KKN students and the learning motivation of students at SMPN 3 Maliku. The purpose of this research is to determine whether there is a relationship between KKN students and the learning motivation of students at SMPN 3 Maliku using correlation tests, to see the relationship and how strong that relationship is. Using a quantitative research method with a PAR approach, the data collection technique employs a questionnaire with a Simple Random Sampling selection and determines the sample size using the Solvin Formula. The results of this study indicate that there is a relationship between KKN students and students' learning motivation of 0.877, which means that KKN students have a perfect relationship or correlation.

Experimental Analysis of EDM Parameters on D2 Die Steel Using Nano-aluminum Composite Electrodes

This paper presents an experimental study on the electrical discharge machining (EDM) of AISI D2 die steel using an Al-Ni composite electrode. The investigation focuses on the influence of input parameters like current, pulse duration, and pulse interval, on key output parameters such as material removal rate (MRR), tool wear rate (TWR), and surface roughness (SR). EDM oil was employed as the dielectric fluid. Grey relational analysis (GRA) was utilized for designing and conducting the experiments using the Taguchi L9 method. The ANN model showed excellent predictive accuracy with a perfect correlation coefficient (R) of 1.00, indicating strong capability in forecasting MRR based on machining parameters. GRA further confirmed that higher current settings and longer pulse-off times effectively reduce tool wear, suggesting that the ANN model accurately reflects the conditions that minimize TWR. The ANN model achieved strong predictive accuracy for SR, with high correlation coefficients, although with slightly higher mean squared error (MSE) in testing.

Hubungan Penggunaan Gadget Terhadap Potensi Gangguan Pemusatan Perhatian Dan Hiperaktivitas Pada Anak Prasekolah Dipaud Bougenville Cawang

This study examines the relationship between gadget use and the potential for Attention Deficit and Hyperactivity Disorders (GPPH) in preschool children. The American Academy of Pediatrics recommends gadget use for preschoolers for no more than 1 hour per day. Gadget addiction can affect a child's brain development because excessive production of the hormone dopamine disrupts the maturity of the prefrontal cortex function, namely controlling emotions, self-control, responsibility, decision making and other moral values. Excessive use of gadgets can also cause problems such as ADHD. The intensity of gadget use was measured using a gadget usage habits questionnaire and GPPH using the Abbreviated Conners Rating Scale (ACRS). This study used a cross-sectional design with 27 respondents in PAUD Bougenville, Cawang with a percentage of 100%, and as many as 29.6% had normal results with a total of 8 children and as many as 70.4% had potential ADHD results with a total of 19 people. Based on the Kendall Tau test, the p-value was 0.005 < 0.05. The results of the correlation test between the gadget intensity variable and the potential for GPPH show that between the variables there is a correlation coefficient (R) of 1,000. This can mean that there is a perfect correlation between the two variables with a strong and significant level of relationship because of the sig value. less than 0.05. It is concluded that there is a significant relationship between gadget use and the risk of attention deficit hyperactivity disorder in preschool children

The status of verbal theme vowels in contemporary linguistic theorizing: some recent developments. An introduction.

Contemporary theoretical approaches to morphology have devoted considerable attention to verbal theme vowels, i.e., the issue of whether they can be shown to possess identifiable syntactic or semantic properties. The position that theme vowels are items without syntactic or semantic import has profound theoretical consequences, entailing the existence of an autonomous component of Grammar dedicated to Morphology (Aronoff 1994, Anderson 1992, Embick and Halle 2003). Approaches that dispense with a separate morphological module must assume that theme vowels do, in fact, have discernible semantic contributions (Jabłońska 2004, 2007). In this paper, we review the arguments from both sides in order to set the stage for and critically examine a series of new contributions published in this Special Collection. On balance, evidence of a link between theme vowels and particular meaning components (either aspect or argument structure) can be observed, though only in the form of (often very strong) tendencies, which figure most prominently in ‘minimal pairs’ of verbs differing only in their theme vowel. We highlight this observation and the methodological approaches that were employed to extract it (quantitative corpus or experimental studies) as the main contribution of this Special Collection and discuss the theoretical significance of this finding. Our position is that it cannot be taken as a falsification of the view that theme vowels are ‘pure morphology’, to the extent that it would require proof of a perfect correlation between theme vowels and a particular semantic property. At the same time, following Marantz (1997) we consider the possibility that categorial rules are not necessarily to be expected in structures involving only a root and a little v, highlighting an innovative approach in terms of markedness hierarchies where aspect/argument structure is only one factor determining theme vowel selection (Milosavljević and Arsenijević 2022) as a possible way of deriving non-categorial rules observed in other papers from a mix of morphosyntactic and phonological factors.

The Strong Correlation Between Multiple Births and Preterm Birth Rates in Greece From 1991 to 2022.

Background This study aims to investigate the correlation between the rising preterm birth rate (PBR) in Greece from 1991 to 2022 and the incidence of multiple births. Methodology Official data on live births in Greece from 1991 to 2022 were sourced from the Hellenic Statistical Authority. The PBR, defined as the number of live births occurring at <37 gestational weeks, and the multiple birth rate (MBR), representing live births from multifetal gestations, were calculated per 100 total live births. The relationship between the PBR and the MBR was evaluated using the non-parametric Spearman's rank correlation coefficient (rho). This association was confirmed through linear regression models, with MBR as the independent variable and PBR as the dependent variable, calculating the beta coefficient (β) and the coefficient of determination (R-squared). Results A very strong direct positive correlation was identified between PBR and MBR throughout the study period, with a Spearman's rho of 0.950 (p < 0.001). This conclusion was further supported by the linear regression model, which yielded a β coefficient of 3.32 (95% confidence interval = 2.78 to 3.86, p < 0.001). The R-squared was 0.838, indicating that the change in MBR explained 83.8% of the rise in PBR. The strongest correlations were observed for moderate PBR (32-33 weeks) with a rho of 0.962 (p < 0.001) and late PBR (34-36 weeks) with a rho of 0.940 (p < 0.001). During the period of a steep increase in prematurity rates in the country (1991-2011), an almost perfect correlation between PBR and MBR (rho = 0.987, p < 0.001) was noted. However, in recent years (2011-2022), characterized by a marginal increase in PBR, this association diminished, with a rho of 0.655 (p = 0.021). Conclusions This analysis revealed a strong positive correlation between the PBR and MBR in Greece from 1991 to 2022, underscoring the significant impact of multiple pregnancies on the substantial increase in preterm births within the Greek population.

ThP6.15 - 1, 3, and 5-year mortality following emergency laparotomy, can the National Emergency Laparotomy Audit (NELA) or the American College of Surgeons National Quality Improvement Program (ACS-NSQIP) risk calculators predict it? – a retrospective, multi-center, observational, cohort study

Abstract Background Emergency laparotomy (EL) comprises a high-risk group of surgical procedures, associated with a significantly increased risk of death in the following 5 years. EL are performed on a heterogeneous population, of which at least 50% are ≥ 70 years old. Accurate preoperative risk prediction is vital for planning care, patient shared decision, and improving outcomes. To date, no prediction tool can reliably estimate long-term outcomes, including mortality, following an EL. Methods This is a multicenter, retrospective, observational, cohort study that investigated the correlation between actual mortality at 1, 3, and 5 years and predicted 30-day mortality (30-dm) using NELA and ACS-NSQIP risk prediction tools, following EL, in adults aged ≥18, over 2 years, in two UK centers. The sample size was calculated at 385 cases. GraphPad-Prism 10.1.1. was used for statistical analysis. Results 626 cases were analyzed. The male/female ratio was 0.85, age 70 years (55;78); BMI 24.94kg/m² (22;29); preoperative lactate 1.7 mmol/L (1.2;2.6), clinical frailty score 3 (2;4); and Charlson Comorbidity Index 4(2;5) (all data is expressed as median+IQR). The 1, 3, and 5-year survival were 76%, 67%, and 61%, respectively. A perfect positive correlation between NELA and ACS-NSQIP 30-dm and the 1-year actual mortality was found (R²=1). At 3 years only NELA correlated positively to actual mortality (R²=0.23, p&amp;lt;0.05). The 5-year mortality correlated positively with both predictors - NELA: R²=0.61, p&amp;lt;0.001; ACS-NSQIP: R²=0.31, p&amp;lt; 0.05. Conclusion Both NELA and ACS-NSQIP risk calculators can predict mortality at 1,3 and 5 years after an emergency laparotomy, with NELA expressing a stronger correlation.

Comprehensive analysis of normal shock wave propagation in turbulent non-ideal gas flows with analytical and neural network methods

Shock wave propagation in gases through turbulent flow has wide-reaching implications for both theoretical research and practical applications, including aerospace engineering, propulsion systems, and industrial gas processes. The study of normal shock propagation in turbulent flow over non-ideal gas investigates the changes in pressure, density, and flow velocity across the shock wave. The Mach number is derived for the system and explored across various gas molecule quantities and turbulence intensities. This study analytically investigated the normal shock wave propagation in turbulent flow of adiabatic gases with modified Rankine–Hugoniot conditions. Artificial neural network (ANN) techniques are used to estimate the solutions for shock strength and Mach number training validation phases of back-propagated neural networks with the Levenberg–Marquardt algorithm. The results reveal that pressure ratio with density ratio increase for higher values of increase in the turbulence level as well as intermolecular forces. A reverse trend is observed in velocity coefficient after shock in the presence of adiabatic gas. The regression coefficient values obtained using the network model ranged from 0.999 99 to 1, indicating an almost perfect correlation. These findings demonstrate that the ANN can predict the Mach number with high accuracy.

Quantitative analysis of soil quality around brick kilns using pollution indices and ANOVA in Jammu district of Jammu and Kashmir, India

The study investigated soil quality around brick kilns in the Jammu district of Jammu and Kashmir, analyzing 200 samples from 50 sites for selected parameters such as pH, electrical conductiv1ity, soil temperature, organic carbon content, organic matter, macronutrients, and heavy metals. The findings revealed that soil electrical conductivity ranged from 0.33 to 0.63 dS/m, with significant differences observed at varying distances from the kilns. Copper concentrations were highest at 5.32 mg/kg near the kilns, while iron and lead levels also varied significantly, indicating potential contamination. The mean soil temperature was recorded to be 27.69°C.The pH values ranged from 6.5 to 7.8, and the average pH of 8.22 indicated the slightly alkaline nature of the soil around the brick kilns. The organic carbon ranged from 0.34% to 1.02%.Soil temperature and electrical conductivity decreased with increasing distance from the kilns, with temperature showing positive correlations with organic carbon, organic matter, nitrogen, potassium, manganese, and iron and negative correlations with pH, phosphorus, zinc, copper, lead, and cadmium. A perfect positive correlation was noted among nitrogen, organic carbon, and organic matter. Heavy metals, except for zinc and manganese, showed positive correlations with each other. The average Zn, Cu, Mn, Fe, Pb and Cd concentration was recorded as 1.07, 1.03, 6.71, 10.30, 37.04 and 1.91 ppm, respectively. The contamination factor indicated moderate contamination with lead and cadmium, while the geo-accumulation index also suggested moderate contamination. The pollution load index reflected unpolluted soil and enrichment factor values for heavy metals ranked as Cd > Pb > Cu > Zn > Mn > Fe.ANOVA results revealed significant variations in electrical conductivity, copper, iron, and lead, underscoring the potential environmental impacts at different distances from the kilns. However, no significant differences were found between agricultural and non-agricultural sites in other physicochemical parameters. These variations highlight the considerable impact of brick kilns on soil health, emphasizing the need for enhanced environmental management and further research to mitigate these effects.

Exploring the relationship between Total Athleticism score and CrossFit® Open Performance in amateur athletes: single measure involving body fat percentage, aerobic capacity, muscle power and local muscle endurance.

There has been an increasing interest among CrossFit® coaches and practitioners in identifying indicators of sport performance. This study aimed to examine the correlation between anthropometric measures, cardiorespiratory capacity, power, local muscle endurance, and total athleticism score, with performance in the CrossFit® Open 2021. Fourteen male volunteers (aged 30.3 ± 5.8 years) participated in the study and underwent a series of tests on separate weeks. These tests included assessments of body fat percentage (subcutaneous adipose thickness measured at seven sites), maximal oxygen consumption (2 km test in rowing ergometer), muscle power (one repetition maximum in power clean), and muscle endurance (Tibana test, which included the conclusion of four distinct rounds of work). These results were used to calculate the total score of athleticism, which was then compared to the participants performance during the CrossFit® Open 2021. The athletes presented an average of body fat (8.6 ± 2.0%), maximal oxygen consumption (53.3 ± 2.4 mL. (kg.min)-1), 2km row time (07:00 ± 00:21 mm:ss), 1-Repetition maximum in power clean (125.2 ± 21.2 kg) and Tibana test performance (281.0 ± 35.9 repetitions). Interestingly, the top five athletes with the highest scores also achieved the highest z-scores in the CrossFit® Open 2021. Conversely, the four athletes with the lowest TSA score had the lowest z-scores in the CrossFit® Open. Moreover, almost perfect correlation (r = 0.91; p<0.01) was found between the total athleticism score and z-scores in the CrossFit® Open 2021. The total score may be a single measure and holistic indication of athleticism level in CrossFit®. Furthermore, coaches can potentially apply this useful tool for monitoring athletic performance and designing training sessions that address specific areas of CrossFit® performance.

Four STU black holes shadows

Abstract In this work, we examine the optical behaviors and thermodynamic phase structures using shadow analysis for four S T U black holes. The study is conducted for four cases of charge configurations on the parameter space M ( q 1 , q 2 , q 3 , q 4 ) . As a matter of fact, both the electric charge as a parameter and the parameter space M ( q 1 , q 2 , q 3 , q 4 ) affect the geometry of the black hole shadow, particularly the size of the shadow. We also introduce a constraint on the charge of the black hole from the observational results of the M87 ⋆ and Sgr A ⋆ shadow. Furthermore, we show that the electric charge and the parameter space M ( q 1 , q 2 , q 3 , q 4 ) have a non-trivial impact on the variation of the energy emission rate. Interestingly enough, we find novel scenarios in which the evaporation is slower, which causes the lifetime of the black holes to be considerably elongated. On the other side, the phase structure of four S T U black holes is explored for two cases of electric charge configuration. The findings show a perfect correlation between the shadow and event horizon radii. This correlation is, in fact, helpful in discovering the phase transition in terms of the shadow radius. In addition, the microstructure is being analyzed in terms of shadow analysis, providing similar behavior to the ordinary situation of the Ruppeiner formalism.

Nonequilibrium fluctuations of a quantum heat engine

The thermodynamic properties of quantum heat engines are stochastic owing to the presence of thermal and quantum fluctuations. We here experimentally investigate the efficiency and nonequilibrium entropy production statistics of a spin-1/2 quantum Otto cycle in a nuclear magnetic resonance setup. We first study the correlations between work and heat within a cycle by extracting their joint distribution for different driving times. We show that near perfect correlation, corresponding to the tight-coupling condition between work and heat, can be achieved. In this limit, the reconstructed efficiency distribution is peaked at the deterministic thermodynamic efficiency, and fluctuations are strongly suppressed. We further successfully test the second law in the form of a joint fluctuation relation for work and heat in the quantum cycle. Our results characterize the statistical features of a small-scale thermal machine in the quantum domain, and provide means to control them.

Asymmetry of winter precipitation event predictions in South China

Winter precipitation anomalies in South China (SC) frequently result in severe disasters. However, the evaluation of prediction performance and distinctions between positive precipitation anomaly events (PPA, wet condition) and negative precipitation anomaly events (NPA, dry condition) in current operational models remains incomplete. This study employed the Climate Forecast System version 2 (CFSv2) to assess winter precipitation prediction accuracy in SC from 1983 to 2021. Differences in predicting PPA and NPA events and the underlying physical mechanisms were explored. The results indicate that CFSv2 can effectively predict interannual variations in winter precipitation in SC, as there is a significant time correlation coefficient of 0.68 (0.62) between observations and predictions, with a lead time of 0 (3) months. The model revealed an intriguing asymmetry in prediction skills: PPA outperformed NPA in both deterministic and probabilistic prediction. The higher predictability of PPA, as indicated by the perfect model correlation and signal-to-noise ratio, contributed to its superior prediction performance when compared to NPA. Physically, tropical signals from the ENSO and extratropical signals from the Arctic sea ice anomaly, were found to play pivotal roles in this asymmetric feature. ENSO significantly impacts PPA events, whereas NPA events are influenced by a complex interplay of factors involving ENSO and Arctic sea ice, leading to low NPA predictability. The capability of the model to replicate Arctic sea ice signals is limited, but it successfully predicts ENSO signals and reproduces their related circulation responses. This study highlights the asymmetrical features of precipitation prediction, aiding in prediction models improvement.

Perfect correlation vortices.

We introduce perfect correlation vortices and show that the degree of coherence of any such vortex at the source is nearly statistically homogeneous and independent of the topological charge of the vortex. We demonstrate that while slowly diffracting in free space, perfect correlation vortices maintain their "perfect" vortex structure; they are capable of preserving said structure even in strong atmospheric turbulence. Structural resilience to diffraction and turbulence sets the discovered perfect vortices apart from their coherent cousins and makes them suitable for free-space optical communications.

Effect of electronic excitations on hydrogen behavior in tungsten

The interaction between ions should be greatly modified under electronic excitation states, subsequently altering the interactions between materials. We perform a series of first-principles calculations to predict the solution and diffusion behaviors of interstitial hydrogen (H) in tungsten (W) under various electronic excitations. Qualitatively, the solution, diffusion, and trapping behaviors of H in W under various electronic excitation states are basically consistent with those in the ground state. However, it can be found that the solution energy and the migration energy barrier of H decreases as increasing the electronic temperature of system. The Pearson correlation coefficient study shows that there exists a perfect negative correlation between the lattice constant of W and H solution energy induced by lattice distortion. Besides, electronic excitations also make the binding energy of multiple H atoms decrease. That is, when the same number of H atoms are added to the vacancy, the binding energy decreases with increasing the electronic temperature of system. Based on these calculation results, we can infer that electronic excitations make dissolved H atoms more active in W system. This may, to some extent, allow dissolved H to migrate around and not aggregate so easily, thus reducing the production of H bubbles. Therefore, in quantitative terms, the electronic excited states have a certain effect on the H behavior in W.

Between-Session Reliability of Athletic Performance and Injury Mitigation Measures in Female Adolescent Athletes in the United States.

Adolescence is a fundamental period for female athletes to develop athletic performance, mitigate injury risk, and gain collegiate sport scholarships, but there is also a high incidence of sport-related injuries. Physical profiling and athlete screening can support the individualisation of training programmes; however, there is a lack of data pertaining to the reliability of athletic performance and injury surrogate measures in adolescent female athletes. The aim of this study was to quantify the between-session reliability of an athletic performance and injury mitigation testing battery in female adolescent athletes. A total of 31 post-peak height velocity (PHV) (3.00 ± 0.82 years) female athletes (age: 16.20 ± 1.20 years; standing height: 166.00 ± 6.00 cm; mass: 65.5 ± 10.70 kg) from various sports (track and field = 1; lacrosse = 2; basketball = 2; soccer = 3; softball = 11; volleyball = 12) completed two sessions of a multicomponent testing battery 48 h to 1 week apart including the assessment of 33 measures addressing lower-limb isometric strength, eccentric strength, reactive strength, linear sprint and change of direction speed, and lower limb control. Of the 33 measures, between sessions, 29 had a high to nearly perfect intraclass correlation coefficient (ICC) (0.508-0.979), and 26 measures were not statistically significantly different between sessions (p ≤ 0.05). All measures demonstrated low to acceptable coefficient variation (CV%) (0.61-14.70%). The testing battery used can be utilised for recruitment and longitudinal monitoring within sports organisations for female adolescent athletes.

Adaptive Regularized Tri-Factor Non-Negative Matrix Factorization for Cell Type Deconvolution.

Accurate deconvolution of cell types from bulk gene expression is crucial for understanding cellular compositions and uncovering cell-type specific differential expression and physiological states of diseased tissues. Existing deconvolution methods have limitations, such as requiring complete cellular gene expression signatures or neglecting partial biological information. Moreover, these methods often overlook varying cell-type mRNA amounts, leading to biased proportion estimates. Additionally, they do not effectively utilize valuable reference information from external studies, such as means and ranges of population cell-type proportions. To address these challenges, we introduce an Adaptive Regularized Tri-factor non-negative matrix factorization approach for deconvolution (ARTdeConv). We rigorously establish the numerical convergence of our algorithm. Through benchmark simulations, we demonstrate the superior performance of ARTdeConv compared to state-of-the-art semi-reference-based and reference-free methods. In a real-world application, our method accurately estimates cell proportions, as evidenced by the nearly perfect Pearson's correlation between ARTdeConv estimates and flow cytometry measurements in a dataset from a trivalent influenza vaccine study. Moreover, our analysis of ARTdeConv estimates in COVID-19 patients reveals patterns consistent with important immunological phenomena observed in other studies. The proposed method, ARTdeConv, is implemented as an R package and can be accessed on GitHub for researchers and practitioners.

Performance of Microsoft Azure Kinect DK as a tool for estimating human body segment lengths

The Microsoft Kinect depth sensor, with its built-in software that automatically captures joint coordinates without markers, could be a potential tool for ergonomic studies. This study investigates the performance of Kinect in limb segment lengths using dual-energy X-ray absorptiometry (DXA) as a reference. Healthy children and adults (n = 76) were recruited for limb length measurements by Kinect and DXA. The results showed consistent ratios of arm, forearm, thigh, and leg lengths to height, which were 0.16, 0.14, 0.23, and 0.22 respectively, for both age groups and methods. Kinect exhibited perfect correlation among all limb lengths, indicating fixed proportions assumed by its algorithm. Comparing the two methods, there was a strong correlation (R = 0.850–0.985) and good to excellent agreement (ICC = 0.829–0.977), except for the right leg in adults, where agreement was slightly lower but still moderate (ICC = 0.712). The measurement bias between the methods ranged from − 1.455 to 0.536 cm. In conclusion, Kinect yields outcomes similar to DXA, indicating its potential utility as a tool for ergonomic studies. However, the built-in algorithm of Kinect assumes fixed limb proportions for individuals, which may not be ideal for studies focusing on investigating limb discrepancies or anatomical differences.

Ultrasound with Elastography versus MRI in Diagnosis of Rotator Cuff Tendinopathy

Abstract Background tendinopathies and tendon injuries that are due to overload, are important and extremely widespread problem in musculoskeletal diseases. Real-time Sonoelastography (SE) is used to evaluate the tissue elasticity. Aim This study assessed the role of sonoelastography in evaluation of tendon stiffness in comparison to the magnetic resonance imaging (MRI) in diagnosis of patients with rotator cuff (RC) tendinopathy. Methods cross sectional study with 36 adult patients that were clinically suspected to have supraspinatus tendinopathy with no past history of trauma and performed MRI of the shoulder were selected for our study. SE images were taken and assessed for focal soft areas. The supraspinatus (SSP) tendinopathy was graded (Grade 0, normal; Grade I, mild tendinopathy; Grade II, moderate tendinopathy; and Grade III, marked tendinopathy). Results the examined population, by MRI examination of supraspinatus tendon findings categorized as 7 patients (19.4%) had grade 0, and 17 patients (47%) had grade 1, 11 (30.6%) had grade 2, and 1 (2.8%) had grade 3. On the other hand, by Sonoelastography, there was 8 patients (22.2%) had grade 0, and 18 patients (50%) had grade 1, 9 (25%) had grade 2, and 1 (2.8%) had grade 3. Perfect positive correlation (r = 0.83) was found between the MRI and Sonoelastography grading. The association between the two modalities was statistically significant (p &amp;lt; 0.01). Conclusions SE showed good correlation with MRI in identifying supraspinatus tendon intratendinous alterations.

Clinical validation of the novel fluorescent glomerular filtration rate tracer agent relmapirazin (MB-102)

The fluorescent compound relmapirazin has been rationally designed for use in point-of-care measurement of glomerular filtration rate (GFR), with attributes including negligible protein binding, negligible metabolites invivo, negligible tubular secretion, and excellent chemical and photo stability. Twenty-four nonclinical assays were performed in accordance with FDA requirements yielding negligible toxicology concerns. Here, a clinical study was performed to validate relmapirazin as a GFR tracer in patients by comparison to iohexol. This was evaluated in 120 adults at three clinical sites with eGFR values ranging from normal to Stage 4 chronic kidney disease. Relmapirazin and iohexol were administered intravenously in consecutive boluses to each subject and serial blood samples obtained over the subsequent 12 hours. Plasma concentrations were measured and the corresponding plasma GFR for each agent was determined using a standard two-compartment pharmacokinetic assessment. Urine from each subject was collected for the entire 12-hour study period to measure the amount of administered dose appearing in the urine. A near perfect linear regression correlation was observed between the GFRs measured by these two tracers (r2=0.99). Bland-Altman analysis confirmed agreement between these two measures of GFR (limits of agreement -7.0 to+5.6 mL/min; mean of -0.7 mL/min). The GFR determined by relmapirazin was independent of GFR stratification by chronic kidney disease stage, and importantly by race. The percent of the administered relmapirazin dose recovered in the urine was greater than or equal to that of iohexol with no reported severe adverse events. Thus, relmapirazin may be used as a GFR tracer agent in humans.

Quantitative correlation of serum and salivary trace elements in oral squamous cell carcinoma and oral potentially malignant disorders: An institution-based biochemical analysis

Abstract Background: Trace elements are the important components that play a crucial role in various functions of the human body at cellular and molecular levels. Considering the role of the trace elements in precancerous and cancerous conditions, estimation of their levels in these conditions could aid in understanding the disease process and progression. The purpose of this study is to determine the alteration in salivary electrolyte concentration of oral potentially malignant disorders (OPMD) and oral squamous cell carcinoma (OSCC) patients to correlate the variations with the severity and biological behaviour. Material and Method: A total of 70 subjects were included in this study, and they were divided into three groups: patients with OSCC (30), OPMDs (30) and apparently healthy individuals (10). An informed consent was obtained, following which blood and saliva samples were collected from the participants. Salivary and serum levels of copper, zinc, lead, cadmium, calcium and magnesium were measured and compared between the groups. Results: The levels of biochemical elements in both serum and saliva were in perfect correlation. The amount of all the estimated metallic ions was found to be significantly (P 0.001) increased in OSCC followed by OPMDs and normal mucosa. The levels of copper, cadmium and magnesium were gradually increased in increasing grades of OSCC (P 0.001). Conclusion: Salivary trace element levels could possibly have diagnostic significance in the early evaluation of OPMDs and OSCC as well. Increased levels of these elements might be used as a marker of disease progression and predictor of prognosis.