Standard Deviation Values Research Articles

Circadian heart rate fluctuations predict 21-year cardiovascular and all-cause mortality in type 2 and type 1 diabetes

Abstract Background Alterations in circadian heart rate (HR) fluctuations have been associated with cardiovascular events in the general population. This study aimed at defining their long-term prognostic value for cardiovascular and all-cause mortality in patients with diabetes. Methods We examined a cohort of 349 patients with type 2 or type 1 diabetes (52% women, age 57.1±11.9 years, BMI 29.4±5.9 kg/m2, HbA1c 8.6±2.1%, 81% type 2 diabetes) who underwent 24h ambulatory blood pressure and HR monitoring (ABPM) and assessment of diabetic microvascular complications. The median standard deviation (SD) value of ABPM-derived HR measurements was used to define patients with low daily HR fluctuations (low 24h-HR SD), while a <10% decline in average night-time vs day-time HR identified patients with blunted nocturnal HR dip (n=107, 31%). The clinical features and time-dependent prognostic impact of these conditions were evaluated over a 21-year observational follow-up. Results Low 24h-HR SD and blunted nocturnal HR dip were associated with an adverse cardiometabolic risk profile and high prevalence of cardiac autonomic neuropathy and nephropathy. After 6,251 person-years of follow-up (21.0 [14.0-21.0] years), a total of 136 (39%) deaths occurred, of which 100 (68%) of cardiovascular cause. After adjustment for potential confounders, the low 24h-HR SD group had a higher risk for both cardiovascular (hazard ratio 1.99, 95% CI 1.29–3.06, p=0.002) and all-cause mortality (hazard ratio 1.50, 95% CI 1.03–2.18, p=0.033), compared with high 24h-HR SD. Consistently, patients with blunted nocturnal HR dip had a higher adjusted risk for cardiovascular (1.61, 95% CI 1.07–2.43, p=0.023) and all-cause mortality (1.61, 95% CI 1.11–2.34, p=0.012), compared with those with preserved nocturnal HR dip. Conclusions Impaired circadian HR fluctuations are frequent in patients with long-standing diabetes and are associated with microvascular disease and increased long-term cardiovascular and all-cause mortality. Identifying these conditions via 24h-ABPM may provide a cost-effective risk stratification tool in this high-risk population.Kaplan-Meier curves

Normal values and reference ranges for quantitative assessment of myocardial first-pass perfusion by spectral computed tomography. From the Cadami-Spectral study

Abstract Background Spectral computed tomography (SCT) can generate iodine concentration maps according to the tissue iodine uptake, serving as a surrogate marker of organ perfusion. Thus, assessment of the iodine distribution maps derived from SCT allows to detect deviations in normal myocardial perfusion. As of present, reference ranges for the iodine concentration in each myocardial segment of the left ventricle (LV) derived from the first-pass perfusion have not been published. Purpose To provide normal values of first pass perfusion in individuals without coronary artery disease (CAD). Additionally, we explored whether these values could vary according to gender, contrast dosing or the cardiac cycle phase assessed. Methods From October 2021 to January 2024, we retrospectively identified patients who underwent a CT Cardiac Angiography (CTCA) and had no evidence of CAD or structural heart disease. Subjects were scanned using a dual-layer SCT, following a standard local protocol which included a weight-based contrast medium dosing of 0.8 mL/Kg. Iodine density maps were reconstructed using the MCA filter at a phase of 78%. An additional sample of 18 subjects who received a dosing of contrast of 1 mL/Kg and 16 cases scanned using a systolic acquisition and reconstructed at phase of 35% were also included. Spectral reconstructions were combined with tissue segmentation to obtain the spatial distribution of iodine along the myocardium. Mean, median and standard deviations values of density of iodine (mg/ml) were quantified for each segment following the AHA-17 segment model. Results Perfusion data from 80 woman (median age: 60 [IQR: 54-65.6] years) and 47 males (median age: 47 [IQR: 43 – 54] years) were analysed. Despite receiving higher dose of contrast (67.9 vs 59.8 mL; p < 0.05), male subjects exhibited lower iodine density values in the myocardium compared to females (median concentration per segment 1.58 vs 2.01 mg/dL, p<0.001; figure 1). Notably, the volume of the LV myocardium was higher in male than in women (143 mL vs 92 mL, p<0.001). These differences could be partially explained in a mixed model considering the ratio contrast dose/myocardium volume (b = 1.500, p < 0.001). Higher contrast dosing (1 mL/Kg vs 0.8 mL/kg) correlated with higher iodine density values in the myocardium (2.03 vs 1.83 mg/dL, respectively; p = 0.023). No differences were noted when comparing reconstructions at systole vs diastole (1.86 vs 1.80 mg/dL, respectively; p = 0.484). Reference range values of each myocardial segment are listed in table 1. Conclusions Significant gender discrepancies are detected in the analysis of first-pass myocardial perfusion. These variations can be partially explained by differences in the LV myocardium volume. Our findings provide applicable reference ranges of the iodine concentration in myocardium at first pass perfusion in controls without coronary or structural heart disease.

A population-based characterisation of the relationship between anatomical and electrical axes of the heart

Abstract Introduction Cardiac anatomy, including heart size, position and orientation within the torso, is known to impact ECG morphology. Understanding the relationship between cardiac anatomy and ECG morphology through their main axes has the potential to lead to more accurate and reliable ECG biomarkers. Nevertheless, there is no standardised method for the definition of the anatomical and electrical axes of the heart. Aims To evaluate definitions of anatomical and electrical axes of the heart based on a derived metric in an undiseased population in the UKBioBank. Methods The anatomical and electrical axes of 2189 healthy subjects were computed separately in five different ways (Figure 1). Cardiac bi-ventricular anatomy was automatically segmented from cardiac MRI. Anatomical axes were computed from different combinations of anatomical landmarks (valves and apex) and axis of inertia. ECGs were transformed into vectorcardiograms (VCGs) using the Kors transformation. A range of combinations of dipole magnitudes, weighted averages and loop shape were used to define the electrical axes of the QRS loop. The anatomical-electrical relationship was quantified with the cosine of the angle between each of the 25 pairs of anatomical and electrical axes definitions. Spatial consistency was assessed by the standard deviation of this cosine across the cohort, where a higher level of spatial consistency corresponds to a lower standard deviation. Results Spatial consistency between anatomical and electrical axes exhibited a large range of standard deviation values from 0.61 for the worst pair to 0.14 for the best pair of definitions. The pair with the highest spatial consistency was defined by the valvular plane centre and the apex (VPA) for the anatomical axis, and the direction of maximum QRS dipole magnitude (maxQRS) in the VCG for the electrical axis (Panel A and B in Figure 2). The anatomical-electrical relationship was not significantly correlated with BMI, age or gender despite the individual anatomical and electrical axes showing significant correlation (Frontal plane: anatomical axis was most impacted by BMI, R=0.53 & p<0.0001, and electrical axis by gender R=0.37 & p<0.0001). Conclusion In this healthy population, the most spatially consistent definition of anatomical and electrical axes is defined by VPA and maxQRS. This spatial consistency is not affected by BMI, age or gender, suggesting an intrinsic relationship between the pair of measures, and represents a potential strategy to permit correction for patient anatomic factors when interpreting ECGs.Figure 1.Axes Definition MethodsFigure 2.Results

The Effect of Historical Places Through Virtual Museums on Students' Academic Achievement And Attitudes Towards The Course In Social Sciences Course Concept Teaching

This research, 7. the classroom social studies course was conducted in order to determine the effect of historical sites on students' academic achievements and attitudes towards the course through virtual museums in concept teaching. In line with the aim, 20 concepts included in the social studies curriculum were selected. A 20-question academic achievement test was prepared and applied to be applied to students in relation to these concepts. In addition, a 35-item attitude scale was applied to determine the students' attitudes towards the Social studies course. The study group of the research consists of 40 7th grade students (20 experimental, 20 control). The study was carried out over a total period of 3 weeks. The experimental group was taught concepts through virtual museums in historical places, and the control group was taught according to the Social Studies curriculum. SPSS, which is a statistical analysis program, was used for the analysis of quantitative data. In the measurements related to the research, dependent and independent variable t test, mean, standard deviation values were calculated. According to the results of the analysis, it has been determined that the use of virtual museums with historical sites in social studies course concept teaching enables more effective learning compared to traditional methods and creates significant differences in students' attitudes towards social studies course.

Detection of morphometric indicators of the soil surface of a grape plantation using spectral bands of satellite images

Introduction. Soils play an important role in the approximately 30-year period of operation of a grape planting, influencing plant growth, their yield and the quality of the grapes. In this study, the morphometric parameters of the surface soil layer of a grape plantation were studied using spectral channels of satellite images.Methodology. The methodology included the use of a “random forest” algorithm to classify soil cover using spectral channels and normalized satellite image indices and analyze the main physicochemical properties of soils. Accuracy was assessed using RMSD and confidence intervals calculated via bootstrapping.Results. The study revealed significant differences in the spectral reflectivity of different site options, which was due to carbonate content, humidity levels and the amount of humus. Areas with high carbonate and moisture content showed higher standard deviation values in the spectral channels. Studying the spectral characteristics of the soil surface makes it possible to effectively classify different areas based on remote sensing data. Analysis of combinations of spectral channels revealed an optimal set of three channels (B12, B11, B8A) with a minimum standard deviation when classifying an image into six soil variants of areas. For classification, a composition of five normalized indices can also be used, but in this case the calculation time increases significantly with a larger standard deviation and a larger confidence interval range. Using machine learning, six distinct soil surface types were segmented, demonstrating the complexity of the field›s soil mosaic. These results are critical for improving vineyard management and productivity

Advancing Electric Engineering Education through Immersive Virtual Reality: Deep Learning and Evolutionary Algorithms for Image Stitching and Rectification in Virtual Lab Environments

Virtual Reality (VR) technology has emerged as a transformative tool in education, offering immersive and interactive experiences that enhance learning outcomes. This paper delves into the application of image stitching and rectification techniques to create a VR lab environment, specifically tailored for electrical engineering education. The importance of VR technology in education is explored, highlighting its role in promoting active learning and providing experiential learning opportunities. The primary emphasis of this Paper lies in the smooth incorporation of image stitching algorithms for the creation of panoramic perspectives, along with the implementation of rectification techniques to correct irregular borders within the stitched images. By utilizing Convolutional Neural Networks (CNNs) and Genetic Algorithms (GAs), the proposed approach optimizes the rectification process, resulting in visually cohesive representations. Demonstrating the utilization of the VR lab across a range of situations, such as examining power transfer and creating control panels for water pumps in irrigation initiatives, the immersive setting enables students to delve into intricate systems. The performance of the proposed method was evaluated using various metrics, including mean squared error, peak signal to noise ratio (PSNR), structural similarity index (SSIM), and Fréchet inception distance (FID). the combination of deep learning algorithm specifically (CNN) and optimization algorithm specifically (Genetic algorithm (GA)) led to an increase in the accuracy of the rectified images where the average PSNR reached 23.98, SSIM was 0.8066, and FID was 18.72. Regarding the users’ opinion about the generated environment by stitching and rectifying images, participants demonstrated consistent positive sentiments, with mean scores ranging from 3.65 to 4.03, all above the scale midpoint, and moderate variability indicated by standard deviation values ranging from 1.070 to 1.251, suggesting general favorability with some variation in responses. This experience empowers the users to gain insights and cultivate essential problemsolving abilities at a heightened level. Collaborative learning is facilitated, enabling students to engage in collaborative projects regardless of their physical location. Through the synthesis of image processing techniques and VR technology, this research contributes to the enrichment of educational experiences and the advancement of electrical engineering education.

Development of a rapid magnetic relaxation switching aptasensor for detection of saxitoxin using Fe3+/silver nanoparticles reaction system

Saxitoxin (STX) is a highly toxic marine bio-toxin, which has attracted great attention in the field of environmental and food safety. It is of crucial importance to develop efficient, sensitive and cost-effective methods for detecting STX. Here, we designed a magnetic relaxation switching (MRS) aptasensor for detection of STX based on FeCl3-regulated the aptamer-functionalized silver nanoparticles-coated magnetic nanoparticles (MNP@Ag NPs). In the light of the sensing effect of transverse relaxation time (T2) for optimizing, the etched time, the concentration of MNP@Ag NPs, the concentration of aptamers and incubation time were 15 min, 4 mg mL−1, 0.4 μM and 90 min, respectively. The MRS aptasensor showed good linearity amidst the sensing range of 0.2 μM to 1.0 μM and the limit of detection (LOD, S/N = 3) of 0.18 μM. Additionally, the MRS aptasensor demonstrated excellent sensitivity, reproducibility, and stability in clams and mantis shrimps. The recovery of STX ranged from 82.6 % to 101.5 % with low relative standard deviation (RSD) values, suggesting its effectiveness for detecting STX across a wide array of seafood samples.

Fast Molecular Recognition of Docosahexaenoic Acid Ethyl Ester in the Liver and Meat of Stingray Using a Miniplatform Based on a 3D Stochastic Microsensor

Docosahexaenoic acid ethyl ester has an important role in the prevention of the neuropsychiatric and neurodegenerative diseases. Its extraction from fish such as the stingray as anoil creates a pharmaceutical formulation. Therefore it is essential to develop fast molecular recognition methods able to perform both qualitative and quantitative determination of docosahexaenoic in stingray meat and liver. A miniplatform incorporating a 3D stochastic microsensor was designed and validated for the molecular recognition of docosahexaenoic acid ethyl ester. The design of the microsensor was based on the modification of a graphene decorated with nitrogen and boron paste (NB-graphene paste) with 10−3mol L−1 alpha-cyclodextrin. A wide linear concentration range (5.0 × 10−14 − 5.0 × 10−7 g mL−1) and a low limit of quantitation (5.0 × 10−14 g mL−1) were obtained. High recovery values were determined when the miniplatform was used for the assay of docosahexaenoic acid ethyl ester from stingray liver and meat with recoveries higher than 99.20%. The relative standard deviation values were less than 0.05 (N = 10).

A Study to Assess the Effectiveness of Sudarshan Kriya Yoga on Academic Stress among B.Sc Nursing Students,at Selected Nursing Colleges, Bangalore, Karnataka

Stress is an endemic problem. Its presents in each stage of human life. It may be eustress which motivate the human beings and distress which produce negative effects to the people. Every child spending around four developmental stages in educational institutions that is from toddler period to early adult stage for finishing up of their higher degree courses. Everyone adolescent having their own goals to achieve the higher carrier job. Especially in college level students are getting more stress related to studies because after that, they must enter in job to earn money or huge college fees and parents couldn’t be able to pay the fees or their medium of education they studied in college level. so many causes are producing stress to the college students that leads to low academic performance. Complementary and alternative medicines have been practised thousands of years by many people. Sudarshan kriya is a type of simple breathing technique which reduce stress, anxiety, and improve attention & concentration and mental well-being of people. This study had done for the benefit of students as they will get relax from their academic stress and enhance their academic performance. The major objective of the study is, Assess the Effectiveness of Sudarshan Kriya on Academic Stress among B.Sc nursing 1st year students. The research design is adopted in this study is quasi experimental one group pre-test post-test design. 60 samples were selected by purposive sampling technique and data were collected with the use of Academic Stress Scale. The findings of the study shows that the mean and standard deviation value for pre-test 3.8 &.68 and post-test mean and Standard Deviation is 1.75&.7 and the “t” test value 4.5 which is highly significant at p<0.05. Results: The study conclude that Sudarshan kriya is effective for reduce the academic stress and improve mental relaxation to the students.

Monte Carlo Simulation Via Visual Basic Application

Objective: The objective of this study is to implement the Monte Carlo Simulation method using Microsoft Excel's Visual Basic for Applications (VBA). This approach enables users to simulate complex systems easily and obtain statistical outputs for decision-making. Theoretical Framework: Implementing the results of the changes we desire on a real-life system through trial and error can lead to costly and risky outcomes. Simulation allows us to develop a computer model of an existing system, enabling us to understand the system's behavior. Method: Monte Carlo Simulation, a widely used simulation technique, utilizes random sampling to estimate possible outcomes of a process or experiment. Monte Carlo Simulation utilizes random sampling to estimate the outcomes of an experiment. Results and Discussion: The purpose of this study is to implement the Monte Carlo Simulation method using MS Excel Visual Basic Application. When the user interacts with the Excel interface by clicking the "Calculate" button, the system generates random numbers based on predefined probability distributions. Subsequently, statistical measures such as the mean, variance, standard deviation, median, mode, range, and extreme values (maximum and minimum) are calculated using VBA. Research Implications: Thanks to the developed application, Monte Carlo Simulation applications can be calculated easily. Originality/Value: This study contributes to the literature by implementing the Monte Carlo Simulation method using Microsoft Excel's Visual Basic for Applications (VBA). This approach enables users to simulate complex systems easily and obtain statistical outputs for decision-making. These statistics provide insights into the underlying randomness and variability of the system, which aids in decision-making processes.

Effect of ionizing radiation on the shear bond strength of two different adhesive systems in primary teeth. in-vitro study

BackgroundRadiotherapy is a treatment modality used for head and neck cancer patients. It has a negative influence on bonding strength of adhesives. Little information is available about the effect of radiotherapy on bonding strength of adhesives in primary teeth. Therefore, this in vitro study aimed to detect the best adhesive system and ideal time to apply restorations in primary irradiated teeth regarding adhesive shear bond strength.MethodsDentin samples from primary teeth were randomly assigned to four groups based on restoration application time and radiation exposure, (G1: control, G2: preradiation, G3: 24 h postradiation, and G4: 6 months postradiation) with 20 samples per group. These groups were further divided into 2 subgroups according to the adhesive system used, with 10 samples per subgroup. (1) 3M™ Single Bond Universal Adhesive (SB), (2) 3M AdperSingle Bond 2 (AS). Samples were exposed to gamma radiation from a cobalt-60 machine. One shot of 60 Gy of radiation was delivered. Then samples were subjected to a shear bond strength test. The load was applied until failure and the maximum load was recorded. Numerical data are presented as mean and standard deviation values, then distributed according to Shapiro–Wilk test or Levene's test and analyzed via two-way ANOVA. The significance level was set at p < 0.05 for all tests. Statistical analysis was performed with R statistical analysis software version 4.4.1 for Windows (Team RC, R: A language and environment for statistical computing. R foundation for statistical computing, 2023).ResultsCompared with the AS subgroup, the SB subgroup presented significantly greater values (p < 0.001). For SB, there was no significant difference among the G1 and G4 groups (p > 0.001). However, there was a significant difference between G1, G2, and G3 (p < 0.001, P = 0.025, P = 0.265 ns respectively), and G3 presented the lowest values. For AS, there was no significant difference between groups G1 and G4 (p = < 0.001). Compared with the other groups, G3 presented a significant difference (p = 0.265 ns) and the lowest results.ConclusionRestorations performed 24 h after radiation had lower bond strength than those performed six months after radiation. Regardless of the adhesive system used, SB performed better than AS in terms of the shear bond strength.

Demographic characteristics, clinical manifestations, and treatment outcomes of May-Thurner Syndrome: a five-year retrospective analysis using computed tomography venography in a Chinese population

Objective This study aimed to analyze the demographic characteristics, symptoms, and treatment outcomes of patients diagnosed with May-Thurner syndrome (MTS) using computed tomography venography (CTV). Methods Medical records of patients diagnosed with MTS through CTV at Hebei General Hospital of China between April 1, 2017, and May 31, 2022, were reviewed. The data collected included: (1) gender, age, body mass index (BMI), and smoking and drinking habits; (2) time of onset and symptoms of MTS, as well as other accompanying symptoms; (3) additional diagnoses, length of hospital stay (days), treatment methods, treatment success, and the occurrence of post-treatment bleeding or recurrence. Descriptive statistics were used, with mean ± standard deviation and median values reported. The t-test/u-test and Chi-square test (including the exact probability method) were used to compare means and rates, respectively, with a significance level set at α = 0.05. Results Out of 402 patients (233 males, 169 females), 118 (29.4%) were diagnosed with MTS, with 47 (21.1%) males and 71 (39.7%) females. The incidence of MTS was significantly higher in females than males (χ2 proportion = 16.545, χ2 composition = 9.763, P < 0.05). The average ages of male and female MTS patients were 56.4 and 59.9 years, respectively, with mean BMIs of 27.05 and 27.09 kg/m2. Among male patients, 27.7% (13) were smokers, and 17.0% (8) consumed alcohol. Inferior vena cava (IVC) thrombosis was notable in 59.3% of MTS patients, with a significantly higher proportion in females (70.4%) than in males (42.6%) (χ2 = 9.102, P < 0.05). Lower limb swelling without pain was reported by 70.3% of patients, with 53.4% (44.7% male, 59.2% female) experiencing swelling on the left side only, which was significantly more common than swelling on the right side only or both sides (χ2 = 44.554, P < 0.05). Additionally, 12.7% of patients reported both swelling and pain, with left-side symptoms being more prevalent than right-side or both sides. The average ages at symptom onset were 51.3 ± 17.1 years in males and 57.1 ± 13.2 years in females. All treatments for MTS were successful without bleeding or recurrence. The most common treatment method was balloon dilation combined with stent placement (57.6%). Conclusion CTV is highly effective in detecting and facilitating the successful treatment of MTS. It should be fully utilized to promote early diagnosis and treatment of MTS. Female MTS patients need more medical resources for diagnosis and treatment.

Analyzing Amylin Aggregation Inhibition Through Quantum Dot Fluorescence Imaging.

Protein aggregation is associated with various diseases caused by protein misfolding. Among them, amylin deposition is a prominent feature of type 2 diabetes. At present, the mechanism of amylin aggregation remains unclear, and this has hindered the treatment of type 2 diabetes. In this study, we analyzed the aggregation process of amylin using the quantum dot (QD) imaging method. QD fluorescence imaging revealed that in the presence of 100 μM amylin, aggregates appeared after 12 h of incubation, while a large number of aggregates formed after 24 h of incubation, with a standard deviation (SD) value of 5.435. In contrast, 50 μM amylin did not induce the formation of aggregates after 12 h of incubation, although a large number of aggregates were observed after 24 h of incubation, with an SD value of 2.883. Confocal laser microscopy observations revealed that these aggregates were deposited in three dimensions. Transmission electron microscopy revealed that amylin existed as misfolded fibrils in vitro and that QDs were uniformly bound to the amylin fibrils. In addition, using a microliter-scale high-throughput screening (MSHTS) system, we found that rosmarinic acid, a polyphenol, inhibited amylin aggregation at a half-maximal effective concentration of 852.8 μM. These results demonstrate that the MSHTS system is a powerful tool for evaluating the inhibitory activity of amylin aggregation. Our findings will contribute to the understanding of the pathogenesis of amylin-related diseases and the discovery of compounds that may be useful in the treatment and prevention of these diseases.

Portable Miniature Mass Spectrometry for Enhanced On-Site Detection of Analytes in Complex Samples by Integrating Solid-Phase Microextraction and Nano-Electrospray Ionization.

On-site mass spectrometry (MS) analysis plays a crucial role in timely understanding chemical compositions of field samples but presents a challenge to miniaturization, portability, and sensitivity. In this work, a portable MS approach was developed by integrating biocompatible solid-phase microextraction (SPME) and a nano-electrospray ionization (nESI) emitter into a kit to couple miniature MS (mMS). The SPME fiber was used for on-site extractive sampling of analytes from complex liquid samples and living organisms and was then inserted into an nESI emitter for on-site MS analysis via the facile kit. The limit of detection was found to be at the pg/mL level for various compounds tested. Acceptable relative standard deviation (RSD) values (5.5-7.6%, n = 6) were obtained for direct measurement of analytes in complex matrixes; acceptable linear responses (0.1-50 ng/mL) and matrix effects (76.0-82.6%) were also found. Enhanced detection of compounds of interest in various real samples, such as food samples, human fluids, environmental water, and living organisms, was unambiguously demonstrated. Our experimental data showed that SPME-nESI-mMS is a promising tool for on-site analysis of various complex samples in significant applications including but not limited to food safety, environmental monitoring, forensic investigation, and bioanalysis.

Comprehensive amino acids profiling: Grape varieties grown in California and in Tuscany, Italy.

Twenty-three amino acids and glutathione were profiled in 33 juices: Cabernet sauvignon, Cabernet franc, and Merlot grown in Bolgheri, Tuscany, Italy, and Napa Valley, CA, as well as Petit Verdot grown in Napa Valley, CA. The method was carried out by online pre-column derivatization followed by ultra-high performance liquid chromatography with fluorescence detection; residual standard deviation values for repeatability (n=20) were<5%. All amino acids could be successfully separated in these samples within 18 min. The most abundant amino acids, PRO, γ-aminobutyric acid, and ARG, varied by two-, two-, and three-fold, respectively, across all of the grape juices sampled. Comparisons between grape juices based on their geographic origin and variety were made with principal component analysis and hierarchical cluster analysis. Merlot juices from both regions were correlated differently by amino acids profile than Cabernet sauvignon and Cabernet franc juices. The amino acids profile in Merlot juices was more similar between most sites in Bolgheri. In contrast, Cabernet sauvignon and Cabernet franc juices had a higher similarity between vineyards in Bolgheri and vineyards in Napa Valley. Overall, most of the amino acids quantified in Cabernet franc juices and, to a lesser degree, Cabernet sauvignon juices from Bolgheri and Napa Valley vineyards were strongly correlated with each other.

Smartphone-based electrochemical sensing of propyl gallate in food samples by employing NiFe-Oxide decorated flexible laser-induced graphene electrode

Flexible graphene electronics utilizing laser-induced graphene (LIG) technology offer an efficient, cost-effective, and mask-free approach to produce graphene in a single step. LIG can be directly patterned on polyimide films, impacting their surface properties, chemical composition, and electrical conductivity. However, the electrochemical performance of standalone LIG is limited. To address this, the study enhances LIG by synthesizing nickel-iron Prussian blue analogues through co-precipitation and calcination, forming porous NiFe-Oxide, which is subsequently deposited onto the LIG surface via a facile physical deposition method. The porous NiFe-Oxide@LIG electrode material demonstrates excellent electrochemical sensing capabilities due to its high conductivity, improved surface area, enhanced active sites, and superior electrocatalytic performance for detecting the antioxidant propyl gallate (PG). This porous NiFe-Oxide@LIG electrode material features a linear detection range (0.5–5 μM), low detection limit (0.01 μM), high sensitivity (17.12 μAμM−1cm−2), and strong selectivity for PG. Additionally, it offers high reproducibility and repeatability, evidenced by the low relative standard deviation values of 2.61 % and 1.96 %, respectively. The practicality of the proposed sensor was validated using food samples, integrated into a smartphone-based sensing device, achieving satisfactory recovery rates above 79.2 %. This smartphone-based sensor enables effective onsite food quality and safety monitoring.

Design, modelling and optimisation of ultra high-performance fibre reinforced concrete incorporating waste materials

The adoption of ultra-high-performance fibre-reinforced concrete (UHPFRC) in modern-day construction has gradually increased because of its high compressive and flexural strength at the early production ages. The UHPFRC's high initial cost discourages its production and widespread use. This cost can be reduced by incorporating waste materials in UHPFRC production. This study aims to design, model, and optimise a three-day heat-cured UHPFRC incorporating waste materials. To produce a sustainable UHPFRC mixture, this study combines rice husk ash (RHA) and recycled tire steel fibre (RTSF) as the primary waste components, with Portland limestone cement, river sand, superplasticizer, and water. The concrete is heat-cured in a hot water bath at 90 °C for 3 days, resulting in rapid strength development. A D-optimal mixture design technique was used to optimise the mix proportions, and mathematical models were developed to predict the compressive and flexural strengths. The non-significant lack-of-fit results and the high values of coefficient of determination (R2) revealed the accuracy of the models in predicting the compressive and flexural strengths of the UHPFRC. The low values of standard deviation (SD) and coefficient of variation (CV) confirmed the consistency and reliability of the prediction models. A numerical optimisation revealed that it is possible to design a UHPFRC mixture with a lower cement content of 38.29% of the UHPFRC mix, resulting in a compressive strength of 117.62 MPa and a flexural strength of 36.32 MPa. The study reveals that integrating RHA and RTSF into UHPFRC can yield high-performance properties, offering innovative solutions for resource scarcity and environmental sustainability in the construction sector.

Capital Resilience: Dynamics Movements of Large Cap and Small-Mid Cap Stock in Global Macroeconomic Uncertainty

This research was conducted to examine how large and small-medium cap stocks in Indonesia respond to movements in global macroeconomic variables (Federal funds rate, M2 of Dollar, S&amp;P 500, CBOE Volatility Index) and to determine the extent of the contribution of each variable in influencing both of stock prices. The study period spans from January 2022 to July 2023, during a period of global economic instability due to excessive quantitative easing post-Covid-19 pandemic. This research is quantitative, and the Vector Error Correction Model (VECM) was chosen as the method for analysis. The findings of the study, analysed using Impulse Response Functions (IRF), indicate that small-medium cap stocks represented by DBX are more significantly impacted than large-cap stocks represented by IDX30 when there is a shock at a particular moment; it can be seen from standard deviation values in the IRF output, suggesting a higher level of volatility in small-medium cap stocks. Further analysis using Forecast Error Variance Decomposition (FEVD) reveals that the movements of both IDX30 and DBX in the short run are predominantly influenced by their past values at t-1, indicating inefficient market conditions based on the Efficient Market Hypothesi. However, these conditions are expected to shift gradually towards more efficiency in the long run. Regarding the examined macroeconomic variables, it was found that the Federal funds rate and S&amp;P 500 have a more significant impact on large-cap stocks than small-medium-cap stocks. Conversely, the M2 of Dollar and CBOE Volatility Index is more dominant in small-medium-cap stocks than large-cap stocks. This study offers valuable insights and considerations for investors seeking to diversify their stock portfolios according to their objectives and risk profiles.

A-104 Study of the matrix effect for thyroglobulin and calcitonin in fine-needle aspiration of cervical nodules

Abstract Background Analysis of material from fine needle aspiration of cervical thyroglobulin nodules with Beckman Coulter reagents on the ACCESS equipment and Calcitonin using the Siemens reagent on the Immulite equipment. The matrix effect, linearity and the limit of analytical sensitivity were analyzed. This study aims to analyze the correlation between the serum/plasma results described in the suppliers' package inserts with the results obtained with the puncture matrix. Methods The performance characteristics were tested according to the laboratory's operating procedures, based on the recommendations of ANVISA RDC 166/2017. Such parameters involved doping, which corresponds to the introduction of a calibrator with a known and traceable value into a pool of puncture material that is known to be negative, in order to analyze the behavior of the results obtained, paying attention to the deviations that may eventually occur due to the interference of the characteristics of the puncture material. puncture. After doping the material, dilutions were performed up to the sensitivity limit of the test, also analyzing the functional sensitivity, where ten replicates of the material were dosed, thus obtaining CV%, mean and Standard Deviation values. The same process was carried out and evaluated using the serum material. During the entire process, the materials received and analyzed were centrifuged and always kept in a refrigerated environment. Results The recovery% of the matrix effect study for cervical aspirate puncture showed results within the expected range, ranging from 80% to 120%, as well as the results compared with serum/plasma referenced in the supplier's package insert. The functional sensitivity study for Thyroglobulin showed a CV% of 1.77%, being lower than that recommended by the package insert (2.2%) and for the Calcitonin analyte, the functional sensitivity study showed a CV% of 8.49%, being lower than recommended by the package leaflet (15.7%), in addition to having CV's lower than the 20% recommended by ANVISA. The results obtained with the matrix effect study for serum also showed values between 80% and 120%, both of which agreed. Conclusions The results showed excellent performance for material from fine needle aspiration for both Calcitonin and Thyroglobulin, being consistent with the serum data described by the suppliers' package inserts, thus making the reagent usable for the cervical aspirate puncture matrix.

Stochastic modeling of periodic beams under uncertain boundary conditions and environmental fluctuations

Periodic structures have been attracting a great deal of academic and industrial interest lately, due to their distinctive vibration and wave propagation behavior, which can be explored for the development of innovative solutions to structural dynamics and vibroacoustic problems. Although such a potential has been demonstrated in a large number of studies, the investigation of detrimental effects, which can be present in practical applications, is still necessary. This paper reports investigations on the combined influence of uncertainties affecting ambient temperature — which alters material properties and induces stress-stiffening due to constrained thermal dilatation — and boundary conditions (BCs) on the bandgap characteristics of periodic beams. The space-dependent temperature fluctuations are represented as a one-dimensional stationary Gaussian random field, discretized using the Karhunen-Loève expansion, while non-ideal BCs, represented as springs, are modeled as discrete random variables. Sampling-based stochastic analyses of the central frequency and bandwidth of the beam’s attenuation bands are performed using Monte Carlo simulations. The results demonstrate that the variability in the attenuation band features is influenced not only by the coefficients of variation (CVs) of the input random quantities, but also by the correlation length of the random temperature fluctuations. Numerical simulations reveal that the bandgap central frequency is primarily affected by the temperature random field, while the BCs govern the bandwidth. Although low CV and standard deviation values are obtained for the dispersion of the bandgap features, reliability analyses indicate that some designs exhibit low reliability. Increased variability in both the bandgap central frequency and bandwidth is observed for greater temperature correlation lengths and CVs. The contributions of the study include the proposal of a comprehensive stochastic modeling procedure duly accounting for relevant random influences, and evidencing that those influences can be significant, requiring consideration in the design of robust periodic structures.