Low Coefficient Of Variation Research Articles

Development and Application of a TaqMan RT-qPCR for the Detection of Foot-and-Mouth Disease Virus in Pigs

The global livestock industry is facing a serious threat from a widespread foot-and-mouth disease virus (FMDV) epidemic. The timely detection of FMDV can significantly mitigate its harmful effects. This study aimed to establish and evaluate a TaqMan fluorescence quantitative PCR assay to assess its sensitivity, specificity, reproducibility, and stability. The standard curve equation range is 6.43 × 109–6.43 × 101 copies/µL, with an R2 value of 0.996 and a standard curve equation of y = −3.586x + 36.245. The method successfully detected 64.3 copies/µL of the target gene for FMDV and exhibited high specificity for FMDV. Repeatability tests demonstrated low coefficients of variation within and between groups (<2%), indicating good reproducibility. The clinical samples analyzed using this method showed results consistent with those of the SYBR Green I RT-qPCR assay, confirming the reliability of the method. Overall, the developed test method displayed high sensitivity, specificity, reproducibility, and stability, making it suitable for the rapid diagnosis of foot-and-mouth disease in clinical settings.

Uncertainty analysis of digital twin model of mine ventilation system

The digital twin model of mine ventilation system (DTMVS) plays an important role in intelligent safety management. However, the uncertainty of the ventilation resistance coefficient, which is the core parameter of the model, makes it challenging to accurately construct a DTMVS. In this study, Latin Hypercube Sampling (LHS) and ventilation resistance coefficient estimation models (VRCEMs) are used to analyze the uncertainty. First, the LHS method was used to explore the effect of uncertainty in the simulated airflow by continuously increasing the level of uncertainty in the ventilation resistance coefficients. Subsequently, the ventilation resistance coefficients were estimated using the VRCEMs, and the uncertainty of the ventilation resistance coefficient and the simulated airflow was analyzed. The results showed that the ventilation resistance coefficients with a 5% coefficient of variation can cause the DTMVS to lose 34% of the real airflow data points. The degree of uncertainty in the ventilation resistance coefficients estimated by the VRCEM-GA (VRCEM using genetic algorithm) and VRCEM-DE (VRCEM using differential evolution algorithm) methods was enhanced by 27.4% and 4.4%, respectively, compared with VRCEM-ES (VRCEM using evolutionary strategy algorithm). The VRCEM-ES model had the least influence on the uncertainty of the simulated airflow of DTMVS. The simulated airflow of the DTMVS constructed based on VRCEMs fluctuated normally within the confidence interval. VRCEMs had a higher sensitivity to the ventilation resistance coefficients of branches with low coefficients of variation.

Development of an Improved Thiosulfate-Utilizing Denitrifying Bacteria-Based Ecotoxicity Test with High Detection Sensitivity and Reproducibility

Microorganism-based ecotoxicity assessment has been widely used as a reliable tool showing direct biochemical impacts of contaminants on ecosystems and the environment. The present study aimed at developing a thiosulfate-utilizing denitrifying bacteria (TUDB)-based ecotoxicity test with high detection sensitivity and favorable reproducibility. To achieve this goal, existing TUDB toxicity tests were improved by employing a pure culture of Thiobacillus thioparus ATCC 8158 and optimizing test conditions, particularly in terms of inoculated microbial biomass, incubating temperature, and operational pH. From control tests, it was found that 4 h is a sufficient processing time for TUDB test kits. As a result of optimization, 20 mg VSS/L of initial bacterial biomass, 25 °C of incubating temperature, and 6 of operational pH were determined as the most favorable test conditions, providing enhanced detection sensitivity and reproducibility. Under these optimal test conditions, I conducted toxicity tests for diverse toxic metals and obtained 0.65 ± 0.03, 1.09 ± 0.04, 1.21 ± 0.07, 0.13 ± 0.01, 0.56 ± 0.04, 1.42 ± 0.03, 0.98 ± 0.02, and 2.12 ± 0.05 mg/L of 4 h EC50 values for Ag+, As3+, Cd2+, Cr6+, Cu2+, Hg2+, Ni2+, and Pb2+, respectively. These EC50 values are substantially lower than those from earlier TUDB tests, demonstrating the high detection sensitivity of the current TUDB tests. Moreover, the present TUDB tests attained very low coefficient of variation (CV) values (1.6–6.3%) for the EC50, showing favorable reproducibility of the test methodology. In addition, the current TUDB toxicity tests offer numerous advantages for ecotoxicity assessment, including versatility for diverse test samples, no requirement for advanced equipment, and no distortion of end-point measurement. These refinements render the TUDB tests a favorable ecotoxicity assessment with enhanced sensitivity and reproducibility.

Power or speed: Which metric is more accurate for modelling endurance running performance on track?

This study aimed to compare the accuracy of the power output, measured by a power meter, with respect to the speed, measured by an inertial measurement unit (IMU) and a global navigation satellite system (GNSS) sport watch to determine the critical power (CP) and speed (CS), work over CP (W') and CS (D'), and long-duration performance (i.e., 60 min). Fifteen highly trained athletes randomly performed seven time trials on a 400m track. The CP/CS and W'/D' were defined through the inverse of time model using the 3, 4, 5, 10, and 20 min trials. The 60 min performance was estimated through the power law model using the 1, 3, and 10 min trials and compared with the actual performance. A lower standard error of the estimate was obtained when using the power meter (CP: 2.7 [2.1-3.3] % and W': 13.8 [10.4-17.3] %) compared to the speed reported by the IMU (CS: 3.4 [2.5-4.3] %) and D': 20.7 [16.6-24.7] %) and GNSS sport watch (CS: 3.4 [2.5-4.3] % and D': 20.6 [16.7-24.7] %). A lower coefficient of variation was also observed for the power meter (4.9 [3.7-6.1] %) Regarding the speed reported by the IMU (10.9 [7.1-14.8] %) and GNSS sport watch (10.9 [7.0-14.7] %) in the 60 min performance estimation, the power meter offered lower errors than the IMU and GNSS sport watch for modelling endurance performance on the track.

Estimation of Genetic Variability for Yield and Its Component Traits in Chickpea (Cicer arietinum L.)

The present investigation was conducted with 12 chickpea genotypes, raised in randomized block design with three replications during the Rabi season 2023-2024 at at Organic Research Farm, Karguanji, Institute of Agricultural Sciences, Bundelkhand University, Jhansi (U.P.). The experiment was laid-out in randomized block design with three replications of the plant geometry was maintained at 30 cm x 10 cm. The present experimental material showed a wide range of phenotypic variation for number of seed per pod, number of primary branches per plant, biological yield per plant and seed yield per plant, number of secondary branches per plant, number of pods per plant and harvest index whereas, low phenotypic coefficient of variation was observed for plant height, 100-seed weight, days to 50 per cent flowering and days to maturity as revealed by high values of Coefficient of Range. The estimates of high heritability coupled with high genetic advance expressed as a per cent of mean were observed for biological yield per plant, seed yield per plant and number of pods per plant manifesting the preponderance of additive gene action on the expression of these traits. In the investigation, genotypes viz., RSG-44 and Aruna were superior not only for seed yield per plant but also related traits like 100-seed weight, biological yield per plant, number of pods per plant and number of primary branches per plant.

To breed or not to breed: Territory occupancy is predicted by reproductive performance and habitat heterogeneity.

Species life history and anthropogenic influence are important drivers of population performance and viability in human-dominated ecosystems. How these factors affect habitat selection and occupancy in long-lived species is an important topic for their conservation. Long-term datasets are needed for establishing the underlying drivers of this process. In this 22 year-long study, we conducted annual surveys of Bonelli's eagle in the east of the Iberian Peninsula. During this period, 42.8% of the known territories remained unoccupied. Territories with a higher likelihood of raising two chicks over time were stable, evidenced by a lower coefficient of variation in productivity, and were more likely to remain occupied. Moreover, territories with lower habitat diversity, dominated by coniferous forest or agricultural fields, and those located further away from the coast and at higher altitudes showed lower rates of occupancy (i.e., unoccupied >3 consecutive years). To validate these associations, we monitored space use of 22 individuals equipped with Global Positioning System/Global System for Mobile (GPS/GSM) transmitters, which confirmed that eagles selected for open habitats (mainly scrublands and transitional woodland-scrubs) intermixed with forest areas within their home ranges. In contrast, individuals avoided areas dominated by agricultural, urban, and continuous forests for breeding in line with the observations for unoccupied territories. Our results highlight the important interplay between natural and anthropogenic factors, which also have important implications for other raptor species. Preservation of the most productive territories and the re-occupancy of unoccupied territories along with reducing threats in the preferred habitats are fundamental actions that should be taken immediately to sustain viable populations. Potential management actions include enhancing natural prey density through habitat restoration and conservation, mitigating threats and reducing mortality risks due to power lines, fences, poisoning, and maintaining habitat heterogeneity important to eagles' hunting activities.

B-162 Evaluation of two commercially available stable isotope labeled whole-protein infliximab as internal standard for a clinical infliximab LC-MS/MS assay

Abstract Background Liquid chromatography tandem mass spectrometry (LC-MS/MS) based quantitation of infliximab has been successfully introduced in the clinical laboratory for therapeutic drug monitoring in recent years. Although stable isotope labeled (SIL)-peptide or non-labeled analog protein internal standards have been utilized, SIL-whole protein infliximab is generally considered to be the ideal internal standard for the correction of variations during sample preparation and analysis. In this study, we compared two commercially available SIL infliximab proteins, Sigma SILu™MAb and Promise Proteomics, for use in a clinical infliximab assay. Methods Both labeled infliximab proteins incorporate [13C6, 15N4]-arginine and [13C6, 15N2]-lysine in their sequence and are designed for use as an internal standard for LC-MS/MS based quantitative analysis of infliximab. For the comparison of their performance, a laboratory-developed LC-MS/MS clinical method was utilized. Linearity at 6 levels in triplicate with Remicade and 3 biosimilars (-abda, -axxq, and -dyyb), intra-assay precision at 2 levels (n=10/level), and method comparison (n=15) experiments were performed using each labeled infliximab as the internal standard. For sample preparation, internal standard was mixed with the serum sample, followed by protein precipitation with ammonium sulfate, protein denaturation, and tryptic digestion. The peptides YASESMSGIPSR (YASE) from infliximab and YASESMSGIPSR [13C6, 15N4] (SIL-YASE) from labeled infliximab were monitored by LC-MS/MS (Transcend TLX and TSQ Atlis, Thermo Scientific) and utilized for the quantitation of infliximab. Results For the linearity experiment (1-50 µg/mL), while utilizing the Promise Proteomics internal standard to assay had an accuracy range of 103.4% to 114.1% for Remicade, 100.6% to 108.2% for Infliximab-axxq, 103.0% to 110.9% for Infliximab-abda, 102.7% to 108.3% for Infliximab-dyyb. For the Sigma SILu™Mab SIL infliximab, the accuracy range was 92.1% to 99.6% for Remicade, 94.5% to 107.2% for Infliximab-axxq, 99.0% to 104.2% for Infliximab-abda, and 105.1% to 112.0% for Infliximab-dyyb. The mean overall error for Remicade and biosimilars was 0.203 µg/mL (2.0%) for Sigma SILu™Mab SIL infliximab and 0.193 µg/mL (2.0%) for Promise Proteomics internal standardization. Intra-day precision using each SIL infliximab was evaluated with Remicade at low and high levels (5 and 20 µg/mL). Using Promise Proteomics, the coefficient of variation (CV) was 2.8 and 2.2%, while using Sigma SILu™Mab the precision was 6.8 and 6.5% for the low and high levels, respectively. The regression analysis for the method comparison experiment had a correlation coefficient (r) of 0.9996 with a slope of 1.050 (95% confidence interval, 1.030-1.070) and intercept of -0.318 (95% confidence interval, -0.842 to 0.205). Conclusions The mean overall error for the linearity experiment was the same using Sigma SILu™Mab or Promise Proteomics as the internal standard. The Promise Proteomics product demonstrated a lower intra-assay CV compared to the Sigma SILu™Mab. The 2 products displayed a strong correlation during the method comparison experiment. Both Sigma SILu™Mab and Promise Proteomics labeled standards showed acceptable performance as an internal standard for LC-MS/MS based quantitative analysis of infliximab. Having both products available increases the robustness of LC-MS/MS clinical assays in the event of supply issues.

Evaluation of a web-based surgical training approach and insights from the Distal Bypass Competition 2021 using a simulator kit

ObjectiveThe study aimed to assess a novel web-based surgical training approach among young vascular surgeons and validate web-based evaluation methods for assessing anastomosis skills through the online Distal Bypass Competition (DBC). MethodsThe OSATS was used to assess anastomosis proficiency using a simulator among 42 participants (17 junior and 25 senior surgeons) in the DBC 2021. An initial evaluation of basic anastomosis skills was conducted via recorded videos, comparing OSATS scores with instructor-derived impression-based scores (Comprehensive Evaluation Score [CES]) during the nomination round. Real-time evaluations conducted over Zoom focused on assessing technical and composition scores of the anastomoses to determine finalists. The ice-skating method addresses potential variability among judges by excluding the highest and lowest scores for each procedural element from the final evaluation. This method, demonstrated in real time, provides trainees with valuable feedback on which movements are highly rated, enhancing the educational impact. Evaluation criteria included precision in needlework, external appearance, handling of the intima, and internal morphology of the anastomosis. Furthermore, voluntary survey questionnaires were administered to gather participant feedback on their experience with DBC 2021. ResultsThe OSATS was associated with a lower coefficient of variation (CV) than was the CES (0.19 ± 0.07 vs 0.24 ± 0.09) (P = .01) with regard to the evaluation of basic anastomotic skills in the nomination round. Interestingly, there was no significant difference in CV between the Procedural Element Score based on OSATS and CES in the senior class (0.16 ± 0.06 vs 0.22 ± 0.09) (P = .13), but a significant difference was particularly evident in the junior class (0.12 ± 0.07 vs 0.27 ± 09) (P = .03). Lower scores were associated with higher CVs in both classes, but the OSATS improved the CV among participants who had inadequate anastomosis skills. In real-time evaluation, composition scores exhibited higher CVs compared with technical scores, even among high-scoring participants. Notably, the internal morphology of the anastomosis had the largest CV in the composition scores. The ice-skating method decreased the CV as compared with the original data evaluated using the OSATS (0.15 ± 0.04 vs 0.09 ± 0.02 for the technical score [P < .01] and .18 ± 1.00 vs 0.07 ± 0.05 for the composition score [P = .03]); accordingly, the ice-skating method was more conducive to objective, real-time evaluation. The results of the post-DBC survey indicated that 89% of participants reported increased training time, and one-half of these participants indicated that their confidence in their clinical skills related to this procedure increased owing to the process of training for the DBC. ConclusionsThe OSATS yielded more detailed evaluations of anastomosis skill with a lower variability compared with the instructor's impression-based evaluation in this web-based training. Real-time evaluation methods, such as the ice-skating method, have proven to be valuable tools for the standardized assessment of web-based surgical education.

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.

Ultrasound-Guided Erector Spinae Plane Block in Elderly Patients Undergoing Total Hip Arthroplasty (THA): A Triple-blind, Randomized, Controlled Trial

BACKGROUNDTotal hip arthroplasty (THA) induces postoperative pain in elderly individuals. The erector spinae plane block (ESPB) is a novel analgesic approach for postoperative pain control. This randomized controlled trial evaluated the effectiveness of ultrasound-guided ESPB with ropivacaine in reducing pain in elderly patients undergoing THA METHODSPatients aged 60 to 80 years who had an American society of Aneshesiologists (ASA) physical status I to III were eligible for this study. There were 50 patients who were randomized into two groups: the ESPB group receiving ultrasound-guided ESPB with ropivacaine, and the control group receiving ESPB with normal saline. All patients underwent general anesthesia, and the mean arterial pressure (MAP), heart rate (HR), intraoperative opioid consumption, numerical rating scale (NRS) scores, and postoperative adverse reactions were recorded throughout the perioperative period. RESULTSA significant reduction in NRS scores was observed in the ESPB group compared to the control group at various time points, including in the recovery room and at 12 and 24 hours postoperatively (P < 0.05). When the observation period was extended to 48 hours, no significant difference in NRS scores was noted between the two groups (P > 0.05). No significant differences in MAP and HR were found between the two groups, but the ESPB group showed lower coefficients of variation (CV) for both MAP and HR. Moreover, the ESPB group demonstrated a significantly lower total remifentanil consumption than the control group. There was no significant difference in complications between these two groups (P < 0.05). CONCLUSIONSUltrasound-guided ESPB enhances the perioperative stability of mean arterial pressure and heart rate, providing effective analgesia within the initial 24 hours post-surgery, thereby reducing opioid requirements and improving overall postoperative recovery quality for elderly THA patients.

Microwave-assisted organic acids and green hydrogen production during mixed culture fermentation.

The integration of anaerobic digestion into bio-based industries can create synergies that help render anaerobic digestion self-sustaining. Two-stage digesters with separate acidification stages allow for the production of green hydrogen and short-chain fatty acids, which are promising industrial products. Heat shocks can be used to foster the production of these products, the practical applicability of this treatment is often not addressed sufficiently, and the presented work therefore aims to close this gap. Batch experiments were conducted in 5L double-walled tank reactors incubated at 37°C. Short microwave heat shocks of 25min duration and exposure times of 5-10min at 80°C were performed and compared to oven heat shocks. Pairwise experimental group differences for gas production and chemical parameters were determined using ANOVA and post-hoc tests. High-throughput 16SrRNA gene amplicon sequencing was performed to analyse taxonomic profiles. After heat-shocking the entire seed sludge, the highest hydrogen productivity was observed at a substrate load of 50g/l with 1.09molH2/molhexose. With 1.01molH2/molhexose, microwave-assisted treatment was not significantly different from oven-based treatments. This study emphasised the better repeatability of heat shocks with microwave-assisted experiments, revealing low variation coefficients averaging 29%. The pre-treatment with microwaves results in a high predictability and a stronger microbial community shift to Clostridia compared to the treatment with the oven. The pre-treatment of heat shocks supported the formation of butyric acid up to 10.8g/l on average, with a peak of 24.01g/l at a butyric/acetic acid ratio of 2.0. The results support the suitability of using heat shock for the entire seed sludge rather than just a small inoculum, making the process more relevant for industrial applications. The performed microwave-based treatment has proven to be a promising alternative to oven-based treatments, which ultimately may facilitate their implementation into industrial systems. This approach becomes economically sustainable with high-temperature heat pumps with a coefficient of performance (COP) of 4.3.

Comparing MLR and ANN models for school building electrical energy prediction in Osijek-Baranja County in Croatia

This paper presents a study conducted in Osijek-Baranja County, Croatia, to predict electrical energy consumption in school buildings. Data from the Energy Management Information System (EMIS) database for primary and secondary schools were analyzed using Multiple Linear Regression (MLR) and Artificial Neural Networks (ANN). The ANN model achieved a high R² of 0957 in the training set, with lower Mean Squared Error (MSE) and Root Mean Squared Error (RMSE) than the MLR model, which had an R² of 0950. On the validation set, the ANN model maintained an R² of 0954 and showed slightly better performance with a lower Coefficient of Variation of RMSE (CVRMSE) of 19,79 %, compared to the MLR model’s CVRMSE of 20,50 %. These results indicate that the ANN model generally provides more accurate and reliable predictions for energy consumption in school buildings. However, both models provided a robust positive correlation between the predicted and actual values.

Establishment of a Sensitive and Reliable Droplet Digital PCR Assay for the Detection of Bursaphelenchus xylophilus.

Pine wilt disease (PWD), which poses a significant risk to pine plantations across the globe, is caused by the pathogenic agent Bursaphelenchus xylophilus, also referred to as the pine wood nematode (PWN). A droplet digital PCR (ddPCR) assay was developed for the quick identification of the PWN in order to improve detection sensitivity. The research findings indicate that the ddPCR assay demonstrated significantly higher analysis sensitivity and detection sensitivity in comparison to traditional quantitative PCR (qPCR). However, it had a more limited dynamic range. High specificity was shown by both the ddPCR and qPCR techniques in the diagnosis of the PWN. Assessments of reproducibility revealed that ddPCR had lower coefficients of variation at every template concentration. Inhibition tests showed that ddPCR was less susceptible to inhibitors. There was a strong linear association between standard template measurements obtained using ddPCR and qPCR (Pearson correlation = 0.9317; p < 0.001). Likewise, there was strong agreement (Pearson correlation = 0.9348; p < 0.001) between ddPCR and qPCR measurements in the evaluation of pine wood samples. Additionally, wood samples from symptomatic (100% versus 86.67%) and asymptomatic (31.43% versus 2.9%) pine trees were diagnosed with greater detection rates using ddPCR. This study's conclusions highlight the advantages of the ddPCR assay over qPCR for the quantitative detection of the PWN. This method has a lot of potential for ecological research on PWD and use in quarantines.

Corneal densitometry measurements comparison between anterior segment OCT and scheimpflug imaging

PurposeTo evaluate and compare the repeatability of corneal densitometry (CD) measurements obtained using both an anterior-segment optical coherence tomography (AS-OCT) device and a Scheimpflug camera system, while also assessing the level of agreement. The study also sought to investigate the correlation of CD with age, gender, and central corneal thickness (CCT) in normal eyes.MethodsCD measurements were obtained using the Casia 2 and the Pentacam AXL Wave. Data were collected on Total Corneal Densitometry and 4 concentric corneal annular areas, these are referred to as zone 1, denoting the central area, through to zone 4, designating the outermost peripheral region. Repeatability was assessed using intra-session test–retest variability, coefficient of variation (CoV), and intraclass correlation coefficient (ICC). The agreement was evaluated using Bland–Altman plots. Correlation analysis was performed between CD, age, gender, and CCT.ResultsThe study included 96 healthy volunteers. The Casia 2 demonstrated high repeatability with ICC values exceeding 0.9 in all the corneal zones and lower CoV values compared to the Pentacam AXL Wave (ranging from 1.07% to 2.25% for Casia 2 and from 1.91% to 6.89% for Pentacam).95% LoA were within ± 2 standard deviation from the average mean except from zone 1 (± 2.42).However, the measurements showed a consistent bias among all the corneal zones. CD values were positively correlated with age, except for zone 1 with the Pentacam (p = 0.083).ConclusionsThe findings suggest that the Casia 2 can be a reliable tool for assessing corneal transparency in healthy individuals, however its measurements are not interchangeable with those provided by the Pentacam. The AS-OCT device may be more sensitive in detecting subtle age-related changes in CD within the central zone.

Influence of Spring Burns on the Properties of Humus Horizon of Chernozem in the Southeast of Western Siberia

On the example of soils of the Basic Experimental Complex of the Institute of Atmospheric Optics, Siberian Branch of the Russian Academy of Sciences (Tomsk), the influence of spring grass burns on the properties of the upper layer of the humus horizon of Chernozems. In the areas that burned two months ago, 1, 2, 3 and 11 years ago, a total of 56 samples (5–9 replicates) were collected. We found a considerably high stability of the controlled properties of soils (cationic-anionic composition of water extract, content of grain-size fractions and mobile compounds of a wide range of elements, total C and N, organic carbon, pH value, basicity from carbonates) to pyrogenic effects from spring grass fires. Informative indicators reflecting a significant pyrogenic impact over the past 11 years were the content of mobile Ca, Mg and Sr, as well as water-soluble Mg2+ and basicity from carbonates. Their content is higher in the soils of young (0–3 years) burnt areas relative to the old (11 year old) burnt areas and unburnt areas. Among the studied parameters, the pH value, the content of mobile Ba and Sr, and grain-size fractions of 1–5, 5–10, and 10–50 µm, had the low coefficient of variation (20%), and content of water-soluble ammonium and mobile Li and Zn had the high coefficient of variation (70%).

DRG payment for major pancreatic surgery: analysis of resource consumption and suggestions from a tertiary hospital in China.

To investigate the cost homogeneity within the Diagnosis-Related Group (DRG) "major operation of pancreas and liver, with general complications or comorbidities" (HB13), its cost-influencing factors, and to propose suggestions for better grouping efficacy. Medical and insurance settlement data of inpatients covered by the DRG payment system at the author's institution were collected from March 15, 2022 to December 31, 2023. The cost homogeneity of group HB13 was assessed using the coefficient of variation (CV). Clinical factors that may have an impact on hospitalization cost for patients undergoing pancreatic surgery were identified through a semi-structured interview administered to the pancreatic surgeons in author's department, their significance was analyzed using multiple linear regression, along with their impact on the cost of different service categories. A proposal to subdivide HB13 was made and evaluated by CV and t-test. The CV of the HB13 group was 0.4. Robotic-assisted surgery and pancreaticoduodenectomy were two independent factors that significantly affected the total cost. Patients undergoing robotic-assisted surgery have an average increase of 41,873 CNY in total cost, primarily derived from operation fee. Patients undergoing pancreaticoduodenectomy have an average increase of 37,487 CNY in total cost, with significant increases across all service categories. HB13 was subdivided based on whether pancreaticoduodenectomy was performed. The newly formed groups exhibited lower CVs than the original HB13. The cost homogeneity of HB13 was lower than that of other DRG groups in author's department. It is recommended to introduce a supplementary payment for patients requiring robotic-assisted surgery, to guarantee their access to this advanced technology. It is recommended to establish a new group with higher payment standard for patients undergoing pancreaticoduodenectomy. A tiered CV criterion for the evaluation of grouping efficacy is recommended to increase intra-group homogeneity, facilitating a better allocation of health insurance funds, and the prevention of unintended negative outcomes such as service cuts and cherry-picking.

Classification of cervical vertebral maturation stages with machine learning models: leveraging datasets with high inter- and intra-observer agreement

ObjectivesThis study aimed to assess the accuracy of machine learning (ML) models with feature selection technique in classifying cervical vertebral maturation stages (CVMS). Consensus-based datasets were used for models training and evaluation for their model generalization capabilities on unseen datasets.MethodsThree clinicians independently rated CVMS on 1380 lateral cephalograms, resulting in the creation of five datasets: two consensus-based datasets (Complete Agreement and Majority Voting), and three datasets based on a single rater’s evaluations. Additionally, landmarks annotation of the second to fourth cervical vertebrae and patients’ information underwent a feature selection process. These datasets were used to train various ML models and identify the top-performing model for each dataset. These models were subsequently tested on their generalization capabilities.ResultsFeatures that considered significant in the consensus-based datasets were consistent with a CVMS guideline. The Support Vector Machine model on the Complete Agreement dataset achieved the highest accuracy (77.4%), followed by the Multi-Layer Perceptron model on the Majority Voting dataset (69.6%). Models from individual ratings showed lower accuracies (60.4–67.9%). The consensus-based training models also exhibited lower coefficient of variation (CV), indicating superior generalization capability compared to models from single raters.ConclusionML models trained on consensus-based datasets for CVMS classification exhibited the highest accuracy, with significant features consistent with the original CVMS guidelines. These models also showed robust generalization capabilities, underscoring the importance of dataset quality.

Immobilization coupling with aptamer assisted dual cycle amplification for sensitive sEVs isolation and analysis.

Precise identification of small extracellular vesicles (sEVs) is crucial for improving disease diagnosis and treatments, such as bladder cancer. However, accurate isolation and simultaneously quantification of sEVs remain a huge challenge. We have introduced a new technique that combines immobilization with aptamer-assisted dual cycle amplification to isolate and analyze sEVs with high sensitivity. In this method, the CD9 protein antibody is attached to the plate's surface for the initial identification of sEVs, while an aptamer probe is used to detect the exosomal surface protein CD63. We have created an sEVs-surface method that combines target recognition initiated signal recycling and rolling circle amplification (RCA) for signal amplification. This approach allows for the "AND" logic analysis of dual biomarkers, enabling both sEVs quantification and tracing. The proposed approach has a broad detection range and a low limit of detection. Moreover, the established method showed good stability in detecting sEVs with a low coefficient of variation. Our method can effectively isolate certain sEVs and accurately identify them, making it suitable for many uses in biological science, biomedical engineering, and personalized medicine.

Drying-rewetting alters arsenic ecotoxicity: From the perspective of enzyme-based functional diversity

Drying-rewetting (DW) cycles can significantly influence soil properties and microbial community composition, leading to direct or indirect changes in arsenic (As) toxicity, which inturn affects soil ecological functions. Despite this, there has been insufficient focus on accurately evaluating As ecotoxicity and its impact on soil ecological function under DW conditions. This study seeks to address this gap by examining the effects of DW on As toxicity and the characteristics of soil ecological function, specifically from the perspective of enzyme-based functional diversity. Our results reveal that compared to constant moisture conditions, DW treatment significantly increased the toxicity of As on alkaline phosphatase and β-glucosidase, with maximum inhibition rates observed at 46.29% and 21.54%, respectively. Conversely, for other tested enzymes including invertase, fluorescein diacetate hydrolase, and dehydrogenase, DW treatment decreased As toxicity, possibly be due to the different stability of these enzymes under varying soil moisture conditions. From an enzyme functional diversity perspective, DW treatment reduced the As toxicity, as evidenced by the reduced inhibition rates and a lower coefficient of variation. In conclusion, DW appears to enhance soil functional resilience against arsenic pollution. These findings contribute to a better understanding of changes in ecological functions in heavy metal-contaminated soils under dynamic environmental conditions, offering insights for improved monitoring and mitigation strategies for metalloids toxicity in natural environments.

Three-Dimensional Transthoracic Echocardiography for Semiautomated Analysis of the Tricuspid Annulus: Validation and Normal Values

The expansion of tricuspid valve (TV) interventions has underscored the need for accurate and reproducible three-dimensional (3D) transthoracic echocardiographic (TTE) tools for evaluating the tricuspid annulus and for 3D normal values of this structure. The aims of this study were to develop new semi-automated software for 3D TTE analysis of the tricuspid annulus, compare its accuracy and reproducibility against those of multiplanar reconstruction (MPR) reference, and determine normative values. Three-dimensional TTE images of 113 patients with variable degrees of tricuspid regurgitation were analyzed using the new semiautomated software and conventional MPR methodology (as the reference standard), each by three independent readers. For each measured parameter, intertechnique agreement was assessed using linear regression and Bland-Altman analyses, and interreader variability using intraclass correlation coefficients and coefficients of variation. Additionally, 3D TTE data sets of 789 subjects from the WASE (World Alliance Societies of Echocardiography) study were analyzed using this new software to determine normal values for each tricuspid annular (TA) parameter. Semiautomated measurements showed excellent agreement with MPR reference values for all TA measurements: high correlations (all r values >0.8) and minimal biases. All measurements were more reproducible than with MPR: higher intraclass correlation coefficients (0.94-0.96 vs 0.82-0.90) and lower coefficients of variation (5%-12% vs 8%-18%). Sex- and age-related differences were identified in 3D normal values of most TA parameters. Dynamic analysis showed that TA parameters vary throughout the cardiac cycle, reaching minimal values at end-systole and maximum values in late diastole. Novel software for semiautomated analysis of TA geometry and dynamics provides accurate and reproducible measurements. Normal values of TA dimensions, parsed by sex and age, are reported.