Search Results (168)

To ensure an accurate homogeneity test, animal feed manufacturers should apply standardised techniques and procedures, which aim to guarantee the product quality. Our objective was to propose a new protocol for performing concentrate ration homogeneity tests in commercial feed mills, based on three main points: the suitability of different minerals as markers; establishing a simplified and reliable sampling protocol; and developing a simplified statistical approach for evaluating marker dispersion among increments. Four horizontal commercially available mixers were used. Increments were collected sequentially during the mixer-emptying time over five consecutive days, totalling 200 increments, in which nine potential mineral markers were evaluated. The minerals potassium (K) and magnesium (Mg) were considered suitable, as they simultaneously exhibited low variability among batches, among mixers, and among increments. Based on the variation patterns of K and Mg, the new protocol for homogeneity testing in feed mill concentrate rations is based on the following additional key points: two increments must be collected per ration batch, taken during the mixer-emptying operation—specifically at the second and eight tenths of the mixer-emptying time, and a concentrate ration mixture is considered homogeneous when the ratio between the highest and lowest marker contents in the increments is lower than 1.26. Full article

This study compared CO₂ emissions during a WLTP (Worldwide Harmonized Light-Duty Vehicles Test Procedure) test performed on a chassis dynamometer for the same flex-fuel vehicle, fuelled sequentially with E10 gasoline and E85 fuel. Based on the test data, a CO₂ emissions map was created, describing its dependence on speed and acceleration. The use of a 3D surface enabled the visualisation of the whole dynamics of emissions as a function of engine load in the WLTP cycle, including the identification of distinct emission peaks in areas of high positive acceleration. Analysis of the emission surface enabled the identification of structural differences between the fuels. For E85, more pronounced emission increases are observed in areas of intense acceleration, a consequence of the higher fuel demand resulting from the lower calorific value of bioethanol. In steady-state and moderate-load driving, CO₂ emissions for both fuels are similar. The results confirm that the main differences between E10 and E85 are not simply a shift in emission levels per se, but stem from variations in engine load during the dynamic cycle. Although E85 emits measurable CO₂ emissions, its carbon is not of fossil origin, highlighting the importance of biofuels in the context of greenhouse gas emission reduction strategies and the pursuit of climate neutrality. The presented methodology, combining chassis dynamometer tests with analysis of the speed-acceleration emission map, provides a tool for clearly identifying emission zones and can serve as a basis for further optimisation of engine control strategies and assessing the impact of fuel composition on emissions under dynamic conditions. Full article

Background and Objectives: In severe COVID-19-associated sepsis, therapeutic plasma exchange (TPE) is used as a rescue strategy to modulate cytokine and coagulation derangements, but its biomarker and organ-failure effects remain incompletely characterised. We evaluated peri-procedural changes in interleukin-6 (IL-6), other inflammatory markers, and Sequential Organ Failure Assessment (SOFA) scores according to TPE intensity, timing, and inflammatory phenotypes. Methods: We conducted a single-centre retrospective cohort study including 102 mechanically ventilated adults with COVID-19-associated sepsis who received ≥1 TPE session. Patients were grouped by number of sessions (1, 2, ≥3), timing (≤14 vs. >14 days from symptom onset), IL-6 responder status (≥50% reduction), and two unsupervised inflammatory–thrombotic clusters. Peri-procedural changes (Δ) in biomarkers and SOFA were compared using non-parametric tests, with multivariable logistic and linear regression exploring predictors of IL-6 response and ΔSOFA. Results: Baseline severity was similar across TPE-intensity groups, with median APACHE II scores of 11–12 and SOFA scores around 7 in all strata. Median IL-6 concentrations declined after TPE in each group (e.g., Δ −59.4 pg/mL after 1 session and Δ −65.1 pg/mL after ≥3 sessions), but between-group differences in ΔIL-6 were not statistically significant (p = 0.276). By contrast, D-dimer exhibited a marked decline only in the 1-session group (median Δ −1.7 mg/L vs. ~0.0 mg/L in the 2- and ≥3-session groups; p < 0.001). Timing (early vs. late TPE) did not materially affect ΔIL-6, ΔCRP, ΔSOFA (median 0.0 in both), or ΔD-dimer. Overall, 50% of patients were IL-6 responders; baseline IL-6 was the only independent predictor (adjusted OR 1.9 per doubling, 95% CI 1.3–2.8). A hyperinflammatory–thrombotic cluster (n = 44) exhibited higher baseline IL-6 (612.3 vs. 92.4 pg/mL), more ≥3-session TPE (65.9% vs. 29.3%), and higher IL-6 responder rates (75.0% vs. 31.0%), but similar 28-day mortality (40.9% vs. 29.3%). Conclusions: In this real-world TPE programme, biochemical improvements—particularly IL-6 and D-dimer reductions in hyperinflammatory–thrombotic patients—were not consistently accompanied by short-term SOFA or survival benefits, underscoring the need for phenotype-guided and trial-based use. Full article

In this study, a battery case was developed using a 3D (three dimensional)-printed composite of hexagonal boron nitride (hBN) and polylactic acid (PLA) to enhance the thermal performance of lithium-ion battery (LiB) modules. A 10 wt.% amount of hBN was incorporated into the PLA matrix to improve the composite’s thermal conductivity while maintaining electrical insulation. A 3S2P (3 series and 2 parallel) battery configuration was initially evaluated based on the results of a baseline study for comparison and subsequently subjected to a newly developed test procedure to assess the thermal behavior of the designed case under identical environmental conditions. Initially, X-ray diffraction (XRD) and scanning electron microscopy (SEM) analyses were utilized for material characterization, and their results verified the successful integration of hBN by confirming its presence in the hBN-PLA composite. In thermal tests, experimental results revealed that the fabricated hBN-PLA composite battery case significantly enhanced heat conduction and reduced surface temperature gradients compared to the previous baseline study with no case. Specifically, the maximum cell temperature (T_max) decreased from 48.54 °C to 45.84 °C, and the temperature difference (ΔT) between the hottest and coldest cells was reduced from 4.65 °C to 3.75 °C, corresponding to an improvement of approximately 20%. A 3S2P LiB module was also tested under identical environmental conditions using a multi-cycle charge–discharge procedure designed to replicate real electric vehicle (EV) operation. Each cycle consisted of sequential low and high discharge zones with gradually increased current values from 2 A to 14 A followed by controlled charging and rest intervals. During the experimental procedure, the average ΔT between the cells was recorded as 2.38 °C, with a maximum value of 3.50 °C. These results collectively demonstrate that the 3D-printed hBN-PLA composite provides an effective and lightweight passive cooling solution for improving the thermal stability and safety of LiB modules in EV applications. Full article

Total joint arthroplasty is among the most common surgical procedures performed worldwide, with frequency increasing due to demographic changes. Accelerating the diagnostic process using new techniques is crucial for effective therapy. This pilot study aims to test such innovative technology in the context of periprosthetic joint infection (PJI) using Scattered Light Integrating Collector (SLIC) technology. While we wish to evaluate whether SLIC can be used to reliably detect the status of infection within human tissue samples in the future, our current research focused on building its foundation by evaluating steps of sample preparation that allow for heightened growth depiction. It is, to our knowledge, the first study concerning the usage of solid human tissue samples using the SLIC device. Adult patients presenting with native or periprosthetic joint infections were included in this prospective study. Biopsies were obtained using sequential sampling, and bacterial density was optimized through titration series. Cryopreservation and agents influencing coagulation were investigated. Our study demonstrates that simple pretreatment could aid in detecting pathogen growth in infected tissue samples. Findings showed a clear advantage for no addition of agents affecting coagulation. Additionally, our protocols proved reliable after prolonged cryopreservation at −20 °C for up to 8 weeks, showing no significant difference compared to primary testing. AUC comparison showed comparable results for sample storage at −80 °C for up to 8 weeks. Similar outcomes were seen for samples ranging from 25 µL to 300 µL, with biological replicates displaying higher thresholds for larger volumes without significant differences. This study introduces a simple and quick diagnostic tool for detecting bacterial growth using tissue biopsies and develops an SOP for further research with this innovative technique. The suggested SOP enables SLIC to hint at an underlying bacterial infection within 5 h using joint tissue, offering a possible novel approach in diagnosing periprosthetic joint infections and septic arthritis. While not yet designed to compare sensitivity to other culture methods, it provides a solid basis for further clinical research. Full article

In this research, a preconcentration procedure was developed for the sequential determination of chromium and vanadium using high-resolution continuum source graphite furnace atomic absorption spectrometry (HR-CS GFAAS). Due to low concentrations, chromium and vanadium were determined following preconcentration onto exfoliated graphite using ultrasound-assisted dispersive micro-solid-phase extraction (US DMSPE). The experimental parameters, including pH of the sample solution, the amount of exfoliated graphite, extraction time, elution conditions, as well as the main parameters of HR-CS GFAAS, were investigated. The calculated limits of detection for Cr and V were 0.003 µg g⁻¹ and 0.006 µg g⁻¹, respectively. The preconcentration factors obtained for Cr and V were 28 and 34, respectively. The RSD ranged from 0.3% to 3.4% for Cr and from 0.9% to 4.6% for V. The accuracy of this method was validated by analyses of INCT-MP4-2 (Mixed Polish Herbs) certified reference material. The measured chromium and vanadium contents were in satisfactory agreement with the certified values according to the t-test for a 95% confidence level. The proposed method was successfully applied for the determination of both elements in herbs such as hawthorn flower, hawthorn fruit, motherwort, white mulberry leaf, common milkweed, mistletoe, valerian root, and horse chestnut bark. Full article

The presence of heavy metals in soils poses a serious threat due to these harmful elements being transported into the food chain. The aim of the presented research was to evaluate the effect of the extraction of selected heavy metals from soil with a 1 M aqueous solution of citric acid (CA) on the chemical (including mobile) forms of these elements and their bioavailability. A soil sample taken in an industrial area was extracted. Then the total content of selected heavy metals (Pb, Zn, Cu, Cd, Ni), their chemical forms (determined by sequential extraction according to the BCR procedure) and bioavailable forms (determined by one-step extraction with a 1 M HCl) were determined in both types of soil, before and after extraction. The tested soil contained significant amounts of the tested metals, and the amounts can be compared as follows: Pb ≥ Zn > Cu ≥ Cd > Ni. The greatest threat to the environment is associated with the presence of cadmium and lead in the tested soil, the content of which exceeds the limits set for soils in industrial areas. In addition, the level of presence of heavy metals in bioavailable and mobile chemical forms, was considered significant. No clear correlation was observed between the content of the analyzed metals in mobile and bioavailable forms. The tested soil contained significant concentrations of Pb (2141 mg/kg), Zn (2030 mg/kg), Cu (68 mg/kg), Cd (63 mg/kg), and Ni (23 mg/kg), which were reduced to 857, 589, 42, 28, and 14 mg/kg, respectively, after extraction with 1 M CA. The extraction process with a CA solution reduced the content of all metals, and the efficiency of the process can be compared as follows: Zn > Pb > Cd > Ni ≥ Cu, with efficiencies of 71%, 60%, 55%, 41% and 39%, respectively. The extraction process reduced the metal content of all the bioavailable and chemical fractions. The shares of metals in the mobile fractions decreased in favor of the immobilized fractions and ones more stable in the environment. After the process of leaching metals from the soil, a clear tendency towards equalization of the heavy metal content in the mobile and bioavailable fractions was observed. Full article

Stress, workload, and uncertainty characterize occupational tasks across sports, healthcare, military, and transportation domains. Emerging theory and empirical research suggest that coordinated whole-body movements may reflect these transient mental states. Wearable sensors and optical motion capture offer opportunities to quantify such movement dynamics and classify mental states that influence occupational performance and human–machine interaction. We tested this possibility in a small pilot study (N = 10) designed to test feasibility and identify preliminary movement features linked to mental states. Participants performed a perceptual decision-making task involving facial emotion recognition (i.e., deciding whether depicted faces were happy versus angry) with variable levels of stress (via a risk of electric shock), workload (via time pressure), and uncertainty (via visual degradation of task stimuli). The time series of movement trajectories was analyzed both holistically (full trajectory) and by phase: lowered (early), raising (middle), aiming (late), and face-to-face (sequential). For each epoch, up to 3844 linear and non-linear features were extracted across temporal, spectral, probability, divergence, and fractal domains. Features were entered into a repeated 10-fold cross-validation procedure using 80/20 train/test splits. Feature selection was conducted with the T-Rex Selector, and selected features were used to train a scikit-learn pipeline with a Robust Scaler and a Logistic Regression classifier. Models achieved mean ROC AUC scores as high as 0.76 for stress classification, with the highest sensitivity during the full movement trajectory and middle (raise) phases. Classification of workload and uncertainty states was less successful. These findings demonstrate the potential of movement-based sensing to infer stress states in applied settings and inform future human–machine interface development. Full article

Real-time statistical inference plays a pivotal role in maritime Command and Control (C2) environments, particularly for applications such as satellite-based object detection and underwater signal interpretation. These contexts often require online multiple hypothesis testing mechanisms capable of sequential decision-making while preserving statistical rigor. A primary concern is the control of the False Discovery Rate (FDR), as erroneous detections can impair operational effectiveness. In this study, we investigate the robustness of the Levels based On Recent Discovery (LORD) algorithm under adversarial conditions by introducing controlled perturbations to the data stream—specifically, missing or corrupted p-values derived from simulated Gaussian distributions. Inspired by developments in corruption-aware multi-armed bandit models, we formulate adversarial scenarios and propose defense strategies that modify the LORD algorithm’s threshold sequence and integrate an online Benjamini–Hochberg procedure. The results, based on extensive Monte Carlo simulations, demonstrate that even a single missing p-value can trigger a cascading effect that reduces statistical power, and that our proposed mitigation strategies significantly improve algorithmic resilience while maintaining FDR control. These contributions advance the development of robust online statistical decision-making tools for real-time maritime surveillance systems operating under uncertain and error-prone conditions. Full article

Ensuring bacterial safety of blood transfusions remains a critical focus in medicine. We investigated a novel pathogen reduction technology utilizing nylon functionalized with synthetic dyes (nylon affinity networks) to capture and remove bacteria from plasma. In the initial screening process, we spiked phosphate buffer solution (PBS) and human plasma (1 mL each) with 10 or 100 colony forming units (cfu) of either Escherichia coli or Staphylococcus epidermidis, exposed the suspensions to affinity networks and assessed the extent of bacterial reduction using agar plate cultures as the assay output. Nineteen synthetic dyes were tested. Among these, Alcian Blue exhibited the best performance with both bacterial strains in both PBS and plasma. Next, bacterial suspensions of approximately 1 and 2 cfu/mL in 10 and 50 mL, respectively, were treated with Alcian Blue affinity networks in three sequential capture steps. This procedure resulted in complete bacterial depletion, as demonstrated by the lack of bacterial growth in the remaining fraction. The viability of the captured bacteria was confirmed by plating the post-treatment affinity networks on agar. Alcian Blue affinity networks captured and sequestered a few plasma proteins identified by liquid chromatography tandem mass spectrometry. These findings support the potential applicability of nylon affinity networks to enhance transfusion safety, although additional investigations are needed. Full article

Background/Objectives: Guided implant surgery relies on the use of surgical templates to direct osteotomy drills, but guide design may influence irrigation efficiency, hence bone overheating, a critical factor in preventing thermal necrosis. This ex vivo study compared temperature changes when drilling using two guide designs: a closed-frame (occlusive structure) and an open-frame (non-occlusive design), evaluating their clinical relevance in mitigating overheating. Methods: Sixteen pig ribs were scanned, and implant osteotomies were planned via a guided surgery software. Two 3D-printed resin templates, one with a closed-frame design and one with an open-frame design, were tested (8 ribs per group, 24 implants per group). Drilling was performed sequentially (diameter of 1.9 mm, 3.25 mm, and 4.1 mm) at 800 rpm, while bone temperatures were recorded at depths of 3 mm and 10 mm using K-type thermo§s. Results: Significantly higher temperature rises were observed with the closed-frame guide. Drilling depth had also a significant influence, with higher temperatures at 3 mm than 10 mm (p < 0.001), suggesting that cortical bone density may amplify frictional heat. No significant effect of drill diameter was detected. Conclusions: Within the limitations of this ex vivo model, the open-frame design kept the maximal temperature rise about 0.67 °C lower than the closed-frame guide (1.22 °C vs. 0.55 °C), i.e., a 2.2-fold relative reduction was observed during the most demanding drilling step. This suggests a more efficient cooling capacity, especially in dense cortical bone, which offers a potential benefit for minimizing thermal risk in guided implant procedures. Full article

Experimental design is important for researchers and those in other fields to find factors affecting an experimental response. The response surface methodology (RSM) is a special experimental design used to evaluate the significant factors influencing a process and confirm the optimum conditions for different factors. RSM models represent the relationship between the response and the influencing factors established with the regression analysis. Then these equations are used to produce the contour and response surface plots for observers to determine the optimization. The influence of regression techniques on model building has not been thoroughly studied. This study collected twenty-five datasets from the literature. The backward elimination procedure and t-test value of each variable were adopted to evaluate the significant effect on the response. Modern regression techniques were used. The results of this study present some problems of RSM studies in the previous literature, including using the complete equation without checking the statistical test, using the at-once variable deletion method to delete the variables whose p-values are higher than the preset value, the inconsistency between the proposed RSM equations and the contour and response surface plots, the misuse of the ANOVA table of the sequential model to keep all variables in the linear or square term without testing for each variable, the non-normal and non-constant variance conditions of datasets, and the finding of some influential data points. The suggestions for applying RSM for researchers are training in the modern regression technique, using the backward elimination technique for sequential variable selection, and increasing the sample numbers with three replicates for each run. Full article

Introduction: Radiofrequency ablation (RFA) of the genicular nerve is an increasingly common treatment for chronic knee pain, refractory to conservative measures. However, RFA often provides significant but temporary relief, and patients return for repeat RFAs for the treatment of their pain. This study investigates the efficacy of repeat RFAs compared to the initial RFA for patients who receive repeat RFAs for chronic knee pain. Methods: This study is a retrospective chart review and analysis that was conducted between 2015 and 2023. Groups were determined by the number of RFA procedures that patients received, and a one-tailed ANOVA test was performed to assess the statistical significance of the initial RFA and the three repeat RFA groups. A one-way ANOVA was performed to analyze statistical differences between percent improvement, preoperative pain scores, and the duration of improvement using the visual analog scale (VAS). A p-value of statistical significance was set at p < 0.05. A paired two-tailed T-test was carried out, individually comparing the initial RFA to the three repeat groups for percent improvement. A paired t-test was also carried out to compare initial and first repeat RFAs for preoperative pain score and duration of improvement. Results: A total of 42 patients underwent repeat RFA procedures, with 8 receiving bilateral treatments, totaling 50 knees and 116 procedures. The original RFA group demonstrated a mean percent improvement of 75% ± 25% (mean ± SD) and a duration of improvement of 9.46 ± 5.45 months. The first repeat group had a mean percent improvement of 66% ± 29% and a duration of improvement of 8.77 ± 7.32 months. The second repeat group had a mean percent improvement of 67% ± 24% and a duration of improvement of 10.00 ± 2.45 months. The third repeat group had a mean percent improvement of 85% ± 20% and a duration of improvement of 4.00 months. ANOVA revealed no statistically significant differences among the groups in preoperative scores (p = 0.40), percent improvement (p = 0.25), or duration of improvement (p = 0.79). Paired t-tests showed a significant decrease in percent improvement in the first repeat RFA compared to the original RFA (p = 0.04), but no significant differences were observed in preoperative scores (p = 0.057) or duration of improvement (p = 0.175). No significant differences were found in percent improvement via paired T-test between the original RFA and the second (p = 0.75) or third repeats (p = 0.21). Conclusions: The repeat RFA of genicular nerves retains a clinically significant level of pain reduction for chronic knee pain. However, this study demonstrated decreased pain relief following the first repeat RFA compared to the initial RFA when analyzing individual knees sequentially via a paired T-test. An analysis of initial, first, second, and third repeat groups via ANOVA showed no difference in percent improvement, duration of pain relief, or preoperative pain scores. Full article

When hypotheses are tested in a stream and real-time decision-making is needed, online sequential hypothesis testing procedures are needed. Furthermore, these hypotheses are commonly partitioned into groups by their nature. For example, RNA nanocapsules can be partitioned based on the therapeutic nucleic acids (siRNAs) being used, as well as the delivery nanocapsules. When selecting effective RNA nanocapsules, simultaneous false discovery rate control at multiple partition levels is needed. In this paper, we develop hypothesis testing procedures which control the false discovery rate (FDR) simultaneously for multiple partitions of hypotheses in an online fashion. We provide rigorous proofs for their FDR or modified FDR (mFDR) control properties and use extensive simulations to demonstrate their performances. Full article

Background/Objectives: The aim of this study was to investigate the effects of periodontal blood flow on the periapical region during various endodontic disinfection procedures. The hypothesis that periodontal blood flow reduces the increase in root surface temperature during disinfection procedures was tested. Methods: One hundred and twenty extracted human teeth were shortened to 11 mm and the root canal was prepared using the F4 ProTaper Gold system. The specimens were covered with wax and then sealed in a thermoforming sheet, leaving a gap of 0.2 mm. Cannulas were attached to simulate stable fluid circulation. Thermographic evaluation was carried out using an infrared camera. The following methods were chosen for disinfection: I, λ445 nm diode laser (0.6 W, cw); II, λ445 nm diode laser, 3 W, pulsed, duty cycle 50%, 10 Hz; III, λ445 nm diode laser, 3 W, pulsed, duty cycle 75%, 10 Hz; IV, λ970 nm diode laser, 2 W, pulsed, duty cycle 50%, 10 Hz; V, λ970 nm diode laser, 2 W, pulsed, duty cycle 75%, 10 Hz; VI, experimental plasma device (2.5 W, 3.7 V); VII, heat plugger (200.0 °C); VIII, NaOCl 3% (60 °C). The results were analyzed statistically using the Kruskal–Wallis test. When there were significant differences between the groups (p < 0.05), the pairwise Mann–Whitney test with sequential Bonferroni correction was applied. Results: The smallest temperature changes, with a median value of 0.82 °C (max. 2.02 °C, min. 0.15 °C, IQR 0.87 °C), were observed using the laser at a setting of λ445 nm, 0.6 W cw, and a circulation rate of 6 mL/min. The highest temperature changes were measured at a fluid circulation rate of 0 mL/min with a laser setting of λ445 nm, 3 W, pulsed, duty cycle 75% with a median value of 21.7 °C (max. 25.02 °C, min. 20.29 °C, IQR 2.04 °C). Conclusions: Disinfection procedures with laser, NaOCl, and an experimental plasma device can lead to an increase in root surface temperature. With the exception of the heat plugger, no significant temperature changes were observed. This study was conducted in vitro, which may limit the direct applicability of the results to clinical scenarios. Nevertheless, the simulation of blood flow showed a thermally protective effect, suggesting that clinical protocols should consider this variable when selecting thermal disinfection methods. These results support the hypothesis that periodontal blood flow may have a potentially positive influence on temperature changes during disinfection procedures. Full article