Quantitative Assessment Research Articles

Application of domino effect quantitative risk assessment to Natech accident triggered by earthquakes in a liquor storage tank area

Application of domino effect quantitative risk assessment to Natech accident triggered by earthquakes in a liquor storage tank area

Tailings storage facilities in China: historical failure incidents, existing status, and database-driven quantitative risk assessment

Tailings storage facility (TSF) failures in China have historically resulted in downstream consequences, including fatalities, economic harm, and environmental contamination. However, the nation-wide documentation on existing TSFs is incomplete, and the magnitude-frequency statistics of the failures are poorly quantified. These gaps have impeded ongoing efforts of risk assessment and mitigation. This study collates and analyzes new databases on historical TSF failures and existing TSFs in China. We report 143 TSF failures in China over the period 1957-2023, which exceeds the number (∼20) reported in previous studies. Magnitude-frequency statistics indicate that the mean return period for TSF failures in China with at least 10 fatalities is ∼5 years, while for those with released volumes >1 million m3 is ∼16 years. Our review confirms that there are at least 14,217 existing TSFs in China; therefore, the cumulative failure rate of TSFs in China is estimated to be ∼1%. We supply a database of 1,853 TSFs that lists the statistics such as storage volume and dam height. Using these datasets along with downstream demographic statistics, we undertake a regional risk assessment for Jilin Province, which identifies 11 TSFs with intolerable risks. Among these, the most critical TSF poses a potential loss of 175 lives. Our findings provide the most comprehensive picture of TSFs in China to date. We anticipate that this study will advance tailings disclosure practices in China and support screening-level risk assessments by provincial regulators to help prioritize community engagement and risk mitigation efforts.

Myocardial Fibrosis Assessment at 3-T versus 5-T Myocardial Late Gadolinium Enhancement MRI: Early Results.

Background Cardiac MRI at 5 T has recently become available and potentially improves tissue contrast enhancement at gadolinium chelate-enhanced T1-weighted imaging. Purpose To evaluate the feasibility of 5-T myocardial late gadolinium enhancement (LGE) MRI in assessing myocardial fibrosis by comparing image quality and LGE quantification with reference-standard 3-T myocardial LGE MRI. Materials and Methods Consecutive patients with confirmed myocardial fibrosis on previous 3-T MRI scans between January 2023 and July 2023 prospectively underwent follow-up imaging from August 2023 to November 2023. Each participant underwent follow-up 5-T imaging using an identical dose of contrast agent. Radiologist scoring of image quality using a Likert scale (range, 1-5), signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), contrast ratio, and semiautomatic quantitative LGE assessment were obtained and reported as medians and IQRs. Paired Wilcoxon signed rank tests were used to compare characteristics derived at 3-T and 5-T imaging. Results A total of 18 participants (mean age, 49 years ± 17 [SD]; nine male participants) were included, with a mean interval of 6.2 months ± 2.3 between undergoing 3-T and 5-T MRI. Median image quality scores were 4.0 (IQR, 3.0-4.2) at 3 T and 4.0 (IQR, 3.0-4.4) at 5 T (P = .45). SNR at 5 T was higher than at 3 T (183.7 [IQR, 147.2-255.9] vs 125.8 [IQR, 108.2-171.6], respectively; P = .002). Median CNR at 5 T was higher than at 3 T in normal myocardium (50.8 [IQR, 35.4-67.9] vs 16.5 [IQR, 11.3-24.6], respectively) and pericardial fat (21.4 [IQR, 7.1-29.3] vs -5.0 [IQR, -16.4 to -2.3], respectively) (both P < .001). There was no evidence of a difference in the percentage of LGE quantified between 5 T and 3 T (median, 11.8% [IQR, 7.7%-20.5%] vs 12.6% [IQR, 6.6%-20.4%], respectively; P = .81). Conclusion Myocardial LGE MRI at 5 T was found to be feasible, with no evidence of differences in subjective image quality and myocardial fibrosis quantification compared with 3-T myocardial LGE MRI. Furthermore, with use of identical contrast agent doses, SNRs and CNRs were improved at 5 T. Published under a CC BY 4.0 license. Supplemental material is available for this article. See also the editorial by Czum in this issue.

Conceptualization and standardization of a non-invasive closed head injury model using directed shockwave to mice

Traumatic brain injury (TBI) is a leading cause of death and disability worldwide, with closed head injury (CHI) being one of the most common forms of TBI. Preclinical modeling of TBI is challenging due to confounding factors like craniectomy and poorly controlled injury severity. This study proposes a non-invasive CHI model using directed shockwaves. The mice heads were exposed to the shockwave and accommodated together following the implantation of RFID tags for automated neurocognitive assessment. Following a 13-day paradigm, mice underwent a digital gait analysis and subsequent classical behavioral test paradigms for affective, cognitive, and locomotor functions. Qualitative and quantitative histopathological assessment was carried out for shockwave pulses-dependent changes in terms of lesion volume, neuronal death, dendritic complexity, and spine density. Studies showed shockwave pulses-dependent differences in survivability, righting reflex, neural damage, and death. Shockwave-exposed mice showed significantly impaired learning and cognitive flexibility. Interestingly, exposed mice showed locomotor hyperactivity and risk-taking behavior (lack of anxiety) along with depression-like phenotypes. Our result suggests that the shockwave-based CHI models result in the clinically relevant phenotype and are precisely controlled for reproducibility.

Покращення рухової активності в учнів 5 класів засобами рухливих ігор

The purpose of the work is to substantiate theoretically and verify experimentally the effectiveness of the method for improving 5th grade students’ motor activity by means of mobile games. Material and methods. The pedagogical experiment was carried out on the basis of the Krolevets Lyceum No. 1 of the Krolevets City Council of the Sumy Region. It enrolled 32 students of 5th grade from the main medical group. They were divided into a control group (CG, n=16, 5-A grade) and an experimental group (EG, n=16, 5-B grade). The term of the pedagogical experiment was September-November, 2023. Pupils of CG and EG studied according to the Model curriculum "Physical culture. 5-6 grades" for institutions of general secondary education. During Physical Education lessons in the CG, the teacher followed the planned tasks and work plan. A developed method of improving motor activity by means of mobile games was implemented in EG. Research methods: theoretical analysis of scientific and methodical literature, pedagogical experiment. The level of motor activity was determined on the basis of a set of indicators: the time of students’ motor activity with a reflection of its content and quality at different moments of the regime, which was determined with the method of individual timing; the amount of motor activity using the pedometry method for quantitative assessment of motor activity; the intensity of motor activity by the pulsometry method (calculation of heart rate in bpm) when various types of muscle activity were performed; methods of mathematical statistics. The results. At the ascertaining stage of the pedagogical experiment, the following indicators of the 5th grade students’ motor activity level were obtained: in CG, 3 students (19%) had a high level, 7 students (44%) had an average level, and 6 students (37%) had a low level. In EG, 3 students (19%) had a high level, 6 students (37%) had an average level, and 7 students (44%) had a low level. It is necessary to note that the indicators of CG and EG were at the same level. At the formative stage of the pedagogical experiment, a method for improving the motor activity of 5th grade students by means of mobile games was developed and implemented. The developed method was implemented into all forms of physical culture and health work in institution of general secondary education. Its content included mobile games directly during Physical Education lessons and during other forms. The developed method was implemented in three directions, in particular with students, teachers and parents. At the control stage of the pedagogical experiment, the following indicators were obtained: in CG, 4 students (25%) had a high level of motor activity, 7 students (44%) had an average level, and 5 students (31%) had a low level. In EG, 6 students (38%) had a high level of motor activity, 7 students (44%) had an average level, 3 students (18%) had a low level. Thus, in CG there is a significant percentage of 5th grade students who have a low level of motor activity, while in EG there are high and average levels of motor activity among 5th grade students. This fact proves the effectiveness of developed method for improving 5th grade students’ motor activity by means of mobile games. Conclusions. The method we had developed for improving 5th grade students’ motor activity by means of mobile games confirmed its effectiveness during the experimental test and can be recommended for use in the practical activities of a Physical Education teacher.

Advances in molecular imaging of kidney diseases.

Background Diagnosing and monitoring kidney diseases traditionally rely on blood and urine analyses and invasive procedures such as kidney biopsies, the latter offering limited possibilities for longitudinal monitoring and a comprehensive understanding of disease dynamics. Current non-invasive methods lack specificity in capturing intrarenal molecular processes, hindering patient stratification and patient monitoring in clinical practice and clinical trials. Summary Molecular imaging enables non-invasive and quantitative assessment of physiological and pathological molecular processes. By using specific molecular probes and imaging technologies, e.g., magnetic resonance imaging (MRI), positron emission tomography (PET), single-photon emission computed tomography (SPECT), or ultrasound (US), molecular imaging allows the detection and longitudinal monitoring of disease activity with spatial and temporal resolution of different kidney diseases and disease-specific pathways. Several approaches have already shown promising results in kidneys and exploratory clinical studies, and validation is needed before implementation in clinical practice. Key messages Molecular imaging offers a non-invasive assessment of intrarenal molecular processes, overcoming the limitations of current diagnostic methods. It has the potential to serve as companion diagnostics, not only in clinical trials, aiding in patient stratification and treatment response assessment. By guiding therapeutic interventions, molecular imaging might contribute to the development of targeted therapies for kidney diseases.

Preliminary investigation of the effects of high-temperature thermal activation on the activity of graphite tailings and the mechanical properties of graphite tailings mortar

The disposal of graphite tailings, a byproduct of graphite mining, poses significant recycling challenges. This study explores eco-friendly cement mortar by partially replacing sand with activated graphite tailings, focusing on waste utilization. Activating the pozzolanic properties of graphite tailings at various thermal activation temperatures converts them into high-quality binder materials. Quantitative assessments of graphite tailings' activity, conducted through ion leaching tests and raw material diffraction analysis, produce an activity index Ka, evaluating their performance under different thermal activation temperatures. Variable testing of substitution rates and activation temperatures examines changes in mechanical properties, microstructure, and pore distribution of the graphite tailings mortar. Optimum results reveal a 30 % substitution rate and a 750°C activation temperature. Graphite tailings, as pozzolanic binder materials, enhance mortar strength by improving particle size distribution, reducing "micro-area bleeding" and "boundary effects". After thermal activation, reactive minerals on the tailings' surface undergo secondary hydration reactions with cementitious products, modifying chemical structures and micro-morphology at the interface. Semi-quantitative XRD analysis and FT-IR spectroscopy characterize the ensuing chemical reactions, unveiling molecular bond and functional group changes. The superior performance of thermally activated graphite tailings primarily stems from increased active SiO2 and Al2O3 post-activation. The active SiO2 and Al2O3 reacts with cementitious products to form C-(A)-S-H gels, filling micro-pores at the tailings-mortar interface, which is the key characteristic that enables graphite tailings to serve as high-quality pozzolanic binder aggregates. A predictive model for compressive strength, utilizing reference models from solid waste mortar concrete, quantifies the positive impact of chemical activation. The theoretical results obtained from this predictive model closely align with the experimental findings.

Thermal hazard comparison and assessment of Li-ion battery and Na-ion battery

Na-ion batteries are considered a promising next-generation battery alternative to Li-ion batteries, due to the abundant Na resources and low cost. Most efforts focus on developing new materials to enhance energy density and electrochemical performance to enable it comparable to Li-ion batteries, without considering thermal hazard of Na-ion batteries and comparison with Li-ion batteries. To address this issue, our work comprehensively compares commercial prismatic lithium iron phosphate (LFP) battery, lithium nickel cobalt manganese oxide (NCM523) battery and Na-ion battery of the same size from thermal hazard perspective using Accelerating Rate Calorimeter. The thermal hazard of the three cells is then qualitatively assessed from thermal stability, early warning and thermal runaway severity perspectives by integrating eight characteristic parameters. The Na-ion cell displays comparable thermal stability with LFP while LFP exhibits the lowest thermal runaway hazard and severity. However, the Na-ion cell displays the lowest safety venting temperature and the longest time interval between safety venting and thermal runaway, allowing the generated gas to be released as early as possible and detected in a timely manner, providing sufficient time for early warning. Finally, a database of thermal runaway characteristic temperature for Li-ion and Na-ion cells is collected and processed to delineate four thermal hazard levels for quantitative assessment. Overall, LFP cells exhibit the lowest thermal hazard, followed by the Na-ion cells and NCM523 cells. This work clarifies the thermal hazard discrepancy between the Na-ion cell and prevalent Li-ion cells, providing crucial guidance for development and application of Na-ion cell.

Comprehensive Assessment of Intradermal Responses to Hyaluronic Acid-Based Skin Injection Fillers through Multi-Pathway Dynamic Synergies

Skin injection filling products must undergo a rigorous evaluation before entering the market, and intradermal reactions are crucial for biocompatibility. However, current evaluation methods for skin injection fillers often lack precision. This study aims to explore a comprehensive evaluation method by incorporating additional indicators: dermoscopy, transepidermal water loss, moisture content, ultrasound, and histological observation. Experimental findings show sodium hyaluronate gel groups exhibited no noticeable erythema or abnormalities, except for skin swelling. The dynamic and quantitative assessment of water content and transdermal water loss provided insights into the injection site skin's edema status. Ultrasound imaging observed subcutaneous material occupation and measured skin protrusion height. Histopathological observations revealed edema and inflammation in positive groups but no significant reactions in any gel samples. The comprehensive use of these methods confirms that the intradermal response of injection fillers in this study is within an acceptable range. However, if solely evaluated based on existing standards, it may exceed the qualified range. Consequently, the study suggests that for sodium hyaluronate gel, a macromolecular injection filler for long-term subcutaneous space occupancy, the traditional intradermal reaction scoring method may be inadequate. The proposed comprehensive evaluation scheme in this study is considered a more objective approach.

Improving Network Resilience Against DDoS Attacks: A Fuzzy TOPSIS-based Quantitative Assessment Approach

Improving Network Resilience Against DDoS Attacks: A Fuzzy TOPSIS-based Quantitative Assessment Approach

Quantitative assessments of white matter hyperintensities and plasma biomarkers can predict cognitive impairment and cerebral microbleeds in cerebral small vessel disease patients

The objective of this study is to examine the efficacy of magnetic resonance imaging (MRI) features and peripheral blood biomarkers in assessing cognitive function in patients with cerebral small vessel disease (CSVD). A total of 58 CSVD patients were recruited. Six features of white matter hyperintensities (WMHs) were derived from MRI scans. Additionally, five neurodegenerative biomarkers (Aβ40, Aβ42, t-tau, p-tau181, NfL) and 13 serum inflammatory cytokines (VILIP-1, CCL2, IL-6, IL-18, TNF-α, CX3CL, sTREM-1/2, VEGF, s-RAGE, BNDF, TGF-β1, β-NGF) were quantified. Cognitive assessments were conducted using standardized neuropsychological scales. Spearman analysis revealed that the volumetric characteristics (absolute area, upper area, bottom area, absolute area percentage, upper percentage, and bottom percentage) of WMHs were negatively correlated with performance on all cognitive scale measures except the verbal fluency test (VFT) (r < -0.3, p > 0.05), while they were positively correlated with plasma neurofilament light (NFL) levels (r > 0.4, p < 0.05). Additionally, serum tumor necrosis factor-α (TNF-α) and soluble receptor for advanced glycation end-products (s-RAGE) showed significant correlations with scales of speech function. An integrated model incorporating WMHs features, neurodegenerative biomarkers, and neuroinflammatory markers was developed, demonstrating high predictive accuracy for cognitive impairment with an area under the curve (AUC) of 0.95 (accuracy 0.88, sensitivity 0.87, specificity 0.89). Another integrated model that includes features of WMHs and inflammatory cytokines for predicting cerebral microbleeds (CMBs) achieved an AUC of 0.95 (accuracy 0.88, sensitivity 0.82, specificity 0.92). Our findings suggest that these markers have the potential to be used for the early detection of cognitive decline and CMBs in patients with CSVD.

Assessing the quality of the time delay estimate in acoustic leak localisation

The problem considered in this paper is assessing the quality of the time delay estimate between leak signals measured on water pipes. This is practically important, as a quantitative assessment of the accuracy of time delay estimation (TDE) results makes it possible to infer the reliability of acoustic leak localisation results in a given situation. Three quality assessment approaches are developed by considering the statistical properties of the cross-correlation function (CCF): information-criterion, processing gain, and statistical approaches. In the information-criterion approach, the Bayes factor (BF) is employed to decide the most likely probability distribution of observed CCF peak values. The processing gain approach determines the quality of the time delay estimate using indices that indicate detectability of the CCF peak, namely, the peak-to-side lobe ratio (PSR) and the peak-to-mean ratio (PMR). In the statistical approach, an index termed inconsistency score (ICS) is used to describe the quality of TDE results based on root-mean square of deviations of time delay estimates from their statistical mode. Experimental results show that the proposed approaches provide effective means of assessing the accuracy of the time delay estimate in acoustic leak detection applications. Also, the proposed indices can be employed as figures of merit for selecting best parameters for TDE, for example, filter cut-off frequencies.

Inventory and Quantitative Assessment of Geosites in the Southern Sector of the Island of Malta

Inventory and Quantitative Assessment of Geosites in the Southern Sector of the Island of Malta

Quantitative Computed Tomography Analysis in Rheumatoid Arthritis-Related Interstitial Lung Disease

BackgroundQuantitative chest computed tomography (CT) may be a useful predictor of outcome in rheumatoid arthritis-related interstitial lung disease (RA-ILD). Research QuestionWhat is the utility of deep learning-based lung fibrosis quantitation on CT in assessing disease severity, predicting mortality and identifying progression in RA-ILD? Study Design and MethodsCT scans on a primary cohort of 289 and a validation cohort of 50 individuals with RA-ILD were assessed quantitatively by using the data-driven texture analysis (DTA) method. We examined associations between quantitative scores for extent of lung fibrosis and pulmonary function and survival. ResultsDTA fibrosis score at baseline showed moderate negative correlation with forced vital capacity (FVC) percentage predicted (primary cohort rho=-0.55, validation cohort rho= -0.50, p<0.001 for both), and diffusing capacity for carbon monoxide (DLCO) percentage predicted (primary cohort rho=-0.67, validation cohort rho=-0.65, p<0.001 for both). Longitudinal change in DTA fibrosis score was associated with changes in FVC and DLCO in the primary cohort (rho=-0.46 and rho=-0.43, respectively, p<0.001 for both). Cox multivariable models adjusted for potentially influential variables showed that the baseline DTA fibrosis score was significantly associated with mortality risk (primary cohort hazard ratio [HR] 1.04, 95% confidence interval [1.03, 1.05], p<0.001; validation cohort HR 1.06, 95% confidence interval [1.01, 1.11], p=0.026).In the primary cohort increase in DTA fibrosis score on sequential scans was associated with increased risk of mortality (HR 1.04, 95% confidence interval [1.01, 1.06], p=0.003) independent of baseline DTA extent. InterpretationIn two cohorts of patients with RA-ILD, quantitative assessment of lung fibrosis on CT was associated with worse lung function at baseline and risk of mortality. Increase in DTA-derived lung fibrosis score on sequential scans was associated with subsequent risk of mortality. Quantitative CT should be considered for use as a clinical and research outcome assessment tool in RA-ILD.

UHPLC-MS/MS analysis of the influence of paclobutrazol application on Ophiopogon japonicus

The pharmacological effects of Ophiopogon japonicus are influenced by its active substances like saponins and flavonoids, which are crucial for assessing its quality. An ultra-high performance liquid chromatography tandem triple quadrupole mass spectrometry (UHPLC-MS/MS) method was developed for the qualitative and quantitative assessment of 20 saponins and flavonoids in O. japonicus. The average recovery of these compounds ranged from 70% to 130%, with relative standard deviations (RSD) between 0.11% and 16.46%. Planting O. japonicus in Santai County (Sichuan, China) and investigated the impact of 0.6, 1.3, 2.8, 5.6, and 11.3g/L concentrations of paclobutrazol on both root yield and the levels of saponins and flavonoids in O. japonicus. Lower paclobutrazol concentrations (1.3g/L) led to increased levels of saponins and flavonoids in O. japonicus such as ophiopogonin D′, ruscogenin and ophiopogonanone F, with paclobutrazol residues measuring 77.17μg/kg DW. This preliminary insight into the influence of paclobutrazol and production of saponin flavonoids in O. japonicus bears significance for its larger industrial production.

Generation of preoperative anaesthetic plans by ChatGPT-4.0: a mixed-method study.

Recent advances in artificial intelligence (AI) have enabled development of natural language algorithms capable of generating coherent texts. We evaluated the quality, validity, and safety of this generative AI in preoperative anaesthetic planning. In this exploratory, single-centre, convergent mixed-method study, 10 clinical vignettes were randomly selected, and ChatGPT (OpenAI, 4.0) was prompted to create anaesthetic plans, including cardiopulmonary risk assessment, intraoperative anaesthesia technique, and postoperative management. A quantitative assessment compared these plans with those made by eight senior anaesthesia consultants. A qualitative assessment was performed by an adjudication committee through focus group discussion and thematic analysis. Agreement on cardiopulmonary risk assessment was calculated using weighted Kappa, with descriptive data representation for other outcomes. ChatGPT anaesthetic plans showed variable agreement with consultants' plans. ChatGPT, the survey panel, and adjudication committee frequently disagreed on cardiopulmonary risk estimation. The ChatGPT answers were repetitive and lacked variety, evidenced by the strong preference for general anaesthesia and absence of locoregional techniques. It also showed inconsistent choices regarding airway management, postoperative analgesia, and medication use. While some differences were not deemed clinically significant, subpar postoperative pain management advice and failure to recommend tracheal intubation for patients at high risk for pulmonary aspiration were considered inappropriate recommendations. Preoperative anaesthetic plans generated by ChatGPT did not consistently meet minimum clinical standards and were unlikely the result of clinical reasoning. Therefore, ChatGPT is currently not recommended for preoperative planning. Future large language models trained on anaesthesia-specific datasets might improve performance but should undergo vigorous evaluation before use in clinical practice.

Analysis of convection and boil-off in multi-scale membrane LNG tanks under sloshing excitations

The marine storage and transportation of liquefied natural gas (LNG) in membrane tanks involves complex thermodynamic responses, significantly affecting system operation reliability. The study investigates the coupled problem of heat transfer and sloshing in LNG tanks through small-scale experiments and simulations. A tank partially filled with R134a was analyzed under various non-isothermal sloshing excitations to examine the free surface, flow, and heat transfer. Changes in fluid temperature, wall temperature, and heat flux were measured under different sloshing frequencies, amplitudes, and filling levels. A Computational Fluid Dynamics (CFD) analysis was performed, considering heat flow in the insulation layer and phase changes in the membrane tank. The tank was assumed to be vented. A Volume-of-Fluid (VOF) model with a dynamic mesh provided insights into the effects of sloshing on heat transfer and flow. Model feasibility was confirmed by comparing simulation results with fluid sloshing experiments. An extended sloshing Nusselt number was calculated, and a correlation formula related to sloshing conditions was developed, allowing for a quantitative assessment of enhanced heat transfer. Simulations explored evaporation characteristics in various scales of LNG tanks under static and sloshing conditions. The results showed that the evaporation rate of LNG increases as the tank scale decreases, with sloshing significantly impacting LNG storage and transportation. The study enhances the understanding of heat transfer and flow evolution in LNG tanks, improving the accuracy of evaporation models and providing insights for optimizing tank design and operation under sloshing conditions.

A Flexible Self-Powered Occlusal Force Sensor Array for Assisting Oral Occlusion Reconstruction

Occlusal force is increasingly being recognized as a key parameter for evaluating masticatory motor dysfunction and the effectiveness of dental management in patients. However, the evaluation of occlusal force lacks objective quantitative assessment and reliable monitoring techniques. Here, a flexible self-powered sensor array is proposed for real-time monitoring occlusal force to further assist in oral occlusion reconstruction. Employing the triboelectric nanogenerator technology, the battery-free sensor succeeds in effectively capturing static and dynamic occlusal forces from teeth and converting them into accurate and quantitative electrical signals. With an average sensitivity of 0.72 volts per Newton and a response time of 15 milliseconds, the sensor features excellent synchronicity in electro-mechanical conversion and durability. Furthermore, the sensor array, based on complementary semicircular electrodes (15 × 15 pixels), enables the construction of visualized electrical signals mapping, which can reflect the intensity and location of occlusal force. The patterned electrical signal distribution can then be analyzed by researchers, providing a quantitative reference for clinical crown restoration. We expect this self-powered sensor array to enrich the approaches of occlusal force detection and provide valuable assistance for the reconstruction of oral occlusion.

Dynamometry for the Assessment of Trunk Muscle Strength in Postpartum Women with Pregnancy-Related Posterior Pelvic Girdle Pain: A Reliability Study

ObjectivesTo investigate the inter and intra-rater reliability of maximum isometric trunk muscular strength in postpartum women with pregnancy-related posterior pelvic girdle pain using a handheld dynamometer. MethodsThirty women (30.13 ± 3.67 years) with pregnancy-related posterior pelvic girdle pain (PPGP) had their trunk muscular strength assessed using a handheld dynamometer. Inter-rater reliability was estimated for measurements of two separate raters on the first day of the investigation. The tests were repeated with the first rater seven days later to determine the intra-rater reliability. A digital handheld dynamometer was used for testing, and a metal bar was used to secure it to a table. Participants were instructed to use maximal force to push the dynamometer in various trunk flexion, extension, lateral flexion, and rotational orientations. Each trial was repeated three times and averaged to obtain the representative assessment data. Analysis of variance, interclass correlation, absolute agreement, and standard error of measurements were used to evaluate the repeatability of measurements. ResultsExcellent inter and intra-rater reliability were demonstrated. The inter-rater reliability, computed with intraclass correlation coefficient (ICC), ranged from 0.979 to 0.992, and intra-rater reliability (ICC) ranged from 0.966 to 0.987. The standard error of measurement ranged from 0.35% to 1.26% for the different tests. Additionally, the dynamometer values in women with PPGP might be reported using just one trial after an instruction. ConclusionThe maximum isometric trunk muscular strength is reliable, and a quantitative assessment of the trunk strength in women with postpartum pregnancy-related posterior pelvic girdle pain and could be used to monitor the changes in postural stability between sessions.

A novel approach for microbial activity assessment in bioleaching. Towards to a standardised fast starting up protocol

Biohydrometallurgy is a proven industrial method for extracting base metals from sulfidic ores with low-grade content and as a pre-treatment of Au ores. The lack of study of biological aspects related with microbial activity assessment makes it difficult to control and monitor these processes; and the multitude of experimental procedures described in the literature hinders cross-study comparisons among researchers. Experimental tools that allow a quick and reliable quantitative assessment of the iron oxidising capacity of the cells during the bioleaching process are needed. This work proposes monitoring microbial activity through a simple and reliable method based on the offline measurement of the Oxygen Uptake Rate (OUR). The methodology allows to quantify the microbial activity evolution of a growing culture under no-limiting conditions. By this methodology, the maximum potential bioleaching rate of the culture at any time is determined, assessing the occurrence of a biological or chemical limitation. The results obtained reveals that whether due to Fe2+ or O2 depletion, substrate availability significantly limits microbial activity. This aspect is key to assess a culture suitability for bioleaching bioreactor inoculation, preventing long lag phases. Furthermore, the methodology allows for quick disturbances correction, avoiding process shutdowns and enhances technological reliability of continuous bioleaching.