Reliable Criteria Research Articles

Evaluation of early and systematic ultrasound examination to determine postoperative dehiscence after small intestinal surgery (114 cases in dogs and cats).

To evaluate the feasibility and reliability of early ultrasound diagnosis for postsurgical bowel dehiscence and find the most reliable ultrasound criteria for dehiscence identification. Additionally, to determine the impact of early ultrasound detection of leakage in terms of survival and duration of hospitalization. Finally, to assess the need for systematized screening or checkup of the population at risk of dehiscence only. 31 cats and 83 dogs. A retrospective, records-based study was performed on 83 dogs and 31 cats (114 total) undergoing small intestinal surgery. Epidemiologic data, clinical signs, surgical procedures, pre- and postoperative ultrasound findings at 48 to 96 hours, hospitalization duration, complications, and general outcomes were recorded. Univariate and multivariate analyses were used to identify ultrasound findings associated with dehiscence. Dehiscence was suspected by ultrasound for 0 of 31 cats and 7 of 83 dogs (2 of 49 for enterotomy and 5 of 34 for enterectomy). Every suspected dehiscence was confirmed during revision surgery except one enterectomy revision, which was declined by the owner. Neither this case nor those without ultrasound evidence of dehiscence developed clinical signs of intestinal leakage. Direct visibility of wall discontinuity, presence of gas bubbles, and liquid in vicinity of the intestinal surgical site were statistically associated with early dehiscence. Survival rate after the second surgery was 83%. Median hospitalization time after the second surgery for dehiscence was 2 days (minimum, 2 days; maximum, 4 days). Postoperative ultrasound examination between 48 and 96 hours after intestinal surgery allows early and sensitive detection of intestinal dehiscence. Survival rate after revision surgery was significantly higher than that associated with septic peritonitis.

How artificial intelligence shapes the future of biomaterials?

Biomaterials are playing a transformative role in modern medicine, revolutionizing both diagnosis and treatment options. The advent of advanced artificial intelligence (AI) tools is poised to significantly impact the field of biomaterials. AI is expected to play a critical role not only in the design and development of biomaterials but also in establishing new standards and refining definitions within this domain. AI can provide invaluable assistance by offering sophisticated tools to organize and analyze vast amounts of data. By leveraging AI’s capabilities, researchers can efficiently sift through extensive datasets, interpret results, and verify the efficacy of new biomaterials across a wide range of applications. This data-driven approach facilitates a deeper understanding of biomaterial interactions and performance, ensuring that new innovations meet rigorous standards. In this era, refining definitions and establishing a universal understanding are crucial for evaluating biomaterials more efficiently. AI can help achieve this by identifying patterns and correlations that might be overlooked by traditional methods, leading to more precise and reliable criteria for biomaterial assessment. Looking ahead, the integration of comprehensive data and advanced AI tools is expected to significantly enhance the effectiveness and quality of biomaterials. This synergy will ensure that biomaterials can meet the diverse and evolving needs of modern medicine, driving forward innovations that improve patient outcomes and healthcare practices.

Development of an Electronic Clinical Surveillance Measure for Unnecessary Rapid Antibiotic Administration in Suspected Sepsis.

Substantial efforts focus on monitoring and reducing delays in antibiotic treatment for sepsis, but little has been done to characterize the balancing measure of sepsis overtreatment. We aimed to establish preliminary validity and usefulness of electronic health record (EHR) data-derived criteria for sepsis overtreatment surveillance (SEP-OS). We evaluated adults with potential sepsis (≥2 Systemic Inflammatory Response Syndrome criteria within 6 hours of arrival) presenting to the emergency department of 12 hospitals, excluding patients with shock. We defined SEP-OS as the proportion of patients receiving rapid IV antibiotics (≤3 hours) who did not ultimately meet the Centers for Disease Control Adult Sepsis Event "true sepsis" definition. We evaluated the frequency and characteristics of patients meeting overtreatment criteria and outcomes associated with sepsis overtreatment. Of 113 764 eligible patients, the prevalence of sepsis overtreatment was 22.5%. The measure met prespecified criteria for reliability, content, construct, and criterion validity. Patients classified by the SEP-OS overtreatment criteria had higher median antibiotic days (4 days [IQR, 2-5] vs 1 day [1-2]; P < .01), longer median length of stay (4 days [2-6] vs 3 days [2-5]; P < .01), higher hospital mortality (2.4% vs 2.1%; P = .01), and higher frequency of Clostridium difficile infection within 6 months of hospital discharge (P < .01) compared with "true negative" cases. We developed a novel, valid EHR metric for clinical surveillance of sepsis overtreatment. Applying this metric to a large cohort of potential sepsis patients revealed a high rate of overtreatment and provides a useful tool to inform sepsis quality-improvement targets.

A-323 Advancing Point-of-Care Testing: Independent Evaluation of the Truvian Platform

Abstract Background To address the deficiencies of long turnaround time, increased cost and delayed medical intervention in the current paradigm of routine blood testing, Truvian has developed an automated blood testing platform that provides timely and lab-accurate results at the point of care. With 300 µL from a single Lithium Heparin blood sample, the Truvian solution generates 34 test results, including CMP, Lipid, HbA1c, TSH and CBC in under 30 minutes (TruWellness PanelTM).The present study focused on rigorous evaluation of the reliability and accuracy of Truvian's platform in a real-world clinical setting by untrained operators. Platform precision was measured over time on multiple Truvian instruments under standardized protocol. Accuracy and reliability were assessed independently at the UC San Diego Anti-Viral Research Center (AVRC) by testing samples from donors with chronic medical conditions and comparing against FDA cleared devices, Roche Cobas and Sysmex-XN. Methods Precision was assessed using the control workflow where three commercially available controls, were loaded as sample inputs into the Truvian consumables to perform the TruWellness Panel(TM). Three levels of controls were run in quadruplicate daily on 4 instruments (N &amp;gt; 100 per instrument). Within and between run, day, instrument, and consumable lot variance components were assessed.Accuracy was assessed as part of an IRB-approved method comparison study at AVRC by untrained operators. A total of 50 unique donors representing various disease states were consented and enrolled. Three 4-mL blood samples were collected from each donor: one Lithium Heparin (LiHep) sample for the Truvian System's TruWellness PanelTM, another LiHep gel tube for Roche Cobas clinical chemistry and TSH assays, and an EDTA sample for the Sysmex complete blood count with 3-part differential and HbA1c. All samples were tested on the Truvian System within an hour of collection or processed for central lab testing. Concordance to comparator devices was assessed via relative difference plots, Passing-Bablok and/or Deming regression analyses. Results Our results indicated that the performance of Truvian's instrument met pre-specified reliability, precision and accuracy criteria (per preliminary analysis of the first 50 patients). Reproducibility results showed 100% (69/69) of all tests met specifications. Interim analysis of the first 50 patients in the method comparison study indicates a robust concordance with predicate devices with 20 out of 23 tests showing a correlation coefficient of ≥ 0.9. During donor testing, the instrument demonstrated 96% (48/50) run reliability with only a single operator-induced error where the blood tube was not loaded correctly, highlighting the robustness and ease of use of the platform. Conclusions The present evaluation underscores Truvian's instrument as an easy-to-operate platform that can be run by untrained operators, maintain reliability in real-world clinical settings, and deliver accurate and precise results. Enrollment and sample testing are ongoing, with plans to expand the sample size to 200 donors and study completion planned for May 2024. Broadening the study to encompass a wider range of analyte measurements among chronic disease patients is expected to enhance performance data. This independent evaluation provided confidence in Truvian Platform’s performance and suitability for practical healthcare applications.

Requirements and Key Features of a Mobile Application for Adolescent Self-Care From a Stakeholders Perspective: A Qualitative Study.

Adolescence is characterized by many changes and these changes differentiate adolescents' self-care needs. The use of smartphones and tablets to provide healthcare services has expanded, and the user-centered design could help to create mobile applications based on users' needs. Therefore, the present study aimed to identify the data requirements and key features of mobile application for adolescent self-care from a stakeholder perspective. This study was conducted with a qualitative approach to identify the key features of mobile application for adolescent's self-care as well as educational content axes for five component of self-care using conventional and directed content analysis respectively. From 3 sub-groups 30 participants were selected based on purposive sampling with maximum variety and sampling was performed until data saturation. Data were collected through in-depth semi-structured interviews. Participants' informed consent was obtained before the interview. The interview lasted 20-40min and MAXQDA software version 10 was used for data analysis. In this study, four criteria of acceptability, reliability, transferability, and validity proposed by Guba and Lincoln were used to evaluate and validate the data. After conducting the interviews, 789 initial codes, 12 sub-categories, and 3 categories (app view, app content architecture, app self-care content) were emerged, which reflects the key features of a mobile application and the necessary educational content. The research findings could provide a guide for future mobile application development considering the viewpoints of health professionals, content, and software experts. Addressing the features and requirements in practice could lead to designing efficient and effective mobile applications.

Photonuclear partial reaction cross sections: Systematic uncertainties and reliability

The well-known significant systematic disagreements between cross sections of partial photoneutron reactions (γ,1n) and (γ, 2n) obtained in various experiments majority of which have been carried out at Livermore (USA) and Saclay (France) were analyzed using the objective physical criteria of data reliability. It was found that experimental data for more than 50 nuclei from 51V to 209Bi in general do not meet those criteria and therefore are more or less unreliable. The experimental-theoretical method based on the Combined PhotoNuclear Reaction Model (CPNRM) was used to evaluate partial reaction cross sections that meet the reliability criteria. It was shown using the analysis in detail of differences between evaluated and experimental cross sections that the major sources of large systematic uncertainties in obtained cross sections are certain shortcomings of experimental neutron multiplicity sorting method have been used for indirect separation of partial reactions. It was shown that the newly evaluated cross sections of partial photoneutron reactions differ significantly (at least noticeably) from the ones obtained using the method of neutron multiplicity sorting but agree with experimental data obtained by alternative methods used for reliable direct separation of partial reactions. The consolidated review of many problems with partial photoneutron reaction experimental data reliability and some ways to solve ones are presented.

Personality in Alcohol and Opioid Use Disorder: A Multiphasic Personality Questionnaire Study.

This study explored the relationship between personality attributes and substance use disorder (SUD). Research has identified specific personality dimensions, such as neuroticism, psychoticism, antisocial personality traits, paranoia, and anxiety, as contributing factors on the way to the initiation, continuation, and relapse of SUD. To explore this connection, we examined the personality profiles of subjects with alcohol use disorder (AUD) and opioid use disorder (OUD). A total of 928 subjects, 320 with AUD, 490 with OUD and 118 healthy controls (HC), in the age range of 16-65 years were recruited in the study. The Clinical Profile Sheet and the Multiphasic Personality Questionnaire (MPQ) were administered to HC and patients who fulfil the diagnostic criteria for substance dependence as defined by ICD-10 (WHO-1992). We found significant differences in personality profiles between individuals with OUD and AUD. Patients with AUD scored higher than OUD on the MPQ subscales for depression, mania, paranoia, and antisocial personality traits. All subscales of the MPQ showed elevated scores in subjects with SUD compared to HC. Elevated scores on the MPQ subscales suggest that personality factors may contribute to the pattern of substance use and misuse in this cohort.

The morphological features of above-ground parts of Juniperus sabina in Central Kazakhstan

In the article the results of the study of morphological parameters of vegetative organs of Juniperus sabina growing in the vicinity of Karaganda city, Karkaraly and Ulytau Mountains, hills of Zhanaarka district were presented. The results of research are based on complexly conducted field and experimental materials, scientifically substantiated methods and modern statistical analyses evaluating the reliability criterion. It is noted that for the leaf length indicator the maximum values were for individuals from Zhanaarka district, the minimum values were for the vicinity of Karaganda city. For leaf width and annual growth value, no reliable difference was observed between individuals from different growing points. The maximum size of plants was observed in the vicinity of Karaganda city, the minimum size was observed for individuals from Zhanaarka and Ulytau districts. The obtained data are conditioned by different degree of environmental pollution and climatic conditions.

Topographic metrics for unveiling fault segmentation and tectono-geomorphic evolution with insights into the impact of inherited topography, Ulsan Fault Zone, South Korea

Abstract. Quantifying today's topography can provide insights into landscape evolution and its controls, since present topography represents a cumulative expression of past and present surface processes. The Ulsan Fault Zone (UFZ) is an active fault zone on the southeastern Korean Peninsula that was reactivated as a reverse fault around 5 Ma. The UFZ strikes NNW–SSE and dips eastward. This study investigates the relative tectonic activity along the UFZ and the landscape evolution of the hanging-wall side of the UFZ, focusing on neotectonic perturbations using 10Be-derived catchment-averaged denudation rates and bedrock incision rates, topographic metrics, and a landscape evolution model. Five geological segments were identified along the fault, based on their relative tectonic activity and fault geometry. We simulated four cases of landscape evolution to investigate the geomorphic processes and accompanying topographic changes in the study area in response to fault movement. Model results reveal that the geomorphic processes and the patterns of topographic metrics (e.g., χ anomalies) depend on inherited topography (i.e., the topography that existed prior to reverse fault reactivation of the UFZ). On the basis of this important model finding and additional topographic metrics, we interpret the tectono-geomorphic history of the study area as follows: (1) the northern part of the UFZ has been in a transient state and is in topographic and geometric disequilibrium, so this segment underwent asymmetric uplift (westward tilting) prior to reverse faulting on the UFZ around 5 Ma, and (2) its southern part was negligibly influenced by the asymmetric uplift before reverse faulting. Our study demonstrates the utility of topographic metrics as reliable criteria for resolving fault segments. Together with landscape evolution modeling, topographic metrics provide powerful tools for examining the influence of inherited topography on present topography and for the elucidation of tectono-geomorphic histories.

MANAJEMEN KURIKULUM “SEKOLAH PENGGERAK” PENDIDIKAN ANAK USIA DINI

This study aims to analyze curriculum management at Kober Andalusia Sodonghilir Tasikmalaya which is also one of the institutions selected as a School of Mover. The method used in this study is qualitative with a descriptive approach, with data collection techniques of observation, interviews, and documentation studies. The analysis techniques consist of data condensation, data presentation and drawing conclusions. Meanwhile, the data validity test is carried out with diligent observation, triangulation and audit for dependency criteria. The results of this study indicate that curriculum management at Kober Andalusia is: 1) Planning, which includes: a) making an annual program; b) making a semester program (Prosem); c) making a Learning Objective Flow (ATP); d) making a teaching module by determining Learning Achievements (CP) and Learning Objectives (TP); e) making Standard Operating Procedures (SOP); and f) making a child development program combined with the Pancasila profile independence curriculum; 2) Implementation, namely learning at Kober Andalusia using a group model that is aligned with the teaching module that has been prepared by the teacher; and 3) The evaluation in Kober Andalusia includes three things, namely: a) assessment of children with an authentic assessment approach; b) assessment of teacher performance carried out by the head of management; and c) assessment of the institution as a driving school offline and online by facilitators and available applications.

Designing the Model of Human Resources Analytics in Health System with Grounded Theory

Background: Given the necessity of attracting, retaining, and developing human capital within the health system, the process of human resources analytics in this context is of paramount importance, and it plays a significant role in evidence-based decision-making and policy formulation. Therefore, the aim of the present study was to design a model for human resources analytics in the health system. Methods: This research is practical in nature and utilized a qualitative approach based on grounded theory. In 2023, semi-structured interviews were conducted with 14 experts and managers from Kerman University of Medical Sciences, using purposive sampling until theoretical saturation was achieved. Throughout the process, interviews were continuously compared, and notes were taken during and after the interviews. The collected data from each interview were then analyzed using open, axial, and selective coding with the assistance of MaxQDA20 software. Through categorizing the open codes, axial categories were identified and in the final step, relationships among core categories were established through selective coding. Additionally, the validity and reliability of the findings were assessed and confirmed based on the four criteria of credibility, dependability, confirmability and transferability. Results: In identifying the codes and categories related to human resources analytics, a total of 370 open codes, 61 subcategories, and 24 main categories were generated. These were ultimately examined across 6 main axes, including the central phenomenon, causal conditions, contextual conditions, intervening conditions, strategies and consequences. Conclusion: It is recommended that in order to enhance and develop the human resources analytics process within the health system, attention be paid to the extracted model and its dimensions and components, particularly the identified causal conditions, contextual conditions, and strategies

White analytical chemistry evaluation of medicines quality screening devices in low- and middle-income countries field settings

Addressing the quality of circulating medicines in low- and middle-Income countries is challenging due to limited access to affordable and rapid laboratory analyses. Moreover, traditional analytical methods generate hazardous waste, posing further environmental and health risks, conflicting with several United Nations Sustainable Development Goals, such as reducing pollution and conserving ecosystems.In response to these environmental challenges, the concept of green analytical chemistry emerged promoting environmentally friendly practices through principles such as reducing chemical use, minimizing energy consumption, and managing waste. Various green metric tools have been developed to assess the environmental impact of analytical methods, but these often neglect the reliability and applicability of the methods. To address this gap, approaches like White Analytical Chemistry (WAC) have been proposed, integrating criteria for environmental safety, reliability, and cost-effectiveness. WAC's principles are categorized into red (fitness for purpose), green (environmental safety), and blue (cost-efficiency) criteria.This study aims to use the WAC approach to provide a holistic comparison of different medicines' quality screening devices, helping developing countries with high SF medicine prevalence make informed choices. Three different situations are investigated: ex-ante evaluation, ex-post evaluation of the qualitative performances and ex-post evaluation of the quantitative performances of the most used medicines’ quality screening devices in low- and middle-income countries field settings.

A Semi‐Randomized and Augmented Kaczmarz Method With Simple Random Sampling for Large‐Scale Inconsistent Linear Systems

ABSTRACTA greedy randomized augmented Kaczmarz (GRAK) method was proposed in Bai and Wu for large and sparse inconsistent linear systems. However, in each iteration of this method, one has to construct two new index sets via computing residual vector with respect to the augmented linear system. Thus, the computational overhead of this method may be large for extremely large‐scale problems. Moreover, there is no reliable stopping criterion for this method. In this work, we are interested in solving large‐scale sparse or dense inconsistent linear systems, and try to enhance the numerical performance of this method. The contributions of this work are as follows. First, we propose an accelerated GRAK method. Theoretical analysis indicates that it converges faster than the GRAK method under a very weak assumption. Second, we apply the semi‐randomized Kaczmarz method to the augmented linear system, and propose a semi‐randomized augmented Kaczmarz method with simple random sampling. In this method, there is no need to access all the information of the data matrix. The convergence of the proposed methods are established. To the best of our knowledge, there are no practical stopping criteria in all randomized Kaczmarz‐type methods till now. To fill‐in this gap, the third contribution of this work is to introduce a practical stopping criterion for Kaczmarz‐type methods, and show its rationality from a theoretical point of view. Numerical results are performed on both real‐world and synthetic data sets, which demonstrate the effectiveness of the proposed stopping criterion, and illustrate that the new methods are often superior to many state‐of‐the‐art Kaczmarz methods for large‐scale inconsistent linear systems.

Protocol for Pre-Selection of Dwarf Garden Rose Varieties

Ornamental plant breeding enables the selection of cultivars with desired features from numerous genotypes; however, this process is time-consuming and resource-demanding. Aiming to establish a pre-selection protocol that can facilitate the selection of dwarf rose varieties, the connection between anatomical and histological characteristics and the vegetative growth of rose cultivars was examined. To assess the adaptive potential of the studied cultivars, intra-annual cambial dynamics were explored relative to the observed meteorological fluctuations during the growing season. The investigation included six garden rose cultivars from the ‘Reka’ and ‘Pixie’ collections, bred under semi-arid open-field conditions in Serbia. Plant height ranged from 20 to 68 cm, with differing growth habits and types. Vegetative growth was significantly correlated with the xylem/phloem ratio, the proportion of total vessel area relative to cross-sectional and xylem areas, vessel-related features, and porosity (correlation coefficients up to 0.78). Regeneration via cambial activity and the formation of false rings were observed in five of the six cultivars studied, with meteorological analysis suggesting that precipitation and temperature triggered cambial reactivation. This approach effectively targets key parameters in the selection of dwarf and climate-resilient rose cultivars, facilitating the development of reliable pre-selection criteria.

Specifics of Mental Burnout Manifestation in Rural School Teachers

Introduction. The scientific relevance and social significance of the mental burnout are determined by the maladaptive nature of its manifestations, which have a negative impact on the effectiveness of the professional activity of specialists. At the same time in the scientific field there is a deficit of research revealing the mechanisms of influence of specific conditions of pedagogical activity realization on its efficiency and presenting the consequences of this influence. Objective. To study mental burnout in school teachers working in rural areas. Materials and Methods. The study participants were 184 teachers from schools in the districts of the city of Zabaikalski Krai and Chita. In the process of forming the sample, the questionnaire survey was used, based on the results of which two groups were formed: the first group included 56 teachers from rural schools, and the second group consisted of 58 teachers from city schools. At the stage of empirical research, we used the method of psychodiagnostic testing, which included the method of professional burnout by K. Maslach and S. Jackson in adaptation of N. E. Vodopyanova and V. V. Boyko’s method of diagnosing emotional burnout. The non-parametric criterion of reliability of differences U Mann-Whitney was used in processing the results of the study. Results. It was found that the frequency of occurrence and the degree of severity of mental burnout manifestations are lower in rural school teachers compared to urban school teachers. The dynamics of symptoms in this group is characterized by earlier stages of development and the emerging nature of symptoms, and there is a qualitative peculiarity of the general structure of mental burnout, manifested in the dominance of certain symptoms and the nature of their completeness. Discussion. The analysis of the empirical research results allows us to speak about the peculiarities of mental burnout concerning its frequency of occurrence, degree of expression, and qualitative uniqueness in rural and urban school teachers. The results of the study indicate higher adaptive capabilities of rural school teachers in relation to the development of mental burnout and allow us to outline an effective direction of appropriate preventive work.

Intratumoral calcification on CT assists in distinguishing benign and malignant upper abdomen neoplasm.

The significance of calcification and microcalcification in diagnosing malignant tumors is well established, but their role in the upper abdomen is less explored in routine radiology. To assess the effectiveness of computed tomography (CT) imaging in detecting intratumoral calcification within upper abdominal tumors. This study retrospectively enrolled patients with upper abdominal tumors featuring intratumoral calcifications who underwent plain and contrast-enhanced CT scans between January 2016 and December 2019. We examined the imaging characteristics of calcifications, including location, edges, shape, CT values, and association with necrosis. The diagnostic utility of calcification for distinguishing benign and malignant tumors was assessed using receiver operating characteristic curves. Univariate and multivariate logistic regression analyses were conducted to identify independent predictive factors for the diagnosis of malignancy characterized by intratumoral calcification. This study included 153 patients (median age 49 ± 21years; 83 men) with pathologically confirmed tumors of the upper abdomen (including liver, pancreas, and gastrointestinal tract) with intratumoral calcifications. Significant differences in CT values between benign and malignant tumors were observed (P < .001), with high diagnostic accuracy of calcification in CT imaging (receiver operating characteristic area = 0.884, sensitivity = 0.815, specificity = 0.976). The characteristics of calcification, including its edge and shape, were significantly correlated with tumor differentiation (P < .01). Multivariate logistic regression analysis revealed that the presence of adjacent necrosis around intracalcification is an independent predictor of malignancy (odds ratio = 5.48; 95% confidence interval: 1.55, 19.41; P = .008). Intratumoral calcification in CT imaging is a key marker for distinguishing between benign and malignant epigastric tumors, offering high specificity. Key message • What is already known on this topic - Intratumoral calcification, as a highly sensitive radiological marker, has shown potential in differentiating between benign and malignant tumors in thyroid and breast cancers. However, its discriminatory role in upper abdominal tumors is often overlooked. Therefore, assessing the diagnostic accuracy of intratumoral calcification on CT scans is crucial for improving diagnostic efficiency and avoiding unnecessary examinations. • What this study adds - Intratumoral calcification on CT exhibits high specificity in differentiating between benign and malignant upper abdominal tumors, providing a simple and reliable criterion for improving diagnostic accuracy. • How this study might affect research, practice or policy - This study highlights the significance of intratumoral calcification characteristics observed on CT in determining whether upper abdominal tumors are benign or malignant. The findings could pave the way for the development of a CT-based calcification scoring system, which would facilitate rapid and accurate diagnostics in clinical practice, thereby optimizing treatment strategies and enhancing patient prognosis.

Emphasizing on the envelope spectra of hydraulic turbomachinery vibration response towards cavitation diagnosis

Cavitation attracts the interest of engineers who target the better understanding of its complex physics and the development of efficient detection tools. This research explores the effectiveness of vibration-based indicators in the prompt and effective diagnosis of cavitation initiating in the rotating flow fields of turbomachinery. The indicators are derived from the envelope spectra estimated with the use of Hilbert Transform, Spectral Kurtosis and Cyclic Spectral Correlation algorithms and data acquired from two semi-open impellers. By utilizing a transparent casing, the onset of cavitation can be observed, enabling the establishment of reliable criteria for evaluating the new indicators. Also, their applicability is assessed across a wide range of flow-rate and suction pressure conditions and in two different geometries. The results demonstrate the consistent ability of the indicators to exploit the high frequency carrier information related with the resonances excited from bubble implosions, to promptly and efficiently detect the phenomenon.

Column-to-beam flexural strength ratio for rigorous strong-column–weak-beam design for steel–concrete composite frames

This study addresses the limited research and unclear principles surrounding the strong-column–weak-beam (S-C–W-B) criterion in steel–concrete composite frames, a critical aspect of structural engineering. Despite its widespread application in steel frames, the S-C–W-B criterion's adaptation to steel-concrete composite frames remains underexplored. The research aims to clarify and establish consistent guidelines for preventing column hinge formation at the joint, a key concern in S-C–W-B design. Beginning by analysing the definitions of ultimate flexural strength and flexural yielding strength of a section, essential components of the S-C–W-B criterion, the minimum column-to-beam flexural strength ratio (ηc, min) required for a robust S-C–W-B design was deduced. The methodology involves a novel parametric analysis using a fibre beam–column model. This model is used to derive a closed-form equation for ηc, min, which was then verified through time-history analysis using the finite-element software MSC.Marc. The findings indicate that the established ηc, min provides a stringent, nonetheless, reliable criterion for S-C–W-B design in steel-concrete composite frames. This research not only bridges a significant gap in existing structural engineering knowledge but also proposes a practical approach for safer and more efficient design in real-world applications.

Ranking and Challenges of Supply Chain Companies Using MCDM Methodology

Background: Supply chain companies have merits and demerits regarding operational and economic transactional policies. The effectiveness of supply chain companies corresponds to a cumulative score on a multi-criteria and perspectives-based evaluation. In this paper, we analyse the performances and challenges of several celebrated e-commerce companies to perceive their overall impression of supply chain management. Method: A mathematical model is framed as a multi-criteria decision-making (MCDM) problem with challenges as criteria and companies as alternatives. The criteria importance through inter-criteria correlation (CRITIC) method is used in this paper to adjust weights representing the available data. The ranking of e-commerce companies is evaluated using multi-objective optimization by ratio analysis plus the full multiplicative form (MULTIMOORA) method. Results: This model investigates the most dependent criteria and sub-criteria for the adaptation challenges of supply chain companies (SCCs). Furthermore, the SCCs are prioritized based on various conflicting criteria. Conclusion: Various challenges of SCCs, like logistics constraints, disruptions in supply chains, issues with technology, ethical sourcing and inconsistency between the products’ availability and the pace of consumption, are considered and analysed. We amassed the difficulties as criteria and sub-criteria in a numerical process using the MCDM approach. Additionally, the sensitivity and comparative of several optimal phenomena are analysed based on distinctive combinations of challenges in the ranking arena.

High level of RNA HAS2-AS1 in the buffy coat of a patient blood sample is a more informative prognostic marker of COVID-19 clinical course compared to the level of hyaluronic acid in plasma

Numerous studies have confirmed the association of COVID-19 clinical course with the blood levels of hyaluronic acid and long non-coding RNA HAS2-AS1 as a positive regulator of hyaluronan synthase. We aimed to estimate both the level of hyaluronic acid in plasma and the level of RNA HAS2-AS1 in leukocytes (buffy coat) from the same blood sample at the time of patient admission to the hospital and to analyze the specificity of these indicators as biomarkers of COVID-19 severity. The study involved 78 patients with confirmed COVID-19 who underwent treatment between 2020 and 2021 at the Kyiv City Clinical Hospital N 4. The patients were divided into three groups based on the severity of the disease and classified as mild (n = 12), moderate (n = 36), and severe (n = 30). The level of hyaluronic acid in plasma was determined using the Hyaluronic Acid ELISA kit “Abcam” (USA). The buffy coat was isolated by centrifugation of the blood stabilized with EDTA-K and further aspiration of the leukocyte “cloud”. The expression level of HAS2-AS1 in buffy coat leukocytes was estimated using reverse transcription and real-time PCR. According to the obtained data, the level of hyaluronic acid in the plasma of patients with moderate and severe illness was 1.5 and 2.2 times higher compared to the mild illness group, respectively. Meanwhile, the level of RNA HAS2-AS1 in blood lymphocytes (buffy coat) of patient with moderate and severe illness was increased by 7.7 and 22.6 times compared to patients with mild illness. The results of our study demonstrate that, unlike the level of hyaluronic acid in plasma, the level of HAS2-AS1 in a buffy coat is a more reliable prognostic criterion for severe COVID-19 and allows distinguishing patients with varying clinical severity during hospitalization. Keywords: buffy coat, COVID-19, hyaluronic acid, leukocytes, plasma, RNA HAS2-AS1