Real-time Testing Research Articles

Abstract A015: Validation of a cancer early-detection assay on liquid biopsies using DNA methylation

Abstract There is growing awareness of the benefits of early cancer detection. Early intervention can improve patient outcomes, leading to a reduction in the health care burden associated with cancer, and can also provide critical information for personalized treatments. Liquid biopsies enable quick, easy, non-invasive, and real-time testing that is suitable for screening and increases accessibility, particularly in developing countries. The use of epigenomic techniques, such as DNA methylation profiling, enhances the depth and breadth of screening beyond what standard genetic analysis can offer. Universal Diagnostics (UDx), a respected pioneer in the field of early cancer detection, has partnered with Hologic Diagenode, which brings 20 years of experience in epigenomics, to develop a customized early detection workflow for colorectal cancer (CRC). This analysis relies on DNA methylation biomarkers identified within cell-free DNA (cfDNA) from plasma. The UDx assay provides not only easy screening but also a more comprehensive analysis than that possible with conventional markers. Genome-wide methylation profiles from healthy individuals and cancer patients were used to identify biomarkers. These biomarker candidates were then validated for performance; the results of which are presented in this poster. Citation Format: Ekaterina Gracheva. Validation of a cancer early-detection assay on liquid biopsies using DNA methylation [abstract]. In: Proceedings of the AACR Special Conference: Liquid Biopsy: From Discovery to Clinical Implementation; 2024 Nov 13-16; San Diego, CA. Philadelphia (PA): AACR; Clin Cancer Res 2024;30(21_Suppl):Abstract nr A015.

Normalized acceleration based online tuning of variable-order fractional derivatives: a case study on quadcopter position control

In recent years, the use of Variable-Order (VO) fractional operators in control system design has been gaining popularity due to their adaptive nature, enabled by their dynamically adjustable fractional derivative and integral orders. This paper presents an online tuning method for adjusting the VO fractional derivatives in fractional controllers. The method is formulated to strategically accelerate or decelerate the system response's rate of change to enhance reference tracking and disturbance rejection performance while preserving closed-loop stability. It uses the normalised acceleration of the system response, a metric that provides insights into the ‘fastness’ or ‘slowness’ of the system response. The effectiveness of the proposed online tuning method is validated through a case study on quadcopter position control. Our research includes both simulation and real-time testing of Variable-Order Fractional PD (VOFPD) controllers, which utilise our online tuning method to adjust their fractional derivatives in real-time. Stability analysis via the D-decomposition method confirms that the quadcopter's closed-loop stability is preserved. Comparative results show significant improvements in reference tracking and disturbance rejection in terms of time-domain criteria.

Legionella pneumophila—Klebsiella pneumoniae Pulmonary Coinfection in a COVID-19 Patient: Case Report

Background. Pulmonary superinfections increase the mortality risk among COVID-19 patients, highlighting the need for enhanced understanding to enable early and accurate diagnosis. Methods. We present the case of a patient, a 76-year-old man, hospitalized for a severe form of COVID-19, with a ground-glass pneumonia, involving 40–45% of lung surfaces. Results. In evolution, the clinical condition worsened, presenting leukocytosis with neutrophilia, imaging towards resorption, and computer tomography images showing the appearance of pulmonary condensations in the right lower lobe, the posterior portion of the left lower lobe and pleural collections. Carbapenemase-producing Klebsiella pneumoniae was isolated from the tracheal aspirate, and the real-time polymerase chain reaction test was positive for Klebsiella pneumoniae and Legionella pneumophila. The investigations that were carried out allowed us to establish the coinfections as a probable case of Legionnaire’s disease and a ventilator-associated pneumonia with Klebsiella pneumoniae. Conclusions. The case analysis revealed that rare pneumonias may remain undiagnosed, and coinfections may be conditioned by pathophysiological factors or components of COVID-19 critical form treatment. Enhanced understanding of these aspects in clinical practice may contribute to reducing mortality risk in COVID-19 patients.

Respiratory viruses associated with severe acute respiratory infection in children aged

With the increased availability of licensed vaccines for respiratory viruses such as severe acute respiratory syndrome coronavirus 2, respiratory syncytial virus (RSV), and influenza virus, a better understanding of the viral aetiology of severe acute respiratory infections (SARI) among children could help in optimising the use of these vaccines. We conducted a study among children aged <5 years hospitalised with SARI at a tertiary care children's hospital in north India and tested for common respiratory pathogens. We randomly enrolled eligible SARI cases aged <5 years from August 2013 to July 2015. SARI cases were defined as either <7-day history of fever with cough or in children aged eight days to three months, a physician diagnosis of acute lower respiratory infection requiring hospitalisation. We also enrolled an age-group matched control without any acute illness in a 2:1 ratio from the outpatient clinic within 24 hours of case enrolment. Nasopharyngeal and/or oropharyngeal swabs were collected and tested using TaqMan Array Cards, a real-time reverse transcription polymerase chain reaction-based multi-pathogen testing platform for selected respiratory viruses among the enrolled cases and controls. We compared the prevalence of each pathogen among cases and controls using the χ2 (χ2) or Fisher exact test (P < 0.05). We used logistic regression to estimate adjusted odds ratios (aORs) which were then used to calculate aetiologic fractions (EFs). We enrolled 840 cases and 419 outpatient controls. Almost half of the individuals in the whole sample were aged <6 months (n = 521, 41.4%). Females made up 33.7% of cases and 37.2% of controls. Viral detections were more common among cases (69%, 95% confidence interval (CI) = 66, 73) compared to controls (33%; 95% CI = 29, 38) (P < 0.01). RSV (n = 257, 31%; 95% CI = 28, 34%) was the most common virus detected among cases. Influenza A was detected among 24 (3%; 95% CI = 2, 4%), and influenza B among 5 (1%; 95% CI = 0, 1%) cases. The association between the virus and SARI was strongest for RSV (aOR = 23; 95% CI = 12, 47; EF = 96%). Antivirals were administered to 1% of SARI cases while 78% received antibiotics. Using a multi-pathogen molecular detection method, we detected respiratory viruses among more than two-thirds of children aged <5 years admitted with SARI in the Delhi tertiary care children's hospital. The guidelines for preventing and managing SARI cases among children could be optimised further with the improved availability of antivirals and vaccines.

Investigation of the degradation behaviour of poly-L-lactic acid braided stents under real-time and accelerated conditions

Degradation tests are a key step in the development of a bioresorbable stent. The present study focused on the degradation of bioresorbable stents made from PLLA filaments, and examined the variation of the physical, thermal, and mechanical properties of the material and the devices under both real-time and accelerated degradation conditions. Results showed that the undegraded filaments were highly crystalline and composed by both α and α′ crystalline phases, induced by both the melt spinning and heat treatment processes. The latter was shown to have an important influence on the further formation of α crystalline phase and therefore crystalline structure perfectioning. Real-time degradation tests showed that the devices maintained structural stability for up to a year, meeting the required 6-month degradation period for vascular stents. Degradation was shown to primarily affect the crystalline regions, and to cause a gradual loss of material ductility before any mass loss or decrease in crystallinity. In turn, a constant decrease of molecular weight was observed, with stent failure occurring around day 389 due to a drop in molecular weight below 10,000 g/mol. Accelerated degradation tests mirrored real-time results until mass loss began. Subsequently a slower molecular weight decrease was observed, with an increase and subsequent decrease of material crystallinity. The consistency of the data obtained between real-time and accelerated degradation before mass loss confirmed the possibility to gain insights into real-time degradation through an accelerated protocol. However, attention must be paid to the initial molecular weight of the material, which has been shown to highly influence the acceleration rate. This study provides a wide range of experimental data both on the real-time and thermally accelerated degradation behaviour of PLLA braided stents that can be used as benchmark for further studies in the field.

Fatal borealpox in an immunosuppressed patient treated with antivirals and vaccinia immunoglobulin - Alaska, 2023.

Borealpox virus (BRPV, formerly known as Alaskapox virus) is a zoonotic member of the Orthopoxvirus genus first identified in a person in 2015. In the six patients with infection previously observed BRPV involved mild, self-limiting illness. We report the first fatal BRPV infection in an immunosuppressed patient. A man aged 69 years from Alaska's Kenai Peninsula was receiving anti-CD20 therapy for chronic lymphocytic leukemia. He presented to care for a tender, red papule in his right axilla with increasing induration and pain. The patient failed to respond to multiple prescribed antibiotic regimens and was hospitalized 65 days postsymptom onset for progression of presumed infectious cellulitis. BRPV was eventually detected through orthopoxvirus real-time polymerase chain reaction testing of mucosal swabs. He received combination antiviral therapy, including 21 days of intravenous tecovirimat, intravenous vaccinia immunoglobulin, and oral brincidofovir. Serial serology was conducted on specimens obtained posttreatment initiation. The patient's condition initially improved with plaque recession, reduced erythema, and epithelization around the axillary lesion beginning one-week post-therapy. He later exhibited delayed wound healing, malnutrition, acute renal failure, and respiratory failure. He died 138 days postsymptom onset. Serologic testing revealed no evidence the patient generated a humoral immune response. No secondary cases were detected. This report demonstrates that BRPV can cause overwhelming disseminated infection in certain immunocompromised patients. Based on the patient's initial response, early BRPV identification and antiviral therapies might have been beneficial. These therapies, in combination with optimized immune function, should be considered for patients at risk for manifestations of BRPV.

A Real-Time End-to-End Framework with a Stacked Model Using Ultrasound Video for Cardiac Septal Defect Decision-Making

Echocardiography is the gold standard for the comprehensive diagnosis of cardiac septal defects (CSDs). Currently, echocardiography diagnosis is primarily based on expert observation, which is laborious and time-consuming. With digitization, deep learning (DL) can be used to improve the efficiency of the diagnosis. This study presents a real-time end-to-end framework tailored for pediatric ultrasound video analysis for CSD decision-making. The framework employs an advanced real-time architecture based on You Only Look Once (Yolo) techniques for CSD decision-making with high accuracy. Leveraging the state of the art with the Yolov8l (large) architecture, the proposed model achieves a robust performance in real-time processes. It can be observed that the experiment yielded a mean average precision (mAP) exceeding 89%, indicating the framework’s effectiveness in accurately diagnosing CSDs from ultrasound (US) videos. The Yolov8l model exhibits precise performance in the real-time testing of pediatric patients from Mohammad Hoesin General Hospital in Palembang, Indonesia. Based on the results of the proposed model using 222 US videos, it exhibits 95.86% accuracy, 96.82% sensitivity, and 98.74% specificity. During real-time testing in the hospital, the model exhibits a 97.17% accuracy, 95.80% sensitivity, and 98.15% specificity; only 3 out of the 53 US videos in the real-time process were diagnosed incorrectly. This comprehensive approach holds promise for enhancing clinical decision-making and improving patient outcomes in pediatric cardiology.

A Two-Stage Online Inertia Estimation: Identification of Primary Frequency Control Parameters and Regression-Based Inertia Tracking

In recent years, power system inertia has significantly decreased and has become more variable due to the massive integration of converter-interfaced renewable energy sources. Real-time awareness of the inertia present in the system is essential for operators to take preventive actions and mitigate potential instability risks. Online inertia tracking methods based on field data have been used to accomplish this task. However, most existing methods are disturbance-based and few have proven effective under normal operating conditions. In addition, some methods require prior knowledge of the primary frequency control dynamics, which are usually unknown, especially in presence of power converters. To overcome these limitations, this paper proposes a two-stage online inertia estimation method. The first stage estimates the primary frequency control parameters. The second stage uses a regression-based approach to track the inertia in real time. A sensitivity analysis of the parameters of the regression model is used to determine the conditions under which the primary frequency control parameters must be updated. The performance of the method is validated using the IEEE 39-bus benchmark network under normal operating conditions and under the occurrence of large disturbances. The algorithm is also tested in the presence of converter-interfaced sources controlled in both grid-following and grid-forming modes. Real-time tests validate the applicability of the method.

Real Time Recognition of Face Covered with Facemask using CNN for Application in Classroom Attendance System

Because each person has a different face identity, facial recognition relies on the distinctness of individual facial traits. However, the recent Covid-19 pandemic has substantially altered daily living, required the usage of facemasks while walking outside, including for educational activities such as attending lectures at schools and universities. Facemasks' widespread use presents a significant problem to facial recognition systems since they obscure a significant area of the face, limiting the availability of important facial clues. In response to this critical issue, this project aims to create a Convolutional Neural Network (CNN) architecture suitable for use in a classroom attendance system. The research process begins with the creation of a large training dataset that includes five different students with four different facial circumstances, including facemask covering. The best CNN design is determined through painstaking testing to enhance accuracy during both the training and validation phases. The empirical findings demonstrated that the finalized CNN architecture has a remarkable validation accuracy of up to 96.2%. The trained system demonstrated outstanding precision in recognizing persons during real-time recognition tests. This experiment highlights the CNN's ability to recognize students with high accuracy even while they are wearing facemasks, indicating its potential in solving the issues provided by the prevailing public health measures.

HIV DNA Levels in Persons Who Acquired HIV in the Setting of Long-Acting Cabotegravir for HIV Prevention: Analysis of Cases from HPTN 083 and 084.

We evaluated HIV DNA levels in individuals who received long-acting cabotegravir (CAB-LA) or tenofovir disoproxil fumarate/emtricitabine (TDF/FTC) pre-exposure prophylaxis in the HPTN 083 and 084 trials and had HIV DNA testing performed to help determine HIV status. HIV DNA testing was performed using peripheral blood mononuclear cell (PBMC) samples collected after a reactive HIV test was obtained at a study site. DNA was quantified using droplet digital PCR (lower limit of detection [LLOD]: 4.09 copies/million PBMCs). Final HIV status and the timing of the first HIV-positive visit were determined by an independent adjudication committee based on HIV test results from real-time site testing and retrospective testing at a centralized laboratory. HIV DNA testing was performed for 133 participants [21 HIV-positive (7 CAB-LA arm, 14 TDF/FTC arm) and 112 HIV-negative; 1-6 tests/person]. For persons with HIV, the time between the first HIV-positive visit and collection of the first sample for DNA testing was a median of 81 days for those receiving CAB-LA (range 41-246) and 11 days for those receiving TDF/FTC (range 3-127). Four (57.1%) of the seven CAB-LA cases with infection had a low initial DNA result [three detected <LLOD; one near the LLOD (4.2 copies/106 PBMCs); in 2/4 cases, the DNA level was still <10 copies/106 PBMCs ≥40 weeks after the first HIV-positive visit. In contrast, only 3/14 (21.4%) of the TDF/FTC cases had a low or negative initial DNA test result (one not detected; two <10 copies/106 PBMCs). In this study, the time between the first HIV-positive visit and the first DNA test was longer in the CAB-LA cases than the TDF/FTC cases. Despite this difference, low or undetectable DNA levels were more frequently observed in the CAB-LA cases. This suggests that CAB-LA exposure may limit seeding of the HIV reservoir in early infection.

Influence of Temperature and Bedding Planes on the Mode I Fracture Toughness and Fracture Energy of Oil Shale Under Real-Time High-Temperature Conditions

The anisotropic fracture characteristics of oil shale are crucial in determining reservoir modification parameters and pyrolysis efficiency during in situ oil shale pyrolysis. Therefore, understanding the mechanisms through which temperature and bedding planes influence the fracture behavior of oil shale is vital for advancing the industrialization of in situ pyrolysis technology. In this study, scanning electron microscopy (SEM), CT scanning, and a real-time high-temperature rock fracture toughness testing system were utilized to investigate the spatiotemporal evolution of pores and fractures in oil shale across a temperature range of 20–600 °C, as well as the corresponding evolution of fracture behavior. The results revealed the following: (1) At ambient temperature, oil shale primarily contains inorganic pores and fractures, with sizes ranging from 50 to 140 nm. In the low-temperature range (20–200 °C), heating primarily causes the inward closure of inorganic pores and the expansion of inorganic fractures along bedding planes. In the medium-temperature range (200–400 °C), organic pores and fractures begin to form at around 300 °C, and after 400 °C, the number of organic fractures increases significantly, predominantly along bedding planes. In the high-temperature range (400–600 °C), the number, size, and connectivity of matrix pores and fractures increase markedly with rising temperature, and clay minerals exhibit adhesion, forming vesicle-like structures. (2) At room temperature, fracture toughness is highest in the Arrester direction (KIC-Arr), followed by the Divider direction (KIC-Div), and lowest in the Short-Transverse direction (KIC-Shor). As the temperature increases from 20 °C to 600 °C, both KIC-Arr and KIC-Div initially decrease before increasing, reaching their minimum values at 400 °C and 500 °C, respectively, while KIC-Shor decreases continuously as the temperature increases. (3) The energy required for prefabricated cracks to propagate to failure in all three directions reaches a minimum at 100 °C. Beyond 100 °C, the absorbed energy for crack propagation along the Divider and Short-Transverse directions continues to increase, whereas for cracks propagating in the Arrester direction, the absorbed energy exhibits a ‘W-shaped’ pattern, with troughs at 100 °C and 400 °C. These findings provide essential data for reservoir modification during in situ oil shale pyrolysis.

RNA-seq analysis of mitochondria-related genes regulated by AMPK in the human trophoblast cell line BeWo.

How AMP activated protein kinase (AMPK) signaling regulates mitochondrial functions and mitophagy in human trophoblast cells remains unclear. This study was designed to investigate potential players mediating the regulation of AMPK on mitochondrial functions and mitophagy by next generation RNA-seq. We compared ATP production in protein kinase AMP-activated catalytic subunit alpha 1/2 (PRKAA1/2) knockdown (AKD) and control BeWo cells using the Seahorse real-time ATP rate test, then analyzed gene expression profiling by RNA-seq. Differentially expressed genes (DEG) were examined by Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment. Then protein-protein interactions (PPI) among mitochondria related genes were further analyzed using Metascape and Ingenuity Pathway Analysis (IPA) software. Both mitochondrial and glycolytic ATP production in AKD cells were lower than in the control BeWo cells (CT), with a greater reduction of mitochondrial ATP production. A total of 1092 DEGs were identified, with 405 upregulated and 687 downregulated. GO analysis identified 60 genes associated with the term 'mitochondrion' in the cellular component domain. PPI analysis identified three clusters of mitochondria related genes, including aldo-keto reductase family 1 member B10 and B15 (AKR1B10, AKR1B15), alanyl-tRNA synthetase 1 (AARS1), mitochondrial ribosomal protein S6 (MRPS6), mitochondrial calcium uniporter dominant negative subunit beta (MCUB) and dihydrolipoamide branched chain transacylase E2 (DBT). In summary, this study identified multiple mitochondria related genes regulated by AMPK in BeWo cells, and among them, three clusters of genes may potentially contribute to altered mitochondrial functions in response to reduced AMPK signaling.

Real-Time Analysis and Digital Twin Modeling for CFD-Based Air Valve Control During Filling Procedures

Air exchange in pressurized water pipelines is an essential but complex aspect of pipeline modeling and operation. Implementing effective air management strategies can yield numerous benefits, enhancing the system’s energy efficiency, reliability, and safety. This paper comprehensively evaluates an irregular profile pipeline filling procedure involving air-release through an air valve. The analysis includes real-time data tests and numerical simulations using Computational Fluid Dynamics (CFD). A Digital Twin model was proposed and applied to filling maneuvers in water installations. In particular, this research considers an often-overlooked aspect, such as filling a pipe with an irregular profile rather than a simple straight pipe. CFD simulations have proven to capture the main features of the transient event, which are suitable for tracking the air-water interface, the unsteady water flow, and the evolution of the trapped air pocket. Thus, they provide thorough and reliable information for real-time operational processes in the industry, focusing on the filling pressure and geometry of the air-valve hydraulic system. Additionally, this study provides details regarding the application of an efficient Digital Twin CFD approach, demonstrating its feasibility in optimizing the filling procedure in pipes with irregular profiles.

A New Real-Time PCR Test (Flora Select™) and Nugent Score for the Diagnosis of Bacterial Vaginosis During Pregnancy.

This prospective cohort study aimed to evaluate the performance of Flora select™ (FS), a newly developed real-time PCR test, for the assessment of the vaginal microbiome during early pregnancy. Five hundred and fifty-six pregnant women underwent examinations of FS, Nugent score-a Gram-staining scoring system for the diagnosis of bacterial vaginosis (BV)-and conventional bacterial culture between 8 weeks and 12 gestational weeks. Nugent scores of 0-3, 4-6, and ≥7 were found in 469 (84.2%), 41 (7.4%), and 47 (8.5%) of the women, respectively. Relative dominance rates of Lactobacillus species of high (≥80% medium (50%≤, <80%), and low (0.1≤, <50%), and no detection (<0.1%) were 63.0%, 8.8%, 17.1%, and 11.2%, respectively. Gardnerella, Prevotella, Atopobium, Streptococcus, Ureaplasma, and Mycoplasma species were detected in 23.9%, 17.6%, 17.1%, 7.0%, 23.0%, and 4.9% of the women, respectively. Gardnerella species were detected in all women with Nugent scores ≥7 and Ureaplasma were detected in 40.4% of them. BV-associated bacterial species were also detected in 70.7% of women with Nugent scores of 4-6. Gardnerella, Prevotella, Atopobium, Streptococcus, Ureaplasma, and Mycoplasma species were highly prevalent in women with Nugent scores ≥4 or Lactobacillus species <50%. FS detected Gardnerella, Prevotella, and Atopobium species more effectively than conventional bacterial culture. FS could determine relative dominance rates of Lactobacillus species in the vaginal microbiome, and simultaneously detect four kinds of BV-associated bacteria, Ureaplasma and Mycoplasma species. Therefore, FS may be clinically useful for the screening of the vaginal microbiome during pregnancy to prevent preterm birth and for the assessment of the vaginal microbiome after BV treatments.

Serological and molecular analysis of Leishmania infection in a recent outbreak of visceral leishmaniasis in South Omo Zone, Ethiopia.

Ethiopia has a high burden of visceral leishmaniasis. Recently, there was a significant increase in cases in the South Omo Zone. This study aims to assess the prevalence of Leishmania donovani infection and its associated factors. A household-based cross-sectional study was carried out in January 2023 in the South Omo Zone in Ethiopia. Dried blood spot samples were collected from 382 randomly selected study participants. Direct agglutination test (DAT) and kinetoplast DNA real-time PCR tests were performed to detect L. donovani infection. Participants' sociodemographic, clinical and risk factors for L. donovani infection data were collected using questionnaires. Bivariate and multivariate logistic regressions were used to analyze the data. Febrile cases were checked for malaria with a multiplex PCR assay. Overall prevalence of L. donovani infection among the sampled population was 32.5% (n=124), of which 41.1% (n=51) was detected by PCR, 33.9% (n=42) by DAT and 25.0% (n=31) by both tests. The majority of the positives were from the Logira (28.2%; n=35) and Dilbayne (29.0%; n=36) villages. Participants residing in Logira (adjusted OR [AOR]: 5.80; 95% CI 1.85 to 18.15) and Dilbayne (AOR: 3.38; 95% CI 1.15 to 9.96) villages and owning cows (AOR: 2.31; 95% CI 1.03 to 5.15) showed an association with Leishmania infection. Plasmodium falciparum was detected in 3.4% (n=2) of 59 febrile participants. The prevalence of L. donovani infection in the South Omo Zone is high. Further research on the role of cows in the transmission cycle is needed to design the best strategy to control Leishmania infection in the South Omo Zone. Such interventions should focus on the Logira and Dilbayne villages, where most of the infections were identified.

Molecular spectral line data preprocessing container load grouping prediction algorithm based on EMD-LSTM

Unbalanced allocation of container resources in cluster environments is an urgent problem to be solved. Aiming at container load prediction and resource allocation strategy, this paper designs an astronomical data processing container load grouping prediction algorithm based on empirical mode decomposition-long short-term memory network, and proposes an adaptive recommendation value generation algorithm based on predicted load information, which can automatically allocate container computing resources according to the degree of load fluctuation. The load prediction accuracy is verified using simulated data and real astronomical observation data. The experimental results show that the algorithm proposed in this paper has higher prediction accuracy than the triple index method and the single long short-term memory network model. In the real-time preprocessing test of astronomical data, the recommendation value generation algorithm proposed in this paper can effectively improve the utilization efficiency of computing resources compared with the default strategy.

The effectiveness of liver function tests in the prediction of mortality in patients with COVID-19.

To evaluate the impact of liver function test abnormalities on mortality in critically ill coronavirus disease- 2019 patients. The single-centre, retrospective study was conducted at the Department of Anaesthesiology and Reanimation, Mersin City Training and Research Hospital, Turkiye, and comprised data from March 2020 to January 2022 of patients with positive real-time reverse transcription polymerase chain reaction test on nasopharyngeal swab sample for coronavirus disease-2019. Comorbidities, demographic data, admission to and discharge from the intensive care unit, Acute Physiology and Chronic Health Evaluation II scores, complete blood count on the first and second day of hospitalisation, coagulation parameters, biochemical analysis, 7-day, 28-day and total mortality of the patients in the intensive care unit were recorded. The patients were then divided into groups, with Group 1 having patients with normal liver enzymes, Group 2 having patients with abnormal liver enzymes, and Group 3 having patients with liver damage. Data was analysed using SPSS 20. Of the 940 subjects, 587(62.4) were males and 353(37.6) were females. The overall mean age of the patients was 67.11±16.65 years. There were 395(42%) patients in Group 1, 534(56.8%) in Group 2 and 11(1.2%) in Group 3. Gamma-glutamyl transferase-1s, aspartate aminotransferase-2nd and albumin-2nd were significant predictors of mortality (p<0.05). High gamma-glutamyl transferase, aspartate aminotransferase and low albumin levels in critically ill coronavirus disease-2019 patients could be considered indicators of high mortality rate.

Dynamic Wireless Charging of Electric Vehicles Using PV Units in Highways

Transitioning from petrol or gas vehicles to electric vehicles (EVs) poses significant challenges in reducing emissions, lowering operational costs, and improving energy storage. Wireless charging EVs offer promising solutions to wired charging limitations such as restricted travel range and lengthy charging times. This paper presents a comprehensive approach to address the challenges of wireless power transfer (WPT) for EVs by optimizing coupling frequency and coil design to enhance efficiency while minimizing electromagnetic interference (EMI) and heat generation. A novel coil design and adaptive hardware are proposed to improve power transfer efficiency (PTE) by defining the optimal magnetic resonant coupling WPT and mitigating coil misalignment, which is considered a significant barrier to the widespread adoption of WPT for EVs. A new methodology for designing and arranging roadside lanes and facilities for dynamic wireless charging (DWC) of EVs is introduced. This includes the optimization of transmitter coils (TCs), receiving coils (RCs), compensation circuits, and high-frequency inverters/converters using the partial differential equation toolbox (pdetool). The integration of wireless charging systems with smart grid technology is explored to enhance energy distribution and reduce peak load issues. The paper proposes a DWC system with multiple segmented transmitters integrated with adaptive renewable photovoltaic (PV) units and a battery system using the utility main grid as a backup. The design process includes the determination of the required PV array capacity, station battery sizing, and inverters/converters to ensure maximum power point tracking (MPPT). To validate the proposed system, it was tested in two scenarios: charging a single EV at different speeds and simultaneously charging two EVs over a 1 km stretch with a 50 kW system, achieving a total range of 500 km. Experimental validation was performed through real-time simulation and hardware tests using an OPAL-RT platform, demonstrating a power transfer efficiency of 90.7%, thus confirming the scalability and feasibility of the system for future EV infrastructure.

Evaluation of wind-induced response of high-rise structure with TMD system by real-time hybrid simulation test with motor-driven shaking table

Due to the difficulty in constructing the small-scaled model of tuned mass damper (TMD) system to meet the requirement of dynamic similarity law, it is hard to evaluate the vibration control effect of passive TMD system on the wind-induced response of high-rise structure by wind tunnel test. The Real-Time Hybrid Simulation (RTHS) test could provide a suitable solution to this problem by increasing the size of the scaled TMD model to overcome the limitation in dynamic similarity law. A RTHS test system with a linear electric motor-driven shaking table was developed by the interface with model interface toolkit in general real time system operating environment. Taking the Guangzhou New TV Tower with a passive TMD system as an example, the Finite Element (FE) model of Guangzhou New TV Tower was selected as the numerical substructure and TMD system was selected as the experimental substructure, the RTHS test was conducted at a sampling frequency of 250 Hz to estimate the wind-induced response of this high-rise structure with a TMD system in various dynamic wind loading cases. To reduce the time delay effect generated by the nonlinear interaction between motion control system and experimental substructure, the adaptive time series (ATS) compensator for time delay compensation was proposed in the RTHS test. The RTHS results were also compared with the numerical simulation results using the FE model of the investigated object. The RTHS test with additional ATS time delay compensator can obtain more accurate experimental results. The effectiveness of the proposed RTHS test system was testified to be powerful test system to evaluate the wind-induced response of high-rise structures with complex passive TMD system.

Trimodal Watch-Type Wearable Health Monitoring Device

In the domain of healthcare, wearable health monitoring devices have emerged as essential tools for the advancement of patient health tracking. These devices facilitate the provision of real-time medical data to clinicians, enabling early diagnosis, timely intervention, and enhanced management of individual health. This study introduces an innovative trimodal wearable health monitoring device in the form of a wristwatch. The device integrates a breath analyzer for the assessment of gaseous phase biomarkers, a sweat analyzer for the evaluation of aqueous-phase biomarkers, and an infrared sensor for the measurement of body temperature in the optical phase. Engineered on a compact 3 cm × 3 cm printed circuit board, the device has been optimized for wearability, power efficiency, and seamless integration with both wired and wireless charging and communication systems. Furthermore, custom software applications, designed for both Windows and Android platforms, have been developed to facilitate intuitive data visualization and storage on personal computers and smartphones. Empirical results from real-time chemical testing substantiate the device’s efficacy and potential as an advanced solution for wearable health monitoring.