Laboratory System Research Articles

Determination of morphine sulfate anti-pain drug solubility in supercritical CO2 with machine learning method

Accurate solute solubility measuring and modeling in supercritical carbon dioxide (ScCO2) would address the best working conditions and thermodynamic boundaries for material processing with this type of fluid. Theory- and data-driven methods are two general modeling approaches. Using theory-driven methods, the solubility is estimated based on the principles of thermodynamics, while data-driven methods are developed by training the algorithms. Despite acceptance of each of these methods, more experimental solubility data are still needed to promote modeling performances. In this study, for the first time, solubility of morphine sulfate is determined and modeled by a set of 13 semi-empirical (theory-driven) and random forest (data-driven) models. Using a laboratory system with an ultraviolet-visible (UV-Vis) spectroscopy, the experimental solubilities including 48 data points were obtained at different temperatures (308–338 K) and pressures (12–27 MPa). The minimum (0.806 × 10−5) and maximum (5.902 × 10−5) equilibrium mole fractions were observed at working pressures of 12 and 27 MPa, respectively, both at the same temperature of 338 K. It was indicated that random forest model (with AARD% of 1.29%) had an excellent predictive performance against semi-empirical models (with AARD% from 9.33 to 19.76%). The results showed that solute molecular weight had the highest effect on random forest modeling. Using modeling results from Chrastil and Bartle models, total and vaporization enthalpies of dissolution of morphine sulfate in ScCO2 were found to be 35.12 and 59.04 kJ/mole, respectively.

Characterization of Laboratory-Confirmed Creutzfeldt-Jakob Disease From 3 Ontario Tertiary Care Centers Between 2012 and 2022: A Retrospective Cohort Study.

Globally, Creutzfeldt-Jakob disease (CJD) affects one in one million people annually, but there is a paucity of recent Canadian data. This study summarizes epidemiology trends and diagnostic timelines of laboratory-confirmed CJD cases in three tertiary Ontario hospitals. Using laboratory information systems, we identified 30 patients with a laboratory-confirmed CJD diagnosis between 2012 and 2022 at three major tertiary hospitals in Ontario. Retrospective chart reviews were then completed. Patients had a mean of 2.2 hospital visits (SD, 1.2) prior to being admitted for testing. The most common symptom presentations included loss of coordination (63.3%), behavioral changes (60%), progressive mobility loss (53.4%), memory loss (50.0%), and involuntary movements (50.0%). Magnetic resonance imaging findings showed potential CJD in 76.7% of cases, and 56.7% exhibited periodic sharp wave complexes characteristic of CJD on electroencephalogram. The mean duration from symptom onset to microbiologic testing was 91 days (SD, 90.7). End-point quaking-induced conversion (EP-QuIC) testing of cerebrospinal fluid was positive in 90.0% of patients, while 83.3% tested positive for 14-3-3 on enzyme-linked immunosorbent assay. Elevated cerebrospinal fluid 14-3-3 levels significantly correlated with shorter duration from symptom onset to death (R 2 = 0.71, F = 19.55, P = .0022). Post-diagnosis, 46.7% of patients were discharged home, 16.6% were transferred to external palliative care or hospice facilities, and 36.7% died during admission. The mean time from symptom onset to death was 121 days (SD, 120.7), and from diagnosis to death 35 days (SD, 83.9). This study highlights the importance of early CJD consideration and laboratory testing when appropriate neurologic symptoms are present.

Numerical Investigation of the Indoor Environmental Factors With Stratum and Underfloor Air Distribution Systems in an Educational Institute Computer Laboratory

Abstract Ventilation with optimal airflow patterns is the most significant aspect in controlling airborne transmission as well as providing an improved indoor thermal environment and air quality in an energy-efficient way. Conducting the air-conditioned computer laboratory in educational institutes during the pandemic is challenging. This article presents a comparative study on various aspects related to indoor environmental quality factors, including thermal comfort indices, vertical air temperature differences, draught rate, air distribution effectiveness, CO2 concentration levels, energy saving, and dispersion of exhaled droplets of aerosols in different sizes (0.5 μm, 6 μm, 20 μm, and 45 μm). The study examines these factors by comparing 12 cases with different air distribution strategies (stratum, underfloor), air change rates (15 ACH and 20 ACH), and return outlet positions (1.3 m, 1.8 m, and 2.3 m). The numerical investigation is carried out in the educational institute computer laboratory model with the dimensions of 10 m (length), 5 m (width), and 3 m (height). The findings indicated that stratum ventilation and underfloor air distribution (UFAD) at a rate of 20 ACH, along with the placement of the return outlet in position 2, would ensure adequate ventilation, acceptable thermal comfort, and optimal energy savings. Compared to the overhead air distribution system, the maximum energy savings were obtained at 10.15% and 10.07% in both stratum and underfloor air distribution systems. Furthermore, the higher air distribution index and ventilation parameter were acquired in the UFAD system at 20 ACH. This study provides a better understanding of air distribution systems and aerosol particle dispersion in the indoor environment of a computer laboratory.

Contribution of land-atmosphere coupling in 2022 CONUS compound drought-heatwave events and implications for forecasting

Severe compound drought-heatwave events were observed over three regions of the Contiguous United States (CONUS), Northwest (NW), Great Plains (GP), and Northeast (NE) regions, during July and August 2022. In this study, we have found that the developments of these drought-heatwave events were shaped by different land-atmosphere coupling behaviors which are associated with water and energy limitation regimes in these regions. In the NW and GP regions, the surface soil moisture (SM) and evapotranspiration (ET) were coupled through water-limited processes. Heatwaves in these two regions were affected by the decrease of ET and the available SM due to the precipitation deficit. This type of land-atmosphere coupling was especially prominent in the GP. In the NE region, the heatwave governed ET through the increase of potential ET (PET) based on energy-limited coupling, which played a crucial role in the development of drought.The impacts of the different land-atmosphere coupling behaviors on the predictability of the 13-km Geophysical Fluid Dynamics Laboratory (GFDL) System for High-resolution prediction on Earth-to-Local Domains (SHiELD) were also investigated by checking its 10-day forecasts during the same period. The analysis was particularly focused on the GP and NE regions, where different land-atmosphere coupling behaviors were observed. The model's warm bias in the GP region was associated with the overestimated net radiation, and the bias was further amplified through the water-limited coupling. In the NE region, the PET-related variables, including surface air temperature, influenced the predictability of drought onset by limiting ET through the energy-limited coupling. Based on our findings, this study highlights the crucial role of land-atmosphere coupling behaviors and provides a scientific strategy for enhancing the model predictability of compound drought-heatwaves.

Laboratory systems for detonation research

Decarbonizing global energy systems is among the most pertinent challenges in the climate crisis. Tightly tied to the economic prosperity of a nation and responsible for more than 75% of global emissions, decarbonization of the energy sector will require well-developed solutions. The emergence of detonation engines can reduce emissions in aviation and gas-fired power generation, with theoretical efficiencies 40% lower than conventional engines. These efficiencies have yet to be realized in practice, due to our lack of understanding of detonation propagation and its instabilities. This project aimed to develop the laboratory systems required to study detonations. To this end, a long rectangular channel was manufactured and outfitted with a gas handling system to inject a mixture, an ignition system, pressure transducers to capture the propagation characteristics, and an optical system enabling Schlieren photography. The gas handling system uses sonic nozzles, thus flow rate is a linear function of upstream line pressure. Each line contains a pressure transducer, microcontroller to process signals, LCD for pressure readout, and a regulator for adjustment of the line pressure. The ignition system uses an ignition box that steps up a 12 V supply to 400 V, an ignition coil raising the voltage to 15-40 kV, and a spark plug to ignite the mixture. Ignition, pressure transducer signal acquisition, and Schlieren photography are all synchronized using a NI-6356 DAQ with LabVIEW. The DAQs analog input ports receive readings from the pressure transducers along the channel, the timing of which and known distance between transducers allows for velocity calculations. The schlieren system utilizes the digital output channels to synchronize camera shutter with an LED driver, and parabolic mirrors, positioned to optimize schlieren imaging. The LED driver requires greater current than produced by the DAQ thus a current amplifier circuit is used to bridge the DAQ and driver.

A hybrid residue based sequential encoding mechanism with XGBoost improved ensemble model for identifying 5-hydroxymethylcytosine modifications

RNA modifications play an important role in actively controlling recently created formation in cellular regulation mechanisms, which link them to gene expression and protein. The RNA modifications have numerous alterations, presenting broad glimpses of RNA’s operations and character. The modification process by the TET enzyme oxidation is the crucial change associated with cytosine hydroxymethylation. The effect of CR is an alteration in specific biochemical ways of the organism, such as gene expression and epigenetic alterations. Traditional laboratory systems that identify 5-hydroxymethylcytosine (5hmC) samples are expensive and time-consuming compared to other methods. To address this challenge, the paper proposed XGB5hmC, a machine learning algorithm based on a robust gradient boosting algorithm (XGBoost), with different residue based formulation methods to identify 5hmC samples. Their results were amalgamated, and six different frequency residue based encoding features were fused to form a hybrid vector in order to enhance model discrimination capabilities. In addition, the proposed model incorporates SHAP (Shapley Additive Explanations) based feature selection to demonstrate model interpretability by highlighting the high contributory features. Among the applied machine learning algorithms, the XGBoost ensemble model using the tenfold cross-validation test achieved improved results than existing state-of-the-art models. Our model reported an accuracy of 89.97%, sensitivity of 87.78%, specificity of 94.45%, F1-score of 0.8934%, and MCC of 0.8764%. This study highlights the potential to provide valuable insights for enhancing medical assessment and treatment protocols, representing a significant advancement in RNA modification analysis.

Mars 2020 Descent Stage Integrated Propulsion Subsystem: Changes and Flight Performance

On February 18, 2021, NASA’s Mars 2020 mission successfully landed the Perseverance rover in Jezero Crater, the heaviest interplanetary rover ever built, on the surface of Mars. Following up on the successful entry, descent, and landing of the Curiosity rover of the Mars Science Laboratory mission in August 2012, the Mars 2020 mission Descent Stage Propulsion System was a build-to-print sequel. The Mars 2020 Descent Stage Propulsion System had a few minor low risk changes based on the flight performance of the Mars Science Laboratory System to improve performance. The in-flight performance of the Descent Stage Propulsion System was consistent with expectations with the exception of apparent higher than expected delivered thrust from the Mars Lander Engines, which occurred on both the Mars 2020 and the Mars Science Laboratory missions. The Descent Stage Propulsion System completed its mission with significant capability margin with respect to thruster life, maximum delivered thrust, and available propellant at touchdown.

Distributed Automation System Lab at University of Naples Federico II [Its Research Lab

Distributed Automation System Lab at University of Naples Federico II [Its Research Lab

An Open-Source 3D-Printed Recording Stage with Customizable Chambers for Ex Vivo Experiments.

Much of what has been discovered concerning neurophysiological mechanisms can be credited to ex vivo biomedical experiments. Beyond these discoveries, ex vivo research techniques have enhanced the global understanding of human physiology and pathology in almost every biomedical specialty. Naturally, ex vivo experiments are among the most desired methods of research, particularly in the field of neuroscience. Ex vivo experiment platforms may be purchased commercially. However, their substantial cost and sometimes limited availability can render them inaccessible to many research labs. Moreover, these manufactured systems are often rigid in function with no possibility of customization, severely narrowing their capabilities. However, developing essential components for ex vivo laboratory systems with a fused deposition modeling printer provides a practical solution to each of these obstacles. Here, we provide the designs and construction process for an easily accessible, highly adaptable recording stage with modifiable submersion chambers using a 3D printer for a total cost under $15.00. With the versatility afforded by the exchangeable custom chambers, the system may be used to conduct research on a variety of ex vivo tissue preparations, paving the way for novel research.

ARIANT Assessments for CANDU Analysis Using RD-14M Experiments

ARIANT (AlgoRIthm for Analysis of Network Thermalhydraulics) is a Canadian Nuclear Laboratories system thermal-hydraulic code for the modeling and analysis of two-phase flow and heat transfer for pressurized heavy water reactors, light water pressurized water reactors, and advanced reactor applications. This paper presents ARIANT models and simulations of RD-14M experiments, including small-break loss-of-coolant accidents, large-break loss-of-coolant accidents, loss-of-flow accidents, station blackout, and natural circulation, that are representative of accident scenarios in a CANDU reactor. ARIANT predictions of pressures, flow rates, temperatures, and void fractions are compared against the steady-state and transient data over the course of the tests. The results show that ARIANT predicted the key parameters with reasonable accuracy, as well as the overall behavior of the five transient events. These assessments support ARIANT’s applicability to the corresponding CANDU design-basis accidents and demonstrate ARIANT as an alternative to existing system thermal-hydraulic codes for CANDU safety analysis.

A Situation Analysis of the Capacity of Laboratories in Faith-Based Hospitals in Zambia to Conduct Surveillance of Antimicrobial Resistance: Opportunities to Improve Diagnostic Stewardship.

Antimicrobial resistance (AMR) is a public health problem exacerbated by the overuse and misuse of antibiotics and the inadequate capacity of laboratories to conduct AMR surveillance. This study assessed the capacity of laboratories in seven faith-based hospitals to conduct AMR testing and surveillance in Zambia. This multi-facility, cross-sectional exploratory study was conducted from February 2024 to April 2024. We collected and analysed data using the self-scoring Laboratory Assessment of Antibiotic Resistance Testing Capacity (LAARC) tool. This study found an average score of 39%, indicating a low capacity of laboratories to conduct AMR surveillance. The highest capacity score was 47%, while the lowest was 25%. Only one hospital had a full capacity (100%) to utilise a laboratory information system (LIS). Three hospitals had a satisfactory capacity to perform data management with scores of 83%, 85%, and 95%. Only one hospital had a full capacity (100%) to process specimens, and only one hospital had good safety requirements for a microbiology laboratory, with a score of 89%. This study demonstrates that all the assessed hospitals had a low capacity to conduct AMR surveillance, which could affect diagnostic stewardship. Therefore, there is an urgent need to strengthen the microbiology capacity of laboratories to enhance AMR surveillance in Zambia.

Testing for Markovian character of transfer of fluctuations in solar wind turbulence on kinetic scales.

We apply statistical analysis to search for processes responsible for turbulence in physical systems. In our previous studies, we have shown that solar wind turbulence in the inertial range of large magnetohydrodynamic scales exhibits Markov properties. We have recently extended this approach on much smaller kinetic scales. Here we are testing for the Markovian character of stochastic processes in a kinetic regime based on magnetic field and velocity fluctuations in the solar wind, measured onboard the Magnetospheric Multiscale (MMS) mission: behind the bow shock, inside the magnetosheath, and near the magnetopause. We have verified that the Chapman-Kolmogorov necessary conditions for Markov processes is satisfied for local transfer of energy between the magnetic and velocity fields also on kinetic scales. We have confirmed that for magnetic fluctuations, the first Kramers-Moyal coefficient is linear, while the second term is quadratic, corresponding to drift and diffusion processes in the resulting Fokker-Planck equation. It means that magnetic self-similar turbulence is described by generalized Ornstein-Uhlenbeck processes. We show that for the magnetic case, the Fokker-Planck equationleads to the probability density functions of the kappa distributions, which exhibit global universal scale invariance with a linear scaling and lack of intermittency. On the contrary, for velocity fluctuations, higher order Kramers-Moyal coefficients should be taken into account and hence scale invariance is not observed. However, the nonextensity parameter in Tsallis entropy provides a robust measure of the departure of the system from equilibrium. The obtained results are important for a better understanding of the physical mechanism governing turbulent systems in space and laboratory.

An asymmetrical body: Example of analytical solution for the rotation matrix in elementary functions and Dzhanibekov effect

We solved the Poisson equations, obtaining their exact solution in elementary functions for the rotation matrix of a free asymmetrical body with angular velocity vector lying on separatrices. This allows us to discuss the temporal evolution of Dzhanibekov’s nut directly in the laboratory system, where it is observed. The rotation matrix depends on two parameters with clear physical interpretation as a frequency and a damping factor of the solution. Qualitative analysis of the solution shows that it properly describes a single-jump Dzhanibekov effect.

Validation of a single specimen pneumatic tube system in the clinical laboratory.

The single-specimen pneumatic tube (PTS) is a commonly used rapid specimen delivery system in modern clinical laboratories. However, its impact on sample integrity and laboratory test results remains controversial. The installation and configuration of single-specimen PTS are unique to their institution. We sought to validate our single-specimen PTS by comparing routine chemistry, immunology, and hematology results with a repeat sample integrity index for manual transport. In 2023, 30 employees were randomly selected from the company medical examination, and three tubes of procoagulant serum samples and three tubes of EDTA anticoagulant blood samples were collected from each of them. Group A uses a single specimen PTSat 8m/s, Group B uses a single specimen PTSat 15m/s, and Group C uses manual transfer. Specimens from all three groupswere simultaneously analysedfor ALT, AST, TG, TC, LDL, K, NA, CI, TSH, hs-cTnT, NSE, Cyfra21-1 and haematological analysis. The differences between the three groups of NSE and Cyfra21-1 were statistically significant (P <0.05). The differences of the rest of the items were not statistically significant. The difference in NSE was not statistically significant between groups A and B (P =0.401), B and C, and C and A (P <0.05). The difference in Cyfra21-1 was not statistically significant between groups A and B (P =0.897), B and C (P =0.052), and C and A (P =0.145). Individual sample PTS should be validated for testing prior to use to ensure the results' accuracy.

Testing for Blastomycosis, Coccidioidomycosis, and Histoplasmosis at a Major Commercial Laboratory, United States, 2019-2024.

Blastomycosis, coccidioidomycosis, and histoplasmosis are environmentally acquired fungal diseases that clinically resemble bacterial and viral community-acquired pneumonia and require laboratory testing for diagnosis. Patients frequently present to primary care and experience diagnostic delays when a fungal etiology is not initially suspected. Current national-level public health surveillance for these diseases is limited and does not include laboratory data, so nationwide testing practices are unknown. We identified laboratory tests for blastomycosis, coccidioidomycosis, and histoplasmosis ordered during 1 March 2019-29 February 2024 and performed within a major national commercial laboratory system. We analyzed test results, patient and healthcare provider features, reasons for testing, and temporal trends. Results included 5693 Blastomyces complement fixation tests (of those, 12% were positive), 71 858 immunodiffusion tests (0.1% positive), and 1186 serum enzyme immunoassay (EIA) tests (11% positive); 154 989 Coccidioides EIA immunoglobulin M results (5% positive) and 154 968 immunoglobulin G results (8% positive); and 46 346 Histoplasma complement fixation tests (30% positive), 49 062 immunodiffusion tests (1% positive), 35 506 serum EIA tests (4% positive), and 82 489 urine EIA tests (2% positive). Most histoplasmosis (58%-74%) and blastomycosis (42%-68%) tests were ordered from hospitals, whereas coccidioidomycosis tests were most frequently ordered by primary care providers (40%). A yearly average of 2727 positive tests were ordered by healthcare providers in states without public health surveillance for these diseases. Blastomycosis, coccidioidomycosis, and histoplasmosis are likely underdetected in primary care settings or by public health surveillance. Increased testing by primary care providers and expanded surveillance are needed to reduce disease burden.

A 15-Year Retrospective on Immersive Visualization Lessons from the Applied Visualization Laboratory

Abstract This paper shares the experiences of operating an immersive visualization laboratory over a 15-year period. The paper discusses valuable insights into the lessons learned from various projects, including the challenges they faced, such as technical difficulties, user adoption, and practical solutions for overcoming them. One crucial element for successful immersive visualization projects is interdisciplinary collaboration. The paper presents the advantages of immersive visualization technology, such as improved data comprehension, enhanced communication, and increased engagement in complex scenarios. We present the dynamic realm of virtual and augmented reality (VR/AR) technology in the context of an immersive laboratory system. We spotlight rising trends inside the integration of VR/AR tools for visualization. We also present our experience in dealing with the hardware and software additives in immersive VR/AR labs, shedding light on the demanding situations and successes encountered throughout everyday operations. Furthermore, we offer practical knowledge and guidance based on years of experience in the field, which can help you overcome challenges and achieve success in your project.

Strengthening the US Public Health Lab System: Summary of Coronavirus Disease (COVID-19) After Action Review Workshop.

The COVID-19 pandemic highlighted the significance of public health laboratories across the United States, while also revealing weaknesses in the laboratory system. To identify actionable recommendations for building a more resilient public health laboratory system based on previously published lessons learned from COVID-19. In April 2023, the Association of Public Health Laboratories, in cooperation with RAND , convened a 1.5-day after action review workshop of approximately 30 public health laboratory stakeholders to reevaluate priorities, improve processes, and affect policies. Analysis of workshop discussions identified 5 priority areas and 19 recommendations related to clarifying laboratories' unique role and promoting workforce capacity/agility, technology, and collaboration with governmental and nongovernmental partners. Within the identified priority areas, workshop participants described how the recommendations would address challenges encountered during COVID-19 and contribute to strengthening the system. As the risk of novel infectious diseases persists and grows, the importance of maintaining laboratory response capabilities is likely to increase. Addressing the system's weaknesses will require active engagement of laboratories and the many stakeholders who depend on them, along with consistent, adequate funding to strengthen and sustain capabilities.

Laser-Induced Breakdown Spectroscopy in Mineral Exploration and Ore Processing

Laser-induced breakdown spectroscopy (LIBS) is a type of optical emission spectroscopy capable of rapid, simultaneous multi-element analysis. LIBS is effective for the analysis of atmospheric gases, geological fluids, and a broad spectrum of minerals, rocks, sediments, and soils both in and outside the traditional laboratory setting. With the recent introduction of commercial laboratory systems and handheld analyzers for use outside the laboratory for real-time in situ analysis in the field, LIBS is finding increasing application across the geosciences. This article first overviews the LIBS technique and then reviews its application in the domain of mineral exploration and ore processing, where LIBS offers some unique capabilities.

AutoBioTech─A Versatile Biofoundry for Automated Strain Engineering.

The inevitable transition from petrochemical production processes to renewable alternatives has sparked the emergence of biofoundries in recent years. Manual engineering of microbes will not be sufficient to meet the ever-increasing demand for novel producer strains. Here we describe the AutoBioTech platform, a fully automated laboratory system with 14 devices to perform operations for strain construction without human interaction. Using modular workflows, this platform enables automated transformations of Escherichia coli with plasmids assembled via modular cloning. A CRISPR/Cas9 toolbox compatible with existing modular cloning frameworks allows automated and flexible genome editing of E.coli. In addition, novel workflows have been established for the fully automated transformation of the Gram-positive model organism Corynebacterium glutamicum by conjugation and electroporation, with the latter proving to be the more robust technique. Overall, the AutoBioTech platform excels at versatility due to the modularity of workflows and seamless transitions between modules. This will accelerate strain engineering of Gram-negative and Gram-positive bacteria.

The Research on Microwave Drying Characteristics of Polyethylene Terephthalate Materials Based on Frequency and Power Tuning Technology

Polyethylene Terephthalate (PET), renowned for its exceptional physical and chemical properties, finds widespread use in our daily lives. However, conventional PET drying methods are time consuming and energy intensive. Leveraging microwave heating effects, we investigated drying characteristics concerning both microwave parameters and PET permittivity. The PET permittivity variation during heating is related to the microwave reflection at the incident port. Our innovative approach involves frequency and power tuning based on reflection. This method not only significantly improved heating uniformity and reduced temperature covariance (COVT) but also led to a more uniformly distributed temperature profile and a drastic reduction in energy consumption. Integrating precise and rapid frequency tuning, we compared our method’s efficiency with traditional approaches, revealing an impressive time savings of 2 h and an energy consumption limited to approximately less than 3 kWh/kg. Notably, our laboratory system’s logistic models of the Moisture Ratio (MR) related to rotary rates, masses, and powers whose averages of R-square are 0.9972, 0.9982, and 0.9977, respectively, which provide intriguing insights for industrial production forecasts during variable frequency PET drying.