Laboratory System Research Articles

NCMP-30. GLUCOCORTICOID-INDUCED HYPERGLYCEMIA IN BRAIN TUMOR PATIENTS: A SINGLE CENTER RETROSPECTIVE STUDY

Abstract BACKGROUND Glucocorticoid (GC) therapies are integral in managing brain tumor-associated cerebral edema and neurological deficits in the neuro-oncology perioperative setting. Despite their effectiveness, GCs can induce significant morbidity, including hyperglycemia. METHODS This single-center retrospective study at the University of North Carolina neurological surgery department examines the incidence and risk factors for glucocorticoid-induced hyperglycemia in brain tumor patients treated with high-dose GCs. Data from clinical databases, electronic medical records, laboratory systems, and pathology information banks will be utilized. Documented glucose measurements, glycated hemoglobin test (HbA1c) and clinical outcomes (mortality, infection, hypoglycemia) in brain cancer patients treated with Glucocorticoid (GC) that developed hyperglycemia will be compared with brain tumor patient with normoglycemia. RESULTS We will document the total number of brain tumor patients referred over the study period, eligibility rates, and the percentage that developed glucocorticoid-induced diabetes (defined as two glucose measurements ≥200 mg/dL within the first week of treatment). Timing of hyperglycemia onset, treatments received, and risk factors for developing glucocorticoid-induced diabetes will also be analyzed. CONCLUSIONS The findings could underscore the necessity for proactive screening for glucocorticoid-induced diabetes in brain tumor patients to mitigate the associated morbidity. This study may guide future research on the benefits of optimized glucose control on clinical outcomes in patients with GC-induced hyperglycemia. Keywords: brain tumor, steroid-induced hyperglycemia, glucocorticoid-induced diabetes, dysglycemia, risk factors, outcomes.

An artificial intelligence-enabled consumables tracking system for medical laboratories

Abstract The medical laboratory plays a crucial role within a hospital setting and is responsible for the examination and analysis of patient specimens to accurately diagnose various ailments. The burden on medical laboratory personnel has significantly increased, particularly in the context of the ongoing global COVID-19 pandemic. Worldwide, the implementation of comprehensive and extended COVID-19 screening programs has placed a significant strain on healthcare professionals. This burden has led to exhaustion among medical employees, limiting their ability to effectively track laboratory resources, such as medical equipment and consumables. Therefore, this study proposed an artificial intelligence (AI)-based solution that contributes to a more efficient and less labor-intensive workflow for medical workers in laboratory settings. With the ultimate goal to reduce the burden on healthcare providers by streamlining the process of monitoring and managing these resources, the objective of this study is to design and develop an AI-based system for consumables tracking in medical laboratories. In this work, the effectiveness of two object detection models, namely, YOLOv5x6 and YOLOv8l, for the administration of consumables in medical laboratories was evaluated and analyzed. A total of 570 photographs were used to create the dataset, capturing the objects in a variety of settings. The findings indicate that both detection models demonstrate a notable capability to achieve a high mean average precision. This underscores the effectiveness of computer vision in the context of consumable goods detection scenarios and provides a reference for the application of real-time detection models in tracking systems within medical laboratories.

π+π− Coulomb interaction study and its use in data processing

In this work, the Coulomb effects (Coulomb correlations) in π+π− pairs produced in p+Ni collisions at 24 GeV/c, are studied using experimental π+π− pair distributions in Q, the relative momentum in the pair center-of-mass system (c.m.s.), and its projections QL (longitudinal component) and Qt (transverse component) relative to the pair direction in the laboratory system (LS). The major part of the pion pairs (“Coulomb pairs”) is produced in the decay of ρ, ω and Δ resonances and other short-lived sources. In these pairs, the significant Coulomb interaction occurs at small Q, dominating the π+π− interaction in the final state. The minor part of the pairs (“non-Coulomb pairs”) is produced if one or both pions arose from long-lived sources like η,η′ or from different interactions. In this case, the final state interaction is practically absent. The Q, QL, and Qt distributions of the Coulomb pairs in the c.m.s. have been simulated assuming they are described by the phase space modified by the known point-like Coulomb correlation function AC(Q), corrected for small effects due to the nonpointlike pair production and the strong two-pion interaction. The same distributions of non-Coulomb pairs have been simulated according to the phase space, but without AC(Q). In all Qt intervals, the experimental QL spectrum shows a peak around QL=0 caused by the Coulomb final state interaction. The full width at half maximum increases with Qt from 3 MeV/c for 0<Qt<0.25 MeV/c to 11 MeV/c for 4.0<Qt<5.0 MeV/c. The experimental QL distributions have been fitted with two free parameters: the fraction of Coulomb pairs and the normalization constant. The precision of the description of these distributions is better than 2% in Qt intervals 2–3, 3–4, and 4–5 MeV/c and better than 0.5% in the total Qt interval 0–5 MeV/c. It is shown that the number of Coulomb pairs in all Qt intervals, including the small Qt (small opening angles θ in the LS) is calculated with theoretical precision better than 2%. The comparison of the simulated and experimental numbers of Coulomb pairs at small Qt allows us to check and correct the detection efficiency for the pairs with small θ (0.06 mrad and smaller). It is shown that Coulomb pairs can be used as a new physical tool to check and correct the quality of the simulated events. The special property of the Coulomb pairs is the possibility of checking and correcting the detection efficiency, especially for the pairs with small opening angles. Published by the American Physical Society 2024

A systematic approach of correct laboratory commissioning: special procedural features for medical laboratories using the example of specialised forms of care

Abstract Since the complexities of commissioning medical laboratory tests have grown continuously as a result of the increase in specialised forms of care, this article aims to create a practice-oriented structure of the legal and procedural requirements and to illustrate these using case studies – specifically using the example of so-called ambulatory medical specialist care (ASV) in accordance with Par. 116b SGB V and selected selective contracts in accordance with Par. 140a SGB V. Even if the system of correct laboratory billing described in our previous articles has remained largely valid, we believe that structuring specialised forms of care in the outpatient sector would be particularly helpful. In addition to our previous articles on the system of correct laboratory billing, it is shown that laboratory commissioning must also be systematically correct and that all parties involved in the process (doctor’s surgeries, clinics, medical laboratories and insured persons) will benefit from this. In doing so, we are developing a system for correct laboratory ordering that leads to an improvement in process quality and process simplification when functionalised via so-called “order/entry”- or automated registration systems.

Experimental Verification of a Compressor Drive Simulation Model to Minimize Dangerous Vibrations

The article highlights the importance of analytical computational models of torsionally oscillating systems and their simulation for estimating the lowest resonance frequencies. It also identifies the pitfalls of the application of these models in terms of the accuracy of their outputs. The aim of the paper is to control the dangerous vibration of a mechanical system actuator using a pneumatic elastic coupling using different approaches such as analytical calculations, experimental measurement results, and simulation models. Based on the known mechanical properties of the laboratory system, its dynamic model in the form of a twelve-mass chain torsionally oscillating mechanical system is developed. Subsequently, the model is reduced to a two-mass system using the method of partial frequencies according to Rivin. The total load torque of the piston compressor under fault-free and fault conditions is simulated to obtain the amplitudes and phases of the harmonic components of the dynamic torque. After calculating the natural frequency and the natural shape of the oscillation, the Campbell diagram is processed to determine the critical revolutions. There is a pneumatic flexible coupling between the rotating masses, which changes the dynamic torsional stiffness. The dynamic torque curves transmitted by the coupling are compared with different dynamic torsional stiffnesses during steady-state operation and one cylinder failure. The monitored values are the position of the critical revolutions, the natural frequency, the natural shape of the oscillation, and the RMS of the dynamic load torque. The experimental model is verified by the simulation model. The accuracy of the developed simulation model with the experimental data are apparently very good (even more than 99% of the critical revolutions value obtained by calculation); however, it depends on the dynamic stiffness of the coupling. In this study, a detailed, comprehensive approach combining analytical procedures with simulation models is presented. Experimental data are verified with simulation results, which show a good agreement in the case of 700 kPa coupling pressure. The inaccuracy of some of the experiments (at 300 and 500 kPa pressures) is due to the interaction of the coupling’s apparent stiffness and the level of the damped vibration energy in the coupling, which is manifested by its different heating. Based on further experiments, a solution to these problems will be proposed by introducing this phenomenon effectively into the simulation model.

Experimental study and simulation of a solid desiccant cooling system installed in northern Algeria

An experimental investigation of a solid desiccant cooling system for a research laboratory on the Algerian coast has been carried out. The system utilized flat-plate solar collectors for regeneration and was evaluated through a combination of individual component characterization, system modeling (using TRNSYS), and experimental validation. The results obtained have been validated and show that the efficiency of the rotary heat exchanger reached 65 %, the evaporative humidifier efficiency reached 94 %, and the desiccant wheel achieved efficiencies of 73 % on the process side and 66 % on the regeneration side. This translates to a significant dehumidification effect, reducing absolute humidity in the treated air by 9 g/kg, for the supply air temperature effectively maintained at a comfortable 24 °C. The close agreement between the simulated and experimental COP values (1.13 and 1.08, respectively) validates the chosen approach and confirms the potential of this technology for energy-efficient building cooling in the hot and humid Mediterranean climate of northern Algeria.

Polarization optical properties of suspended particles measurement in water by a polarized Scheimpflug lidar system

The polarization optical properties of suspended particles in water play a pivotal role in numerical simulation or real water medium detection. Polarized multi-wavelength oceanic lidar provides an effective method for characterizing the size, shape, and concentration of suspended particles. In this paper, we present a concise and effective optical approach to measure the information in the polarization of the lidar signal with 0°, 45°, 90°, and 135° polarization angles of suspended particles by laboratory experiments based on polarized Scheimpflug lidar system. This work uses typical suspended particles with different sizes and shapes as tracer particles to analyze particulate polarization information. Experiments with spherical or irregular silicon dioxide particles show that these particles can be effectively distinguished by analyzing the polarization optical properties of the backward scattering light. The laboratory system can classify suspended particles and may serve as a shipborne oceanic lidar or be used with submersibles.

Effect of Pre-Analytical Line Settings on Artefactually Elevated Anion Gap Results

Abstract Introduction When the core lab at a large tertiary care hospital introduced an automated laboratory system from a major manufacturer, the automated line aliquoted patient serum into open cups for all chemistry testing. It was subsequently discovered that if sample testing was delayed, electrolyte abnormalities could be introduced from evaporation, resulting in an increased anion gap (presumably due to a loss of bicarbonate with evaporation of carbon dioxide). To address this issue, the core lab changed the sample processing protocol in April 2023 from an open cup system to testing primary tubes on the analyzers. The purpose of this study was to evaluate the impact of switching to a primary tube testing system on artefactually elevated anion gap results. Methods Equivalent ten-week blocks of anion gap, creatinine and sample turnaround time (from receipt on the line to analyzer perform time) results from pre- to post-primary tube conversion were collected from the laboratory information system. Data from weekend testing and from repeat samples from the same patient were excluded. Data was cleaned and analyzed using R. Results Multivariable linear regression showed that when adjusted for the turnaround time and creatinine result, the open cup system was significantly associated (p<0.0001) with a 0.95 [95% CI 0.69-1.21] increase in anion gap. There was a positive relationship between turnaround time and anion gap, with a slope of 0.017 (i.e., a 0.017 increase in anion gap per minute delay; p<0.0001). Overall, the proportion of abnormal results (defined as anion gap >=16) decreased from 26% to 10% after switching to a primary tube testing system. Furthermore, there was an association between the times of day in which the lines were overloaded with specimens, turnaround time, and an increase in abnormal anion gap results. Overall, the mean anion gap decreased by 1 with a turnaround time of one hour and 2 after two hours by switching to the primary tube system. This trend in anion gap was largely driven by a corresponding decrease in bicarbonate. Sodium and chloride levels did not show any relationship with turnaround time. Conclusions Using an open cup system for electrolyte testing can cause spuriously elevated anion gap levels, especially with testing delays. Switching to a primary tube testing system largely resolved the issue; however, the data still showed a weakly positive relationship between turnaround time and anion gap for the primary tube testing system, so additional work is needed to identify potential causes of this relationship.

Manipulating a host-native microbial strain compensates for low microbial diversity by increasing weight gain in a wild bird population

Empirical studies from laboratory systems and humans show that the gut microbiota is linked to host health. Similar evidence for effects on traits linked to fitness in nature is rare, not least because experimentally manipulating the gut microbiota is challenging. We isolated, characterized, and cultured a bacterial strain, Lactobacillus kimchicus APC4233, directly from a wild bird (the great tit Parus major) and provided it as a self-administered dietary supplement. We assessed the impact of the treatment on the host microbiota community, on weight, and tested whether the treatment affected a previous result linking microbiota alpha diversity to weight in nestlings. The treatment dramatically increased L. kimchicus abundance in the gut microbiota and increased alpha diversity. This effect was strongest in the youngest birds, validating earlier findings pointing to a brief developmental window when the gut microbiota are most sensitive. In time-lagged models, nestling weight was higher in the treatment birds suggesting L. kimchicus may have probiotic potential. There was also a positive time-lagged relationship between diversity and weight in control birds but not in the treatment birds, suggesting L. kimchicus helped birds compensate for low alpha diversity. We discuss why ecological context is likely key when predicting impacts of the microbiome. The manipulation of the gut microbiota with a host native strain in this wild population provides direct evidence for the role of the microbiota in the ecology and evolution of natural populations.

High incidence of multidrug-resistant tuberculosis in Bhutan: A cohort study based on national TB surveillance data

ObjectivesThe emergence of multidrug-resistant tuberculosis (MDR-TB) has made the elimination of TB difficult. Currently, there are limited data on MDR-TB and other drug-resistant TB in Bhutan. We aimed to estimate the incidence and explore the potential risk factors associated with MDR/pre-extensively drug-resistant (pre-XDR)-TB using comprehensive national TB data. MethodsWe used the data from the Tuberculosis Information Surveillance System of the National Tuberculosis Reference Laboratory to analyze the resistance pattern and epidemiologic data for all TB cases tested for resistance for the year 2018-2021. Multiple logistic regression was performed to identify risk factors associated with MDR/pre-XDR-TB. ResultsOf the 2,290 samples tested for drug resistance, 10.6% (n = 243) was MDR-TB, 3.5% (n = 81) was isoniazid-resistant TB, and 0.61% (n = 14) was pre-XDR-TB. A high incidence of MDR/RR-TB/pre-XDR-TB was documented among patients in Thimphu, Samtse, and Sarpang districts. MDR/pre-XDR-TB was more likely documented among patients aged 18-39 years (adjusted odds ratio [aOR] 2.79; 95% confidence interval [CI] 1.46-6.07), female sex (aOR 1.37; 95% CI 1.01-1.86), and patients previously treated for TB (aOR 2.98; 95% CI 1.99-4.42). ConclusionsGiven the high burden of MDR-TB in some districts, decentralization of diagnostic facilities for more rapid characterization could improve early recognition of drug-resistant cases and assist in management. Comprehensive follow-up and monitoring of high-risk groups should be performed.

Best clinical practice experience at University of Gondar Comprehensive specialized Hospital Emergency and critical care Medicine department, A Case Study Under a resource limited set up

Abstract Background The emergency department (ED) is unique unstable environment where someone faces unscheduled and undifferentiated diseased patients, stressed families, unsettled staffs and unequitable resources.UoGCSH is the oldest in the Ethiopia and the only referral hospital for more than 13 million people from the five-zone north-west Ethiopia with 950 beds capacity. During the 2020 G.C a proposal paper was submitted to the administration bodies of the college and the hospital. The proposal was suggesting short term, mid-term and long-term quality improvement segments implemented in institutionally convenient manner. Objective To describe the transformation of emergency and critical care medical services at University of Gondar Comprehensive specialized hospital from scratch to the current status. Method A descriptive case study design was applied to narrate critical care service transformation at UoG Comprehensive Specialized Hospital. Since this case study is a data review from gathered secondary data, desk reviews of the emergency department, quality directorate data review, and the annual audit report review, there was no need for IRB approval. Result and recommendation After a year of renovation, we were able to organize a newly refurbished emergency room having a triage area with adequate reception space, Red resuscitation area with 10 beds (considering patient overflow), Orange with 18 beds, Yellow with 10 beds and floater area, isolation room, decontamination room, ED laboratory, main store, disaster store and piped oxygen system to all beds. we have gone a long journey in bringing those promised practices into demonstrable practice and finally replicable prototypic best practice. Even though we paced extra miles in achieving this status. Standard emergency room work flow implementation enable us to control the day-to-day patient and attendant crowding that impedes the anticipated medical treatment outcome and result in a significant dissatisfaction.Despite this achievement the trauma center establishment and high-quality patient care is recommended.

Influenza-Like Illness in Lesotho From July 2020 to July 2021: Population-Based Participatory Surveillance Results.

Participatory surveillance involves at-risk populations reporting their symptoms using technology. In Lesotho, a landlocked country of 2 million people in Southern Africa, laboratory and case-based COVID-19 surveillance systems were complemented by a participatory surveillance system called "LeCellPHIA" (Lesotho Cell Phone Population-Based HIV Impact Assessment Survey). This report describes the person, place, and time characteristics of influenza-like illness (ILI) in Lesotho from July 15, 2020, to July 15, 2021, and reports the risk ratio of ILI by key demographic variables. LeCellPHIA employed interviewers to call participants weekly to inquire about ILI. The average weekly incidence rate for the year-long period was created using a Quasi-Poisson model, which accounted for overdispersion. To identify factors associated with an increased risk of ILI, we conducted a weekly data analysis by fitting a multilevel Poisson regression model, which accounted for 3 levels of clustering. The overall response rate for the year of data collection was 75%, which resulted in 122,985 weekly reports from 1776 participants. ILI trends from LeCellPHIA mirrored COVID-19 testing data trends, with an epidemic peak in mid to late January 2021. Overall, any ILI symptoms (eg, fever, dry cough, and shortness of breath) were reported at an average weekly rate of 879 per 100,000 (95% CI 782-988) persons at risk. Compared to persons in the youngest age group (15-19 years), all older age groups had an elevated risk of ILI, with the highest risk of ILI in the oldest age group (≥60 years; risk ratio 2.6, 95% CI 1.7-3.8). Weekly data were shared in near real time with the National COVID-19 Secretariat and other stakeholders to monitor ILI trends, identify and respond to increases in reports of ILI, and inform policies and practices designed to reduce COVID-19 transmission in Lesotho. LeCellPHIA, an innovative and cost-effective system, could be replicated in countries where cell phone ownership is high but internet use is not yet high enough for a web- or app-based surveilance system.

Enhancing DC Microgrids Stability by Integrating DAB Converters with Consensus Algorithms for Bus Voltage Drop Mitigation

Renewable energy sources (RESs) have become a prominent trend in the development of energy systems in many countries. To manage RESs, microgrids have emerged as an efficient and optimal solution. However, a microgrid might occasionally have problems like overloading and voltage sag. To address this problem, this paper proposes a technique that combines a consensus algorithm and a dual active bridge (DAB) to transfer energy between two different microgrids. A detection technique for overloading and voltage sag is part of the proposed control approach. In these circumstances, the DAB facilitates consensus adjustments to the stable microgrid current to bring it into balance with the overloaded current. By applying this proposed control method, voltage drops are significantly reduced, leading to an improvement in the power system quality. The simulation results of the microgrid and a scaled‐down laboratory system are conducted to verify the feasibility of the proposed control scheme. © 2024 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.

A-189 Six Sigma for Thyroid Stimulating Hormone (TSH)

Abstract Background Effective quality control processes within clinical laboratories are crucial for monitoring and assessing the analytical performance in terms of precision and accuracy. The regular measurement of these parameters plays a pivotal role in ensuring patient safety and is often a prerequisite for accreditation by various organizations. Six Sigma metrics have emerged as one of the most efficient tools for evaluating the analytical performance of clinical laboratory systems. This approach integrates Total Allowable Error (TEa), encompassing both random and systematic errors into a single comprehensive index. This study details the establishment of Six Sigma in our laboratory for Thyroid Stimulating Hormone (TSH) for eight different modules of Siemens Atellica IM. Methods A one-year dataset was compiled from the assessment of internal quality control for evaluating the imprecision (expressed as coefficient of variation - CV%) and Bio Rad’s Unity Interlaboratory Program for inaccuracy (quantified as bias%) in TSH test processed across eight modules of Atellica IM (Siemens). The data was categorized into two groups based on QC levels. The TEa utilized in this study was set at 20% according to CLIA standards. Six Sigma metrics were subsequently calculated for each QC level and equipment based on TEa, CV%, and bias%, utilizing the formula Sigma=(TEa - bias%)/CV%. Results Six Sigma values calculated for the QC level 1 ranged from 4.92 to 6.20 across all equipment, while for the QC level 2 Six Sigma varied from 4.87 to 7.59. All values found were classified as Good, Excellent and World Class according to the normalized method decision chart. These results showed that analytical performance of all eight modules of Atellica IM were similar in terms of random and systematic error. Conclusions Six Sigma serves as potent tool for monitoring the analytical performance of the TSH test. It is crucial to independently track different levels of QC in TSH testing for enhanced control over the analytical system. The performance of Siemens TSH test in our laboratory has proven to be very satisfactory.

Full inverse Compton Scattering: Total transfer of energy and momentum from electrons to photons

In this article we discuss a peculiar regime of Compton Scattering that assures the maximum transfer of energy and momentum from free electrons propagating in vacuum to the scattered photons. We name this regime Full Inverse Compton Scattering (FICS) because it is characterized by the maximum and full energy loss of the electrons in collision with photons: up to 100% of the electron kinetic energy is indeed transferred to the photon. In the case of relativistic electrons, characterized by a large Lorentz factor (γ≫1), FICS regime corresponds to an incident photon energy equal to mec22, i.e. approximately 255.5 keV. We interpret such an astonishing result as FICS being the time reversal of direct Compton Scattering of very energetic photons (of energy much greater than mec2) onto atomic electrons. Although the cross section of Compton scattering is decreasing with the energy of the incident photon, making the process less probable with respect to other reactions (pair production, nuclear reactions, etc.) when high energetic photons are bombarding a target, the kinematics straightforwardly implies that the back-scattered photons would have an energy reaching asymptotically mec22. FICS is instead the unique suitable working point in Compton scattering for achieving the total transfer of (kinetic) energy exactly from the electron to the photon. Experiencing transitions from the initial momentum to zero in the laboratory system, in FICS the electron is also subject to very large negative acceleration; this fact can lead to possible experiments of sensing the Unruh temperature and related photon bath. On the other side of the energy dynamic range, low relativistic electrons can be completely stopped by moderate energy photons (tens of keV), leading to full exchange of temperature between electron clouds and photon baths. Cosmic gamma ray sources can be affected in their evolution by this peculiar FICS regime of Compton scattering.

Annual relative performance degradation in photovoltaic solar plants

This study aims to assess annual relative performance degradation σ to be used in the computations of the Levelised Cost of Energy (LCOE) of new plants based on the standard year for weather and solar resource. The assessment is based on the experimental data of power generation, weather, and resource for different years, and simulations of power generation by using the National Renewable Energy Laboratory (NREL) System Advisor Model (SAM) software. The raw data of power generation for 53 different plants spanning about one decade show a σ assessed at less than 0.29%. This makes it reasonable to assume in SAM σ=0% to σ=0.29%. This is less than the default σ=0.5% currently used in SAM based on limited outdated data. The updated performance degradation factor diminished to σ=0-0.29% reduces the computed LCOE for typical new projects in the United States from 2.86 to 2.74-2.80 ¢/kWh. Correction of the σ trends for interannual variability of weather and resource is unnecessary, providing enough years of operation are covered, given the inaccuracies in the model and the supporting data, the mitigation by management of the performance changes, and the complex phenomena correlated to the change of weather and irradiance affecting the power output in different directions. The reduced σ is the result of a significant product improvement over the last decades, especially for large power plants, compared to the plant which provided data for the prior correlation of performance degradation, and much better management and maintenance of the plants.

Toxicity study of Stachybotrys chartarum (CASRN 67892-26-6) administered by inhalation to B6C3F1/N mice.

Stachybotrys chartarum, also known as "black mold," is a cellulolytic saprophyte with a worldwide distribution. Public concern for potential illnesses associated with water-damaged indoor environments has been heightened since the report of pediatric acute idiopathic pulmonary hemorrhage/hemosiderosis cases in the United States and following recent natural disasters. Although mycotoxicosis and pulmonary immunological endpoints have been previously examined, the systemic toxicity following subchronic inhalation of viable S. chartarum remains undercharacterized. To evaluate the toxicological responses to S. chartarum, B6C3F1/N mice were exposed to viable S. chartarum conidia (spores) twice a week for 3 months. All in-life procedures, including inhalation exposure, test article preparation, and hematology analysis, were completed by the National Institute for Occupational Safety and Health (NIOSH, Morgantown, WV). Battelle (Columbus, OH) conducted terminal necropsies, measured terminal body and organ weights, and evaluated gross lesions onsite at the NIOSH facility. Tissue processing and histopathology were completed at Battelle. Genetic toxicology studies on mouse peripheral blood erythrocytes were conducted by Integrated Laboratory Systems, LLC (Research Triangle Park, NC). (Abstract Abridged).

Development of optimal indoor air disinfection and ventilation protocols for airborne infectious diseases.

Since the COVID-19 pandemic, there has been persistent emphasis on the importance of indoor air disinfection and ventilation in isolation units in the hospital environment. Nevertheless, no optimal and concrete disinfection protocol has been proposed to inactivate the viruses as quickly as possible. In this study, we experimentally evaluated various ventilation and disinfection protocols based on the combination of negative-pressure ventilation, ultraviolet (UV) light illumination, and Hypochlorous acid (HOCl) spray against three active virus species in a 3.5 cubic meters isolation unit. This small-size unit has gained attention during the pandemic due to the high demand for compact mobile laboratory systems capable of rapid disease diagnosis. In accordance with the WHO laboratory biosafety guidance, which states that all enclosed units where diagnostic work is conducted must ensure proper ventilation and disinfection activities, we aim to propose virus removal protocols for units compact enough to be installed within a van or deployed outdoor. The results confirmed the superiority (in terms of virus removal rate and time required) of the virus removal methods in the order of UV light, ventilation, and HOCl spray. Ultimately, we propose two optimal protocols: (i) UV light alone for three minutes, and (ii) UV light with ventilation for three minutes, followed by one-minute ventilation only. The time span of three minutes in the latter protocol is based on the clinical practice such that the medical staffs have a sufficient time to process the samples taken in transition to next patient to care.

Remote Laboratory Based on the Internet of Things for E-Learning: A Development Model of Newton’s Law Experiment

Remote laboratory is a development of digital technology to support the quality of learning in this digital era. However, scientific processes often cannot be accommodated in digital spaces such as e-learning. This research highlights a remote laboratory system that can accommodate scientific process improvement in e-learning. The research objective is to develop and determine the performance of the remote laboratory system of Newton’s Law experiment based on IoT for e-learning as an experiment development model. Research methods can be classified into design and development, abbreviated as DDR. The remote laboratory system is designed and developed in six phases. This system is developed by five main components, namely, a photodiode sensor, MCU nodes, motor drivers, stepper motor, and ESP 32 CAM. The results indicate that the remote laboratory system of Newton's law experiment has demonstrated positive performance, and the accuracy and precision of measurement from the remote laboratory system are classified as high. Accordingly, the remote laboratory system of Newton's law experiment can be used as an alternative to support scientific processes in e-learning. It is expected to serve as a guide for virtual laboratory design, enlightening the audience on the potential of this system. It is used extensively for experimental teaching in modern physics education. The success in designing and developing an experimental model of Newton's law by implementing a remote laboratory based on IoT provides a good opportunity to develop various more sophisticated physics experimental systems to support the science process and e-learning.

Manually operated microtube automatic capper/decapper system for clinical laboratory and biological laboratory personnel

Polymerase chain reaction (PCR) is an effective method for diagnosing infectious diseases and has been the primary method throughout the novel coronavirus disease (COVID-19) pandemic. PCR tests (from specimen collection to result acquisition) involve sample pretreatment, nucleic acid extraction, and PCR procedure. Automating the pretreatment process is crucial to mitigate the risk of infection for workers and to reduce the likelihood of sample contamination-triggered misdiagnosis, particularly when handling centrifuge tubes, cryopreservation tubes, and microtubes. Robotic systems have been engineered to automate cell culture and PCR-based diagnosis, predominantly designed for use with screw-capped containers. However, this leaves a notable gap in automation solutions for microtubes equipped with press-type caps. To address this gap, we developed a versatile microtube capper/decapper system. On the other hand, many tasks of manual operation using microtubes, which are routinely conducted in clinical tests and biological experiments, are performed. Compared to screw-type caps for centrifuge and cryopreservation tubes, press-type caps for microtubes present a considerably higher risk of the worker's fingers contacting the inside of the cap and/or generating airborne droplets. Despite the risks of contamination and infection derived from the manual handling of microtube caps, which can compromise diagnosis/experiment accuracy and worker safety, devices for manually opening and closing microtube caps without direct contact remain lacking. Therefore, leveraging the technology from the developed versatile microtube capper/decapper system for laboratory automation, we created a manually operated microtube equipped with an automatic capper/decapper system tailored for personnel in clinical and biological laboratories.In this study, we first examined the required specifications and prerequisites for a manual microtube capper/decapper and clarified the operating methods, operating procedures, operation environment, device size, accompanying functions, etc. Based on the required specifications and preconditions, we proceeded with the mechanical and control design of the conceptual model, manufactured a prototype, and confirmed its basic functions and performance. The compliant to the required specifications and preconditions and the usefulness of the proposed manual microtube capper/decapper were validated through various experiments and demonstrations. Using the proposed microtube capper/decapper, even small-scale operations, which are challenging to streamline, can be performed nearly as efficiently as full manual operations. Although operation time was not reduced, the ability to open and close microtubes without manual contact is crucial for improving diagnostic and experimental accuracy and for reducing the burden on and enhancing the safety of laboratory personnel. Because microtubes are used in various clinical tests and biological experiments, we believe that the proposed system can markedly reduce the workload for personnel across numerous clinical and biological laboratories.