Creation of an international laboratory network towards global microplastics monitoring harmonisation.

Infrastructure is often a limiting factor in microplastics research impacting the production of scientific outputs and monitoring data. International projects are therefore required to promote collaboration and development of national and regional scientific hubs. The Commonwealth Litter Programme and the Ocean Country Partnership Programme were developed to support Global South countries to take actions on plastics entering the oceans. An international laboratory network was developed to provide the infrastructure and in country capacity to conduct the collection and processing of microplastics in environmental samples. The laboratory network was also extended to include a network developed by the University of East Anglia, UK. All the laboratories were provided with similar equipment for the collection, processing and analysis of microplastics in environmental samples. Harmonised protocols and training were also provided in country during laboratory setup to ensure comparability of quality-controlled outputs between laboratories. Such large networks are needed to produce comparable baseline and monitoring assessments.

A 3-D interactive microbiology laboratory via virtual reality for enhancing practical skills.

Virtual Reality (VR) laboratories are a new pedagogical approach to support psychomotor skills development in undergraduate programmes to achieve practical competency. VR laboratories are successfully used to carry out virtual experiments in science courses and for clinical skills training in professional courses. This paper describes the development and evaluation of a VR-based microbiology laboratory on Head-Mounted Display (HMD) for undergraduate students. Student and faculty perceptions and expectations were collected to incorporate into the laboratory design. An interactive 3-dimensional VR laboratory with a 360° view was developed simulating our physical laboratory setup. The laboratory environment was created using Unity with the (created) necessary assets and 3D models. The virtual laboratory was designed to replicate the physical laboratory environment as suggested by the students and faculty. In this VR laboratory, six microbiology experiments on Gram staining, bacterial streaking, bacterial motility, catalase test, oxidase test and biochemical tests were placed on the virtual platform. First-year biomedical science students were recruited to evaluate the VR laboratory. Students' perception of the virtual laboratory was positive and encouraging. About 70% of the students expressed they felt safe using the VR laboratory and that it was engaging. They felt that the VR laboratory provided an immersive learning experience. They appreciated that they could repeat each experiment multiple times without worrying about mistakes or mishaps. They could personalise their learning by concentrating on the specific experiments. Our in-house VR-based microbiology laboratory was later extended to other health professions programmes teaching microbiology.

Connecting lab, clinic, and community.

Despite great progress in biomedical research, the health of the US population appears to be getting worse. The United States spends substantially more per capita on health care than other wealthy countries, yet US life expectancy ranks low among its peers. Mortality rates have been increasing for segments of the US population, including those in rural areas, certain racial and ethnic groups, and individuals with low socioeconomic status. A whole-of-society approach is required to address such negative trends and disparities, and the biomedical research enterprise must play a key role.

International assessment results on non-NIOSH approved respirators by the national personal protective technology laboratory (NPPTL): a data note.

OBJECTIVES: Due to the COVID-19 pandemic and the shortage of the National Institute for Occupational Safety & Health (NIOSH)-approved N95 respirators, the Food and Drug Administration granted an Emergency Use Authorization to allow the use of non-NIOSH approved respirators provided that these respirators must undergo tests by a protocol of TEB-APR-STP-0059, similar methods of NIOSH standard testing procedure. This initiative safeguards the quality of respirators and the effectiveness of occupational protection. The dataset of all the testing results could benefit further analysis of COVID-19 infection rates in relation to different types of N95 respirators used and identify potential correlations of various test parameters in the testing system for validation. The analysis enhances understanding of the quality, effectiveness, and performance of N95 respirators in the prevention of respiratory infectious transmission and develops improved occupational safety measures. DATA DESCRIPTION: The dataset was transformed, transcribed, and compiled from the official testing data of non-NIOSH-approved N95 respirators reported in the NIOSH website under the Centers for the Disease Control and Prevention in the United States. The dataset included details of 7,413 testing results of N95 respirators (manufacturer, model, and maximum and minimum filtration efficiency) and test parameters (flow rate, initial filter resistance, and initial percent leakage). Supplementary items were added to increase the availability of data analysis and enhance the interpretability of the assessments of the quality of N95 respirators.

Limited availability of methods for the detection of xenotransplantation-relevant viruses in veterinary laboratories.

BACKGROUND: The German Xenotransplantation Consortium is in the process to prepare a clinical trial application (CTA) on xenotransplantation of genetically modified pig hearts. In the CTA documents to the central and national regulatory authorities, that is, the European Medicines Agency (EMA) and the Paul Ehrlich Institute (PEI), respectively, it is required to list the potential zoonotic or xenozoonotic porcine microorganisms including porcine viruses as well as to describe methods of detection in order to prevent their transmission. The donor animals should be tested using highly sensitive detection systems. I would like to define a detection system as the complex including the actual detection methods, either PCR-based, cell-based, or immunological methods and their sensitivity, as well as sample generation, sample preparation, sample origin, time of sampling, and the necessary negative and positive controls. Lessons learned from the identification of porcine cytomegalovirus/porcine roseolovirus (PCMV/PRV) in the xenotransplanted heart in the recipient in the Baltimore study underline how important such systems are. The question is whether veterinary laboratories can supply such assays. METHODS: A total of 35 veterinary laboratories in Germany were surveyed for their ability to test for selected xenotransplantation-relevant viruses, including PCMV/PRV, hepatitis E virus, and porcine endogenous retrovirus-C (PERV-C). As comparison, data from Swiss laboratories and a laboratory in the USA were analyzed. Furthermore, we assessed which viruses were screened for in clinical and preclinical trials performed until now and during screening of pig populations. RESULTS: Of the nine laboratories that provided viral diagnostics, none of these included all potential viruses of concern, indeed, the most important assays confirmed in recent human trials, antibody detection of PCMV/PRV and screening for PERV-C were not available at all. The situation was similar in Swiss and US laboratories. Different viruses have been tested for in first clinical and preclinical trials performed in various countries. CONCLUSION: Based on these results it is necessary to establish special virological laboratories able to test for all xenotransplantation-relevant viruses using validated assays, optimally in the xenotransplantation centers.

A CURE Lab in Introductory Biology at a Regional Comprehensive University Negatively Impacts Student Success in the Associated Lecture Course Among Students from Groups Underrepresented in Science.

Course-based undergraduate research experiences (CUREs) have been proposed as a mechanism to democratize access to the benefits of apprentice-style scientific research to a broader diversity of students, promoting inclusivity and increasing student success and retention. As we evaluate CUREs, it is essential to explore their effectiveness within the environments of regional comprehensive universities and community colleges, because they are important access points for a wide variety of students. It is also important to address the potential influence of volunteer bias, where students can opt to enroll in either the CURE or a traditional lab, on the outcomes of CUREs. We evaluated a CURE at a regional comprehensive university under conditions both with and without volunteer bias. We find that nonvolunteer students report a lower sense of discovery and relevance of the CURE compared with students who volunteered for the course. Importantly, we also find that our replacement of the traditional lab class with a CURE resulted in lower scores on exams in the associated lecture course among students who are both BIPOC and Pell eligible. We call for additional research on the effects of CUREs at nonresearch-intensive institutions and without volunteer bias, to better understand the impact of these classes.

Technical and health governance aspects of the external quality assessment system for classical and new psychoactive substances analysis testing in blood.

New psychoactive substances (NPS) are uncontrolled analogues of existing drugs or newly synthesized chemicals that exhibit psychopharmacological effects. Due to their diverse nature, composition, and increasing prevalence, they present significant challenges to the healthcare system and drug control policies. In response, healthcare system laboratories have developed analytical methods to detect NPS in biological samples. As a Regional Reference Centre, the Sicilian CRQ Laboratory (Regional Laboratory for Quality Control) developed and conducted an External Quality Assessment (EQA) study to assess, in collaboration with the Istituto Superiore di Sanità (ISS), the ability of different Italian laboratories to identify NPS and traditional drugs of abuse (DOA) in biological matrices. Two blood samples were spiked with substances from various drug classes, including synthetic cannabinoids, cathinones, synthetic opiates, and benzodiazepines, at concentrations ranging from 2 to 10 ng/mL. The blood samples were freeze-dried to ensure the stability of DOA and NPS. Twenty-two laboratories from the Italian healthcare system participated in this assessment. The information provided by the laboratories during the registration in an in-house platform included a general description of the laboratory, analytical technique, and the chosen panels of analytes. The same platform was employed to collect and statistically analyze the data and record laboratory feedback and comments. The evaluation of the results revealed that the participating laboratories employed three different techniques for analyzing the samples: GC-MS, LC-MS, and immunoenzymatic methods. Approximately 90 % of the laboratories utilized LC-MS techniques. Around 40 % of false negative results were obtained, with the worst results in the identification of 5-chloro AB PINACA. The results showed that laboratories that used LC-MS methods obtained better specificity and sensitivity compared to the laboratories using other techniques. The results obtained from this first assessment underscore the importance of external quality control schemes in identifying the most effective analytical techniques for detecting trace molecules in biological matrices. Since the judicial authorities have not yet established cut-off values for NPS, this EQA will enable participating laboratories to share their analytical methods and expertise, aiming to establish common criteria for NPS identification.

Lighting pathways to success in STEM: a virtual Laboratory Meeting Programme (LaMP) mutually benefits mentees and host laboratories.

Developing robust professional networks can help shape the trajectories of early career scientists. Yet, historical inequities in science, technology, engineering, and mathematics (STEM) fields make access to these networks highly variable across academic programmes, and senior academics often have little time for mentoring. Here, we illustrate the success of a virtual Laboratory Meeting Programme (LaMP). In this programme, we matched students (mentees) with a more experienced scientist (mentors) from a research group. The mentees then attended the mentors' laboratory meetings during the academic year with two laboratory meetings specifically dedicated to the mentee's professional development. Survey results indicate that mentees expanded their knowledge of the hidden curriculum as well as their professional network, while only requiring a few extra hours of their mentor's time over eight months. In addition, host laboratories benefitted from mentees sharing new perspectives and knowledge in laboratory meetings. Diversity of the mentees was significantly higher than the mentors, suggesting that the programme increased the participation of traditionally under-represented groups. Finally, we found that providing a stipend was very important to many mentees. We conclude that virtual LaMPs can be an inclusive and cost-effective way to foster trainee development and increase diversity within STEM fields with little additional time commitment.

The digital lab manager: Automating research support.

Laboratory management automation is essential for achieving interoperability in the domain of experimental research and accelerating scientific discovery. The integration of resources and the sharing of knowledge across organisations enable scientific discoveries to be accelerated by increasing the productivity of laboratories, optimising funding efficiency, and addressing emerging global challenges. This paper presents a novel framework for digitalising and automating the administration of research laboratories through The World Avatar, an all-encompassing dynamic knowledge graph. This Digital Laboratory Framework serves as a flexible tool, enabling users to efficiently leverage data from diverse systems and formats without being confined to a specific software or protocol. Establishing dedicated ontologies and agents and combining them with technologies such as QR codes, RFID tags, and mobile apps, enabled us to develop modular applications that tackle some key challenges related to lab management. Here, we showcase an automated tracking and intervention system for explosive chemicals as well as an easy-to-use mobile application for asset management and information retrieval. Implementing these, we have achieved semantic linking of BIM and BMS data with laboratory inventory and chemical knowledge. Our approach can capture the crucial data points and reduce inventory processing time. All data provenance is recorded following the FAIR principles, ensuring its accessibility and interoperability.

The effects and benefits of a latent print AFIS deferral policy.

Forensic laboratories in the United States had an estimated backlog of 570,100 requests for all forensic services at the end of 2014. Latent print requests represented approximately 12% of that total backlog [1, NIJ 2019]. With ever-increasing demands and backlogs, a review of laboratory or section practices becomes vital to operations. Work process and business practice changes can increase efficiencies and result in the reduction of casework backlogs and turnaround times. The automated fingerprint identification system (AFIS) deferral policy implemented by the Latent Print Comparative Section (LPCS) of the Phoenix Police Department Laboratory Services Bureau (PPD LSB) was employed to address the latent print backlog. Five years of multiple AFIS request types were analyzed to demonstrate the positive effects and benefits of such policies, including a 26.32% decrease in turnaround time over the data collection and analysis period and a 90.96% reduction in backlogged requests for one year.

The SkillsCenter: Creating scalable research opportunities for STEM students.

Undergraduate students generally need laboratory skills and experience to be accepted into a position within an academic lab or a company. However, those settings are traditionally where students would develop that necessary expertise. We developed a laboratory course paradigm to equip students with the skills they need to access future opportunities.

To probe outbreak, BSL-3 labs plan to infect cows with flu virus.

Novel effort comes as study finds key receptor for avian flu virus in udders, where the virus flourishes.

Developing a competency assessment framework for medical laboratory technologists in primary healthcare settings in India.

Medical Laboratory Technologists play a significant role in delivering quality laboratory Services. The competency assessment of MLTs is a critical driver for enhancing primary healthcare performance. While several countries have developed competency frameworks for MLTs in primary care, such frameworks are lacking in the Indian context. This study aimed to create a competency assessment framework to assess the competencies of MLTs (Medical Laboratory Technologists) working in Indian public primary healthcare facilities. The research followed a five-step process, starting with a review of existing literature on MLTs' competencies in primary healthcare. Expert consultations were then conducted to establish a consensus on these competencies. Following this, assessment tools were developed based on the literature review and expert input. Another round of expert consultations was held to ensure agreement on the assessment tools. Finally, the developed tools were tested in a public primary healthcare facility. The literature review identified 86 competencies across 11 domains: safe work practices, data/ sample collection, specimen preparation equipment instruments and regiments, assessment and analysis, recording and reporting, infection control, quality management, critical thinking, communication and interaction, and professional practice. Expert consultations resulted in the consensus on ninety-five competencies in ten domains of MLTs in primary healthcare settings. Competencies for each domain were discussed and agreed upon. A competency assessment tool was finalized after unanimous agreement among experts. The competency assessment tool was later finalized after pre-testing on MLTs in a clinical laboratory part of a public primary health care facility. This study successfully developed a competency assessment framework for in-service MLTs in Indian public primary healthcare settings. The framework encompasses ninety-five competencies covering ten domains of MLT responsibilities. It provides a comprehensive tool for assessing MLT's competencies and identifying competency gaps. The framework can be used to capacitate MLTs, improve their performance in primary healthcare settings, and enhance the delivery of healthcare services in India. It bridges a critical gap in the existing literature and can aid as a valuable resource for policymakers, educators, and healthcare professionals involved in practicing medical laboratory Services in primary healthcare settings.

Reliability Evaluation for Continuous-Wave Functional Near-Infrared Spectroscopy Systems: Comprehensive Testing from Bench Characterization to Human Test.

In recent years, biomedical optics technology has developed rapidly. The current widespread use of biomedical optics was made possible by the invention of optical instruments. The advantages of being non-invasive, portable, effective, low cost, and less susceptible to system noise have led to the rapid development of functional near-infrared spectroscopy (fNIRS) technology for hemodynamics detection, especially in the field of functional brain imaging. At the same time, laboratories and companies have developed various fNIRS-based systems. The safety, stability, and efficacy of fNIRS systems are key performance indicators. However, there is still a lack of comprehensive and systematic evaluation methods for fNIRS instruments. This study uses the fNIRS system developed in our laboratory as the test object. The test method established in this study includes system validation and performance testing to comprehensively assess fNIRS systems' reliability. These methods feature low cost and high practicality. Based on this study, existing or newly developed systems can be comprehensively and easily evaluated in the laboratory or workspace.

An Overview on the Big Players in Bone Tissue Engineering: Biomaterials, Scaffolds and Cells.

Presently, millions worldwide suffer from degenerative and inflammatory bone and joint issues, comprising roughly half of chronic ailments in those over 50, leading to prolonged discomfort and physical limitations. These conditions become more prevalent with age and lifestyle factors, escalating due to the growing elderly populace. Addressing these challenges often entails surgical interventions utilizing implants or bone grafts, though these treatments may entail complications such as pain and tissue death at donor sites for grafts, along with immune rejection. To surmount these challenges, tissue engineering has emerged as a promising avenue for bone injury repair and reconstruction. It involves the use of different biomaterials and the development of three-dimensional porous matrices and scaffolds, alongside osteoprogenitor cells and growth factors to stimulate natural tissue regeneration. This review compiles methodologies that can be used to develop biomaterials that are important in bone tissue replacement and regeneration. Biomaterials for orthopedic implants, several scaffold types and production methods, as well as techniques to assess biomaterials' suitability for human use-both in laboratory settings and within living organisms-are discussed. Even though researchers have had some success, there is still room for improvements in their processing techniques, especially the ones that make scaffolds mechanically stronger without weakening their biological characteristics. Bone tissue engineering is therefore a promising area due to the rise in bone-related injuries.

Bringing Real Inquiry-Based Science to Diverse Secondary Educational Environments: A Virtual Zebrafish Laboratory to Investigate Environmental Health.

The goal of the University of Wisconsin-Milwaukee WInSTEP SEPA program is to provide valuable and relevant research experiences to students and instructors in diverse secondary educational settings. Introducing an online experience allows the expansion of a proven instructional research program to a national scale and removes many common barriers. These can include lack of access to zebrafish embryos, laboratory equipment, and modern classroom facilities, which often deny disadvantaged and underrepresented students from urban and rural school districts valuable inquiry-based learning opportunities. An online repository of zebrafish embryo imagery was developed in the Carvan laboratory to assess the effects of environmental chemicals. The WInSTEP SEPA program expanded its use as an accessible online tool, complementing the existing classroom experience of our zebrafish module. This virtual laboratory environment contains images of zebrafish embryos grown in the presence of environmental toxicants (ethanol, caffeine, and nicotine), allowing students to collect data on 19 anatomical endpoints and generate significant amounts of data related to developmental toxicology and environmental health. This virtual laboratory offers students and instructors the choice of data sets that differ in the independent variables of chemical concentration and duration of postfertilization exposure. This enables students considerable flexibility in establishing their own experimental design to match the curriculum needs of each instructor.

Importance of Patient History in Artificial Intelligence-Assisted Medical Diagnosis: Comparison Study.

Background: Medical history contributes approximately 80% to a diagnosis, although physical examinations and laboratory investigations increase a physician's confidence in the medical diagnosis. The concept of artificial intelligence (AI) was first proposed more than 70 years ago. Recently, its role in various fields of medicine has grown remarkably. However, no studies have evaluated the importance of patient history in AI-assisted medical diagnosis. Objective: This study explored the contribution of patient history to AI-assisted medical diagnoses and assessed the accuracy of ChatGPT in reaching a clinical diagnosis based on the medical history provided. Methods: Using clinical vignettes of 30 cases identified in The BMJ, we evaluated the accuracy of diagnoses generated by ChatGPT. We compared the diagnoses made by ChatGPT based solely on medical history with the correct diagnoses. We also compared the diagnoses made by ChatGPT after incorporating additional physical examination findings and laboratory data alongside history with the correct diagnoses. Results: ChatGPT accurately diagnosed 76.6% (23/30) of the cases with only the medical history, consistent with previous research targeting physicians. We also found that this rate was 93.3% (28/30) when additional information was included. Conclusions: Although adding additional information improves diagnostic accuracy, patient history remains a significant factor in AI-assisted medical diagnosis. Thus, when using AI in medical diagnosis, it is crucial to include pertinent and correct patient histories for an accurate diagnosis. Our findings emphasize the continued significance of patient history in clinical diagnoses in this age and highlight the need for its integration into AI-assisted medical diagnosis systems.