Laboratory Resources Research Articles

OCTOPUS: operation control system for task optimization and job parallelization via a user-optimal scheduler

The material acceleration platform, empowered by robotics and artificial intelligence, is a transformative approach for expediting material discovery processes across diverse domains. However, the development of an operating system for material acceleration platform faces challenges in simultaneously managing diverse experiments from multiple users. Specifically, when it is utilized by multiple users, the overlapping challenges of experimental modules or devices can lead to inefficiencies in both resource utilization and safety hazards. To overcome these challenges, we present an operation control system for material acceleration platform, namely, OCTOPUS, which is an acronym for operation control system for task optimization and job parallelization via a user-optimal scheduler. OCTOPUS streamlines experiment scheduling and optimizes resource utilization through integrating its interface node, master node and module nodes. Leveraging process modularization and a network protocol, OCTOPUS ensures the homogeneity, scalability, safety and versatility of the platform. In addition, OCTOPUS embodies a user-optimal scheduler. Job parallelization and task optimization techniques mitigate delays and safety hazards within realistic operational environments, while the closed-packing schedule algorithm efficiently executes multiple jobs with minimal resource waste. Copilot of OCTOPUS is developed to promote the reusability of OCTOPUS for potential users with their own sets of lab resources, which substantially simplifies the process of code generation and customization through GPT recommendations and client feedback. This work offers a solution to the challenges encountered within the platform accessed by multiple users, and thereby will facilitate its widespread adoption in material development processes.

Evaluating the Teaching of Physical Science Practical Work at a Selected Resource-Constrained Secondary School in Rundu Circuit, Kavango East Region

This study evaluated the teaching of Physical Science practical work at a resource-constrained secondary school in the Rundu Circuit, Kavango East region in Namibia. The research objectives were to assess the impact of practical work on learners’ academic performance in a resource-constrained community, identify the challenges faced by both teachers and learners in conducting practical activities, and propose strategies to address these challenges and improve the overall quality of science education. A qualitative research design was employed, with data collected through semi-structured interviews involving four Physical Science teachers. The interviews were analyzed using thematic analysis, with themes aligned to the research objectives. The findings revealed that the state of science practical work was poor due to a lack of sufficient laboratory equipment and resources. Other significant challenges identified included limited laboratory space, inadequate time allocation, overcrowded classrooms, a lack of motivation among learners, and insufficient background knowledge on practical work for learners. These challenges collectively impeded effective teaching and learning of science practical work. To overcome these issues, the study recommended providing adequate laboratory materials and constructing an additional laboratory to alleviate overcrowding. The study also further recommended the employment of laboratory technicians to assist teachers in organizing, planning and conducting practical activities more efficiently. Furthermore, the study suggested forming partnerships between schools to share laboratory facilities, as per Key Area 7 of the National Standard and Performance Indicators for Schools in Namibia, which emphasizes the importance of collaborative linkages within educational communities. By implementing these strategies, it was concluded that the quality of Physical Science practical work in resource-constrained schools could be significantly enhanced, leading to improved learner outcomes.

Molecular Indicator for Distinguishing Multi-drug-Resistant Tuberculosis from Drug Sensitivity Tuberculosis and Potential Medications for Treatment.

The issue of multi-drug-resistant tuberculosis (MDR-TB) presents a substantial challenge to global public health. Regrettably, the diagnosis of drug-resistant tuberculosis (DR-TB) frequently necessitates an extended period or more extensive laboratory resources. The swift identification of MDR-TB poses a particularly challenging endeavor. To identify the biomarkers indicative of multi-drug resistance, we conducted a screening of the GSE147689 dataset for differentially expressed genes (DEGs) and subsequently conducted a gene enrichment analysis. Our analysis identified a total of 117 DEGs, concentrated in pathways related to the immune response. Three machine learning methods, namely random forest, decision tree, and support vector machine recursive feature elimination (SVM-RFE), were implemented to identify the top 10 genes according to their feature importance scores. A4GALT and S1PR1, which were identified as common genes among the three methods, were selected as potential molecular markers for distinguishing between MDR-TB and drug-susceptible tuberculosis (DS-TB). These markers were subsequently validated using the GSE147690 dataset. The findings suggested that A4GALT exhibited area under the curve (AUC) values of 0.8571 and 0.7121 in the training and test datasets, respectively, for distinguishing between MDR-TB and DS-TB. S1PR1 demonstrated AUC values of 0.8163 and 0.5404 in the training and test datasets, respectively. When A4GALT and S1PR1 were combined, the AUC values in the training and test datasets were 0.881 and 0.7551, respectively. The relationship between hub genes and 28 immune cells infiltrating MDR-TB was investigated using single sample gene enrichment analysis (ssGSEA). The findings indicated that MDR-TB samples exhibited a higher proportion of type 1T helper cells and a lower proportion of activated dendritic cells in contrast to DS-TB samples. A negative correlation was observed between A4GALT and type 1T helper cells, whereas a positive correlation was found with activated dendritic cells. S1PR1 exhibited a positive correlation with type 1T helper cells and a negative correlation with activated dendritic cells. Furthermore, our study utilized connectivity map analysis to identify nine potential medications, including verapamil, for treating MDR-TB. In conclusion, our research identified two molecular indicators for the differentiation between MDR-TB and DS-TB and identified a total of nine potential medications for MDR-TB.

Strengthening anthrax outbreak response and preparedness: simulation and stakeholder education in Namisindwa district, Uganda

BackgroundAnthrax is a zoonotic disease caused by Bacillus anthracis that poses a significant threat to both human health and livestock. Effective preparedness and response to anthrax outbreak at the district level is essential to mitigate the devastating impact of the disease to humans and animals. The current diseaae surveillance in animals and humans uses two different infrastructure systems with online platform supported by established diagnostic facilities. The differences in surveillance systems affect timely outbreak response especially for zoonotic diseases like anthrax. We therefore aimed to assess the feasibility of implementing a simulation exercise for a potential anthrax outbreak in a local government setting and to raise the suspicion index of different district stakeholders for a potential anthrax outbreak in Namisindwa District, Uganda.MethodsWe conducted a field-based simulation exercise and a health education intervention using quantitative data collection methods. The study participants mainly members of the District Taskforce (DTF) were purposively selected given their role(s) in disease surveillance and response at the sub-national level. We combined 26 variables (all dichotomized) assessing knowledge on anthrax and knowledge on appropriate outbreak response measures into an additive composite index. We then dichotomized overall score based on the 80% blooms cutoff i.e. we considered those scoring at least 80% to have high knowledge, otherwise low. We then assessed the factors associated with knowledge using binary logistic regression with time as a proxy for the intervention effect. Odds ratios (ORs) and 95% Confidence intervals (95%CI) have been reported.ResultsThe overall district readiness score was 35.0% (24/69) and was deficient in the following domains: coordination and resource mobilization (5/16), surveillance (5/11), laboratory capacity (3/10), case management (4/7), risk communications (4/12), and control measures (4/13). The overall community readiness score was 7 out of 32 (22.0%). We noted poor scores of readiness in all domains except for case management (2/2). The knowledge training did not have an effect on the overall readiness score, but improved specific domains such as control measures. Instead tertiary education was the only independent predictor of higher knowledge on anthrax and how to respond to it (OR = 1.57, 95% CI = 1.07–2.31). Training did not have a significant association with overall knowledge improvement but had an effect on several individual knowledge aspects.ConclusionWe found that the district’s preparedness to respond to a potential anthrax outbreak was inadequate, especially in coordination and mobilisation, surveillance, case management, risk communication and control measures. The health education training intervention showed increased knowledge levels compared to the pre-test and post-test an indicator that the health education sessions could increase the index of suspicion. The low preparedness underscores the urgency to strengthen anthrax preparedness in the district and could have implications for other districts. We deduce that trainings of a similar nature conducted regularly and extensively would have better effects. This study’s insights are valuable for improving anthrax readiness and safeguarding public and animal health in similar settings.

Does the Third Sputum Exam has an Added Value in the Diagnosis of Pulmonary Tuberculosis?

Abstract Introduction/Objective Introduction: Current practice of examining three sputum for the diagnosis of pulmonary tuberculosis (PTB) has tended to overburden the already scarce human resources in all-purpose laboratories, and to increase the turn- around- time for patients seeking treatment. Therefore, assessing the added value of the third sputum in the diagnosis of PTB in resource-limited country with less functional External Quality Assurance (EQA) system is critical. Methods/Case Report Materials and methods: Data on patients diagnosed with smear-positive PTB during 2012- 2016 was collected retrospectively from laboratory register of nine hospitals in Eritrea. The data was extracted and analyzed for incremental yield of three sputum samples. Results (if a Case Study enter NA) Results: Data from 2,484 microscopically confirmed acid-fast bacilli (AFB) smear positive PTB patients were reviewed. AFB was detected in the first sputum in 87.5% of patients, and 99.1% for the combined first and second sputum specimens. The incremental yield of the third sputum specimen as a diagnostic value was only 0.9%. No significant variation was detected by region, residence, gender or HIV. Background information Number of cases Percent Region Maekel 649 26.10% Anseba 293 11.80% Gash-Barka 815 32.80% Debub 297 12.00% Northern Red Sea 337 13.60% Southern Red Sea 93 3.70% Sex Male 1,251 50.40% Female 1,233 49.60% Residence Urban 1,296 52.20% Rural 1,188 47.80% Age group <15 35 1.40% 15 + 2,449 98.60% Total 2,484 100 Conclusion Conclusion: The added value of the third sputum is so minimal that its omission will reduce patient visits, workload and cost for patients and health services. Therefore, even countries like Eritrea, with limited EQA, should consider limiting the number of sputum examinations to improve quality.

Optimizing Science Process Skills Through the Use of Simple Steam Power Plant Models in Middle School Physics Education

This study aims to evaluate the effectiveness of using a simple steam power plant prop in improving the science process skills of eighth grade students at Pesantren Guppi Samata Junior High School. The importance of this study lies in the need for innovative teaching methods that can improve students' engagement and understanding in science education, especially considering the limitations of traditional laboratory resources. A quasi-experimental design with a pretest-posttest control group was used, involving purposive sampling of two groups: an experimental group that used a simple steam power plant prop and a control group that did not use the prop. Data were collected through a structured multiple-choice test that assessed various aspects of science process skills and were analyzed using descriptive statistics, normality tests, and independent t-tests. The findings showed that the experimental group significantly outperformed the control group in the posttest (p = 0.000), indicating that the simple steam power plant prop effectively facilitates better understanding of scientific concepts through hands-on learning. The novelty of this study lies in its focus on the use of simple and accessible teaching props to improve practical skills in science education. The results of this study suggest that incorporating these tools into teaching can improve educational outcomes, and offer a valuable resource for educators facing limited laboratory facilities.

Optimizing Science Laboratory Management for Enhanced Student Learning Outcomes

Background: Laboratory management is vital for improving science education, yet many institutions struggle to optimize these resources. Specific Background: Effective management enhances student interest and practical skills in natural sciences, but inadequate management leads to underutilization of laboratory facilities, negatively impacting learning experiences. Knowledge Gap: While the importance of laboratory management is acknowledged, studies on specific practices and their effects on student engagement in natural science remain limited. Aims: This study explores management practices in a natural science laboratory and their implications for educational outcomes. Results: Findings reveal that planning, organization, implementation, supervision, and evaluation are poorly executed, resulting in incomplete documentation and minimal follow-up. Although practical activities spark student interest, systemic issues hinder their effectiveness. Novelty: The research provides new insights into the operational challenges of laboratory management in a specific educational context. Implications: Enhanced management strategies are necessary to improve resource allocation and laboratory utilization, fostering student engagement and skill development in natural sciences. Highlights : Critical Role: Effective laboratory management enhances student interest and practical skills in science education. Systemic Issues: Inadequate management practices lead to underutilization of laboratory resources, negatively impacting learning experiences. Need for Improvement: Enhanced strategies are essential for optimizing resource allocation and fostering student engagement in natural sciences. Keywords: laboratory management, science education, student engagement, practical skills, educational outcomes

Reducing unnecessary outpatient group and screen testing at a regional cancer center.

Unnecessary group and screens (G&S) can lead to unnecessary antibody investigations, use of technologist time, and laboratory resources. A baseline audit at our institution identified that 25% of G&S from the cancer center were unnecessary. We aimed to reduce the ratio of monthly G&S to CBC samples processed from the cancer center by 10% (from 0.034 to 0.031) by January 2024. This represents an interrupted time series design from November 2022 to January 2024. Using Plan Do Study Act (PDSA) cycles, we aimed to increase the use of an existing reflex testing system, termed "do not test." When this option is selected, the blood bank will only process the G&S sample if specific CBC criteria are met (e.g., hemoglobin <9.0 g/dL). Educational sessions increased awareness of this feature and sought feedback from end-users on its usability. With feedback, the design was updated to include a modifiable hemoglobin threshold for G&S testing, automatic re-selection of the "do not test" feature for future G&S orders, and aesthetic changes to make the feature more visible. The percentage of samples with "do not test" selected increased from 7.2% to 63.0% (p < .0001) and the ratio of G&S to CBC specimens improved from 0.034 to 0.028, exceeding the target of 0.031. We noted an improvement in the appropriateness of G&S orders from 75% at baseline (n = 20) to 97.5% (n = 80) post intervention (p = .003). We describe an effective strategy to improve G&S utilization at our institution's cancer center using a reflex testing system.

Revisiting the Environmental Impact of Inappropriate Clinical Laboratory Testing: A Comprehensive Overview of Sustainability, Economic, and Quality of Care Outcomes.

The use of laboratory resources has seen a substantial increase in recent years, driven by automation and emerging technologies. However, inappropriate use of laboratory testing, encompassing both overuse and underuse, poses significant challenges. This review explores the complex interplay between patient safety, economic, and environmental factors-known as the "triple bottom line" or "3Ps" for people, profit, and planet-associated with inappropriate use of laboratory resources. The first part of the review outlines the impact of inappropriate laboratory testing on patient safety and economic outcomes. Then the review examines the available literature on the environmental impact of laboratory activities. Several practical solutions for mitigating the environmental impact of laboratories are discussed. Finally, this review emphasizes how decreasing unnecessary laboratory testing results in cost savings and environmental benefits, as evidenced by interventional studies, without compromising patient safety. The implementation of sustainable practices in laboratories can create a virtuous circle in which reduced testing enhances cost-efficiency, reduces the environmental footprint, and ensures patient safety, thereby benefiting the 3Ps. This review highlights the critical need for appropriate laboratory resource utilization in achieving sustainability in healthcare.

Hardware Testing Methodologies for Wide Bandgap High-Power Converters

Wide bandgap (WBG) power semiconductor devices are increasingly replacing silicon IGBTs in high-power and high-voltage power electronics applications. However, there is a significant gap in the literature regarding efficient testing methodologies for high-power and high-voltage converters under constrained laboratory resources. This paper addresses this gap by presenting comprehensive, hardware-focused testing methodologies for high-power and high-voltage WBG power semiconductor-based converter bring-up before the control validation phase steps in. The proposed methods enable thorough evaluation and validation of converter hardware, including device switching characteristics, driving circuit functionality, thermal management performance, insulation integrity, and sustained operation at full power. We utilized the double pulse test (DPT) to characterize switching performance in a two-level phase leg configuration, extract circuit parasitics, and validate magnetic components. The DPT was further applied to optimize gate driving circuits, validate overcurrent protection mechanisms, and measure device on-resistance. Additionally, a multicycle test was introduced to rapidly assess steady-state converter performance and estimate efficiency. Recognizing the critical role of thermal management in high-power converters, our methodologies extend to the experimental extraction of key thermal parameters—such as junction-to-ambient thermal resistance and thermal capacitance—via a heat loss injection method. A correlation method between temperature sensor measurements and junction temperature is presented to enhance the accuracy of device temperature monitoring during tests. To ensure reliability and safety, dielectric withstand tests and partial discharge measurements were conducted at both component and converter levels under conventional 60 Hz sinusoidal and high-frequency PWM waveforms. Finally, we highlight the importance of testing converters under full voltage, current, and thermal conditions through power circulating tests with minimal power consumption, applicable to both non-isolated and isolated high-power converters. Practical examples are provided to demonstrate the effectiveness and applicability of these hardware testing methodologies.

CHALLENGES OF MEDICAL EDUCATION IN SIALKOT: A COMPARATIVE STUDY OF PUBLIC AND PRIVATE MEDICAL COLLEGES

Background: Medical education in Pakistan is hindered by infrastructure deficiencies, outdated curricula, shortage of qualified faculty, and limited clinical exposure, which collectively impact the quality of healthcare training. This study highlights challenges in medical colleges of Sialkot affecting educational standards and compares the challenges faced by medical education between public and private medical colleges, focusing on infrastructure, curriculum, faculty quality, clinical training, and assessment methodologies. Methods: An analytical cross-sectional study was conducted in public and private medical colleges of Sialkot from October 2023 to March 2024, after approval by the Institutional Review Board of Sialkot Medical College. Data from 200 medical students were collected via convenience sampling and analyzed using a questionnaire covering infrastructure, curriculum, faculty, clinical exposure, and assessments. SPSS-21 and Chi-square tests were used for analysis. Results: A total of 200 students participated from the public and private sectors. Notable differences were observed in laboratory resources, curriculum transparency, and problem-based learning availability, with public colleges generally faring better. However, critical thinking promotion, student-teacher interaction, and clinical rotations did not significantly differ between the two sectors. Conclusions: The study identified shared and distinct challenges in medical education within public and private sector medical colleges of Sialkot. Public colleges showed superior resource allocation and curriculum transparency, yet both sectors need improvements in faculty development and clinical training. These findings suggest targeted reforms to enhance standards of medical education and outcomes in Pakistan. Pak J Physiol 2024;20(3):77–80, DOI: https://doi.org/10.69656/pjp.v20i3.1653

The Analytical Performance Evaluation of Routine Clinical Chemistry Parameters by Six Sigma Approach: An Effective Tool for Laboratory Quality Management

Background: Clinical laboratories errors can impose serious adverse effects on patient management. Clinical laboratories can evaluate their analytical performance by effective quality management tool i.e. Six Sigma metrics.Objectives: To evaluate the analytical performance of routine chemistry parameters by Six Sigma approach.Methods: Cross sectional study carried out from July 2022 till February 2024 in the Chemical Pathology section of University of Lahore Diagnostic Lab and Research Center, Lahore. Analytical performance of nineteen routine chemistry parameters were evaluated by using the external and internal quality control material. Only those parameters were selected who enrolled in External Quality Assurance Scheme. Inclusion criteria for IQC following West gard rule +/- 2 SD while for EQAS results follow +/- 2 Z score. Sample size for 19 parameters analyzed in EQAS from July 2022 till December 2023 was 342. 2700 IQC samples were analyzed from August 2023 till February 2024. All control values were entered in Microsoft Excel 2013 and calculated manually by conventional equations.Results: Most of our laboratory parameters showed satisfactory analytical performance in between 3-6 when evaluated by six sigma metrics.Conclusion: Control frequency for parameters showed score &gt; 6 can be reduce for saving laboratory resources whereas parameters with sigma score around 3 needs more vigilant monitoring. Health care and laboratory outcome need high quality results to improve patient health. Six sigma tool allows laboratory to identify the right method, right rule, run controls at right frequency to enable the right patient outcome.

Yield of genetic association signals from genomes, exomes and imputation in the UK Biobank

Whole-genome sequencing (WGS), whole-exome sequencing (WES) and array genotyping with imputation (IMP) are common strategies for assessing genetic variation and its association with medically relevant phenotypes. To date, there has been no systematic empirical assessment of the yield of these approaches when applied to hundreds of thousands of samples to enable the discovery of complex trait genetic signals. Using data for 100 complex traits from 149,195 individuals in the UK Biobank, we systematically compare the relative yield of these strategies in genetic association studies. We find that WGS and WES combined with arrays and imputation (WES + IMP) have the largest association yield. Although WGS results in an approximately fivefold increase in the total number of assayed variants over WES + IMP, the number of detected signals differed by only 1% for both single-variant and gene-based association analyses. Given that WES + IMP typically results in savings of lab and computational time and resources expended per sample, we evaluate the potential benefits of applying WES + IMP to larger samples. When we extend our WES + IMP analyses to 468,169 UK Biobank individuals, we observe an approximately fourfold increase in association signals with the threefold increase in sample size. We conclude that prioritizing WES + IMP and large sample sizes rather than contemporary short-read WGS alternatives will maximize the number of discoveries in genetic association studies.

Simulation to optimize the laboratory diagnosis of bacteremia.

Optimization of laboratory pathways and resource availability has a direct impact on the clinical management of patients with bloodstream infection. This research offers an insight into the laboratory processing of blood cultures at a system level and allows clinical microbiology laboratories to explore the impact of changes to processes and resources.

Urine analysis in monoclonal gammopathies at diagnosis: settling cut-off values

Abstract Objectives Laboratory testing has an extensive role in the diagnosis of monoclonal gammopathies. Since the last updates of the International Myeloma Working Group (IMWG) guidelines for the diagnosis of monoclonal gammopathies, debate has arisen as to whether urine analysis remains relevant for the diagnosis of these entities. Methods We carried out a retrospective study with data from 132 patients with a newly diagnosed serum M-protein. Patients were divided into two groups depending on the presence of M-protein in urine and different variables were recorded and statistically compared between groups. Results The aim of the study was to find a serum M-protein cut-off value under which urine analysis could be avoided in the first laboratory diagnosis. The results show that when the concentration of serum M-protein is ≤3.5 g/L and eGFR is &gt;30 mL/min/1.73 m2 (sensitivity (S): 100 %, specificity (Sp): 49 %, negative-predictive value (NPV): 100 %) the probability of finding M-protein in urine is negligible. Patients with alpha heavy chain have a higher probability of having M-protein in urine. Thus, when the heavy chain of the M-protein is gamma or mu, serum cut-off value can be raised up to ≤4.9 g/L (S: 97 %, Sp: 52 %, NPV: 98 %). Conclusions Settling these two cut-off values when a new M-protein is discovered could avoid a significant number of urine analyses, optimizing laboratory and healthcare resources.

Electrophysiology lab efficiency using cryoballoon for pulmonary vein isolation in Latin America: A sub-analysis of the Cryo Global Registry Study.

Cryoballoon ablation for pulmonary vein isolation is a time-efficient procedure that can alleviate stress on electrophysiology lab resources. This analysis modeled the impact of cryoballoon ablation on electrophysiology lab operation using data from Latin America. Data from centers in Argentina, Mexico, Colombia, and Chile of the were used as inputs for an electrophysiology lab efficiency simulation model. The model used the assumption that either two (today's electrophysiology lab operations) or three (including electrophysiology lab operational changes) cryoballoon ablation procedures could be performed per day. The endpoints were the percentage of days that resulted in 1) overtime and 2) time left for an extra non-ablation electrophysiology procedure. Data from a total of 232 procedures from six Latin American centers were included in the analysis. The average electrophysiology lab occupancy time for all procedures in Latin America was 132 ± 62 minutes. In the Current Scenario (two procedures per day), 7.4% of simulated days resulted in overtime, and 81.4% had enough time for an extra electrophysiology procedure. In the Enhanced Productivity Scenario (three procedures per day), 16.4% of days used overtime, while 67.4% allowed time for an extra non-ablation electrophysiology procedure. Using real-world, Latin American-specific data, we found that with operational changes, three ablation procedures could feasibly be performed daily, leaving time for an extra electrophysiology procedure on more than half of days. Thus, use of cryoballoon ablation is an effective tool to enhance electrophysiology lab efficiency in resource-constrained regions such as Latin America.

HEnsem_DTIs: A heterogeneous ensemble learning model for drug-target interactions prediction

Drug discovery is the process by which a drug is discovered. Drug-target interactions prediction is a major part of drug discovery. Unfortunately, producing new drugs is time-consuming and expensive; Because it requires a lot of human and laboratory resources. Recently, predictions have been made using computational methods to solve these problems and prevent blindly examining all interactions. Various experiences using computational methods show that no single algorithm can be suitable for all applications; Hence, ensemble learning is expressed. Although various ensemble methods have been proposed, it is still not easy to find a suitable ensemble method for a particular dataset. In general, the existing algorithms in aggregation and combination method are selected manually based on experience. Reinforcement learning can be one way to meet this challenge. High-dimensional feature space and class imbalance are among the challenges of drug-target interactions prediction. This paper proposes HEnsem_DTIs, a heterogeneous ensemble model, for predicting drug-target interactions using dimensionality reduction and concepts of recommender systems to address these challenges. HEnsem_DTIs is configured with reinforcement learning. Dimensionality reduction is applied to handle the challenge of high-dimensional feature space and recommender systems to improve under-sampling and solve the class imbalance challenge. Six datasets are used to evaluate the proposed model; Results of the evaluation on datasets show that HEnsem_DTIs works better than other models in this field. Results of evaluation of the proposed model on the first dataset using 10-fold cross-validation experiments show the amount of sensitivity 0.896, specificity 0.954, GM 0.924, AUC 0.930 and AUPR 0.935.

Metabolomics in Pakistan: A Comprehensive Analysis of Availability, Practices, and Challenges in Clinical Laboratories.

To comprehensively analyse the current state of metabolomics in clinical laboratories across Pakistan. Cross-sectional survey. Place and Duration of the Study: Section of Chemical Pathology, Department of Pathology and Laboratory Medicine, The Aga Khan University, Karachi, Pakistan, from June to November 2022. This survey assessed metabolomics availability, computational methods, and resources in Pakistani clinical laboratories. The survey questionnaire was distributed within the chemical pathology community via Google Forms, and responses were garnered from 44 chemical pathologists across 17 laboratories in 10 cities. Among respondents, 11 had formal metabolomics training, with three having less than 1 year, five more than 1 year, and 33 lacking any experience. Primary clinical applications included inherited metabolic disorders, bio-informatics, microbiology, therapeutic drug monitoring, toxicology, and nutritional and environmental science. Thirty-three labs reported no omics-related technology; LC-MS and GC-MS were present in eight labs and capillary spectroscopy, direct infusion mass spectroscopy, and Fourier transform infrared-spectroscopy were predominantly used for metabolite identification. Challenges identified in implementing metabolomics included lack of awareness, limited expertise, low volume, restricted applicability, high instrument costs, and insufficient funding. Metabolomics in Pakistan faces limitations, but the chemical pathology community expresses strong interest, emphasising the need for intensified efforts in education and training in this emerging field. Metabolomics, Chemical pathology, Pakistan, Clinical laboratories, Genetics, Survey.

Enhancing the Growth and Yield of Soybean Plants with Plant Growth Promoting Rhizobacteria and Liquid Organic Fertilizer

Background: Many organic wastes are currently used as organic fertilizers. Giving organic fertilizer to plants has a very good impact on soil and plants. The combination of LOF and PGPR can certainly increase the growth and production of soybean plants. This research was conducted in Tanjung Sari Village, Rembang, Central Java from November 2021 to January 2022. Analytical activities were carried out at the Land Resources Laboratory, Faculty of Agriculture, National Development University "Veteran" East Java. Method: This research method uses a factorial Completely Randomized Design (CRD) consisting of 9 treatments 3 replicates so that 27 experimental units are obtained. The first factor is PGPR (A), namely A0: Without PGPR A1: Banana Bark, A2: Bamboo Root and the second factor is LOF (B), namely B0: Without LOF B1: Banana stem B2: Bamboo shoots. Result: The results of this study showed that the combination of PGPR + LOF treatments made from local raw materials was effective in helping the growth of soybean plants obtained by the combination A2B2 (PGPR bamboo root + LOF bamboo shoot) with the number of pods 36 pods, and plant height 56.60cm, in terms of c-organic analysis (3.05%), N (0.63%), P (15.37%), K (1.23%). This combination is best because it contains lignocellulase enzyme and growth regulators. Conclusion: The combination of PGPR + local raw material-based LOF is effective in enhancing the growth of soybean plants.

Evaluation of Pathology Resources for Cervical Cancer Detection Between 2018 & 2022: a Retrospective Study at Moi Teaching and Referral Hospital, Western Kenya.

Cervical cancer cases are increasing in sub-Saharan Africa, particularly in Kenya, exacerbated by inadequate histopathology resources, posing a significant barrier to timely diagnosis and treatment. There has been little research on the availability and evolution of histopathology resources for diagnosing cervical cancer over the years. This retrospective study evaluated this evolution at Moi Teaching and Referral Hospital in Kenya between 2018 and 2022. We used a mixed-methods approach. An in-depth interview was conducted with one of MTRH's pathology laboratory staff to assess the equipment, personnel, and quality control trends between 2018 and 2022. A thematic analysis was conducted in NVivo. We also retrospectively conducted a comprehensive inventory review of laboratory resources from 2018-2022 via purposive sampling. Microsoft Excel and Stata version 17 were utilized for descriptive statistical analysis. Turnaround time (TAT) was assessed against the UK's National Health Service Cervical Screening Program guidelines. The number of histopathology laboratory personnel at MTRH increased from 2018 to 2022, during which the facility included two pathologists, one records person, and one office administrator. Patient annual visits increased from approximately 350,000 in 2018 to approximately 500,000 in 2022. However, the histopathology personnel-to-population ratio decreased from 1.5 pathologists and 2.7 histo-technicians per 100,000 in 2018 to 1.4 pathologists and 1.8 histo-technicians per 100,000 in 2022. Despite this decrease, lab equipment, automatic tissue processors and embedding machines were added, and an average 14-day turnaround time was maintained for pathology reports. Despite a decreased personnel-to-patient ratio, the addition of crucial histopathology equipment mirrors the operational commitment of the Moi Teaching and Referral Hospital. The 14-day TAT is commendable, contributes to operational effectiveness and significantly contributes to timely detection. The hospital's dedication to upgrading its infrastructure underscores a proactive approach to addressing growing healthcare demands and improving patient outcomes, even with limited human resources. The decline in the personnel-to-patient ratio underscores challenges in diagnosis, emphasizing the need to address workforce and infrastructure gaps to improve patient care within similar low-resource settings.