Workflow Research Articles

Wearable wireless continuous vital signs monitoring on the general ward.

Wearable wireless sensors for continuous vital signs monitoring (CVSM) offer the potential for early identification of patient deterioration, especially in low-intensity care settings like general wards. This study aims to review advances in wearable CVSM - with a focus on the general ward - highlighting the technological characteristics of CVSM systems, user perspectives and impact on patient outcomes by exploring recent evidence. The accuracy of wearable sensors measuring vital signs exhibits variability, especially notable in ambulatory patients within hospital settings, and standard validation protocols are lacking. Usability of CMVS systems is critical for nurses and patients, highlighting the need for easy-to-use wearable sensors, and expansion of the number of measured vital signs. Current software systems lack integration with hospital IT infrastructures and workflow automation. Imperative enhancements involve nurse-friendly, less intrusive alarm strategies, and advanced decision support systems. Despite observed reductions in ICU admissions and Rapid Response Team calls, the impact on patient outcomes lacks robust statistical significance. Widespread implementation of CVSM systems on the general ward and potentially outside the hospital seems inevitable. Despite the theoretical benefits of CVSM systems in improving clinical outcomes, and supporting nursing care by optimizing clinical workflow efficiency, the demonstrated effects in clinical practice are mixed. This review highlights the existing challenges related to data quality, usability, implementation, integration, interpretation, and user perspectives, as well as the need for robust evidence to support their impact on patient outcomes, workflow and cost-effectiveness.

The Architecture Model for Defense Systems Test Works based on Systems Engineering

This paper describes the establishment of defense systems test works architecture model for the efficient operation of an expanded test organization and the provision of standardized test services after the integration of proving grounds in ADD. The system engineering vee model is applied to the defense system test works to define the project management model and the unit-test management model. In order to establish the defense systems test works architecture model, the process flow of test works, artifacts by life cycle, and interrelations between regulations and test works are explained, and Integrated Test Information System for implementation of architecture model is discussed. Through the defense systems test works architecture model presented in this study, it will contribute to quickly responding to the test requirements of complex and diverse defense systems, efficiently managing projects, and providing standardized test services.

Implementation of a Self-Audit Tool Improves Regulatory Compliance for Point-of-Care Respiratory Virus Testing in the Emergency Department.

Point-of-care testing in the emergency department decreases wait times and supports evidence-based patient care. However, hurdles to successful implementation include management of interdisciplinary work flows and establishment of an effective quality control program. As COVID-19 testing is now integrated into screening protocols in emergency and urgent care settings, hospital systems must maintain flexible and adaptable respiratory virus testing to adapt to regional trends in transmission. In response to this challenge, our hospital system established a point-of-care respiratory virus laboratory within the emergency department to test for COVID, influenza A/B, and respiratory syncytial virus (RSV). However, maintaining regulatory compliance and standardized protocols within such a dynamic environment became challenging. We launched a quality improvement initiative to support improved performance and efficiency in the point-of-care laboratory with a focus on regulatory benchmarks. Following a period of observation and discussion with key stakeholders in the emergency department and pathology, an audit tool was developed and to be deployed in collaboration with ED nursing. Utilizing the new tool, ED nursing would perform audits in parallel to audits performed by point-of-care staff. Prior to the intervention, the average audit score was approximately 55%; 6 months following the intervention, audit scores have remained stable at approximately 80%, representing a significant improvement in regulatory compliance. Creation of a regulatory tool enabled real-time cross-departmental monitoring of regulatory compliance. These findings underscore the importance of developing transparent interdisciplinary work flows and effective communication to improve patient care.

The impact of specialised translator training and professional experience on legal translation quality assurance: an empirical study of revision performance

ABSTRACT The relevance of translation and law degrees as pathways to professional legal translation is the subject of persistent debate, but there is limited research on the relationship between legal translators’ backgrounds and competence levels in practice. This study compares the revision performance of several groups of institutional translators (44 in total) according to their academic backgrounds (legal translation specialisation, translation degrees with no legal specialisation, law degrees or other degrees) and legal translation experience (more or less than three years). The scores of justified, missing and over-corrections, among other indicators, corroborate the crucial impact of legal translation specialisation and subject-matter knowledge in ensuring legal translation quality, while experience can serve to partially fill certain training deficits. Qualified translators with a legal specialisation stood out as the most efficient revisers, followed by law graduates, translation graduates without a legal specialisation and other translators. A subsequent holistic assessment of the revised target text yielded results globally in line with the revision scores, as well as mixed perceptions of the target text as potential machine output. The findings support the added value of legal translator training, and are of relevance for translator recruitment and workflow management. They also challenge the rationale behind ISO 20771:2020 qualification requirements.

The modern anesthesiologist's manual: the development and maintenance of an anesthesia case reference application.

Anesthesia clinicians care for patients undergoing a wide range of procedures, making access to reliable references crucial. However, existing resources have key limitations. This technical report describes the development of an in-house anesthesia case reference application designed for use in a tertiary academic hospital. Additionally, it details our experiences in maintaining this system over a 22-month period and compares this system to alternative resources. Utilizing JavaScript and the React library, we developed a cross-platform perioperative reference application. Over fifty articles, encompassing anesthetic considerations for various surgical disciplines, have been created. Furthermore, we conducted a preliminary analysis of analytics data. In the 22months since the application's inception, the application has garnered over 22,000 views from local users. While there are more than 150 registered users, the number of unregistered users accessing the application on the hospital network remains unknown. Notably, 70% of users accessed the application through a mobile device. The most popular articles centered around procedures with diverse and specific surgeon preferences. Currently, the reported case reference application is routinely utilized by anesthesia clinicians at our institution. Future endeavors will concentrate on establishing a robust content management workflow to broaden the coverage of topics.

Automatic Depth Shifting by Identifying and Matching Events on Well Logs Chicheng Xu

Depth matching or depth shifting between well logs acquired from different runs or between core scans and well logs is a critical data quality control task to ensure subsequent accurate petrophysical interpretation and modeling. Conventional depth-shifting workflow heavily relies on human expertise to manually match a series of peaks and troughs between log curves, which is often subjective, error-prone, and cumbersome. Therefore, it is necessary to establish an automatic depth-shifting workflow to perform this routine yet important task accurately in a consistent and efficient manner. We implemented an automatic workflow to emulate human expertise to identify important “events” such as peaks, troughs, and bed boundaries on log curves and then intelligently match the identified series of events between log curves with local maximum correlation criteria to generate a depth shift table. We applied the automatic workflow in a field case to shift the well log and core gamma ray and delivered a depth shift table comparable to manual depth matching. The final shifted log achieved a significantly enhanced correlation with the reference log. The events identifying and matching method presents a white-box solution that still follows the conventional petrophysical wisdom and allows more user interaction to fine-tune the results. The users have full control of the parameters for optimal results.

Poromechanics Modeling Forecasts Production, Analyzes Productivity Decline

_ This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 212200, “Accurate Production Forecasting and Productivity Decline Analysis Using Coupled Full-Field and Near-Wellbore Poromechanics Modeling,” by Yan Li, Bin Wang, and Jiehao Wang, Chevron, et al. The paper has not been peer reviewed. _ Productivity index (PI) decline is caused by different mechanisms in both the wellbore region and the far field. Damage in the wellbore region can be simulated by detailed wellbore modeling. A newly developed full-field and near-wellbore poromechanics coupling scheme is used in the complete paper to model PI degradation against time. Near-wellbore damage and field and well interactions are identified when applying the coupling scheme for a deepwater well. History matching, production forecasting, and safe drawdown limits are derived for operational decisions. Full-Field Reservoir Model and Near-Wellbore Poromechanics Model Coupling Full-field and near-wellbore modeling involves coupling the simulation of a full-field reservoir model with one or more near-wellbore poromechanics models. In the coupled simulation, the full-field reservoir model dictates the changing flow or thermal boundary conditions for the embedded near-wellbore models. Meanwhile, near-wellbore phenomena affect well productivity in the full-field reservoir model, altering the flow and thermal boundary conditions on all near-wellbore models in the same field. While capturing the dynamic interactions between the full-field model and all embedded near-wellbore models is of vital importance, the traditional near-wellbore modeling work flow considers only one-way coupling. This work flow is labor-intensive and lacks the dynamic interplay between the reservoir and near-wellbore models. A novel near-wellbore coupling framework is developed to automate data exchange and capture dynamic interactions between the full-field model and the near-wellbore model. In the full-field reservoir and geomechanics coupling applications, only a reservoir simulator solves reservoir flow and thermal equations and a geomechanics simulator solves solid mechanics equations. The reservoir and geomechanics simulators exchange 3D field data. Because solid mechanics equations are quasistatic, the geomechanics simulator does not take timesteps in full-field coupling. In near-wellbore coupling, however, both reservoir and geomechanics simulators solve reservoir flow and thermal equations. The near-wellbore geomechanics model also may solve solid mechanics or other equations coupled to flow or thermal equations in the near-wellbore model. All physics are included in the near-wellbore model for the coupling. Both field properties (3D) and transient boundary conditions (2D) must be mapped onto the near-wellbore model. It is important to ensure that the full-field and near-wellbore models are consistent. A 3D data-mapping module is developed to map flow and rock properties and initial conditions from the full-field model to the near-wellbore model. During the simulation, the transient pressure/temperature boundary conditions (2D) at the external boundary of the near-wellbore model must be mapped from the full-field model to the near-wellbore model to update transient boundary conditions. The automated data mapping in the coupling scheme eliminates the need for manual mapping of field properties and transient boundary conditions.

Adoption of a gastroenterology hospitalist model and the impact on inpatient endoscopic practice volume: a controlled interrupted time-series analysis

Background and AimsThe gastroenterology (GI) hospitalist staffing model has multiple potential benefits for the inpatient and outpatient care of GI patients. The GI hospitalist model may improve inpatient endoscopy efficiency via better provider familiarity with management of GI emergencies, hospital systems and workflow, and may also increase outpatient endoscopy capacity by decreasing the need for inpatient coverage by outpatient providers. However, the real-world impact of this model on inpatient and outpatient endoscopic volume remains uncertain. MethodsWe conducted a controlled interrupted time series analysis from September 2018 to March 2020 comparing inpatient endoscopy volume at two high-acuity hospitals within the same academic health system, one of which adopted a two-physician GI hospitalist model in July 2019. We also performed a single interrupted time series analysis of outpatient endoscopic volume of the practice employing GI hospitalists. ResultsAfter implementation of the GI hospitalist model, weekly volume of inpatient endoscopic procedures increased by 10.9 (95% CI: [0.6, 21.2]; p=0.024) compared to a hospital using traditional staffing. Outpatient endoscopic procedure volume also increased by 39.8 per week (95% CI: [-5.78, 85.44]; p=0.09), with no change in the number of physicians performing endoscopy. ConclusionsOur findings demonstrate that introduction of a GI hospitalist model increased inpatient and outpatient endoscopic volume in a large academic center.

Quality improvement efforts directed at optimal umbilical cord management in delivery room

Delayed or deferred cord clamping (DCC) and umbilical cord milking (UCM) benefit all infants by optimizing fetal-neonatal transition and placental transfusion. Even though DCC is recommended by almost all maternal and neonatal organizations, it has not been universally implemented. There is considerable variation in umbilical cord management practices across institutions. In this article, we provide examples of successful quality improvement (QI) initiatives to implement optimal cord management in the delivery room. We discuss a number of key elements that should be considering among those undertaking QI efforts to implement DCC and UCM including, multidisciplinary team collaboration, development of theory for change, mapping of the current and ideal process and workflow for cord management, and creation of a unit-specific evidence-based protocol for cord management. We also examine important strategies for implementation and provide suggestions for developing a system for measurement and benchmarking.

Opportunities and challenges of community mental health centers in Türkiye

AbstractIn 2011, Türkiye restructured the mental health care system in community-based settings following the announcement of the National Mental Health Action Plan. Community mental health centers (CMHCs) are the major element of this approach. As of now, the total number of CMHC have reached 186, and the service users have almost reached 100.000. Mental health care system gained significant advantages through CMHCs, such as 1) improvement in the conditions of mental health services, 2) better follow-up of patients with chronic severe mental disorders, 3) capability of in-home services, 4) decrease in the number of hospitalizations, 5) increased social involvement of patients with severe mental disorder. CMHCs also played a significant role in promoting social rehabilitation, including employment status, development of social relationships, and redress of stigmatization. All these advantages were put into practice by community mental health teams comprising a psychiatrist, psychologists, nurses, social workers and ergotherapists, if available.Community mental health centers come with severe challenges and shortcomings despite their ameliorations. First, CMHCs need trained mental health professionals. However, only 52% of the CMHC teams completed the CMHC trainings currently. Second, standardized work flow algorithms should be developed for CMHCs. Third, there should be a strong relationship between CMHCs, primary health care system and inpatient units as a complementary part of essential mental health care. In addition, hospital administration should be trained in terms of CMHC policy since every CMHC is affiliated with a state hospital. For instance, the ongoing issue of defining quality standards for CMHCs contributes to a misconception, portraying these centers as profit-making units rather than dedicated rehabilitation facilities.In conclusion, community-based settings and CMHCs significantly advance mental health services despite the challenges confronted in practice. To optimize the effectiveness of community mental health care facilitated by CMHCs, it is imperative to review the implementation process with the active involvement and support of non-governmental organizations, including patient-driven organizations and national psychiatric associations.Disclosure of InterestNone Declared

Lessons Learned from a National Hospital Antibiotic Stewardship Implementation Project

BackgroundThe goal of antibiotic stewardship programs (ASPs) is to ensure patients receive effective therapy while minimizing adverse events. To overcome barriers commonly faced in implementing successful ASPs, AHRQ established a multifaceted, nationwide Safety Program for Improving Antibiotic Use in 2018. This report summarizes the lessons learned from the implementation of this initiative based on structured interviews with ASP leaders. MethodsAt the completion of the one-year initiative, semi-structured exit interviews were conducted with site leaders at 151 of the 402 hospitals that participated. These interviews consisted of open-ended questions about the perceived effectiveness of components of the Safety Program. Qualitative analyses incorporated both deductive coding themes (based on existing literature) and an iteratively developed inductive coding framework (based on salient themes that emerged from a subset of interviews). ResultsSeveral components of the Safety Program were identified as effective in expanding local stewardship activities, including techniques and strategies to implement sustainable ASPs, access to Implementation Advisors to keep sites engaged, provision of local benchmarked antibiotic use data to compare to similar hospitals, and Safety Program materials such as the antibiotic time-out tool to integrate stewardship techniques into daily work flows. The biggest challenges to greater effectiveness were suboptimal frontline staff engagement and difficulty changing antibiotic prescribing culture. Some approaches used to overcome these barriers (i.e., peer-to-peer communication and education through team huddles, identifying physician champions, informal rounds to enhance collegiality and buy-in, and engagement of hospital leadership) were also identified. ConclusionsLessons learned from the Safety Program can be applied by other teams looking to promote an effective ASP at their hospital or system. The themes that emerged in this study likely also have relevance across a wide range of large-scale quality improvement initiatives.

RUNNING A WORKFLOW WITHOUT WORKFLOWS: A BASIC ALGORITHM FOR DYNAMICALLY CONSTRUCTING AND TRAVERSING AN IMPLIED DIRECTED ACYCLIC GRAPH IN A NON-DETERMINISTIC ENVIRONMENT

This paper introduces a novel algorithm for dynamically constructing and traversing Directed Acyclic Graphs (DAGs) in workflow systems, particularly targeting distributed computation and data processing domains. Traditional workflow management systems rely on explicitly defined, rigid DAGs, which can be cumbersome to maintain, especially in response to frequent changes or updates in the system. Our proposed algorithm circumvents the need for explicit DAG construction, instead opting for a dynamic approach that iteratively builds and executes the workflow based on available data and operations, through a combination of entities like Data Kinds, Operators, and Data Units, the algorithm implicitly forms a DAG, thereby simplifying the process of workflow management. We demonstrate the algorithm’s functionality and assess its performance through a series of tests in a simulated environment. The paper discusses the implications of this approach, especially focusing on cycle avoidance and computational complexity, and suggests future enhancements and potential applications.

Agile methodologies in digital banking: Theoretical underpinnings and implications for customer satisfaction

This paper delves into the theoretical underpinnings of agile methodologies and investigates their potential to enhance customer satisfaction in digital banking. Theoretical foundations of agile methodologies draw on several key theoretical frameworks complexity theory, complex systems, like digital banking ecosystems, exhibit emergent properties. Traditional linear approaches struggle to predict these. Agile embraces iterative development cycles and adaptability to changing requirements, acknowledging this complexity lean thinking, derived from manufacturing, lean thinking prioritizes eliminating waste and maximizing customer value. Agile translates this by focusing on short development sprints, prioritizing features with the highest customer impact, and minimizing unnecessary functionalities customer co-creation, traditional models often distance customers from the development process. Agile emphasizes customer co-creation, actively involving them in design and testing. This fosters a deeper understanding of customer needs and leads to more relevant and satisfying digital banking experiences. Agile practices in digital banking. Agile methodologies encompass diverse practices. This visual management system focuses on workflow optimization. Promoting a continuous flow of work from development to deployment user stories and acceptance criteria, User Acceptance criteria define the specific conditions a feature must meet for user approval. These practices ensure features align with customer needs and expectations. Agile methodologies hold significant promise for enhancing customer satisfaction in digit banking. Agile development allows banks to deliver new features and functionalities faster, keeping pace with evolving customer demands. Customers benefit from quicker access to innovative solutions that address their financial needs. This results in digital banking experiences that are intuitive, efficient, and cater to specific user needs. Increased Innovation, The iterative nature of agile fosters continuous learning and experimentation. Banks can test new features, gather customer feedback, and rapidly iterate upon them, leading to a more innovative and dynamic digital banking experience. Improved transparency and trust, agile practices promote open communication and collaboration between development teams and customers. Customers are kept informed of updates and have a voice in shaping the development process, fostering trust and a sense of ownership.

The opportunities and challenges of generative AI for the development of the accounting Industry

Against the backdrop of rapid information technology development, generative AI technology has become a key driver in advancing the accounting industry. This paper discusses the opportunities that generative AI, represented by ChatGPT, brings to the accounting industry. These opportunities include driving workflow automation, enhancing review efficiency, and aiding scientific research. The article discusses challenges related to the authenticity and usability of output data, privacy and security of accounting data, and the shortage of technical talent. The author proposes strategies to address these challenges, including fostering critical thinking and awareness, strengthening the training and development of GPT models specific to accounting, enhancing data and privacy protection, and promoting relevant training for accounting professionals. This study addresses the research gap in the application of ChatGPT in the accounting industry. Its practical significance lies in promoting technological advancement and high-quality development in China's accounting industry.

Научно-технологические основы разработки месторождений подземных вод с принудительным самоизливом

Introduction. A two-well borehole system is proposed, providing for the extraction of groundwater by forced self-discharge. The essence is to create conditions for the emergence of a down hole energy source in the form of hydraulic shocks, alternating hydraulic impulses affecting aquifers and ensuring the rise of water to a height. Materials and methods of research. A block diagram of a two-well circulation system of wells consisting of an above-ground tank, an injection well with a ledge, a water-lifting well connected by an intermediate trunk. The objects of the study are the shape of the above–ground tank, its connection with the injection well, the location of the ledge and the conditions for conducting a water circulation channel from the ledge to the above-ground tank. Methods – calculation of the energy characteristics of a two-well system, experiments to study the mechanism of the origin of incomplete hydraulic shock, boundary values of the modes of water movement in the system and the coefficient of injection of rocks. They were carried out on the installation with the possibility of visual observation of the processes taking place in the system. Results. When an incomplete hydraulic shock occurs on the ledge of the injection well, the flow is divided into core and lateral components. The water flow from the tank into the well was in the range of 20–60 l/min. The origin of incomplete hydraulic shock occurred at a water flow rate of 20 l/min, with an increase in pressure up to 7.0 atmospheres. The boundary values of the laminar flow mode of water flow are 60 l/min. The height of the water rise (H) mainly depends on the depth of origin of incomplete hydraulic shock (H1). The ejection coefficient of rocks decreases with increasing flow rate of the working flow. Discussion. The results of the study are due to the design features of the elements of the two-well circulation system of wells. The operating conditions of the system are the type of communication ground tank – injection well – aquifer, the location of the ledge, the execution of the water circulation channel from the ledge to the entrance to the ground tank with one diameter, the preservation of the laminar flow regime of water, the exclusion of pressure loss and water leakage in the intermediate trunk. Conclusions. The conditions for the origin of a down hole energy source in the form of renewable hydraulic shocks, which have a hydro impulsive effect on aquifers, have been established. A block diagram of the injection and circulation system of wells for the extraction of groundwater by forced self-discharge has been formed. Resume. The validity of the idea of injection-forced self-discharge of groundwater is proved by the results of research. The results are applicable in the development of groundwater with low-pressure and non-pressure aquifers. The objects of future research are the optimal ratios of the diameter of the injection well and the passage section of the ledge, the expansion of the boundary values of the flow transition from laminar to turbulent motion, and an increase in the ejection coefficient.

Toward an improved ensemble of multi-source daily precipitation via joint machine learning classification and regression

Accurate estimation of precipitation at local to global scales can considerably enhance our understanding of climate system dynamics. While numerous precipitation products are available as indispensable tools for investigating precipitation and its associated processes, none can consistently provide the lowest estimation error across environmental conditions. The multiple source precipitation ensemble (MSPE) methods have been considered a vital solution. A new MSPE framework is proposed here, which simultaneously uses machine learning (ML) classification and regression techniques within an automatic workflow (MSPEaml). Six precipitation products and their ensembles based on different MSPE strategies were evaluated at 2365 gauged and 800 randomly selected ungauged sites over China. Results revealed significant precision inconsistencies among the products primarily due to their different data sources and retrieval algorithms; while MSPEaml can effectively reduce the random and classification errors of estimated precipitation according to the Kling-Gupta efficiency and Heidke skill score. The improvements demonstrated the unique features of MSPEaml, particularly the necessity of the joint use of ML classifiers and regressors and assigning spatiotemporal dynamic weights for merging precipitation data. Moreover, MSPEaml can substantially improve its generalizability through a simple binning procedure, making it applicable under more complex conditions. The varying contributions of predictor variables (indicated by Shapely values) in different ML models identified the complexity of the MSPE issue and further the importance of designing proper ML models according to specific targets. The proposed MSPE framework is expected to be a suitable solution for assembling multiple precipitation data sources with different time periods and scales.

Interlaboratory Comparison of Antibody-Free LC-MS/MS Measurements of C-peptide and Insulin.

The enhanced precision and selectivity of liquid chromatography-tandem mass spectrometry (LC-MS/MS) makes it an attractive alternative to certain clinical immunoassays. Easily transferrable work flows could help facilitate harmonization and ensure high-quality patient care. We aimed to evaluate the interlaboratory comparability of antibody-free multiplexed insulin and C-peptide LC-MS/MS measurements. The laboratories that comprise the Targeted Mass Spectrometry Assays for Diabetes and Obesity Research (TaMADOR) consortium verified the performance of a validated peptide-based assay (reproducibility, linearity, and lower limit of the measuring interval [LLMI]). An interlaboratory comparison study was then performed using shared calibrators, de-identified leftover laboratory samples, and reference materials. During verification, the measurements were precise (2.7% to 3.7%CV), linear (4 to 15 ng/mL for C-peptide and 2 to 14 ng/mL for insulin), and sensitive (LLMI of 0.04 to 0.10 ng/mL for C-peptide and 0.03 ng/mL for insulin). Median imprecision across the 3 laboratories was 13.4% (inter-quartile range [IQR] 11.6%) for C-peptide and 22.2% (IQR 20.9%) for insulin using individual measurements, and 10.8% (IQR 8.7%) and 15.3% (IQR 14.9%) for C-peptide and insulin, respectively, when replicate measurements were averaged. Method comparison with the University of Missouri reference method for C-peptide demonstrated a robust linear correlation with a slope of 1.044 and r2 = 0.99. Our results suggest that combined LC-MS/MS measurements of C-peptide and insulin are robust and adaptable and that standardization with a reference measurement procedure could allow accurate and precise measurements across sites, which could be important to diabetes research and help patient care in the future.

COSAP: Comparative Sequencing Analysis Platform

BackgroundRecent improvements in sequencing technologies enabled detailed profiling of genomic features. These technologies mostly rely on short reads which are merged and compared to reference genome for variant identification. These operations should be done with computers due to the size and complexity of the data. The need for analysis software resulted in many programs for mapping, variant calling and annotation steps. Currently, most programs are either expensive enterprise software with proprietary code which makes access and verification very difficult or open-access programs that are mostly based on command-line operations without user interfaces and extensive documentation. Moreover, a high level of disagreement is observed among popular mapping and variant calling algorithms in multiple studies, which makes relying on a single algorithm unreliable. User-friendly open-source software tools that offer comparative analysis are an important need considering the growth of sequencing technologies.ResultsHere, we propose Comparative Sequencing Analysis Platform (COSAP), an open-source platform that provides popular sequencing algorithms for SNV, indel, structural variant calling, copy number variation, microsatellite instability and fusion analysis and their annotations. COSAP is packed with a fully functional user-friendly web interface and a backend server which allows full independent deployment for both individual and institutional scales. COSAP is developed as a workflow management system and designed to enhance cooperation among scientists with different backgrounds. It is publicly available at https://cosap.bio and https://github.com/MBaysanLab/cosap/. The source code of the frontend and backend services can be found at https://github.com/MBaysanLab/cosap-webapi/ and https://github.com/MBaysanLab/cosap_frontend/ respectively. All services are packed as Docker containers as well. Pipelines that combine algorithms can be customized and new algorithms can be added with minimal coding through modular structure.ConclusionsCOSAP simplifies and speeds up the process of DNA sequencing analyses providing commonly used algorithms for SNV, indel, structural variant calling, copy number variation, microsatellite instability and fusion analysis as well as their annotations. COSAP is packed with a fully functional user-friendly web interface and a backend server which allows full independent deployment for both individual and institutional scales. Standardized implementations of popular algorithms in a modular platform make comparisons much easier to assess the impact of alternative pipelines which is crucial in establishing reproducibility of sequencing analyses.

EMPLOYEE TRACKER SYSTEM

The Employee Tracker System is a sophisticated software solution designed to streamline and optimize the management of employee data and activities within an organization. In today's dynamic business environment, efficient workforce management is paramount for the success and growth of any company. This system offers a comprehensive set of features and functionalities to meet the diverse needs of modern enterprises. It is a comprehensive solution designed to optimize workforce management processes, enhance productivity, and foster a culture of transparency and accountability within organizations. By leveraging advanced technologies and intuitive user interfaces, this system empowers HR departments and managers to efficiently manage their workforce and drive organizational success. Key Words: Employee Tracker System, Workforce Management, Attendance Tracking, Time Tracking, Leave Management, Absence Management, Workflow Automation, Employee Empowerment

Abstract 4956: A fast and efficient bioinformatics analysis workflow for processing reads from single-cell multiomics assays captured on a microwell-based platform

Abstract Here, we present a significant update: version 2.0 of our sequencing analysis, it is a comprehensive primary analysis workflow that is up to 7X faster and consumes 2X less disk space than the previous release. We used it to process a library with 20,000 human PBMCs sequenced to a depth of 1.2 billion reads in 2.5 hours of wall-clock time. The pipeline can be used with reads from single-cell whole transcriptome, targeted mRNA, surface antigens (AbSeq), TCR/BCR and Sample Tag libraries captured on the BD Rhapsody™ System platform. The major processing steps include Quality Filtering, Cell Barcode Identification, Read Alignment, Feature Assignment, UMI Error Correction, Identification of Putative Cells, Sample De-Multiplexing, Dimensionality Reduction for Visualization and VDJ Contig Assembly and Annotation. Output files and metrics are available in easy-to-digest formats, including an html report with dynamic visualization. Integrated outputs in Seurat and Scanpy formats combine expression matrices and all cell annotation metadata (e.g., predicted cell type, sample assignment, TCR/BCR sequence and gene segments). These pre-generated files are ready to load into popular single-cell analysis tools. The pipeline uses CWL as the workflow manager and makes use of custom code written in C++ and Python along with various open-source packages for data processing. The pipeline can also process reads from non-human species and includes built-in support for specifying and building custom reference genome indices. In support of high-throughput multiomic discovery studies enabled by the BD Rhapsody™ HT Xpress System, this pipeline has been tested with datasets containing more than 800,000 putative cells and 14.5 billion reads. For Research Use Only. Not for use in diagnostic or therapeutic procedures. BD, the BD Logo and BD Rhapsody are trademarks of Becton, Dickinson and Company or its affiliates. © 2023 BD. All rights reserved. NPM-2535 (v1.0) 1023 Citation Format: Raghavendra Padmanabhan, Brent Weichel, Amie Radenbaugh, Yuefu Jiang, Charles Weeks, Thomas McCarthy, Youngsook Kim, Anthony Berno, Devon Jensen. A fast and efficient bioinformatics analysis workflow for processing reads from single-cell multiomics assays captured on a microwell-based platform [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 4956.