Based on two progressive aspects of the modeling problems in business process management (BPM), (1) in order to address the increasing complexity of user requirements on workflows underlying various BPM application scenarios, a more verifiable fundam...
Efficient workflow scheduling is essential for improving testing efficiency in large-scale Vehicle-to-Everything (V2X) protocol conformance testing. Existing directed acyclic graph (DAG) schedulers treat all test components uniformly, overlooking the...
Robotic Process Automation is a technology that replicates human interactions with user interfaces across various applications. However, testing Robotic Process Automation implementations remains challenging due to the dynamic nature of workflows. Th...
Wind turbines (WT) are complex multidisciplinary systems containing a large number of mechanical, control, and electrical components. Model-Based Systems Engineering (MBSE) provides an approach for cross-discipline development to address the system c...
Bloodstream infections are a significant cause of morbidity and mortality worldwide. The rapid initiation of effective antibiotic treatment is critical for patients with bloodstream infections. However, the diagnosis of bloodborne pathogens is largel...
The identification of genomic variants has become a routine task in the age of genome sequencing. In particular, small genomic variants of a single or few nucleotides are routinely investigated for their impact on an organism’s phenotype. Hence...
This manuscript outlines a viable approach for training and evaluating machine learning systems for high-stakes, human-centered, or regulated applications using common Python programming tools. The accuracy and intrinsic interpretability of two types...
Climate-smart forestry is a sustainable forest management approach for increasing positive climate impacts on society. As climate-smart forestry is focusing on more sustainable solutions that are resource-efficient and circular, digitalization plays...
Background/Objectives: Homologous recombination deficiency (HRD) is a predictive biomarker in high-grade serous ovarian carcinoma for platinum-based chemotherapy and PARP inhibitors. The implementation of HRD testing in routine diagnostics has genera...
Reliable diagnostic methods are mandatory for effective management of Helicobacter pylori infection. Histology and culture are the most common invasive methods in current practice, even if molecular methods are gaining in importance. The performance...
Next-generation sequencing (NGS) has improved HIV-1 genotypic resistance testing (GRT) by enabling the detection of minority drug-resistance variants, although interpretation of low-frequency mutations remains challenging because of sequencing artifa...
Introduction of DNA standards into Pharmacopoeia in different parts of the world enables identification of herbal materials in a complementary manner. However, little has been discussed about the quality requirements for a testing laboratory to imple...
This study establishes an integrated qualification workflow combining mechanical testing, microstructural characterization, and statistically defined eddy current testing (ECT) on the same material heats to provide a coherent and traceable material q...
Background/Objectives: Body fluid identification is essential in sexual assault investigations because it supports crime scene reconstruction and guides DNA analysis. However, biological traces are often limited, so it is necessary to maximize inform...
Background/Objectives: Rapid antimicrobial decision-making in small-animal practice is limited by the turnaround time (≥2 days) of conventional laboratory-based culture and antimicrobial susceptibility testing (AST). Existing point-of-care and in-...
Longitudinal cerebrospinal fluid PCR archives may show apparent age patterns shaped jointly by underlying disease processes and testing architecture. We examined how apparent viral detection patterns varied with denominator choice, target availabilit...
Background: Modern hematology analyzers integrate multiparametric technologies and adaptive flagging algorithms to support rapid detection of abnormal leukocyte populations. The Sysmex XN-9100 employs the White Blood Cell Differential (WDF) channel f...
Aircraft seats are tested for fire safety, emissions, hygiene, durability, and, for connected seats, cybersecurity, but each property is tested separately, on different samples, under different standards. As a result, current laboratory evidence cann...
Background and Objectives: Over recent decades, germline genetic testing has become increasingly integrated into breast cancer care, yet its precise effect on the timing of surgical workflows remains incompletely defined. This study investigates the...
Acute infectious gastroenteritis (AIG) is caused by diverse bacterial and viral enteric pathogens with overlapping clinical presentations, limiting conventional pathogen-directed workflows. This retrospective before–after study evaluated the di...
Background/Objectives: To quantify end-to-end timeliness of the blood culture (BC) diagnostic workflow over one month using operational key performance indicators (KPIs)—transportation time (TT), time to detection (TTD), time to preliminary rep...
Background/Objectives: Although genetic testing is recommended for pediatric hearing loss, referral rates within otology and audiology practices remain low. This study evaluated referral rates, referral pathways, and genetics appointment completion b...
The MIC value definition faithfully reflects antimicrobial sensitivity, profoundly impacting the infection's clinical outcome. Our study aimed to evaluate the Accelerate PhenoTM System in defining the importance of fast phenotypic susceptibility data...
Acute gastroenteritis is a common condition with a wide and often indistinguishable etiology, requiring laboratory support for an accurate diagnosis. Classical diagnostic methods, including stool culture and antigen-based tests, are limited by restri...
Next Generation Sequencing (NGS)-based methods are high-throughput and cost-effective molecular genetic diagnostic tools. Targeted gene panel and whole exome sequencing (WES) are applied in clinical practice for assessing mutations of pheochromocytom...
This protocol details an optimized step-by-step procedure for performing the Seahorse XF Cell Mito Stress Test on human umbilical vein endothelial cells (HUVECs) using the Agilent Seahorse XF Pro Analyzer. Designed to address practical challenges oft...
“Structure from Motion” by smart devices photography (SfM-S) is a current promising tool to support 3D participatory monitoring of heritage and geosites. Within the ODySéYeu scientific project, which aims to analyze the sedimentary dynamics around th...
Background/Objectives: Access to hepatitis B virus (HBV) DNA testing remains limited in resource-limited settings. The main reasons for this are the high cost of molecular assays and the need for specialized infrastructure. This pilot study aimed to...
High-throughput sequencing (HTS) allows detection of known and unknown viruses in samples of broad origin. This makes HTS a perfect technology to determine whether or not the biological products, such as vaccines are free from the adventitious agents...
The aim of this in vitro study was to evaluate the differences in heat generation across the drilling techniques, depths, and irrigation conditions of static computer-assisted implant surgery (S-CAIS) and conventional implant preparation (CIP) using...
This paper offers a comprehensive examination of the process involved in developing and automating supervised end-to-end machine learning workflows for forecasting and classification purposes. It offers a complete overview of the components (i.e., fe...
High-performance computing (HPC) plays a crucial role in scientific computing, and the efficient utilization of HPC to accomplish computational tasks remains a focal point of research. This study addresses the issue of parameter tuning for Earth syst...
Background: Biodegradable magnesium-based alloys are increasingly explored as emerging biomaterials for dental and maxillofacial applications due to their osteoconductive properties and potential to reduce long-term implant-related complications. How...
We propose an optimized Structure-from-Motion (SfM) Multi-View Stereopsis (MVS) workflow, based on minimizing different errors and inaccuracies of historical aerial photograph series (1945, 1979, 1984, and 2008 surveys), prior to generation of elevat...
Efficient management of medical diagnostic laboratories is critical for ensuring high-quality test results, optimal utilization of analytical resources, and continuity of services, particularly under conditions of increased and variable demand. This...
Genetic testing for SMA diagnosis, newborn screening, and carrier screening has become a significant public health interest worldwide, driven largely by the development of novel and effective molecular therapies for the treatment of spinal muscular a...
Innovative Model-Based Systems Engineering (MBSE) applies function-oriented hierarchical system architecture and utilizes Systems Modeling Language (SysML) for virtual testing. However, for complex systems, the relevant virtual tests are scattered at...
This double-blind randomized controlled trial with a crossover design analyzed the technical and clinical performance of three-unit monolithic ZrO2 implant-fixed dental prostheses (iFDPs), prepared using two complete digital workflows (Test-1, Test-2...
The unprecedented COVID-19 pandemic posed major challenges to local, regional, and global economies and health systems, and fast clinical diagnostic workflows were urgently needed to contain the spread of SARS-CoV-2. Here, we describe the platform an...
This study aimed to test whether or not a digital workflow for GBR with particulate bone substitutes and injectable platelet-rich fibrin improved the thickness of the hard tissue compared to the conventional workflow. 26 patients in need of lateral b...
The purpose of this randomized controlled trial was to compare the immediate-loading protocol, in single restorations in the esthetic zone, by comparing the digital workflow in a test group (TG) vs. the analogical workflow in a control group (CG). A...
Induced pluripotent stem cells (iPSCs) derived from human somatic cells have created new opportunities to generate disease-relevant cells. Thus, as the use of patient-derived stem cells has become more widespread, having a workflow to monitor each li...
Cloud computing, a superset of heterogeneous distributed computing, allows sharing of geographically dispersed resources across multiple organizations on a rental basis using virtualization as per demand. In cloud computing, workflow allocation to ac...
Fuzzing is an important automated testing technique for discovering vulnerabilities and abnormal software behavior, but conventional and pre-LLM learning-based approaches often struggle with strict validity constraints, limited semantic understanding...
Recent advances in Large Language Models (LLMs) and agent-based architectures have introduced new possibilities for automating web application security testing. Unlike traditional vulnerability scanners that rely mainly on signature-based detection,...
We present our approach to rapidly establishing a standardized, multi-site, nation-wide COVID-19 screening program in Belgium. Under auspices of a federal government Task Force responsible for upscaling the country’s testing capacity, we were a...
Background: On December 2019, an outbreak of atypical pneumonia, known as COVID-19, was identified in Wuhan, China. This disease, characterized by the rapid human-to-human transmission of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-...
The purpose of the study was to compare conventional to digital workflows of occlusal splint production regarding time efficiency, overall fit, and wear. Fifteen Michigan splints were fabricated with a conventional and digital method. The duration fo...
Background: Fragile X syndrome (FXS) requires molecular confirmation, yet diagnostic workflows vary in their capacity to characterize expansions and connect diagnosis with subsequent care. This review evaluated alignment between current recommendatio...
AI (artificial intelligence)-based analysis of geospatial data has gained a lot of attention. Geospatial datasets are multi-dimensional; have spatiotemporal context; exist in disparate formats; and require sophisticated AI workflows that include not...
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