Science topic

Workflow - Science topic

Description of pattern of recurrent functions or procedures frequently found in organizational processes, such as notification, decision, and action.
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Publications related to Workflow (10,000)
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Article
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Energy system models are widely used to inform the political decisions required to successfully mitigate climate change in the energy sector. The energy system optimization models (ESOMs) used to identify cost-minimal transformation pathways assume the perfect behavior of market participants from a central planner’s perspective. Neglecting the deci...
Research Proposal
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We welcome clinicians to report their experiences using these new materials, new techniques, and digital workflows, suggesting critical comparisons with the previous generation of materials and rehabilitation techniques. We also invite researchers to propose studies on the strength, thickness, and characteristics that clinicians must pay attention...
Article
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The use of topographic airborne LiDAR data has become an essential part of archaeological prospection, and the need for an archaeology-specific data processing workflow is well established. However, interpolation, an important step in which the digital elevation model is derived from the classified point cloud, has received little attention from ar...
Preprint
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The adoption of the BIM approach (Building Information Modeling) is an established practice for infrastructure design in Nordic countries and is gradually becoming a mandatory requirement for big projects in other developed countries such as Italy. The current paper deals with the application of BIM to the Sotra Link Project (SLP), a complex projec...
Article
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River capture is a surficial process that can lead to drainage reorganization and have significant impacts on sediment dispersal and biotic evolution. Discovery and study of river capture events are helpful in revealing the history of drainage basins, however, the present-day identification of river capture mainly depends on field and map observati...
Article
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The decarbonization of the transport system requires a better understanding of human mobility behavior to optimally plan and evaluate sustainable transport options (such as Mobility as a Service). Current analysis frameworks often rely on specific datasets or data-specific assumptions and hence are difficult to generalize to other datasets or studi...
Article
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Actinomycetota (Actinobacteria) is an ecologically and industrially important phylum which is challenging to extract pure high-molecular-weight (HMW) DNA from. This protocol provides a parallelized, cost-effective, and straightforward approach for consistently extracting pure HMW DNA using modified non-toxic commercial kits suitable for higher thro...
Article
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The mapping of ecosystem service (ES) provisioning often lacks decision-makers’ preferences on the ESs provided. Analyzing the related uncertainties can be computationally demanding for a landscape tessellated to a large number of spatial units such as pixels. We propose stochastic multicriteria acceptability analyses to incorporate (unknown or onl...
Article
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Background Artificial intelligence (AI) is rapidly fuelling a fundamental transformation in the practice of pathology. However, clinical integration remains challenging, with no AI algorithms to date in routine adoption within typical anatomic pathology (AP) laboratories. This survey gathered current expert perspectives and expectations regarding t...
Article
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Background: Thyroid cancer is the most common endocrine cancer in the world. Accurately distinguishing between benign and malignant thyroid nodules is particularly important for the early diagnosis and treatment of thyroid cancer. This study aimed to investigate the best possible optimization strategies for an already-trained artificial intelligenc...
Article
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As water resources become scarce around the globe, a sustainable irrigation management is essential for increasing the crop use efficiency. Crop EvapoTranspiration (ET) is considered as one of the fundamental variables for correct irrigation management. Current ET prediction models adjust their system parameters: i) during time consuming training c...
Article
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Business process modeling (BPM) is a field of computer science that can be used by every organization to maintain its workflow pattern. Adopting this can significantly improve the workflow and can identify problems with the workflow in terms of resource optimization. In this article, the idea of representing the business processes of a Bangladeshi...
Article
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The emergency department (ED) is an opportune venue to screen for unmet social needs and connect patients with social services. This quality improvement study incorporates both qualitative and quantitative data to examine unmet social needs among ED patients and program implementation. From September 2020 to December 2021, an urban safety‐net hospi...
Article
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A suite of complementary techniques was used to examine germanium (Ge), a byproduct critical element, and co-substituent trace elements in ZnS and mine wastes from four mineral districts where germanium is, or has been, produced within the United States. This contribution establishes a comprehensive workflow for characterizing Ge and other trace el...
Article
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Background There are over 700,000 hairdressers in the United States, and it is estimated that >90% are female and 31% are Black or Hispanic/Latina. Racial and ethnic minorities in this workforce may be exposed to a unique mixture of potentially hazardous chemicals from products used and services provided. However, previous biomonitoring studies of...
Conference Paper
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Ores are becoming extremely variable with mineralogy and hardness disturbing the integrated crushing, grinding, flotation, and thickening processes. The current grinding and flotation sensors provide large amounts of data for process optimization. To augment the operational knowledge for proactive actions for improving the performance of the grindi...
Preprint
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In this work we investigate how models with advanced natural language processing capabilities can be used to reduce the time-consuming process of writing and revising scholarly manuscripts. To this end, we integrate large language models into the Manubot publishing ecosystem to suggest revisions for scholarly text. We tested our AI-based revision w...
Article
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Background Lifeguards may face many life-threatening situations during their careers and may be at increased risk of post-traumatic stress disorder (PTSD). Minimal evidence concerning critical incident management systems in lifeguard organisations exists. Objectives To develop, implement and evaluate an operational system for critical incident man...
Preprint
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Brain atlases are important reference resources for accurate anatomical description of neuroscience data. Open access, three-dimensional atlases serve as spatial frameworks for integrating experimental data and defining regions-of-interest in analytic workflows. However, naming conventions, parcellation criteria, area definitions, and underlying ma...
Article
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With the development of environmental and economic requirements, the light-load efficiency of DC/DC converters is increasingly important. However, many isolated regulated converters still use fixed-frequency control, which has low light-load efficiency. This paper proposes a new digital control method to improve the light-load efficiency under fixe...
Article
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With the continuous expansion of the scale of urban rail transit construction projects, it is difficult to improve the coordination in construction and the relevance of construction data. In order to solve the problem of data association in construction, an urban rail transit construction data association management system oriented to BIM Technolog...
Article
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Background It is well-known that the microbiome produces a myriad of specialised metabolites with diverse functions. To better characterise their structures and identify their producers in complex samples, integrative genome and metabolome mining is becoming increasingly popular. Metabologenomic co-occurrence-based correlation scoring methods facil...
Article
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The modelling of IoT applications utilising the resources of cloud and fog computing is not straightforward because they have to support various trigger-based events that make human life easier. The sequence of tasks, such as performing a service call, receiving a data packet in the form of a message sent by an IoT device, and managing actuators or...
Article
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Einleitung Ziel der Studie war die Analyse des diagnostischen Workflows von Patienten mit alveolärer Echinokokkose (AE) und die Identifikation möglicher diagnoseverzögernder Faktoren. Methoden Untersucht wurden die Anzahl und Art der diagnostischen Prozeduren von Patienten mit der Diagnose einer alveolären Echinokokkose. Die Erfassung der Krankheit...
Thesis
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Procurement compliance has been a challenge in public schools due to some identified issues leading to this research's primary purpose. This study was designed to achieve the following objectives: 1. Develop a business process tool to improve procurement compliance for selected public schools; and 2. Determine stakeholders' level of acceptability o...
Article
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The extensive use of machine learning inferences in real-life earth observation and remote sensing cases has grown over recent years. Network pruning has been carefully studied in various applications to speed up the machine learning workflow, but mainstream pruning strategies often focus on specific connection significancy rather than the sample d...
Article
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Small‐molecule organic semiconductors are promising materials for applications ranging from solar cells to medical sensors. Their nearly infinite design space means that, in theory, it is possible to tailor the material to the exact specifications of a particular application. In reality; however, design rules to improve mobility (μ) remain elusive...
Article
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The increasing availability of massive omics data requires improving the quality of reference databases and their annotations. The combination of full-length isoform sequencing (Iso-Seq) with short-read transcriptomics and proteomics has been successfully used for increasing proteoform characterization, which is a main ongoing goal in biology. Howe...
Article
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Edge computing aims to address the challenges associated with communicating and transferring large amounts of data generated remotely to a data center in a timely and efficient manner. A central pillar of edge computing is local (i.e., at- or near-source) data processing capability so that data transfer to a data center for processing can be minimi...
Article
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Atrophic edentulous mandible fractures are a challenge for maxillo-facial surgeons because of low vascularization, low bone regeneration, and lack of occlusion. Whereas occlusion is the main guide in the reduction of mandibular fractures, the aim of our study is to show the advantages of using virtual surgical planning (VSP) in surgery when the occ...
Article
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Grasslands are one of the world’s largest ecosystems, accounting for 30% of total terrestrial biomass. Considering that aboveground biomass (AGB) is one of the most essential ecosystem services in grasslands, an accurate and faster method for estimating AGB is critical for managing, protecting, and promoting ecosystem sustainability. Unmanned aeria...
Article
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The knowledge of product particle size distribution (PSD) in crystallization processes is of high interest for the pharmaceutical and fine chemical industries, as well as in research and development. Not only can the efficiency of crystallization/production processes and product quality be increased but also new equipment can be qualitatively chara...
Article
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Blockchain technology is revolutionizing all sectors of industries including the healthcare one. Blockchain technology applications have been realized in healthcare as they have the potential to revolutionize healthcare systems. Integrating blockchain into the design of supply chain design leads to decentralizing the management of the supply chain,...
Article
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Additive manufacturing (AM) in general and laser powder bed fusion (PBF-LB/M) in particular are becoming increasingly important in the field of production technologies. Especially the high achievable accuracies and the great freedom in design make PBF-LB/M interesting for the manufacturing and repair of gas turbine blades. Part repair involves buil...
Article
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Background: Polymer flooding is a well-known enhanced oil recovery technique which can increase recovery factors in mature oilfields above 10% of the oil originally in place. Despite a lengthy history and many published field cases, the speed of deployment is still rather slow. With the need to boost energy production while minimizing energy wastes...
Article
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The study aimed to identify the reality of applying equal educational opportunities in public schools in Irbid Kasbah directorate of education from its employees' perspectives (school principals, assistant principals, teachers, and administrators). The researcher used the descriptive approach in addition to a 22-item questionnaire spread over five...
Article
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Silently asymptomatic at an early stage and often painless, requiring only active surveillance, pca is traditionally diagnosed by a dre and a psa blood test. A histological examination, searching for pattern irregularities on the prostate glandular tissue, is performed to quantify the aggressiveness of pca. The assigned gs, usually combined with tr...
Preprint
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Endoluminal reconstruction using flow diverters represents a novel paradigm for the minimally invasive treatment of intracranial aneurysms. The configuration assumed by these very dense braided stents once deployed within the parent vessel is not easily predictable and medical volumetric images alone may be insufficient to plan the treatment satisf...
Preprint
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Worldwide, there is a need for certified clean plant materials to limit viral diseases spread. In order to design a robust and proactive viral-like disease certification, diagnostics, and management program, it is essential to have a fast, inexpensive, and user-friendly tool. The purpose of this study was to determine whether dsRNA-based nanopore s...
Method
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In the field of design, a field that many have speculated that artificial intelligence has no job since it can never replace human imagination and creativity, they were wrong. Last year a program called midjouerny was launched. Midjourney is an AI based art generator to increase the imagination of the people who use it by creating new methodologies...
Article
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Marine sponges have recently been recognized as natural samplers of environmental DNA (eDNA) due to their effective water filtration and their ubiquitous, sessile, and regenerative nature. However, laboratory workflows for metabarcoding of sponge tissue have not been optimized to ensure that these natural samplers achieve their full potential for c...
Article
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Floodplains provide numerous ecosystem services that depend on the spatial heterogeneity, or patchiness, of the floodplain. Direct and indirect human alterations of rivers can reduce floodplain heterogeneity and function, but relatively little is known of patterns of floodplain heterogeneity in natural, fully functional floodplains. We quantify flo...
Article
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It is becoming increasingly attractive to execute workflows in the cloud, as the cloud environment enables scientific applications to utilize elastic computing resources on demand. However, despite being a key to efficiently managing application execution in the cloud, traditional workflow scheduling algorithms face significant challenges in the cl...
Article
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The use of computational tools for the development of technologies in fields such as medicine and engineering has facilitated the process of designing new components and devices for these areas. In this work, two proposals focused on a hollow microneedle array (MNA) for the administration of an analgesic drug are shown and evaluated by means of a c...
Article
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Background: Even though mandibular condyle fractures have a high clinical relevance, their treatment remains somewhat challenging. Open reduction and internal fixation are difficult due to narrow surgical approaches, poor overview during reduction, and a possible risk of facial nerve damage. In times of technical endeavors in surgery, there is a t...
Conference Paper
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In recent years, the need to digitize and create digital twins of architectural and artistic heritage has been confirmed and accelerated. In this context, the DIDA-LXR (Laboratory for eXtended Reality) of the DIDALABS system, has carried out a series of research on the use of Virtual and Augmented Reality solutions to create and support activities...
Preprint
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Advances in high-throughput simulation (HTS) software enabled computational databases and big data to become common resources in materials science. However, while computational power is increasingly larger, software packages orchestrating complex workflows in heterogeneous environments are scarce. This paper introduces mkite, a Python package for p...
Article
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The development of direct electron detectors has played a key role in low-dose electron microscopy imaging applications. Monolithic active-pixel sensor detectors are currently widely applied for cryogenic electron microscopy (cryo-EM); however, they have best performance at 300 kV, have relatively low read-out speed and only work in imaging mode. H...
Article
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Natural language has proven to be a valuable source of data for various scientific inquiries including landscape perception and preference research. However, large high quality landscape relevant corpora are scare. We here propose and discuss a natural language processing workflow to identify landscape relevant documents in large collections of uns...
Article
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Purpose: To introduce a digital workflow for the prediction of facial aesthetics, especially in patients with dentation deformity caused by maxillofacial trauma. Methods: Cone-beam computed tomography (CBCT) and three-dimensional facial scans of patients with radiographic prostheses were collected. The aforementioned data were uploaded to ProPlan C...
Article
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Background Electronic clinical decision support tools (eCDS) are increasingly available to assist General Practitioners (GP) with the diagnosis and management of a range of health conditions. It is unclear whether the use of eCDS tools has an impact on GP workload. This scoping review aimed to identify the available evidence on the use of eCDS tool...
Article
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While patient‐reported outcome measures (PROMs) have benefit in cancer clinical trials, real‐world applications are lacking. This study describes the method of implementation of a cancer enterprise‐wide PROMs platform. After establishing a multispecialty stakeholder group within a large integrated health system, domain‐specific instruments were sel...
Article
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In the last several years, laboratory automation and high‐throughput synthesis and characterization have come to the forefront of the research community. The large datasets require suitable machine learning techniques to analyze the data effectively and extract the properties of the system. Herein, the binary library of metal halide perovskite (MHP...
Article
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Given the accelerated technological advance in all fields, vast knowledge of digital tools becomes mandatory for future interior designers and architects. Thus, experimenting with as many such methods and technologies must become a priority for the teaching process. Noticing a high demand for digitalization during the COVID-19 pandemic, the Polytec...
Article
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Technological innovations and advanced multidisciplinary research increase the demand for multisensor data fusion in Earth observations. Such fusion has great potential, especially in the remote sensing field. One sensor is often insufficient in analyzing urban environments to obtain comprehensive results. Inspired by the capabilities of hyperspect...
Technical Report
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Research that evaluates the usage of mainstream imputation methods in regression modeling of the grade and tonnage of ore deposits.
Article
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Generating and analyzing overlapping peptides through multienzymatic digestion is an efficient procedure for de novo protein using from bottom-up mass spectrometry (MS). Despite improved instrumentation and software, de novo MS data analysis remains challenging. In recent years, deep learning models have represented a performance breakthrough. Inco...
Article
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Background: Lean Healthcare Management is an innovative approach to process management in healthcare organizations. Despite that the Lean principles have been increasingly recognized worldwide as a tool to boost organizational performance, improve the quality of care and curb waste, the Lean methodology can be difficult to implement in some countr...
Article
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Para Kala-azar Dermal Leishmaniasis (Para-KDL) manifests the concomitant presence of Post Kala-azar Dermal Leishmaniasis and Visceral Leishmaniasis and works as a reservoir of infection. The study discusses the cases and their management and aims to address the gaps within existing methods of diagnosis and treatment. This retrospective cross-sectio...
Preprint
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There is wide interest to determine the dynamic expression of proteins and other molecules that drive phenotypic remodeling in development and pathobiology, but due to technical limitations these systems remain largely unexplored at the resolution of the underlying cell states. Here, we present DESP, a novel algorithm that leverages independent rea...
Article
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Forest management depends on forest condition data and the ability to quantify the impacts of management activities to make informed decisions. Spatially quantifying water yield (WY) from forests across large landscapes enables managers to consider potential WY changes when designing forest management plans. Current forest water yield datasets are...
Preprint
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Mathematical modelling and dynamic simulations are commonly used in systems medicine to investigate the interactions between various biological entities in time. The level of model complexity is mainly restricted by the number of model parameters that can be estimated from available experimental data and prior knowledge. The calibration of dynamic...
Article
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Effective output from data centers are determined by many complementary factors. Often, attention is paid to only a few, at first glance, the most significant of them. For example, this is the efficiency of the scheduler, the efficiency of resource utilization by user tasks. At the same time, a more general view of the problem is often missed: the...
Preprint
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The field of scientific publishing that is served by LaTeX is increasingly dependent on the availability of metadata about publications. We discuss how to use LaTeX classes and BibTeX styles to curate metadata throughout the life cycle of a published article. Our focus is on streamlining and automating much of publishing workflow. We survey the var...
Preprint
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North Sea Last Interglacial sea level is sensitive to the fingerprint of mass loss from polar ice sheets. However, the signal is complicated by the influence of glacial isostatic adjustment driven by the Penultimate Glacial Period Eurasian ice sheet and its geometry remain significantly uncertain. Here, we produce new reconstructions of the Eurasia...
Article
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Two-dimensional video-based pose estimation is a technique that can be used to estimate human skeletal coordinates from video data alone. It is also being applied to gait analysis and in particularly, due to its simplicity of measurement, it has the potential to be applied to gait analysis of large populations. However, it is considered difficult t...