Definition Of Characteristics Research Articles

Linguistic Markers of Subtle Cognitive Impairment in Connected Speech: A Systematic Review.

This systematic review covers the current stage of research on subtle cognitive impairment with connected speech. It aims at surveying the linguistic features in use to single out those that can best identify patients with mild neurocognitive disorders (mNCDs), whose cognitive changes remain underdiagnosed. We followed the Preferred Reporting Items for Systematic Reviews and Meta-analyses guidelines and proposed a full definition of features for the analysis of speech features. Fifty-one studies met the inclusion criteria. Most of them focused on age-related progressive diseases and included fewer than 30 subjects. A total of 384 features labeled with 335 different names was retrieved, yielding various results in discriminating individuals with mNCDs from controls. This finding highlights the need for harmonized labels to further investigate mNCDs with linguistic markers. We suggest two different ways of assessing a feature's reliability. We also point out potential methodological issues that remain to be resolved, along with recommendations for reproducible research in the field.

High-grade Endometrial Carcinomas With Solid Basaloid Morphology and Geographic Necrosis Lacking Definitive Pilomatrix-like Features: Clinicopathologic Characteristics Including Aggressive Behavior and Novel Molecular Events.

High-grade endometrioid carcinomas occasionally demonstrate solid basaloid morphology with geographic necrosis (SB-GN). This pattern is among the defining features of pilomatrix-like high-grade endometrioid carcinoma (PiMHEC), a recently proposed tumor type which is additionally characterized by the presence of shadow cells, abnormal beta-catenin/CTNNB1 mutations, strong CDX2 expression, and poor outcomes. Clinicopathologic overlap between PiMHEC and other high-grade endometrial cancers with SB-GN has not been established. We screened 300 endometrial carcinomas on tissue microarray for SB-GN histology and performed a detailed whole-section morphologic review, immunohistochemical analysis, and next-generation sequencing on all cases bearing this pattern. Four (1.3%) demonstrated SB-GN. All 3 with clinical follow-up had extremely aggressive behavior despite being MMR-deficient; in contrast, only 27% of other MMR-deficient high-grade carcinomas recurred. One SB-GN case met most of the previously outlined diagnostic criteria for PiMHEC including abnormal beta-catenin/CTNNB1 (p.S37P variant) and strong CDX2 expression; notably, however, shadow cells were absent. This case also demonstrated a KRAS p.A59T pathogenic variant. The other 3 cases also lacked shadow cells; the 2 with sequencing data bore no CTNNB1 abnormalities but showed likely oncogenic variants involving the pilomatrixoma-associated gene FGFR2. All 3 cases with molecular results also bore somatic Notch pathway (NOTCH1/NOTCH2/NOTCH3) variants. The single case treated with immunotherapy showed complete and sustained response with regression of bone metastases despite abnormal beta-catenin/CTNNB1, which has been associated with immunotherapeutic resistance. These data suggest that the SB-GN pattern may connote a poor prognosis even in the absence of overt pilomatrix-like differentiation, and that novel molecular events may have implications for the treatment of these tumors.

Lessons learned: strategies for implementing and the ongoing use of LI-RADS in your practice.

The establishment of the Liver Imaging Reporting and Data System (LI-RADS) in 2011 provided a comprehensive approach to standardized imaging, interpretation, and reporting of liver observations in patients diagnosed with or at risk for hepatocellular carcinoma (HCC). Each set of algorithms provides criteria pertinent to the various components of HCC management including surveillance, diagnosis, staging, and treatment response supported by a detailed lexicon of terms applicable to a wide range of liver imaging scenarios. Before its widespread adoption, the variability in the terminology of diagnostic criteria and definitions of imaging features led to significant challenges in patient management and made it difficult to replicate findings or apply them consistently. The integration of LI-RADS into the clinical setting has enhanced the efficiency and clarity of communication between radiologists, referring providers, and patients by employing a uniform language that averts miscommunications. LI-RADS has been strengthened with its integration into the American Association for Study of Liver Diseases practice guidelines. We will provide the background on the initial development of LI-RADS and reasons for development to serve as a starting point for conveying the system's benefits and evolution over the years. We will also suggest strategies for the implementation and maintenance of a LI-RADS program will be discussed.

Clarification the terms and definitions related to neurofibromatosis type 1

To summarize the terms and definitions related to neurofibromatosis type 1 (NF1) with a view to standardizing and unifying the existing terminology system. To review the research literature related to NF1 at home and abroad, and to summarize the expressions of the disease and related terms. There are still some limitations in the current knowledge of NF1, especially in the expression of the terminology, and there are discrepancies in the description and naming of NF1-related features in different medical literatures and clinical guides. There are differences in the description and naming of NF1-related features in different medical literature and clinical guidelines. Through a systematic review of the literature, this paper provides a detailed compendium and summary of the terms and definitions of NF1-related clinical manifestations, pathological features, and genetic types, and further standardizes and unifies existing diagnostic criteria and terminology systems. The terms and definitions of NF1-related clinical manifestations are summarized to enhance the knowledge of clinicians and researchers related to NF1.

Features of Definitions of Modern Terminology of Ecological and Economic Processes

The article considers approaches to definitions of terms used to analyze the impact of production and human activity on the environment. Understanding the essence of the term allows you to correctly assess and build actions to manage processes affecting environmental violations. The purpose of the article is to define a category reflecting the integration of economic and environmental goals of human activity. Definitions of the most common ecological and economic terms are considered. The author's approach to the definition of the term environmental friendliness of production is proposed and its significance is substantiated.

7355 A Case of High-Risk Thyroid Tumor Markers Found in Subcutaneous Thyroid Implants in a Patient with Benign Thyroid Pathology

Abstract Disclosure: J. Fedorko: None. S. Fatima: None. A.P. Amblee: None. C.A. Poku: None. Background: While fine needle aspiration (FNA) remains the primary diagnostic tool for thyroid malignancies, the utilization of molecular markers has become increasingly common in the workup of thyroid nodules. They play a useful role in distinguishing between malignant and benign pathology when cytology is indeterminate and in formulating treatment plans. The vast majority of research for these genetic markers is conducted in cases with thyroid malignancy. However, there have been numerous cases where these genetic markers were identified in benign thyroid tissue. Case: A 73-year-old male with left hemithyroidectomy (benign left nodule) presented 6 years later with new superficial neck nodules along the midline, left thyroid bed and R thyroid lobe. FNA of the right thyroid nodule was benign. Three months later the patient underwent an excision of the midline neck nodules which revealed thyroid tissue arranged in nests of fibrotic tissue without definite features of papillary thyroid carcinoma. Molecular analysis (Thyroseq) was positive for HRAS, E1F1AX and TERT mutations thus metastatic follicular carcinoma was suspected. The patient underwent complete thyroidectomy. Pathology revealed normal thyroid tissue and a diagnosis of thyroid neck implants was made. Given the benign pathology, the plan was for close follow-up with neck imaging every 6 months. Discussion: Thyroid tissue implants can rarely be caused by previous surgical interventions, especially partial thyroidectomy. There is literature documenting similar clinical cases in which subcutaneous thyroid implants are found in patients after undergoing total or subtotal thyroidectomy. In one case series, there were cases in which thyroid implants were discovered 26 years post-surgery, with most of the cases reporting benign pathology. Given our patient’s presentation and clinical history, the possibility remains that his subcutaneous tissue findings were caused by his prior partial thyroidectomy. A recent article reviewed 60 publications and >8000 patients for the prevalence of high-risk tumor markers (RAS mutation, RET/PTC, and PAX8/PPAR-gamma chromosomal rearrangements) in benign thyroid tissue. They concluded that prevalence findings were highly variable, warning providers to exercise caution when using these genetic markers to guide diagnosis and treatment decisions. Conclusion: While certain high-risk genetic tumor markers are increasingly used to help identify thyroid malignancies, it is important to keep in mind that these genetic markers are not exclusively found in cancerous tissue, and should not be used as the sole diagnostic tool for diagnosis and treatment. While it is imperative that metastatic disease is ruled out, it is essential to consider other pathologies when evaluating recurrent thyroid and neck masses in patients with a history of benign thyroid lesions. Presentation: 6/3/2024

Dermoscopic Distinction of Tinea Incognito on the Face and Topical Steroid Damaged Face: A Cross-Sectional Study in Skin of Color

Abstract Background: Dermatophytosis is widespread in India due to recalcitrant and resistant infection. Tinea incognito (TI) is modified dermatophytosis due to the inadvertent use of topical steroids (TS). Similarly, topical steroid-damaged face (TSDF) is caused by prolonged use of TS. Distinction of TI and TSDF is difficult when the face is affected. Dermoscopy can assist in the differentiation of both by revealing characteristic features. We evaluated the dermoscopic features in TI affecting the face and TSDF. Aims and Objectives: To evaluate the clinical and dermoscopic features of TI affecting the face and TSDF. To observe the involvement of eyelids in TI as opposed to TSDF. Materials and Methods: The study was conducted in a tertiary hospital after obtaining ethical clearance and informed consent. Patients with signs of TI or TSDF were enrolled and demographic data were collected. Patients who had applied TS/combination creams were included. A handheld dermoscope with 10x magnification was used. A potassium hydroxide mount was used to confirm the diagnosis of TI. Results: Out of 80 patients, 27 males and 53 females were present. The mean duration of application was 8.25 ± 7 months. Clinical features were pruritus, erythema, scaling, and burning sensation. Eyelid involvement was noted in TI while it was spared in TSDF. On dermoscopy, morphological features were predominant in TI whereas vascular structures were found in TSDF in addition to white rosettes. Conclusion: Dermoscopy distinguishes TI from TSDF comprehensively by demonstrating definitive features. In addition, the involvement of the eyelid is an excellent clinical sign of TI.

Analyzing the Interplay Between Competition State Anxiety, Motor Motivation, and Coping Styles Among Adolescent Track and Field Athletes

The relationship between competition state anxiety, motor motivation and coping styles of adolescent track and field athletes in China was investigated using interview and questionnaire research methods. The results showed that the mean scores of cognitive state anxiety and somatic state anxiety were lower in junior track and field athletes who had entered the echelon for a short period of time than in older athletes, and the opposite was true for state self-confidence; there were highly significant differences and significant differences in the identity regulation and introjection regulation dimensions of motor motivation; and there were significant differences in the focused problem-solving coping dimension of coping style. This paper proposes an algorithm for classifying athletic visual mirrors based on sequential model mining. This paper focuses on two issues – feature extraction and definition of semantic rules. In the feature extraction stage, the track and field video footage is automatically segmented into a series of identifiable sequences of athletic events, and then each type of behavioral event is identified using a mechanically learned algorithm. There were no significant differences between the three age groups in terms of race state anxiety, identity regulation and introjection regulation, and no significant differences in coping styles. There were no significant differences in the anxiety of competition status, motivation and coping styles among youth athletes of different sport levels. The results showed the effectiveness of the present algorithm for classifying track and field video cameras.

Comparison of Deep Learning Models for Multi-Crop Leaf Disease Detection with Enhanced Vegetative Feature Isolation and Definition of a New Hybrid Architecture

Comparison of Deep Learning Models for Multi-Crop Leaf Disease Detection with Enhanced Vegetative Feature Isolation and Definition of a New Hybrid Architecture

Ethnodemographic Processes in the Border Regions of Asian Russia in the New Conditions of the Turn to the East

The analysis of ethnodemographic processes is relevant not only because of the negative demographic trends growing in the regions of Asian Russia, but also in connection with Russia’s turn to the East. The authors of the article give a detailed description of the modern ethnic composition of the population in the regions of the Ural, Siberian, and Far Eastern Federal Districts of the Russian Federation and the regions bordering them, those of Kazakhstan, China, and Mongolia. The object of the study were Russians, Kazakhs, Tuvinians, Mongols, and Chinese. Special attention is paid to the analysis of their number and location, and the identification of factors and consequences of changes in the ethnic composition of the population. A definitive feature of the border regions is the high proportion and absolute number of those peoples who make up the majority of the population of neighboring States. At the same time, the demographic behavior of the peoples living on different sides of the border differs. In studying the ethnodemographic processes, the increasing demographic asymmetry between the regions of Russia and neighboring states causes the greatest attention and certain concern. In the regions of the Asian part of Russia, the total population is decreasing, largely due to Russians who have a predominant model of reproduction of the population with a low birth rate and relatively high mortality. Kazakhs, Buryats, and Tuvinians in Russia are characterized by stable numbers and reproduction, although there is a tendency to decrease the birth rate. In the border areas of Kazakhstan, the tendency towards a decrease in the number of the Russian population and its replacement by a titular nationality does not weaken.

Dissemination of Retinoblastoma Post-Enucleation: Histopathological Risk Factors Review

Introduction: Examining the histopathological markers indicative of high risk in retinoblastoma is imperative for evaluating the potential for post-enucleation recurrence and metastatic spread. Purpose: This article seeks to elucidate diverse definitions of high-risk histopathological features in advanced retinoblastoma, which confer susceptibility to recurrence and metastasis following enucleation. Review: Reducing mortality rates associated with retinoblastoma poses a significant clinical challenge. It is well-established that post-laminar optic nerve invasion, extensive choroidal invasion, and scleral invasion are key features commonly observed in advanced retinoblastoma cases requiring enucleation. Conclusion: The presence of these features in advanced retinoblastoma necessitates adjunctive therapeutic interventions to reduce the risk of orbital recurrence or metastatic spread, thereby enhancing patient survival rates.

Organizing in the Folding of Time: Shaping organizational change trajectories at turning points

Organizational change research has shown how change processes in organizations connect sequentially to form a trajectory of change through time; however, research has yet to offer an understanding of how ongoing organizational change integrates more distant change processes across time to shape the organization’s long-term trajectory. To better understand the dynamics between ongoing change and the shaping of trajectories, we refer to change processes as turning points, arguing that turning points are immanent to – and formative of – trajectories. We define turning points in terms of their definitional, directional and curvilinear features, which we relate to the shaping of organizational change trajectories. Drawing on Deleuze’s concept of the fold and the distinction between actual and singular events, we theorize how actors connect past and future turning points of the trajectory as singular events into enacting the actual events of the current turning point. Inspired by Deleuze’s conception of the fold, we then develop a theoretical framework for the shaping of organizational change trajectories at turning points. This framework contributes to current change research by explaining how ongoing change processes give shape to trajectories of change that subsequently shape the ongoing process of change. It also contributes to the literature by proposing a more dynamic and central role of continuity in change. Finally, our use of Deleuze’s concept of the fold enables us to suggest how theorizing actors’ movement through time may extend current process views of time.

Improving realty management ability based on big data and artificial intelligence decision-making.

Realty management relies on data from previous successful and failed purchase and utilization outcomes. The cumulative data at different stages are used to improve utilization efficacy. The vital problem is selecting data for analyzing the value incremental sequence and profitable utilization. This article proposes a knowledge-dependent data processing scheme (KDPS) to augment precise data analysis. This scheme operates on two levels. Data selection based on previous stagnant outcomes is performed in the first level. Different data processing is performed in the second level to mend the first level's flaws. Data processing uses knowledge acquired from the sales process, amenities, and market value. Based on the knowledge determined from successful realty sales and incremental features, further processing for new improvements and existing stagnancy mitigation is recommended. The stagnancy and realty values are used as knowledge for training the data processing system. This ensures definite profitable features meeting the amenity requirements under reduced stagnancy time. The proposed scheme improves the processing rate, stagnancy detection, success rate, and training ratio by 8.2%, 10.25%, 10.28%, and 7%, respectively. It reduces the processing time by 8.56% compared to the existing methods.

Immune signature in vaccinated versus non-vaccinated aged people with COVID-19 pneumonia

BackgroundA definition of the immunological features of COVID-19 pneumonia is needed to support clinical management of aged patients. In this study, we characterized the humoral and cellular immune responses in presence or absence of SARS-CoV-2 vaccination, in aged patients admitted to the IRCCS San Raffaele Hospital (Italy) for COVID-19 pneumonia between November 2021 and March 2022.MethodsThe study was approved by local authorities. Disease severity was evaluated according to WHO guidelines. We tested: (A) anti-SARS-CoV-2 humoral response (anti-RBD-S IgG, anti-S IgM, anti-N IgG, neutralizing activity against Delta, BA1, BA4/5 variants); (B) Lymphocyte B, CD4 and CD8 T-cell phenotype; (C) plasma cytokines. The impact of vaccine administration and different variants on the immunological responses was evaluated using standard linear regression models and Tobit models for censored outcomes adjusted for age, vaccine doses and gender.ResultWe studied 47 aged patients (median age 78.41), 22 (47%) female, 33 (70%) older than 70 years (elderly). At hospital admission, 36% were unvaccinated (VACno), whilst 63% had received 2 (VAC2) or 3 doses (VAC3) of vaccine. During hospitalization, WHO score > 5 was higher in unvaccinated (14% in VAC3 vs. 43% in VAC2 and 44% VACno). Independently from vaccination doses and gender, elderly had overall reduced anti-SARS-CoV-2 humoral response (IgG-RBD-S, p = 0.0075). By linear regression, the anti-RBD-S (p = 0.0060), B (p = 0.0079), CD8 (p = 0.0043) and Th2 cell counts (p = 0.0131) were higher in VAC2 + 3 compared to VACno. Delta variant was the most representative in VAC2 (n = 13/18, 72%), detected in 41% of VACno, whereas undetected in VAC3, and anti-RBD-S production was higher in VAC2 vs. VACno (p = 0.0001), alongside neutralization against Delta (p = 0141), BA1 (p = 0.0255), BA4/5 (p = 0.0162). Infections with Delta also drove an increase of pro-inflammatory cytokines (IFN-α, p = 0.0463; IL-6, p = 0.0010).ConclusionsAdministration of 3 vaccination doses reduces the severe symptomatology in aged and elderly. Vaccination showed a strong association with anti-SARS-CoV-2 humoral response and an expansion of Th2 T-cells populations, independently of age. Delta variants and number of vaccine doses affected the magnitude of the humoral response against the original SARS-CoV-2 and emerging variants. A systematic surveillance of the emerging variants is paramount to define future vaccination strategies.

HDR-ChipQA: No-reference quality assessment on High Dynamic Range videos

We present a no-reference video quality model and algorithm that delivers standout performance for High Dynamic Range (HDR) videos, which we call HDR-ChipQA. HDR videos represent wider ranges of luminances, details, and colors than Standard Dynamic Range (SDR) videos. The growing adoption of HDR in massively scaled video networks has driven the need for video quality assessment (VQA) algorithms that better account for distortions on HDR content. In particular, standard VQA models may fail to capture conspicuous distortions at the extreme ends of the dynamic range, because the features that drive them may be dominated by distortions that pervade the mid-ranges of the signal. We introduce a new approach whereby a local expansive nonlinearity emphasizes distortions occurring at the higher and lower ends of the local luma range, allowing for the definition of additional quality-aware features that are computed along a separate path. These features are not HDR-specific, and also improve VQA on SDR video contents, albeit to a reduced degree. We show that this preprocessing step significantly boosts the power of distortion-sensitive natural video statistics (NVS) features when used to predict the quality of HDR content. In similar manner, we separately compute novel wide-gamut color features using the same nonlinear processing steps. We have found that our model significantly outperforms SDR VQA algorithms on the only publicly available, comprehensive HDR database, while also attaining state-of-the-art performance on SDR content.

Contrast enhancement patterns associated with acute stroke in moyamoya disease using MR vessel wall imaging.

High-resolution magnetic resonance imaging (HR-MRI) can provide valuable insights into the histopathological characteristics of moyamoya disease (MMD). However, the patterns of vessel wall contrast enhancement have not been well established. We aimed to identify the contrast enhancement patterns of the vessel walls associated with acute cerebral infarction using HR-MRI in MMD. In this retrospective study, we conducted genetic tests for Ring Finger Protein 213 (RNF213) and performed HR-MRI on patients suspected of having MMD. We analyzed wall enhancement patterns including concentric, eccentric, or mixed enhancement types, and the occurrence of acute cerebral infarction in patients who simultaneously tested positive for RNF213 and exhibited definite features of MMD on HR-MRI. Among 306 patients who underwent RNF213 tests for the evaluation of MMD, 56 showed positive RNF213, and HR-MRI was performed on 32 of them. Among the patients with acute cerebral infarction, the incidence rate was significantly higher in the group with concentric wall enhancement compared to patients without acute cerebral infarction (73.3%vs. 17.0%, p<.002). Furthermore, the incidence was notably elevated, even in patients with pure concentric wall enhancement (40.0%vs. 5.9%, p=.033). The area under the curve (AUC) for the group with any concentric wall enhancement showed a significant result of.78 (95% confidence interval [CI]:.61-.95, p=.007), whereas the predictive ability for pure concentric wall enhancement did not reach significance (AUC=.67, 95% CI:.48-.86, p=.100). Concentric wall enhancement was a significant predictor of acute cerebral infarction in patients with MMD.

A scalable and transparent data pipeline for AI-enabled health data ecosystems.

Transparency and traceability are essential for establishing trustworthy artificial intelligence (AI). The lack of transparency in the data preparation process is a significant obstacle in developing reliable AI systems which can lead to issues related to reproducibility, debugging AI models, bias and fairness, and compliance and regulation. We introduce a formal data preparation pipeline specification to improve upon the manual and error-prone data extraction processes used in AI and data analytics applications, with a focus on traceability. We propose a declarative language to define the extraction of AI-ready datasets from health data adhering to a common data model, particularly those conforming to HL7 Fast Healthcare Interoperability Resources (FHIR). We utilize the FHIR profiling to develop a common data model tailored to an AI use case to enable the explicit declaration of the needed information such as phenotype and AI feature definitions. In our pipeline model, we convert complex, high-dimensional electronic health records data represented with irregular time series sampling to a flat structure by defining a target population, feature groups and final datasets. Our design considers the requirements of various AI use cases from different projects which lead to implementation of many feature types exhibiting intricate temporal relations. We implement a scalable and high-performant feature repository to execute the data preparation pipeline definitions. This software not only ensures reliable, fault-tolerant distributed processing to produce AI-ready datasets and their metadata including many statistics alongside, but also serve as a pluggable component of a decision support application based on a trained AI model during online prediction to automatically prepare feature values of individual entities. We deployed and tested the proposed methodology and the implementation in three different research projects. We present the developed FHIR profiles as a common data model, feature group definitions and feature definitions within a data preparation pipeline while training an AI model for "predicting complications after cardiac surgeries". Through the implementation across various pilot use cases, it has been demonstrated that our framework possesses the necessary breadth and flexibility to define a diverse array of features, each tailored to specific temporal and contextual criteria.

The concept of an ideocratic state

Relevance. It is quite obvious that the modern world has entered a new stage of its development, the prospects of which are very vague. The model of the mondial world order with its ideas of faceless globalization, depopulation, universalization, de-Christianization, etc. are rejected by Russia. Recently, in political discourse and in official strategic planning documents, Russia has been called a civilization state with a pronounced identity. In the Russian conservative legal doctrine, the definition of specific features of Russia's state identity was a key topic, and the priority of intangible values was noted as the main feature of Orthodox civilization. It is no coincidence that Russian socio-political thought has always been puzzled by the search for a Russian idea. In this regard, the concept of ideocratic statehood is of particular interest, the main meaning of which was to search for a key idea or system of ideas on the basis of which the state should be built.The aim is to reconstruct and interpret the theory of the ideocratic state of the Russian conservative political and legal doctrine of the late XIX - first half of the XX centuries.Research objectives: to study the evolution of the concept of an ideocratic state, to analyze its conceptual apparatus, to comprehend the importance of state ideology for the modern stage of development.Methodology. It is based on the historical method of cognition, which contributed to the disclosure of the evolution of the theory under study, the method of diachronic and synchronous comparison, as well as a problem-theoretical one, which allows determining the degree of modern relevance of the concept under study.Results. The conducted research allowed us to establish that the concept of ideocratic statehood was mainly formed in the works of representatives of the socio-political movement of Eurasians, which originated in the 20-30 years among Russian emigration. The most significant contribution to the theoretical development of the doctrine of the ideocratic state was made by N.N. Alekseev. It was he who generalized the ideas of the Eurasians, conceptualizing them into a legally sound theory of demotic ideocracy or a guarantee state.Conclusion. Ideocracy is a concept of governance based on the postulate of idealism, based on which the definition of the state as a single super-organic entity, where the idea shared by all the people rules.

Going Beyond Surface Language: An Exploratory Evaluation of Nursing Ontology Mappings.

A range of approaches have been used to develop and evaluate terminology mapping. In seeking to enhance existing methods this exploratory feasibility study examined a small subset of existing equivalency mappings between the International Classification for Nursing Practice and SNOMED CT. To identify potential inconsistencies in allocation, comparisons were made for each concept in each equivalency mapping, through a manual review of a) compositionality and specificity of asserted and inherited relationships, and b) ancestors through to root. There were similarities and several differences across the mappings which were both structural and definitional in nature. In order to demonstrate practical utility, the approach piloted in the present study might benefit from scaling up and a degree of automation. However, the study has demonstrated it is both feasible and potentially useful when evaluating terminology mapping to go beyond the surface language of mapped terms, and to consider the deeper definitional features of the underlying concepts.

Variational Feature Extraction in Scientific Visualization

Across many scientific disciplines, the pursuit of even higher grid resolutions leads to a severe scalability problem in scientific computing. Feature extraction is a commonly chosen approach to reduce the amount of information from dense fields down to geometric primitives that further enable a quantitative analysis. Examples of common features are isolines, extremal lines, or vortex corelines. Due to the rising complexity of the observed phenomena, or in the event of discretization issues with the data, a straightforward application of textbook feature definitions is unfortunately insufficient. Thus, feature extraction from spatial data often requires substantial pre- or post-processing to either clean up the results or to include additional domain knowledge about the feature in question. Such a separate pre- or post-processing of features not only leads to suboptimal and incomparable solutions, it also results in many specialized feature extraction algorithms arising in the different application domains. In this paper, we establish a mathematical language that not only encompasses commonly used feature definitions, it also provides a set of regularizers that can be applied across the bounds of individual application domains. By using the language of variational calculus, we treat features as variational minimizers, which can be combined and regularized as needed. Our formulation not only encompasses existing feature definitions as special case, it also opens the path to novel feature definitions. This work lays the foundations for many new research directions regarding formal definitions, data representations, and numerical extraction algorithms.