Relevant Terms Research Articles

3D printing in orthodontics: A narrative review

Aim: Digital technology profoundly impacts every aspect of orthodontics, from diagnosis and treatment planning to appliance fabrication. Integrating computer-aided designing tools and rapid prototyping hardware has allowed orthodontic practices and laboratories worldwide to revolutionize their workflows. This narrative review aims to consolidate literature findings regarding the use of three-dimensional (3D) printing technology in orthodontics in terms of its current state of development and availability while also exploring the type of printing technology used, accuracy, and efficiency of its potential use in clinical orthodontics. Materials and Methods: 3D printing in orthodontics has been the subject of a comprehensive electronic literature search from 2010 to 2020 using PubMed and Google Scholar databases with relevant MeSH terms and keywords. Orthodontics, 3D printing, 3D-printing processes, accuracy, precision, and efficiency were used to identify studies for this review. Two calibrated reviewers separately applied inclusion and exclusion criteria to each article. Selected article references were checked to expand the article search. Types of 3D printers, assessment techniques, and examined parameters were considered for data extraction, and qualitative analysis was done for evidence synthesis. Results: The search strategy yielded 108 titles. Thirty-six articles that met our inclusion criteria were included in the qualitative analysis: 20 articles were about cast models, seven about indirect bonding, three about aligners, and six about surgical splint fabrication. The most common 3D-printed device types were models. The most commonly used 3D-printing techniques are stereolithography and digital light processing for orthodontic applications. 3D-printed clear aligners are more precise than thermoformed clear dental aligners. Digital occlusal splint and surgical templates increase accuracy, reliability, and efficiency than a conventional one. Conclusions: A 3D printer can be used by the orthodontist to create an entirely digital workflow. Although the 3D-printing technologies used for orthodontic appliance fabrication have demonstrated equal or superior accuracy to conventional models, there is insufficient evidence to conclude that one type of printing is more accurate and efficient than the others. These findings suggest that conventional impressions and stone models can be eliminated, reducing the amount of storage required in the office and improving practice efficiency, appliance fit, and model reuse. Digital 3D-printed appliances are more accurate, reliable, and efficient than conventional ones. Future research must identify potential 3D-printing technology specific to various orthodontic procedures.

A Comprehensive Bioinformatics Approach to Identify Molecular Signatures and Key Pathways for the Huntington Disease.

Huntington disease (HD) is a degenerative brain disease caused by the expansion of CAG (cytosine-adenine-guanine) repeats, which is inherited as a dominant trait and progressively worsens over time possessing threat. Although HD is monogenetic, the specific pathophysiology and biomarkers are yet unknown specifically, also, complex to diagnose at an early stage, and identification is restricted in accuracy and precision. This study combined bioinformatics analysis and network-based system biology approaches to discover the biomarker, pathways, and drug targets related to molecular mechanism of HD etiology. The gene expression profile data sets GSE64810 and GSE95343 were analyzed to predict the molecular markers in HD where 162 mutual differentially expressed genes (DEGs) were detected. Ten hub genes among them (DUSP1, NKX2-5, GLI1, KLF4, SCNN1B, NPHS1, SGK2, PITX2, S100A4, and MSX1) were identified from protein-protein interaction (PPI) network which were mostly expressed as down-regulated. Following that, transcription factors (TFs)-DEGs interactions (FOXC1, GATA2, etc), TF-microRNA (miRNA) interactions (hsa-miR-340, hsa-miR-34a, etc), protein-drug interactions, and disorders associated with DEGs were predicted. Furthermore, we used gene set enrichment analysis (GSEA) to emphasize relevant gene ontology terms (eg, TF activity, sequence-specific DNA binding) linked to DEGs in HD. Disease interactions revealed the diseases that are linked to HD, and the prospective small drug molecules like cytarabine and arsenite was predicted against HD. This study reveals molecular biomarkers at the RNA and protein levels that may be beneficial to improve the understanding of molecular mechanisms, early diagnosis, as well as prospective pharmacologic targets for designing beneficial HD treatment.

Hypertonic Saline Solution Compared to Mannitol for the Management of Elevated Intracranial Pressure in Children: A Systematic Review

Objective: To explore the effectiveness of commonly used dosing for mannitol (MN) compared with hypertonic saline solution (HSS) in children with elevated intracranial pressure (ICP) due to diabetic ketoacidosis (DKA), head trauma, or acute central nervous system (CNS) infections. Methods: We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. A structured literature review was carried out using the component of the PICO framework. The literature search was conducted in Medline, Ovid, Embase, Google Scholar, and PubMed. A combination of relevant search terms was used. Electronic searches were supplemented by manual searches of references of included studies and review articles. The duplicate citations were identified and removed. Results: A total of 169 articles were identified through the searches, while 8 articles met the inclusion criteria. The characteristics and results of included studies were discussed, regarding the study design, sample size, and outcome. Conclusions: Osmotic agents, such as HSS and MN are commonly used in the management of high ICP. HSS (3% or 7.5%) has superior therapeutic effects over MN (20%) in lowering increased ICP in children with cerebral edema. Key Words: Cerebral edema, Increased intracranial pressure, Children, Osmotic agents, Mannitol, hypertonic saline solution, systematic review, PRISMA.

Terminologia especializada de enfermagem para pacientes renais crônicos em hemodiálise

Abstract Objectives to identify the terms that represent the human needs affected in chronic renal failure patients on hemodialysis; and to cross-map these terms with those already existing in the International Classification for Nursing Practice. Method a descriptive study with a quantitative approach, conducted between February and December 2021, a period in which an integrative literature review was prepared to survey the terms that represent the human needs affected in chronic renal failure patients on hemodialysis; then, we proceeded to the cross-mapping of these terms identified with the ICNP® terms 2019/2020 version. Results 1,946 terms were identified extracted from the articles that were part of the integrative review. After the normalization and standardization process, 689 terms were excluded, resulting in the subsequent composition of 1,257 terms, which were mapped with the terms of the International Classification for Nursing Practice 2019/2020 version. In the end, the term bank consisted of 626 constant terms and 631 non-constant terms. Conclusion and implications for practice relevant terms were identified for nursing practice in the care of chronic kidney disease patients on hemodialysis. The terms will help nurses to promote a systematized care, using an evidence-based practice.

Uniqueness and Logical Disagreement (Revisited)

This paper discusses the Uniqueness Thesis, a core thesis in the epistemology of disagreement. After presenting uniqueness and clarifying relevant terms, a novel counterexample to the thesis will be introduced. This counterexample involves logical disagreement. Several objections to the counterexample are then considered, and it is argued that the best responses to the counterexample all undermine the initial motivation for uniqueness.

Прецедентность в парадигматике и синтагматике (на примере сравнений немецкого языка)

The purpose of this article is to reveal the heuristic potential of precedent, cognitive-functional analysis of stable comparisons, paroemias, quotations that form a phraseological cluster of the lexical system of the German language. The significance of the article is determined by the usage of theoretical instruments of studying the cognitive category of precedence - a complicated and multifaceted object of the general theory of knowledge - and further research of secondary semiosis - a relevant problem of modern linguistics. The novelty of the article consists in discovering the dual aspects of objects of the category of precedence and its actual language representatives - similes within two vectors - in paradigmatics and syntagmatics. Similes confirm their status as the marker of precedent thinking, a derivative language sign and dynamic development of the language. They are studied as an independent object of the category of precedent linguistic units and expand the paradigm of precedent occurrences in multi-structural syntactic realisations. The research methodology is based on the provisions of cognitive linguistics, axiology, the theory of linguistic precedent and the theory of interpretation using general scientific and special cognitive methods. A number of methodologically relevant terms for precedent linguistics and precedent thinking are being developed: precedent situation, precedent statement, precedent sentence, precedent object, etc. A number of methodologically relevant terms for precedent linguistics and precedent thinking are being developed: precedent situation, precedent statement, precedent sentence, precedent object, etc. The author shows comparisons as a means of expressing a model of language imagery, which is represented through a set of metacomponents: the level of values, cognitive-thematic area (cogniteme), presupposition, language unit. Eight structural-semantic phraseologized models (with variants) reflecting the paradigmatics of figurative comparisons in syntagmatics, which are of scientific interest for cognitive syntax and axiology, are analyzed.

Dupilumab in the treatment of genodermatosis: A systematic review.

Dupilumab interferes with the signaling pathways of IL-4 and IL-13 and is effective in treating atopic dermatitis. Specific genodermatoses, including Netherton syndrome, epidermolysis bullosa pruriginosa, and hyper-IgE syndrome, are Th2 skewed diseases with activation of type 2 inflammation. We performed this systematic review to investigate the therapeutic role of dupilumab in the treatment of genodermatosis. A systematic search was conducted of the PubMed, Embase, Web of Science, and Cochrane databases from inception to December 13, 2021. The review included studies with relevant terms including "dupilumab," "genodermatosis", "Netherton syndrome", "ichthyosis", "epidermolysis bullosa" and "hyper-IgE syndrome". The initial search yielded 2,888 results, of which 28 studies and 37 patients with genodermatosis were enrolled. The assessed genodermatoses included Netherton syndrome, epidermolysis bullosa pruriginosa, hyper-IgE syndrome, Hailey-Hailey disease, and severe eczema associated with genetic disorders. Most of the reported cases showed significant clinical improvement after the initiation of dupilumab treatment without major adverse events. Decreased immunoglobulinE levels and cytokine normalization have also been documented. In conclusion, Dupilumab may have a potential therapeutic role in certain genodermatoses skewed towards Thelper 2 (Th2) immunity, including Netherton syndrome, epidermolysis bullosa pruriginosa, hyper-IgE syndrome, Hailey-Hailey disease, and severe eczema associated with some genetic disorders.

What Should Companies Do to Improve Brand Awareness Through Instagram? The Lens of Signalling Theory

Manuscript type: Research paper Research aims: This study investigates potential factors of electronic service quality dimensions on the improvement of brand awareness among customers through the social media platform Instagram. Design/Methodology/Approach: The study involves 398 respondents across Java Island, Indonesia, and employed a PLS-SEM approach to analyse the data. Research findings: The findings indicate that the electronic service quality dimensions of Instagram, in terms of content relevance, content quality, information quality and contact availability, significantly improve brand awareness. Theoretical contribution/Originality: This study contributes to the electronic service quality and brand awareness literature by validating four potential service quality dimensions of Instagram that are effective instruments for improving brand awareness. Practitioner/Policy implication: This study offers managerial recommendations for companies that see Instagram as a prospective social media tool for enhancing brand awareness. Companies should focus on managing their Instagram accounts by providing relevant content, qualified content, qualified information, and ensuring the availability of their contact details. Research limitation/Implications: To enhance generalisability, we suggest future studies examine how brand awareness improvement could be made across social media accounts with broader customer segments, either SMEs or big corporations.

AHP 분석에 의한 콘텐츠 스타트업 투자결정요인 연구

It is challenging for content-related startups to thrive over the long term due to the inadequate conditions in a range of aspects, such as capital, commercialization skills, and expertise. In addition, preparations for investment attraction are undertaken in a vague way due to the paucity of knowledge about investment concerns. In this regard, this study examined how investors that specialize in content startups actually evaluate and pursue investment opportunities. To this end, a survey was performed among specialists in the domestic investment sector, and AHP analysis was conducted in order to determine the relative significance of investment determinants. The findings indicated that Investors in content startups regarded 'entrepreneur (team)' as the most significant element in determining investment, and 'expertise in the industry' as the most significant factor in terms of overall relevance and priority for subfactors. Furthermore, the analysis by respondents' affiliations revealed that entrepreneur (team) considered as the most important factor investment decisions by venture capital, followed by accelerators and financial firms. These results suggest that in the case of content startups, the founder and team members' internal human factors must be enhanced in order to entice investment.

연결 RBC제도의 도입과 가용자본의 가치관련성 변화

This study empirically analyzes the value relevance of available capital(hereafter AV) by comparing it with the value relevance of equity book value, and whether the value relevance of AV changed significantly due to the adoption of the consolidated RBC system.
 The analysis results are as follows. First, it was reported that the value relevance of AV was significantly lower than the value relevance of equity book value. This indicates that the low value relevance of the insurer’s net profit is not because the valuation of the insurers is based on the liquidation value, but because the usefulness of the insurer’s net profit itself is low. Second, the value relevance of AV has significantly increased since the adoption of the consolidated RBC system. This is interpreted as a result of indicating that the change of RBC system in a consistent direction in IFRS, Basel Ⅲ and Solvency Ⅱ is a desirable direction in terms of value relevance. This study is significant in that it indirectly confirmed the perspective of valuation in the capital market and reviewed the effect of implementing the new supervisory system from the perspective of valuation in the capital market.

IMPACT OF MYR AGAINST USD EXCHANGE RATE TO ZOOM VIDEO COMMUNICATION STOCK DURING PANDEMIC OF COVID-19

This study is aimed to investigate the impact of MYR against USD exchange rate to Zoom video communication stock after the pandemic of Covid-19 over the period from 27th January 2020 to 6th October 2020. The pandemic of Covid-19 brings a lot of economic issues to a country especially for the exchange rate and more and more people are using the video communication apps for various purpose. The ARDL model would be used to examine the long-run impact and short-run impact of MYR against USD exchange rate to Zoom video communication stock. A long-run impact represent that MYR against USD exchange rate fluctuation are positively influence on the stock price. At the same time, there have no short-run coefficient for the variable for this model where the result shows an insignificance level. Thus, the RM against USD exchange rate is affecting the Zoom video communication stock price in the long-term period. Therefore, in terms of policy relevance, the findings of this article indicate that the governments of these emerging markets should exercise caution when implementing exchange rate policies because they will have an impact on emerging stock markets.

Is there a survival processing effect in metacognition?

Memory systems serve an adaptive function for the fitness of organisms. A good example of this is the Survival Processing Effect (SPE) which points to increased retention of information when it is processed in a survival context compared to other contexts. Survival processing may also affect metacognitive processes, by increasing confidence judgments as well as increasing metacognitive sensitivity. No previous study, however, has directly examined whether processing information for survival also has an effect on metacognitive processes. Here we ask whether SPE extends to the metacognitive system in terms of both metacognitive sensitivity and confidence bias. In Experiment 1 participants were asked to rate a list of words in terms of relevance in a survival scenario or a moving scenario. In a surprise old/new recognition test, they were given one word at a time and asked to indicate if they have rated the presented word before and state how confident they are in that choice. Surprisingly, the results did not reveal a SPE, which may have been due to high overall performance in the recognition task. In Experiment 2 we increased the level of difficulty of the memory task, which resulted in a robust SPE, but could not find this effect in metacognitive monitoring. Together, these results suggest that survival processing may not affect metacognitive processes in a reliable fashion.

Comment-enriched index terms improve the relevance and novelty of the ranking of the commented medical articles retrieved by an NLP system

PurposeThis study aimed to investigate how the enrichment of medical documents' index terms by their comments improves the relevance and novelty of the top-ranked results retrieved by an NLP system.Design/methodology/approachA semi-experimental pre-test and post-test research was designed to compare NLP-based indexes before and after being expanded by the comment terms. The experiments were conducted on a test collection of 13,957 documents commented by F1000-Prime reviewers. They were indexed at title, abstract, body and full-text levels. In total, 100 seed documents were randomly selected and served as queries. The textual similarity of the documents and queries was calculated using Lucene-more-like-this function and evaluated by the semantic similarity of their MeSH. The results novelty was measured using maximal marginal relevance and evaluated by their MeSH novelties. Normalized discounted cumulative gain was used to compare the basic and expanded indexes' precisions at 10, 20 and 50 top ranks.FindingsThe relevance and novelty of the results ranked at the top precision points was improved after expanding the indexes by the comment terms. The finding implies that meta-texts are effective in representing their mother documents, by adding dynamic elements to their rather static contents. It also provides further evidence about the merits of the application of social intelligence and collective wisdom reflected in the actions and reactions of users in tackling the challenges faced by NLP-based systems.Originality/valueThis is the first study to confirm that social comments on scientific papers improve the performance of information systems in terms of relevance and novelty.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-05-2022-0283.

Feature selection based on absolute deviation factor for text classification

In text classification, it is necessary to perform feature selection to alleviate the curse of dimensionality caused by high-dimensional text data. In this paper, we utilize class term frequency (CTF) and class document frequency (CDF) to characterize the relevance between terms and categories in the level of term frequency (TF) and document frequency (DF). On the basis of relevance measurement above, three feature selection methods (ADF based on CTF (ADF-CTF), ADF based on CDF (ADF-CDF), and ADF based on both CTF and CDF (ADF-CTDF)) are proposed to identify relevant and discriminant terms by introducing absolute deviation factors (ADFs). Absolute deviation, a statistic concept, is first adopted to measure the relevance divergence characterized by CTF and CDF. In addition, ADF-CTF and ADF-CDF can be combined with existing DF-based and TF-based methods, respectively, which results in new ADF-based methods. Experimental results on six high-dimensional textual datasets using three classifiers indicate that ADF-based methods outperform original DF-based and TF-based ones in 89% cases in terms of Micro-F1 and Macro-F1, which demonstrates the role of ADF integrated in existing methods to boost the classification performance. In addition, findings also show that ADF-CTDF ranks first averagely among multiple datasets and significantly outperforms other methods in 99% cases.

The Trypillia in the historiosophy of Yury Lypa

The purpose of the article. Elucidation of the views of the Ukrainian publicist, historiographer, geopolitician Yury Lypa (1900–1944) on Trypil archaeological culture, which were formed mainly under the influence of the Ukrainian archaeologist, ethnologist, and art critic Vadym Shcherbakivskyi (1876–1957). The research methodology involves the application of the principles of critical analysis and comparison. Scientific novelty. Borrowings and innovations regarding the interpretation of Tryplian archaeological culture in Lypov historiosophy are taken into account. Yuri Lypaʼs reasoning regarding the significance of the culture of painted ceramics in the ethnogenesis, character, traditions, even in the forms of social organization and political actions of Ukrainians, as well as the social significance of the results of Trypilian researches, is clarified. The Tripoli component of Yuri Lypaʼs concept in his book «The Destiny of Ukraine» (1938) is singled out, the relevant terms and concepts used in the concept are identified and interpreted. The conclusions of modern Tripille studies are given incidentally. Conclusions. The proposed article is one of the attempts to answer the question: Was Yuri Lypa a scientist or a creator of a national myth?

Molecular adsorption on coinage metal subnanoclusters: A DFT+D3 investigation.

Gold and silver subnanoclusters with few atoms are prominent candidates for catalysis-related applications, primarily because of the large fraction of lower-coordinated atoms exposed and ready to interact with external chemical species. However, an in-depth energetic analysis is necessary to characterize the relevant terms within the molecular adsorption process that can frame the interactions within the Sabatier principle. Herein, we investigate the interaction between Agn and Aun subnanoclusters (clu, n=2-7) and N2 , NO, CO, and O2 molecules, using scalar-relativistic density functional theory calculations within van der Waals D3 corrections. The onefold top site is preferred for all chemisorption cases, with a predominance of linear (≈180°) and bent (≈120°) molecular geometries. A larger magnitude of adsorption energy is correlated with smaller distances between molecules and clusters and with the weakening of the adsorbates bond strength represented by the increase of the equilibrium distances and decrease of molecular stretching frequencies. From the energetic decomposition, the interaction energy term was established as an excellent descriptor to classify subnanoclusters in the adsorption/desorption process concomitant with the Sabatier principle. The limiting cases: (i) weak molecular adsorption on the subnanoclusters, which may compromise the reaction activation, where an interaction energy magnitude close to 0eV is observed (e.g., physisorption in N2 /Ag6 ); and (ii) strong molecular interactions with the subnanoclusters, given the interaction energy magnitude is larger than at least one of the individual fragment binding energies (e.g., strong chemisorption in CO/Au4 and NO/Au4 ), conferring a decrease in the desorption rate and an increase in the possible poisoning rate. However, the intermediate cases are promising by involving interaction energy magnitudes between zero and fragment binding energies. Following the molecular closed-shell (open-shell) electronic configuration, we find a predominant electrostatic (covalent) nature of the physical interactions for N2 ⋯clu and CO ⋯clu (O2 ⋯clu and NO⋯clu), except in the physisorption case (N2 /Ag6 ) where dispersive interaction is dominant. Our results clarify questions about the molecular adsorption on subnanoclusters as a relevant mechanistic step present in nanocatalytic reactions.

Cyber Security and Cyber Protection: Topics on the Agenda in Ukrainian Society

The aim of the article is to analyse the concepts of «cyber hygiene», «cyber security», «cyber protection», and clarify the role of those processes which are interpreted by these terms in modern human life; to identify the main achievements in Ukrainian law system regarding the legal cybernetic sphere regulation; to highlight key rules for observing cyber hygiene. The research methodology has been implemented using scientific methods of terminological analysis when comparing the definitions of relevant terms. Statistical method has been used in order to generalise quantitative indicators characterising the increase in the interest of higher education establishments in cyber security specialists training. Comparison and generalisation have made it possible to comprehensively reveal the raised problem in this study. The scientific novelty of this research consists in the following: emphasising the cooperation importance and necessity of Ukrainian organisations with foreign partners in the sphere of information protection contained in cyber space; identifying and tracking tendencies in improving cyber security in the context of science, education and state administration. Conclusions. The issue studying of ensuring information cyber protection, as well as cyber security when using Internet and cyber hygiene in Ukraine, has highlighted the vision that Ukrainian specialists have made a significant step forward in these matters. This is confirmed by international statistical data. The analysis of recently adopted legislative, normative legal acts and regulatory documents at the national level has confirmed the thesis that Ukrainian legislation in cyber security issues is gradually reorienting itself to global tendencies, and borrowing positive foreign experience. However, there still exist urgent unresolved problems, the basis of which is the reduction of the conceptual cyber security apparatus to fixed at the legislative level interpretations. The issues of further international cooperation intensification in matters of cyber protection and cyber security, additionally, creation of common interstate platforms for information exchange, are necessary as well. No less important is the development and expansion of educational programmes in speciality 125 «Cyber Security» in higher education establishments of Ukraine. According to the obtained results of this study, the interest in this profession among youth has been growing recently.

The star target in SLE: IL-17.

The purpose of this review is to discuss the significance of IL-17 in SLE and the potential of IL-17-targeted therapy. Systemic lupus erythematosus (SLE) is an autoimmune disease that can affect many organs and tissues throughout the body. It is characterized by overactive B and T cells and loss of immune tolerance to autoantigens. Interleukin-17 (IL-17) is a cytokine that promotes inflammation and has been implicated in the pathogenesis of several autoimmune diseases as well as inflammatory diseases. In in vitro cellular experiments in lupus susceptible mice or SLE patients, there is substantial evidence that IL-17 is a highly promising therapeutic target. We searched papers from PubMed database using the search terms, such as interleukin-17, systemic lupus erythematosus, treatment targets, T cells, lupus nephritis, and other relevant terms. We discuss in this paper the molecular mechanisms of IL-17 expression, Th17 cell proliferation, and the relationship between IL-17 and Th17. The significance of IL-17 in SLE and the potential of IL-17-targeted therapy are further discussed in detail. IL-17 has a very high potential for the development as a star target in SLE.

An Analysis of Malpractice Litigation of Vascular Surgeons in Cases Involving Aortic Pathologies.

The aim of this study was to analyze malpractice claims for aortic pathologies and to assess if there has been a change in rate of malpractice lawsuits with evolution of endovascular therapy. Malpractice lawsuits were individually screened and compiled from the Westlaw database from 2000 to 2017 through use of relevant search terms. Data were collected of allegations, diagnoses, and outcomes of each case and compared. 268 unique cases were included in this study, with aneurysms (54%, n = 145) and dissection (35%, n = 94) making up the majority. There was a defendant verdict in 53% (n = 141), plaintiff verdict in 24% (n = 65), and settlements in 23% (n = 62) of lawsuits. Litigation was higher in the Midwest and Northeast. There was a gradual decline in litigation overall, however endovascular case numbers remained constant. There was negligible difference in the primary allegation underlying the litigation for various aortic pathologies, time to litigation and award between open and endovascular procedures. The proportion of litigation for clinical negligence in endovascular cases amongst all vascular surgical lawsuits is increasing. As novel methods of endovascular therapy emerge, it is imperative that physicians remain vigilant to legal considerations to minimize malpractice risk.

Data-Driven Discovery of Active Nematic Hydrodynamics

Active nematics can be modeled using phenomenological continuum theories that account for the dynamics of the nematic director and fluid velocity through partial differential equations (PDEs). While these models provide a statistical description of the experiments, the relevant terms in the PDEs and their parameters are usually identified indirectly. We adapt a recently developed method to automatically identify optimal continuum models for active nematics directly from spatiotemporal data, via sparse regression of the coarse-grained fields onto generic low order PDEs. After extensive benchmarking, we apply the method to experiments with microtubule-based active nematics, finding a surprisingly minimal description of the system. Our approach can be generalized to gain insights into active gels, microswimmers, and diverse other experimental active matter systems.