Description Scheme Research Articles

Discurso populista y “nueva derecha”: el Partido Republicano chileno

Objective/context: This study aims to evaluate the relevance of the category of populism when characterizing a party of the “new right,” such as the Republican Party of Chile. Methodology: A discourse analysis of a corpus of texts representative of the ideology of the Republicans was carried out, considering four analytical dimensions: ideological description schemes, collective identification terms, populist statements, and the populist discursive style as embodied in the rhetorical ethos of the enunciator. Conclusions: Even though the Republican Party has been typified as radical, right-wing, and populist, neither the ideological schemes, the vocabulary, the utterances, nor the discursive style evidence a marked populism. In sum, other ideological frameworks better characterize the discourse of this party—in particular, conservative, authoritarian, neo-liberal, and neo-patriotic motives, framed with the signifier of a certain republicanism. Originality: The research allows a divergent interpretation of the parties of the new right, usually characterized as radical populist right.

Describing carbons

Carbon materials are unique materials for their diversity, owing to three possible hybridisation states (sp, sp2, sp3), their ability to switch from one phase to another upon various external stresses (thermal, mechanical, pressure…), and the tolerance of graphene (sp2C) to defects of many kinds. This makes their description difficult, due to the lack of standardised vocabulary and misuses or ignorance of the existing ones. A common language is needed so that every word has the same meaning to everyone and that carbon scientists understand each other as accurately as possible. This paper aims to clarify the basic terminology to be used on this matter, by reminding some important definitions or terms, e.g. allotrope, polymorphism, molecular form, crystallite, graphitic, graphene, graphene layer, graphenic, graphitisation, graphitisation treatment..., based on authoritative publications when available. In addition, as sp2C-based carbon materials exhibit the largest variability, a four-term description scheme (namely: morphology, texture, nanotexture, structure) is proposed and argued, which is believed to be sufficient (and necessary) to describe any kind of carbons, but molecular forms. Applying the recommendations proposed is expected to bring more consistency, clarity, and understandability to the forthcoming literature dealing with carbon materials.

Octagonal lattice-based triangulated shape descriptor engaging second-order derivatives supplementing image retrieval

Erstwhile shape description schemes lack primarily in establishing trade-offs with accuracy and computational load. Accordingly, a lightweight shape descriptor offering precise definition and compaction of high-frequency features is contributed in this paper using a simple geometrical shape for localization and shape characterization. Initially, the input image is octagonally tessellated and triangularly decomposed into sub-regions whose side-wise differences are evaluated and subjected to second-order differentiation to produce three high-frequency values representing triangle corners. The resultant is processed by the law of sines to yield localized shape features exhibiting congruence and is reiterated on the residual regions, followed by a novel octal encoding scheme encompassing maximal variations in the localized regions. The resulting features are globally fabricated into shape histograms in a non-overlapping manner representing the shape vector. This scheme validated on widely popular benchmark shape datasets demonstrates superior retrieval and recognition accuracies greater than 93% which is lacking in its competitors.

Pharmacophore-based ML model to filter candidate E3 ligands and predict E3 Ligase binding probabilities

Among the plethora of E3 Ligases, only a few have been utilized for the novel PROTAC technology. However, extensive knowledge of the preparation of E3 ligands and their utilization for PROTACs is already present in several databases. Here we provide, together with an analysis of functionalized E3 ligands, a comprehensive list of trained ML models to predict the probability to be an E3 ligase binder. We compared the different algorithms based on the different description schemes used and identified that the pharmacophore-based ML approach was the best. Due to the peculiar pharmacophores present in E3 ligase binders and the presence of an explainable model, we were able to show the capability of our ErG model to filter compound libraries for fast virtual screening or focused library design. A particular focus was also given to target E3 ligase prediction and to find a subset of candidate E3 ligase binders within known public and commercial compound collections.

Surgery for Velopharyngeal Insufficiency Following Cleft Palate Repair: An Audit of Contemporary Practice and Proposed Schema of Techniques and Variations.

Surgical treatment of velopharyngeal insufficiency (VPI) includes a wide array of procedures. The purpose of this study was to develop a classification for VPI procedures and to describe variations in how they are performed.Design/participants/setting/outcomes: We completed an in-depth review of the literature to develop a preliminary schema that encompassed existing VPI procedures. Forty-one cleft surgeons from twelve hospitals across the USA and Canada reviewed the schema and either confirmed that it encompassed all VPI procedures they performed or requested additions. Two surgeons then observed the conduct of the procedures by surgeons at each hospital. Standardized reports were completed with each visit to further explore the literature, refine the schema, and delineate the common and unique aspects of each surgeon's technique. Procedures were divided into three groups: palate-based surgery; pharynx-based surgery; and augmentation. Palate-based operations included straight line mucosal incision with intravelar veloplasty, double-opposing Z-plasty, and palate lengthening with buccal myomucosal flaps. Many surgeons blended maneuvers from these three techniques, so a more descriptive schema was developed classifying the maneuvers employed on the oral mucosa, nasal mucosa, and muscle. Pharynx-based surgery included pharyngeal flap and sphincter pharyngoplasty, with variations in design for each. Augmentation procedures included palate and posterior wall augmentation. A comprehensive schema for VPI procedures was developed incorporating intentional adaptations in technique. There was substantial variation amongst surgeons in how each procedure was performed. The schema may enable more specific evaluations of surgical outcomes and exploration of the mechanisms through which these procedures improve speech.

Dynamics modelling and influencing factor analysis of a rocket-launcher coupling system considering uncertain parameters

Vibration characteristic is an important factor affecting the motion of rocket in the launcher and its firing performance. In this paper, a rocket-launcher coupling dynamics model is proposed by applying the transfer matrix method for multibody systems. Considering manufacturing error and nonlinear contact force, the dynamics equations of the rocket-launcher coupling system during the whole process of firing are deduced. Combined with the dynamics model and equations, a dynamics simulation system is developed with uncertain parameters. The uncertain parameter description scheme and probability sampling scheme are proposed to obtain dynamics characteristic and firing performance of the system. The relevant tests are carried out to verify simulation results. Then, the factors affecting the firing performance are discussed. In view of the analysis results, the influence weight of initial disturbance on firing precision is 85% under the condition of full-loading continuous firing, and the swing angular velocity of rocket at muzzle is the main influence factor.

Implementation of active learning methods on the example of teaching the educational discipline “military bridges and roads”

The modern educational process is based on the paradigm of personal-oriented learning and involves purposeful and meaningful interaction between those who teach and those who learn. The methodology of teaching the disciplines of the military special training unit requires a significant arsenal of generally accepted and specific methods, techniques and means of learning, in particular active and interactive methods that encourage the cadet to direct and conscious self-development, the acquisition of quality knowledge, professional skills, and the creative solution of identified problems. The issue of finding new and adapting known forms and methods of conducting classes, choosing the most effective among them to increase the level of training of military specialists is urgent and requires detailed research. The purpose of the study is to reveal the role, advantages and disadvantages of active learning and to analyze the possibility of its integration into the educational process of cadets in higher military educational institutions. The main task was to determine potential risks during the use of active learning methods with cadets and to conduct a comparative analysis of the results of the control and experimental groups. The main concerns of teachers and cadets that arise during the implementation of new educational methods are analyzed. It was established that the academic achievements of cadets thanks to active learning are statistically significant and the overall productivity of cadets studying with the help of active learning methods is higher, which is confirmed by the actual level of knowledge and the total effect of active learning methods. The influence of different types and forms of tasks practiced in group classes on the discipline “Military Bridges and Roads” was studied and it was found that the most productive types of tasks that contribute to the assimilation of knowledge are situational tasks, task schemes and description schemes. Implementation of the proposed innovative forms and methods of conducting group classes will help to increase the rate of assimilation of educational material compared to traditional approaches. The main direction of further research should be directed to the development of various types of tasks and forms of their implementation, which will contribute to the formation of the cognitive activity of cadets both under the guidance of a teacher and during independent training, as well as to the creation of an informational and educational “e-environment” taking into account the rapidity of development information and communication technologies.

FAST Headings in MODS: Michigan State University Libraries Digital Repository Case Study

The Michigan State University Libraries (MSUL) digital repository contains numerous collections of openly available material. Since 2016, the digital repository has been using Faceted Application of Subject Terminology (FAST) subject headings as its primary subject vocabulary in order to streamline faceting, display, and search. The MSUL FAST use case presents some challenges that are not addressed by existing MARC-focused FAST tools. This paper will outline the MSUL digital repository team’s justification for including FAST headings in the digital repository as well as workflows for adding FAST headings to Metadata Object Description Schema (MODS) metadata, their maintenance, and utilization for discovery.

Improving Visual Style Classification in Digital Games Using Intercoder Reliability Assessment

The digital gaming community appreciates visual style information in digital games as it facilitates information seeking. Nevertheless, learned scholars have discovered that the digital game visual style classification is inconsistent and easily modified, potentially limiting the information and leading to inaccurate visual terminologies during information discovery. Therefore, this cross-sectional study was performed to assess multiple visual style classification terms and their definitions among Malaysian game developers using the closed card sorting exercise. A total of seven professional game developers participated in an online survey that comprised thirty-five digital game case studies using a card sorting technique. They were asked to classify nineteen visual style classification terms, including psychedelic, text, illusionism, photorealism, televisualism, handicraft, caricature, celshaded, comic book (anime), watercolour, Lego, minimalism, pixel art, silhouette, bright, dark, maplike, colourful, and black and white. The Fleiss’ kappa intercoder reliability assessment was performed to measure the coders’ agreement on visual style classification, followed by the think-aloud protocol descriptive analysis to gather assessment insights into the visual style descriptions. The intercoder reliability test achieved a significantly moderate agreement based on the results. The professional game developers agreed on eighteen visual styles and rejected the bright visual style classification due to its overlapping description with the colourful visual style. The definition of ten visual style classifications was improved from the existing Video Game Metadata Schema (VGMS) description, contributing to the digital game’s coherence and consistency. This improvement will enhance visual style classification information for machine-learning-based recommendation systems for digital game distribution platforms and digital archiving.

Robust AUV Visual Loop-Closure Detection Based on Variational Autoencoder Network

The visual loop-closure detection for autonomous underwater vehicles (AUVs) is a key component to reduce the drift error accumulated in simultaneous localization and mapping tasks. However, due to viewpoint changes, textureless images, and fast-moving objects, the loop closure detection in dramatically changing underwater environments remains a challenging problem to traditional geometric methods. Inspired by strong feature learning ability of deep neural networks, we propose an underwater loop-closure detection method based on a variational autoencoder network in this article. Our proposed method can learn effective image representations to deal with the challenges caused by dynamic underwater environments. Specifically, the proposed network is an unsupervised method, which avoids the difficulty and cost of labeling a great quantity of underwater data. Also included is a semantic object segmentation module, which is utilized to segment the underwater environments and assign weights to objects in order to alleviate the impact of fast-moving objects. Furthermore, an underwater image description scheme is used to enable efficient access to geometric and object-level semantic information, which helps to build a robust and real-time system in dramatically changing underwater scenarios. Finally, we test the proposed system under complex underwater environments and get a recall rate of 92.31% in the tested environments.

Image compression and denoising using multiresolution region-based image description scheme

Image compression and denoising using multiresolution region-based image description scheme

Latimer Core: A new data standard for collection descriptions

The Latimer Core (LtC) schema, named after Marjorie Courtenay-Latimer, is a standard designed to support the representation and discovery of natural science collections by structuring data about the groups of objects that those collections and their subcomponents encompass. Individual items within those groups are represented through other emerging or current standards (e.g., Darwin Core, ABCD). The LtC classes and properties aim to represent information that describes these groupings in enough detail to inform deeper discovery of the resources contained within them. The standard has been developed under the Biodiversity Information Standards (TDWG) Collection Descriptions (CD) Interest Group, and evolved from the earlier work of the Natural Collection Descriptions (NCD) group. Version 1 of the standard includes 23 classes, each with two or more properties (Fig. 1 and Suppl. material 1). The central concept of the standard is the ObjectGroup class, which represents 'an intentionally grouped set of objects with one or more common characteristics'. Arranged around the ObjectGroup are a set of classes that are commonly used to describe and classify the objects within the ObjectGroup, classes covering aspects of the custodianship, management and tracking of the collections, a generic class (MeasurementOrFact) for storing qualitative or quantitative measures within the standard, and a set of classes that are used to describe the structure and description of the dataset. Latimer Core is intended to be sufficiently flexible and scalable to apply to a wide range of collection description use cases, from describing the overall collections holdings of an institution to the contents of a single drawer of material. Various approaches are used to support this flexibility, including the use of generic classes to represent organisations, people, roles and identifiers, and enabling flexible relationships for constructing data models that meet different use cases. The collection description scheme concept is introduced to enable adopters to specify rules in the use of LtC within each specific implementation, demonstrated in Fig. 2. Guidance and reference examples for different modelling approaches to suit different use cases are provided in the LtC guidance documentation. The LtC standard has significant overlap with existing data standards (Suppl. material 2) that represent, for example, individual objects and occurrences, organisations, people and activities. Where possible, LtC has either borrowed terms directly from these standards or less formally aligned with them. Achieving a balance between offering a standard that is sufficiently comprehensive to stand alone and maintains a low technical barrier to adoption whilst minimalising duplication of effort in the context of the wider standards landscape is a notable challenge in the standard development process. The draft standard was submitted to the TDWG Executive in June 2022 to begin the process of formal review and ratification. This includes a list of standard terms and a GitHub wiki of guidance on the concepts behind and use of the standard. In the meantime, the Task Group will continue working on reference examples and serialisations, and working with infrastructures such as the Distributed System of Scientific Collections (DiSSCo) consortium, the GBIF (Global Biodiversity Information Facility) Registry of Scientific Collections, the CETAF (Consortium of European Taxonomic Facilities) Registry of Collections and the Global Genome Biodiversity Network (GGBN) on potential roadmaps towards adoption. In this presentation, we will introduce the key Latimer Core deliverables, highlight some of the challenges faced in the development process, and discuss the potential for community adoption.

Intelligent wearable allows out-of-the-lab tracking of developing motor abilities in infants

BackgroundEarly neurodevelopmental care needs better, effective and objective solutions for assessing infants’ motor abilities. Novel wearable technology opens possibilities for characterizing spontaneous movement behavior. This work seeks to construct and validate a generalizable, scalable, and effective method to measure infants’ spontaneous motor abilities across all motor milestones from lying supine to fluent walking.MethodsA multi-sensor infant wearable was constructed, and 59 infants (age 5–19 months) were recorded during their spontaneous play. A novel gross motor description scheme was used for human visual classification of postures and movements at a second-level time resolution. A deep learning -based classifier was then trained to mimic human annotations, and aggregated recording-level outputs were used to provide posture- and movement-specific developmental trajectories, which enabled more holistic assessments of motor maturity.ResultsRecordings were technically successful in all infants, and the algorithmic analysis showed human-equivalent-level accuracy in quantifying the observed postures and movements. The aggregated recordings were used to train an algorithm for predicting a novel neurodevelopmental measure, Baba Infant Motor Score (BIMS). This index estimates maturity of infants’ motor abilities, and it correlates very strongly (Pearson’s r = 0.89, p < 1e-20) to the chronological age of the infant.ConclusionsThe results show that out-of-hospital assessment of infants’ motor ability is possible using a multi-sensor wearable. The algorithmic analysis provides metrics of motility that are transparent, objective, intuitively interpretable, and they link strongly to infants’ age. Such a solution could be automated and scaled to a global extent, holding promise for functional benchmarking in individualized patient care or early intervention trials.

Towards a Generic Description Schema for Clinical Decision Support Systems.

Many clinical decision support systems (CDSS) have shown good performance in the research context, but only a few have been brought into routine care. Analysis of success or failure factors in the design of CDSS may support translation from development to routine care by guiding CDSS design and development along these factors. In this work, we propose a schema to describe CDSS designs in a consistent way. We focus on design criteria with the aim to investigate the observed translation gap in CDSS. Existing description models on different aspects relevant for CDSS are combined to a comprehensive schema that allows description and comparison of CDSS without limitation to the domain or architecture.

Thematic Roles in Image Schemas: A Missing Link Between Mind and Language

Abstract As early as 1968, Fillmore suggested that deep cases could be sets “of universal, presumably innate, concepts” human beings form to describe reality. Langacker’s (1991) role archetypes highlight the “primal status and nonlinguistic origin” of Thematic roles. I argue that Thematic roles have their “nonlinguistic” origin in image schemas and link the image schemas with language structures. The thesis is based on my description of the object schema (Szwedek, 2018), the definition of the image schema (Szwedek, 2019), and major works on Thematic roles. The object schema is fundamental in that all physical objects are experienceable by the senses (Szwedek, 2011, 2018). In contrast to relational schemas, it is also conceptually independent, while “[r]elations are conceptually dependent, i.e. one cannot conceptualize interconnections without conceptualizing the entities they interconnect” (Langacker, 1987). I posit that Thematic roles are a link between image schemas (mind) and language, constituting a stable scaffolding for various syntactic structures.

Design of Planar Directional Coupler using 2-Bit Fragment Structures

Automatic design of planar directional coupler can be implemented by multi-objective optimization searching for the optimal planar fragment-type structure (FTS). The 2-bit FTS description scheme may include necessary fine structures in fragments to enhance the FTS design. By coding the coupler design space on PCB in 2-bit FTS, defining the FTS design matrix, and searching for the optimal structure, directional coupler can be designed without any structure presetting or artificial intervention. The scheme is demonstrated by designing 10-dB wideband directional coupler with 2-bit FTS scheme. The designed directional couplers are fabricated and tested to show maximum directivity of 58 dB with 36% operation bandwidth.

A Dynamic and Scalable User-Centric Route Planning Algorithm Based on Polychromatic Sets Theory

Existing navigation services provide route options based on a single metric without considering user&#x2019;s preference. This results in the planned route not meeting the actual needs of users. In this paper, a personalized route planning algorithm is proposed, which can provide users with a route that meets their requirements. Based on the multiple properties of the road, the Polychromatic Sets (PS) theory is introduced into route planning. Firstly, a road properties description scheme based on the PS theory was proposed. By using this scheme, users&#x2019; travel preferences can be quantified, and then personalized property combination schemes can be constructed according to these properties. Secondly, the idea of setting priority for road segments was utilized. Based on a user&#x2019;s travel preference, all the property combination schemes can be prioritized at relevant levels. Finally, based on the priority level, an efficient path planning scheme was proposed, in which priority is given to the highest road segments in the target direction. In addition, the system can constantly obtain real-time road information through mobile terminals, update road properties, and provide other users with more accurate road information and navigation services, so as to avoid crowded road segments without excessively increasing time consumption. Experiment results show that our algorithm can realize personalized route planning services without significantly increasing the travel time and distance. In addition, source code of the algorithm has been uploaded on GitHub for this algorithm to be used by other researchers.

The Gluon Exchange Model in Proton–Nucleus Collisions

We apply our recently formulated Gluon Exchange Model (GEM) to baryon production in proton-nucleus reactions involving N>1 proton-nucleon collisions. We propose a description scheme for the process of soft color octet (gluon) exchange, based on the assumption that probabilities to form an effective diquark are equal for all allowed pairs of quarks. The latter effective diquark can form either from two valence, one valence and one sea, or from two sea quarks. Consequently we calculate the probabilities for different color configurations involving diquarks of valence-valence, valence-sea and sea-sea type. These probabilities appear to depend on the number of exchanged gluons, which results in increasing baryon stopping as a function of the number of proton-nucleon collisions in the nucleus. As such, the nuclear stopping power appears to be governed by the emergence of new color configurations as a function of N rather than by the energy loss of the original valence diquark. The advantage of our approach lies in its high predictive power which makes it verifiable by the new, precise data on proton and neutron production from the CERN SPS. The latter verification, and a set of predictions for the N-dependence of the baryon stopping process, are included in the letter.

The first German grammar, intended for Russian students (1713): Language material peculiarities

The article explores the first grammar of the German language, intended for use of Russian students: “Die Deutsche Grammatica, Aus Unterschiedenen Autoribus zusammen gebracht Und Der in Deutschland Studierenden Rußischen Nation zum besten In einem Compendio herausgegeben von Charmyntes”. Peculiarities of the language material presented in the man ual are investigated. Deviations from the traditional German language description scheme are fixed: assignment of three article types; viewing a person as a nominal category, complicat ing system of verb tenses etc. We append the results of the research conducted by K.Koch (2002) and. conclude, that in addition to J.Bödiker’s work directly referred to in the manual, its author was influenced by the works of linguists from “Fruitbearing Society”: K. von Stieler, J.Clajus, and Ch. Gueintz. The author also relied on French grammar by J.R.Pepliers. The article analyzes the textbook illustrative material. Quotations from the Gospel, Psalms, evan gelic hymns, and catechistic literature were often used as examples. However, it also contained a heretical example — mentioning of Lucifer among angels. The latter, possibly, explains the mysterious circumstances of the manual publication. It was issued in Berlin in 1713 without indicating its printing house. The author also hid his real name. We describe its surviving copies in Saint Petersburg and Rostock libraries and conclude, that the work, brought to Rus sia in the first third of the 18th century, was significant for the national tradition of language description.

Customer-Oriented Aggregators of Massive Open Online Courses: Opportunities and Prospects

In recent years, the number of online courses known as massive open online courses (MOOC) has increased significantly. Such courses are available on online providers’ sites, such as edX and Coursera. As a result, there is a notable reduction of clarity in terms of various course offerings, and this causes a need to change the MOOC description schemes to help inform potential applicants. The article is aimed at identifying the capabilities of customer-oriented MOOC aggregators and the prospects for their further improvement. The article presents approaches to the concept of customer focus, based on which the definition of a customer-oriented aggregator is formulated. The article analyses course descriptions used by MOOC providers and aggregators for their potential students. Based on this analysis, the authors develop a set of categories describing MOOC, used for the creation of a new MOOC description according to the customer-oriented criteria. The authors conclude that the optimal descriptive MOOC scheme on the MOOC aggregator should satisfy both the academic environment and the customer-oriented criteria that correspond to students’ interests when choosing a MOOC.