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Journal articles on the topic 'Subject domains'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Xu, Yilu, Hua Yin, Wenlong Yi, et al. "Supervised and Semisupervised Manifold Embedded Knowledge Transfer in Motor Imagery-Based BCI." Computational Intelligence and Neuroscience 2022 (October 17, 2022): 1–19. http://dx.doi.org/10.1155/2022/1603104.

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A long calibration procedure limits the use in practice for a motor imagery (MI)-based brain-computer interface (BCI) system. To tackle this problem, we consider supervised and semisupervised transfer learning. However, it is a challenge for them to cope with high intersession/subject variability in the MI electroencephalographic (EEG) signals. Based on the framework of unsupervised manifold embedded knowledge transfer (MEKT), we propose a supervised MEKT algorithm (sMEKT) and a semisupervised MEKT algorithm (ssMEKT), respectively. sMEKT only has limited labelled samples from a target subject

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van Deventer, Vasi. "On the Limits (of the Subject) of Psychology." South African Journal of Psychology 27, no. 2 (1997): 75–82. http://dx.doi.org/10.1177/008124639702700203.

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The subject of psychology broaches two domains of discourse, one in which the subject belongs to psychology as its object of study and another where the discipline of psychology belongs to the subject as a topic of discussion. Actually, these are not two domains of discourse but rather two domains concerning discourse: a domain where the subject belongs to discourse and a domain where discourse belongs to the subject; more precisely: a domain of being known and a domain of the knowing being. This article is about the delimitation of these two domains. Bringing them into existence requires comp

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Kapitonova, Yu V., and A. A. Letichevskii. "Constructive mathematical descriptions of subject domains." Cybernetics 24, no. 4 (1989): 408–18. http://dx.doi.org/10.1007/bf01070580.

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Maswanganyi, Rito Clifford, Chungling Tu, Pius Adewale Owolawi, and Shengzhi Du. "Multi-Class Transfer Learning and Domain Selection for Cross-Subject EEG Classification." Applied Sciences 13, no. 8 (2023): 5205. http://dx.doi.org/10.3390/app13085205.

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Transfer learning (TL) has been proven to be one of the most significant techniques for cross-subject classification in electroencephalogram (EEG)-based brain-computer interfaces (BCI). Hence, it is widely used to address the challenges of cross-session and cross-subject variability with more accurate intention prediction. In this case, TL utilizes knowledge (signal features) in the source domain(s) to improve the classification in the target domain. However, current existing transfer learning approaches on EEG-based BCI are mostly limited to two-class cross-subject classification problems, wh

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Baudson, Tanja Gabriele, Nora Jung, and Philipp Alexander Freund. "Measurement Invariance in a Grid-Based Measure of Academic Self-Concept." European Journal of Psychological Assessment 33, no. 6 (2017): 467–70. http://dx.doi.org/10.1027/1015-5759/a000298.

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Abstract. Grid-based measures, where item stems are rated across diverse domains or subjects, represent an economic measure to assess multifaceted constructs such as academic self-concept. Although testing for measurement invariance between groups (e.g., based on gender or age) and within subjects over time (e.g., in longitudinal research) is common practice, research on invariance across domains is still lacking. We examine measurement invariance across selected self-concept domains in the Differentiated School Self-Concept (DISC) Grid as an example of grid-based self-concept measures. Using

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Herbeck, Peter. "Dative experiencers and (null) subjects in Peninsular Spanish infinitives." Isogloss. Open Journal of Romance Linguistics 8, no. 5 (2022): 1–28. http://dx.doi.org/10.5565/rev/isogloss.221.

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Dative experiencers have been argued to have certain subject properties in finite domains. The question thus arises whether they can ever be controlled like structural (null) subjects. In the literature, it has been argued that one feature distinguishing dative experiencers from (nominative) subjects in Spanish is that the former cannot be controlled, differently from true quirky subjects. By examining corpus data, I argue that Dative experiencers have been argued to have certain subject properties in finite domains. The question thus arises whether they can ever be controlled like structural

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Schipper, Marc, and Franz Petermann. "Trust – a Subject for Social Neuroscience?" Zeitschrift für Neuropsychologie 22, no. 4 (2011): 245–55. http://dx.doi.org/10.1024/1016-264x/a000053.

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The term trust has its roots in psychology and the social sciences, it stands for a complex construct having a high relevance in certain domains, ranging from everyday-live issues over sociology and medicine to economics, law and politics. To a certain extend it plays a crucial role in all social interactions, displaying its enormous societal relevance. In the last years a new research domain emerged, referred to as ‘Social Neuroscience’. Within this domain many intriguing findings have been made regarding the neural basis of social behavior. In this review we want to present what is known abo

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Kulikov, V. V., and S. V. Yelkin. "Possibility of knowledge translation between various subject domains." Scientific and Technical Information Processing 34, no. 1 (2007): 56–62. http://dx.doi.org/10.3103/s014768820701008x.

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9

Malakhov, Eugene V., and Denys O. Shchelkonogov. "STABILITY AND INEVITABILITY OF CONNECTIONS OF SUBJECT DOMAINS." ELECTRICAL AND COMPUTER SYSTEMS 19, no. 95 (2015): 174–77. http://dx.doi.org/10.15276/eltecs.19.95.2015.40.

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Jin, Jian, Qian Geng, Haikun Mou, and Chong Chen. "Author–Subject–Topic model for reviewer recommendation." Journal of Information Science 45, no. 4 (2018): 554–70. http://dx.doi.org/10.1177/0165551518806116.

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Interdisciplinary studies are becoming increasingly popular, and research domains of many experts are becoming diverse. This phenomenon brings difficulty in recommending experts to review interdisciplinary submissions. In this study, an Author–Subject–Topic (AST) model is proposed with two versions. In the model, reviewers’ subject information is embedded to analyse topic distributions of submissions and reviewers’ publications. The major difference between the AST and Author–Topic models lies in the introduction of a ‘Subject’ layer, which supervises the generation of hierarchical topics and

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Fernanda, Emilia. "Meningkatkan Hasil Belajar Siswa pada Pembelajaran IPS dengan Metode Problem Solving." JPPI (Jurnal Penelitian Pendidikan Indonesia) 3, no. 1 (2017): 77. http://dx.doi.org/10.29210/02017112.

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<p>Students of grade 4 SDN 21 Batang Anai Kabupaten Padang Pariaman in learning process used to be passive. Teacher also often used the expository method. This is a classroom action research with two cycles that aimed to improve students’ learning achievement (cognitive, affective, and psychomotor domains) through implementation of problem solving method in social subject learning. In cycle I, students’ score of cognitive domains is 6.46, students’ score of affective domain is 6.49, and students’ score of psychomotor domain is 6.49. In cycle II, students’ score of cognitive domains is 8.

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Yesin, V. I. "Expressive means of the «object-event» data model." Radiotekhnika, no. 191 (December 22, 2017): 99–112. http://dx.doi.org/10.30837/rt.2017.4.191.09.

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The relevance and importance of the problem of data representation in the subject domain modeling are shown. Expressive means (languages of conceptual modeling) are developed to represent conceptual models of subject domains in a graphic form, based on the "object-event" data model and being its constituent elements. Recommendations on their use are given.

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Liu, Jianjin. "Chinese Adolescents’ Conceptions of Teacher’s Authority and Their Relations to Rule Violations in School." ETHICS IN PROGRESS 9, no. 1 (2018): 99–117. http://dx.doi.org/10.14746/eip.2018.1.5.

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Based on the Social Cognitive Domain Theory, the paper explored the adolescents’ conceptions of teacher authority in different domains and their relations to rule violations in school. The main results are: 1) Adolescents viewed moral, conventional, and prudential issues as legitimately subject to teachers’ authority and personal issues as under personal jurisdiction, but they were equivocal about contextually conventional issues. 2) Seventh graders judged all acts as more legitimately subject to teachers’ authority, all rule violations as more negative than did older students. 3) Compared wit

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Rudikova, L. V., and E. V. Zhavnerko. "ABOUT DATA MODELING SUBJECT DOMAINS PRACTICE-ORIENTED DIRECTION FOR UNIVERSAL SYSTEM OF STORAGE AND PROCESSING DATA." «System analysis and applied information science», no. 3 (November 2, 2017): 4–12. http://dx.doi.org/10.21122/2309-4923-2017-3-4-12.

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This article describes data modeling for practice-oriented subject domains they are basis of general data model for data warehouse creation. Describes short subject domains characteristic relationship to different types of any human activities at the current time. Offered appropriate data models, considered relationship between them as data processing and data warehouse creation, which can be built on information data storage technology and which has some characteristics as extensible complex subject domain, data integration, which get from any data sources, data time invariance with required

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Jingsong, Zhao, Wu Zhaolin, and Wang Fengchen. "Comments on Ship Domains." Journal of Navigation 46, no. 3 (1993): 422–36. http://dx.doi.org/10.1017/s0373463300011875.

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The ship domain is a very important and useful concept in marine traffic engineering. It has been widely used in traffic simulation models, for encounter criteria, traffic lane design criteria, VTS planning, risk assessment, collision avoidance, and for other applications.Dr Y. Fujii, Dr E. M. Goodwin and Dr T. G. Coldwell have done a lot of work on this subject. The differences between their ship domain concepts are described in the second part of this paper. In the third part, the authors have used a new branch of social psychology – the theory of Proxemics – to analyse the factors which aff

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Alves Silva Portella, Tauany Lorena, and Gercina Ângela De Lima. "Subject Analysis, Content Analysis and Domain Analysis." Canadian Journal of Information and Library Science 47, no. 2 (2024): 158–65. http://dx.doi.org/10.5206/cjils-rcsib.v47i2.17633.

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From the perspective of the constant increase in data and information, consider in Library and Information Science that the correct analysis and representation of the contents of documents analyzed in specific domains is essential for the retrieval, organization, and dissemination of information. Subject Analysis categorizes topics and details, making it easier to retrieve relevant information. Domain Analysis studies specific characteristics of a field of knowledge, comprising terminologies and concepts. Content Analysis identifies and analyzes textual elements, deepening the understanding of

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Hu, Haochen, Kang Yue, Mei Guo, Kai Lu, and Yue Liu. "Subject Separation Network for Reducing Calibration Time of MI-Based BCI." Brain Sciences 13, no. 2 (2023): 221. http://dx.doi.org/10.3390/brainsci13020221.

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Motor imagery brain–computer interface (MI-based BCIs) have demonstrated great potential in various applications. However, to well generalize classifiers to new subjects, a time-consuming calibration process is necessary due to high inter-subject variabilities of EEG signals. This process is costly and tedious, hindering the further expansion of MI-based BCIs outside of the laboratory. To reduce the calibration time of MI-based BCIs, we propose a novel domain adaptation framework that adapts multiple source subjects’ labeled data to the unseen trials of target subjects. Firstly, we train one S

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18

Ye, Nong, and Donald J. Brinkman. "Test and Evaluation of Knowledge Transfer between Task Domains." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 38, no. 17 (1994): 1123–27. http://dx.doi.org/10.1177/154193129403801711.

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To examine the transfer of knowledge representation between task domains, working engineers and pharmacists were asked to provide pairwise dissimilarity ratings of concepts in a test domain. The test domain was independent of engineering and pharmacy and was relatively new to both subject groups. A quantitative technique based on the multidimensional scaling and directional statistics was used to test and evaluate group differences in knowledge representation. The results indicated that there was no statistically significant difference between two groups in knowledge representation of the test

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Sadouk, Lamyaa, Taoufiq Gadi, and El Hassan Essoufi. "A Novel Deep Learning Approach for Recognizing Stereotypical Motor Movements within and across Subjects on the Autism Spectrum Disorder." Computational Intelligence and Neuroscience 2018 (July 10, 2018): 1–16. http://dx.doi.org/10.1155/2018/7186762.

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Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterized by persistent difficulties including repetitive patterns of behavior known as stereotypical motor movements (SMM). So far, several techniques have been implemented to track and identify SMMs. In this context, we propose a deep learning approach for SMM recognition, namely, convolutional neural networks (CNN) in time and frequency-domains. To solve the intrasubject SMM variability, we propose a robust CNN model for SMM detection within subjects, whose parameters are set according to a proper analysis of SMM signals, t

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Koch, Daniel, Ay Lin Kho, Atsushi Fukuzawa, et al. "Obscurin Rho GEF domains are phosphorylated by MST-family kinases but do not exhibit nucleotide exchange factor activity towards Rho GTPases in vitro." PLOS ONE 18, no. 4 (2023): e0284453. http://dx.doi.org/10.1371/journal.pone.0284453.

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Obscurin is a giant muscle protein (>800 kDa) featuring multiple signalling domains, including an SH3-DH-PH domain triplet from the Trio-subfamily of guanosine nucleotide exchange factors (GEFs). While previous research suggests that these domains can activate the small GTPases RhoA and RhoQ in cells, in vitro characterization of these interactions using biophysical techniques has been hampered by the intrinsic instability of obscurin GEF domains. To study substrate specificity, mechanism and regulation of obscurin GEF function by individual domains, we successfully optimized recombinant pr

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21

Sychev, Oleg, Nikita Penskoy, Anton Anikin, Mikhail Denisov, and Artem Prokudin. "Improving Comprehension: Intelligent Tutoring System Explaining the Domain Rules When Students Break Them." Education Sciences 11, no. 11 (2021): 719. http://dx.doi.org/10.3390/educsci11110719.

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Intelligent tutoring systems have become increasingly common in assisting students but are often aimed at isolated subject-domain tasks without creating a scaffolding system from lower- to higher-level cognitive skills, with low-level skills often neglected. We designed and developed an intelligent tutoring system, CompPrehension, which aims to improve the comprehension level of Bloom’s taxonomy. The system features plug-in-based architecture, easily adding new subject domains and learning strategies. It uses formal models and software reasoners to solve the problems and judge the answers, and

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22

Anderman, Lynley H. "Contemporary Issues onMotivationIntroduction: Student Motivation Across Subject-Area Domains." Journal of Educational Research 97, no. 6 (2004): 283–86. http://dx.doi.org/10.3200/joer.97.6.283-286.

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23

Sirotyuk, Vladimir O., and Stanislav A. Kosyachenko. "MODELING OF SUBJECT DOMAINS AT USERS OF CLOUD TECHNOLOGIES." RSUH/RGGU Bulletin. Series Economics. Management. Law, no. 4 (2017): 74–87. http://dx.doi.org/10.28995/2073-6304-2017-4-74-87.

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Jho, Mi Young. "A Systematic Literature Review and Meta-Analysis of the Effects of Simulation Practice for Nursing Students: Comparison of High Fidelity Simulator and Standardized Patient Utilization." Korean Data Analysis Society 25, no. 5 (2023): 1941–60. http://dx.doi.org/10.37727/jkdas.2023.25.5.1941.

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The purpose of this study is to systematically analyze the effect of simulation practice education by dividing it into HFS(high-fidelity simulator) use and SP(standardized patient) use. A total of 20 studies were selected from domestic and foreign studies published from January 2000 to January 2023 and analyzed using the RevMan 5.4 program and the R program. The effect size was analyzed by dividing the effect of simulation practice into cognitive, affective, and psychomotor domains. In the case of using a HFS, it was effective in the cognitive and affective domains. The effect size showed a st

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Rekveldt, M. Th. "Neutron Depolarization in Submicron Ferromagnetic Materials." Textures and Microstructures 11, no. 2-4 (1989): 127–42. http://dx.doi.org/10.1155/tsm.11.127.

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The neutron depolarization technique is based on the loss of polarization of a polarized neutron beam after transmission through ferromagnetic substances. This loss, caused by Larmor precession in individual domains, determines the mean domain size, the mean square direction cosines of the domains and the mean magnetization. The method is complementary to the neutron scattering technique with respect to the size of the inhomogeneities to be determined and the dynamic range accessible. Only the static applications of the method in studying domain structures are considered. As examples will be t

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Veselovská, Ludmila. "Czech analytic agreement and the characteristics of little pro." Zeitschrift für Slawistik 65, no. 2 (2020): 194–221. http://dx.doi.org/10.1515/slaw-2020-0011.

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AbstractThis study deals with subject predicate agreement in Czech and the structure of a null subject. First, it introduces the concept of Null Subject Languages as it has been used in a generative framework. Then it shows the complex feature content of the Czech subject-predicate agreement morphology, arguing that the data repeatedly signal a division of the agreement features into two clear cut feature sets and two distinct agreement domains: (a) the lower, lexical domain inside vP containing the nominal n[±φ] feature set (Gender and N-Number), and (b) the higher, functional domain on the T

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Anikin, Anton, Dmitry Litovkin, and Marina Kultsova. "An Ontology-based Approach to Collaborative Development of Domain Information Space." PROOF 1 (January 1, 2021): 1–7. http://dx.doi.org/10.37394/232020.2021.1.1.

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This paper is devoted to a problem of creating the domain information space for the purpose of further information retrieval and reuse in different subject domains. We propose an ontology-based approach to collaborative development of the domain information space using the personal human cognitive spaces. In framework of the proposed approach the information space ontology is constructed and the algorithm for generation of domain information space is developed on the base of personal cognitive spaces using reasoning on ontology. The application of the proposed approach is illustrated by the ex

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Sreeramana, Aithal, P.K. Paul, and Bhuimali A. "Food Informatics and its Challenges and Opportunities- A Review." International Journal on Recent Researches in Science, Engineering & Technology 5, no. 9 (2017): 46–53. https://doi.org/10.5281/zenodo.996933.

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Informatics is an important domain that deals with several kinds of information activities by the manual knowledge organization tools as well as computational tools. Informatics deals with many foci and it also has many domain dependencies. Informatics may also concentrate on other domains and in this way new domains may be created. The integration of Food Science with Informatics provides Food and Nutritional Information solution. Food Informatics may be treated as a practicing field for Organization of Information, Infrastructure building which includes designing and development of Informati

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Zheng, Yanyan, Senxiang Wu, Jie Chen, Qiong Yao, and Siyu Zheng. "Cross-Subject Motor Imagery Electroencephalogram Decoding with Domain Generalization." Bioengineering 12, no. 5 (2025): 495. https://doi.org/10.3390/bioengineering12050495.

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Decoding motor imagery (MI) electroencephalogram (EEG) signals in the brain–computer interface (BCI) can assist patients in accelerating motor function recovery. To realize the implementation of plug-and-play functionality for MI-BCI applications, cross-subject models are employed to alleviate time-consuming calibration and avoid additional model training for target subjects by utilizing EEG data from source subjects. However, the diversity in data distribution among subjects limits the model’s robustness. In this study, we investigate a cross-subject MI-EEG decoding model with domain generali

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Quan, Zhenzhen, Stephen G. Oliver, and Nianshu Zhang. "JmjN interacts with JmjC to ensure selective proteolysis of Gis1 by the proteasome." Microbiology 157, no. 9 (2011): 2694–701. http://dx.doi.org/10.1099/mic.0.048199-0.

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A group of JmjC domain-containing proteins also harbour JmjN domains. Although the JmjC domain is known to possess histone demethylase activity, the function of the JmjN domain remains largely undetermined. Previously, we have demonstrated that the yeast Gis1 transcription factor, bearing both JmjN and JmjC domains at its N terminus, is subject to proteasome-mediated selective proteolysis to downregulate its transcription activation ability. Here, we reveal that the JmjN and JmjC domains interact with each other through two β-sheets, one in each domain. Removal of either or both β-strands or t

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Pawlikowska-Asendrych, Elżbieta. "The German Concept of AIR in Emotional Processes. A comparative Analysis German-Polish." Studia Neofilologiczne 17 (2021): 147–63. http://dx.doi.org/10.16926/sn.2021.17.09.

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The subject of the article is the metaphorical conceptualization of emotional processes on the basis of the general conceptual domain (German) LUFT (Polish: POWIETRZE) and detailed source domains. These domains constitute the experiential basis of our understanding and conceptualization of abstract emotional processes. The aim of the analysis is to identify German metaphorical expressions referring to the concept of AIR (LUFT) and compare them with expressions in Polish. The analysis is based on the theory of the metaphor of G. Lakoff and M. Johnson, according to which the analyzed expressions

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Yesin, V. I., and V. V. Vilihura. "Method for developing databases being easily adaptable to changes in the subject domain." Radiotekhnika, no. 195 (December 28, 2018): 184–92. http://dx.doi.org/10.30837/rt.2018.4.195.18.

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A method for developing relational databases with the schema invariant to subject domains is proposed. The use of this method unlike the traditional technology of designing relational databases allows: creating databases for various simulated subject domains that meet the requirements of consumers of the information product in the process of reengineering, with less time and financial costs; adapting relational databases built on the basis of a scheme with a universal basis of relations to dynamic changes in subject domains, without changing the database schema, due to the use of the created p

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Maicher, Lutz, and Benjamin Bock. "ActiveTM - The Factory for Domain-customised Portal Engines." JUCS - Journal of Universal Computer Science 15, no. (8) (2009): 1711–21. https://doi.org/10.3217/jucs-015-08-1711.

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Our goal is increasing the users' value and experience and decreasing the implementation time for web portals. To achieve this goal we adopt a subject-centric perspective on information architecture. The fundament of this approach is that portals should be driven by subject-centric models of the portals' domains. Out of these domain models, the interaction and interface design of the portals is self-evident. Amongst others, the international industry standard Topic Maps is a portal technology and an implementation of the subject-centric modelling paradigm. With ActiveTM we introduce a technolo

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Yang, Baoyao, and Pong C. Yuen. "Cross-Domain Visual Representations via Unsupervised Graph Alignment." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 5613–20. http://dx.doi.org/10.1609/aaai.v33i01.33015613.

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In unsupervised domain adaptation, distributions of visual representations are mismatched across domains, which leads to the performance drop of a source model in the target domain. Therefore, distribution alignment methods have been proposed to explore cross-domain visual representations. However, most alignment methods have not considered the difference in distribution structures across domains, and the adaptation would subject to the insufficient aligned cross-domain representations. To avoid the misclassification/misidentification due to the difference in distribution structures, this pape

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Paul, Prantosh K., and K. S. Shivraj. "Information Science: The Gramophone and I-Pod Nature Still in Curriculum and Knowledge Domain." Asian Journal of Information Science and Technology 6, no. 1 (2016): 24–28. http://dx.doi.org/10.51983/ajist-2016.6.1.123.

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Interdisciplinary Research is most important and valuable research trends now days; where several domains of Science, Management, Technology, Engineering, Interact each other and make a new knowledge cluster. There are so many interdisciplinary subjects emerging day by day such as Nano- Technology, Bio Technology, Environmental Science, Management Science, and VLSI Technology and so on. Like these domain, Information Science is an important domain of interdisciplinary nature. Information Science is combining subject from Science, Technology, Engineering, Management, Humanities and Commerce whi

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Rice, Amanda D., Kimberley Patterson, Evette D. Reed, et al. "Treating Small Bowel Obstruction with a Manual Physical Therapy: A Prospective Efficacy Study." BioMed Research International 2016 (2016): 1–8. http://dx.doi.org/10.1155/2016/7610387.

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Small bowel obstructions (SBOs) caused by adhesions are a common, often life-threatening postsurgical complication with few treatment options available for patients. This study examines the efficacy of a manual physical therapy treatment regimen on the pain and quality of life of subjects with a history of bowel obstructions due to adhesions in a prospective, controlled survey based study. Changes in six domains of quality of life were measured via ratings reported before and after treatment using the validated Small Bowel Obstruction Questionnaire (SBO-Q). Improvements in the domains for pain

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Muller, Peter A., Jennifer L. Mueller, and Michelle M. Mellenthin. "Real-Time Implementation of Calderón’s Method on Subject-Specific Domains." IEEE Transactions on Medical Imaging 36, no. 9 (2017): 1868–75. http://dx.doi.org/10.1109/tmi.2017.2695893.

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Yesin, V. I. "Database schema invariant to subject domains and its distinctive features." Radiotekhnika, no. 193 (May 15, 2018): 133–42. http://dx.doi.org/10.30837/rt.2018.2.193.13.

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The desire to avoid unnecessary costs inherent in the traditional methodology of creating relational databases, not only at the stages of conceptual and logical design, but also at the stage of physical design, has actualized the task of developing a database schema that is invariant to subject domains. The main developed and distinguishing elements of this scheme are as follows: composition, structure of the basic relations; implementation of integrity constraints; means ensuring the database security.

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Chow, Angela, and Katariina Salmela-Aro. "Task-values across subject domains: A gender comparison using a person-centered approach." International Journal of Behavioral Development 35, no. 3 (2011): 202–9. http://dx.doi.org/10.1177/0165025411398184.

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This study examined what kinds of groups can be identified according to students’ task-values across four subject domains (languages, math and science, social sciences, practical subjects) and the related gender differences using a person-centered approach. Latent class analysis was applied to classify 638 students (mean age = 15) into four task-value groups, namely, all-subjects (55%), practical-subjects (5.7%), high-math-and-science (20.2%) and low-math-and-science (19.1%) groups. Significant gender differences were found: boys dominated the high-math-and-science group (boys = 98%), while gi

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Biran, Ido, and Semën Gorfman. "Permissible domain walls in monoclinic ferroelectrics. Part II. The case of M_C phases." Acta Crystallographica Section A Foundations and Advances 80, no. 3 (2024): 293–304. http://dx.doi.org/10.1107/s2053273324002419.

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Monoclinic ferroelectric phases are prevalent in various functional materials, most notably mixed-ion perovskite oxides. These phases can manifest as regularly ordered long-range crystallographic structures or as macroscopic averages of the self-assembled tetragonal/rhombohedral nanodomains. The structural and physical properties of monoclinic ferroelectric phases play a pivotal role when exploring the interplay between ferroelectricity, ferroelasticity, giant piezoelectricity and multiferroicity in crystals, ceramics and epitaxial thin films. However, the complex nature of this subject presen

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Ma, Sufan, and Dongxiao Zhang. "A Cross-Attention-Based Class Alignment Network for Cross-Subject EEG Classification in a Heterogeneous Space." Sensors 24, no. 21 (2024): 7080. http://dx.doi.org/10.3390/s24217080.

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Background: Domain adaptation (DA) techniques have emerged as a pivotal strategy in addressing the challenges of cross-subject classification. However, traditional DA methods are inherently limited by the assumption of a homogeneous space, requiring that the source and target domains share identical feature dimensions and label sets, which is often impractical in real-world applications. Therefore, effectively addressing the challenge of EEG classification under heterogeneous spaces has emerged as a crucial research topic. Methods: We present a comprehensive framework that addresses the challe

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ROUSSOU, ANNA, and IANTHI-MARIA TSIMPLI. "On Greek VSO again!" Journal of Linguistics 42, no. 2 (2006): 317–54. http://dx.doi.org/10.1017/s0022226706003914.

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In the present paper we provide an account of VSO in Greek and its (relative) absence in Italian, despite the fact that both languages allow for postverbal subjects. We argue that this parametric difference reduces to different lexicalisation options regarding the D-system of the two grammars. We assume that the clause structure divides into three basic domains (V, T, and C), and that nominal (clitic) positions are available in each of these domains, which, as we argue, can be lexicalised not only by clitics but also by full DPs. On this basis, we argue that the subject and object DP in Greek

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Ding, Xinmin, Zenghui Zhang, Kun Wang, Xiaolin Xiao, and Minpeng Xu. "A Lightweight Network with Domain Adaptation for Motor Imagery Recognition." Entropy 27, no. 1 (2024): 14. https://doi.org/10.3390/e27010014.

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Brain–computer interfaces (BCI) are an effective tool for recognizing motor imagery and have been widely applied in the motor control and assistive operation domains. However, traditional intention-recognition methods face several challenges, such as prolonged training times and limited cross-subject adaptability, which restrict their practical application. This paper proposes an innovative method that combines a lightweight convolutional neural network (CNN) with domain adaptation. A lightweight feature extraction module is designed to extract key features from both the source and target doma

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Kaiser, Elsi. "Referential effects on verb agreement: Finnish numeral-noun constructions." Semantics and Linguistic Theory 1 (December 29, 2022): 420. http://dx.doi.org/10.3765/salt.v1i0.5388.

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This paper explores seemingly puzzling subject-verb agreement patterns with Finnish numeral noun constructions (NNCs, e.g. three birds) in subject position, which can occur with singular or plural verbs. This alternation is not predicted by current theories. Building on properties of Finnish independent of NNCs, I argue that the Finnish data can be reconciled with prior analyses if we analyze verb number marking as dependent on referential properties of the NNC. I suggest that NNCs with singular verbs do not involve agreement, but rather a default verb form that surfaces in contexts involving

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Kristiansen, Marita. "Domain dynamics in scholarly areas." Terminology 17, no. 1 (2011): 30–48. http://dx.doi.org/10.1075/term.17.1.03kri.

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The present paper discusses how scholarly areas are subject to different kinds of external pressure resulting in both concept and term changes. When representing domains in knowledge bases, a central purpose will be to capture the conceptual structures of the domains together with the terminology denoting the concepts. This pursuit is fundamentally challenged by the fact that domains are dynamic and develop over time. In the paper, this challenge is discussed in view of examples from three different domains, i.e., Organisational Behaviour, Financial Accounting and Crisis, Restructuring and Gro

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SECK, Cheikh. "Study and suppression of singularities in wave-type evolution equations on non-convex domains with cracks." Communications Faculty Of Science University of Ankara Series A1Mathematics and Statistics 71, no. 4 (2022): 1179–202. http://dx.doi.org/10.31801/cfsuasmas.1049893.

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One of the objectives of this paper is to establish the exact controllability for wave-type evolution equations on non-convex and/or cracked domains with non-concurrent support crack lines. Admittedly, we know that according to the work of Grisvard P., in domains with corners or cracks, the formulas of integrations by parts are subject to geometric conditions: the lines of cracks or their supports must be concurrent. In this paper, we have established the exact controllability for the wave equation in a domain with cracks without these additional geometric conditions.

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Gomez-Morales, Oscar, Hernan Perez-Nastar, Andrés Marino Álvarez-Meza, Héctor Torres-Cardona, and Germán Castellanos-Dominguez. "EEG-Based Music Emotion Prediction Using Supervised Feature Extraction for MIDI Generation." Sensors 25, no. 5 (2025): 1471. https://doi.org/10.3390/s25051471.

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Advancements in music emotion prediction are driving AI-driven algorithmic composition, enabling the generation of complex melodies. However, bridging neural and auditory domains remains challenging due to the semantic gap between brain-derived low-level features and high-level musical concepts, making alignment computationally demanding. This study proposes a deep learning framework for generating MIDI sequences aligned with labeled emotion predictions through supervised feature extraction from neural and auditory domains. EEGNet is employed to process neural data, while an autoencoder-based

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Lolaev, Musulmon, Shavkat Madrakhimov, Kodirbek Makharov, and Doniyor Saidov. "Choosing allowability boundaries for describing objects in subject areas." IAES International Journal of Artificial Intelligence (IJ-AI) 13, no. 1 (2024): 329. http://dx.doi.org/10.11591/ijai.v13.i1.pp329-336.

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Anomaly detection is one of the most promising problems for study and can be used as independent units and preprocessing tools before solving any fundamental data mining problems. This article proposes a method for detecting specific errors with the involvement of experts from subject areas to fill knowledge. The proposed method about outliers hypothesizes that they locate closer to logical boundaries of intervals derived from pair features, and the interval ranges vary in different domains. We construct intervals leveraging pair feature values. While forming knowledge in a specific field, a d

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Lolaev, Musulmon, Shavkat Madrakhimov, Kodirbek Makharov, and Doniyor Saidov. "Choosing allowability boundaries for describing objects in subject areas." IAES International Journal of Artificial Intelligence (IJ-AI) 13, no. 1 (2024): 329–36. https://doi.org/10.11591/ijai.v13.i1.pp329-336.

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Anomaly detection is one of the most promising problems for study and can be used as independent units and preprocessing tools before solving any fundamental data mining problems. This article proposes a method for detecting specific errors with the involvement of experts from subject areas to fill knowledge. The proposed method about outliers hypothesizes that they locate closer to logical boundaries of intervals derived from pair features, and the interval ranges vary in different domains. We construct intervals leveraging pair feature values. While forming knowledge in a specific field, a d

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Wang, Jiyang, Ayse Altay, Leanne Hirshfield, and Senem Velipasalar. "Block-Wise Domain Adaptation for Workload Prediction from fNIRS Data." Sensors 25, no. 12 (2025): 3593. https://doi.org/10.3390/s25123593.

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Functional near-infrared spectroscopy (fNIRS) is a non-intrusive way to measure cortical hemodynamic activity. Predicting cognitive workload from fNIRS data has taken on a diffuse set of methods. To be applicable in real-world settings, models are needed, which can perform well across different sessions as well as different subjects. However, most existing works assume that training and testing data come from the same subjects and/or cannot generalize well across never-before-seen subjects. Additional challenges imposed by fNIRS data include not only the high variations in inter-subject fNIRS

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