Problems Of Interpretation Research Articles

Creative industries: concept, features, and problems of legislative interpretation

The article explores the concept of creative industries, suggests their features, and analyses the list of creative industries of Ukraine in terms of correctness of legislative interpretations and substantive compliance with creative fields of activity. The definition of creative industries has been improved: these are areas of economic activity that create (produce) goods and/or provide services based on the use of intellectual (creative) capital and commercialize them by combining creative results with business solutions, which leads to the creation of added value and jobs. The use of the National Classifier of Ukraine DK 009:2010 "Classification of Types of Economic Activity" as the basis for the list of creative industries in 2019 was a wrong decision which, however, logically follows from the definition of creative industries introduced in 2018 in the Law of Ukraine "On Culture" which qualifies them as types, not spheres of economic activity. The literal application of this concept has led to the fact that the national list of creative industries has the following shortcomings: 1) artificial segmentation of one field of activity into several creative industries; 2) artificial unification of different areas of creative activity into one creative industry; 3) absence in the list of fields of activity which are essentially creative industries; 4) coverage by the list of fields of activity which do not produce creative products and do not provide creative services. It is concluded that a new, qualitatively different list of creative industries needs to be approved.

Phone numbers, emojis and GIF files as electronic signatures

Due to constant technological progress, the conclusion of electronic contracts has become common. Thus, electronic signatures are used to identify the parties and to express their agreement regarding the content of the contract. The use of these electronic signatures led to emojis being used in electronic contracts. The judicial cases in which these types of electronic signatures are apparently used, must be analyzed, as it is necessary to determine the probative power of the electronic document that contains this specific signature. We would also like to mention that a theoretical analysis of GIF files and phone numbers as electronic signatures is necessary in order to prevent certain legal interpretation problems that might arise in future litigation.

Foreword

Abstract The Foreword to this special issue of Itinerario describes the historical questions that inspired the Global Sea Routes project, from which the essays in the issue derive. It then illustrates the particular sources used in the project, namely logbooks, specifically those of the English East India Company, whose characteristics and interpretation problems are briefly presented. Then, it illustrates the digital tools used in the analysis of those sources and to obtain the digital graphic and cartographic representation of the research results; and finally, it introduces each individual essay contained in the issue.

The New Economics of Industrial Policy

We discuss the considerable literature that has developed in recent years providing rigorous evidence on how industrial policies work. This literature is a significant improvement over the earlier generation of empirical work, which was largely correlational and marred by interpretational problems. On the whole, the recent crop of papers offers a more positive take on industrial policy. We review the standard rationales and critiques of industrial policy and provide a broad overview of new empirical approaches to measurement. We discuss how the recent literature, paying close attention to measurement, causal inference, and economic structure, is offering a nuanced and contextual understanding of the effects of industrial policy. We re-evaluate the East Asian experience with industrial policy in light of recent results. Finally, we conclude by reviewing how industrial policy is being reshaped by a new understanding of governance, a richer set of policy instruments beyond subsidies, and the reality of deindustrialization.

Causal Inference and Prefix Prompt Engineering Based on Text Generation Models for Financial Argument Analysis

The field of argument analysis has become a crucial component in the advancement of natural language processing, which holds the potential to reveal unprecedented insights from complex data and enable more efficient, cost-effective solutions for enhancing human initiatives. Despite its importance, current technologies face significant challenges, including (1) low interpretability, (2) lack of precision and robustness, particularly in specialized fields like finance, and (3) the inability to deploy effectively on lightweight devices. To address these challenges, we introduce a framework uniquely designed to process and analyze massive volumes of argument data efficiently and accurately. This framework employs a text-to-text Transformer generation model as its backbone, utilizing multiple prompt engineering methods to fine-tune the model. These methods include Causal Inference from ChatGPT, which addresses the interpretability problem, and Prefix Instruction Fine-tuning as well as in-domain further pre-training, which tackle the issues of low robustness and accuracy. Ultimately, the proposed framework generates conditional outputs for specific tasks using different decoders, enabling deployment on consumer-grade devices. After conducting extensive experiments, our method achieves high accuracy, robustness, and interpretability across various tasks, including the highest F1 scores in the NTCIR-17 FinArg-1 tasks.

LANGUAGE CONCEPTS «DAY» AND «NIGHT» IN THE POETIC WORLD OF F.I. TYUTCHEV (THE EXPERIENCE OF CORPUS RESEARCH)

The present study is devoted to the interpretation of linguistic concepts “Day” and “Night” in the artistic texts of the classic of Russian poetry F.I. Tyutchev. The research is carried out in an interdisciplinary aspect based on the linguistic understanding of the concept and the interpretation of this concept in the literary study of the poetic text. In addition, the research uses corpus linguistics methods and corpus technologies for the analysis of a work of art. The relevance of the topic selection is due to the increasing interest of scientists in corpus studies of literary text. The research has a scientific novelty, which is justified by the insufficient development of algorithms for corpus research of poetic text, especially in terms of identifying concepts and their interpretation. The paper comprehensively reveals the theoretical foundations of the study of concepts in various aspects: linguistic, literary, corpus. The works of Kazakhstani scientists on the concepts on the basis of which the theoretical basis of the study is being built are reflected. The structure of the concept, its types and relationship with the author's idea are revealed. In the practical part, the interpretation of the concepts “Day” and “Night” in the lyrics of F.I. Tyutchev is presented, a corpus study is conducted to identify the frequency of use of a particular concept, the relationship of the concept with the thematic focus of the poem and its ideological content, interesting observations and conclusions are made. In addition to the theoretical substantiation of the problem of interpretation of artistic concepts in a poetic text, the paper presents an algorithm for the study of the concepts “Day” and “Night” in F.I. Tyutchev's poems, based on work with the RNC (Russian National Corpus).

Philosophical hermeneutics and scientific and pedagogical activities

Importance. Maintaining a continuous, equal dialogue between teachers and philosophers is one of the conditions for achieving the main humanitarian and educational goal – the upbringing of a spiritual and moral, comprehensively developed, socially responsible personality. Scientific and pedagogical activity is based on a certain system of philosophical and ideological ideas, principles and ideals that enrich and stimulate the development of educational thought and practice. Currently, the experience of philosophical hermeneutics, one of the directions of Western thought, is in great demand in educational practice. Hermeneutical theories influence the formation and formation of a special science – pedagogical hermeneutics. The principles of hermeneutics are increasingly being used as a theoretical and methodological basis for discussing and critically comprehending traditional pedagogical problems, such as methods of teaching and upbringing in the field of social sciences and humanities, assessment of the quality of education, the content and meaning of pedagogical activity. The ideas and positions of hermeneutics resonate in discussions about qualitative research. Hermeneutics helps to comprehend the genuine difficulties of interpretation that each individual faces in everyday life and professional activities. The purpose of the research is to reveal the possibilities of applying the experience of philosophical hermeneutics in the structure of scientific and pedagogical activity. To achieve this goal, the characteristic features and principles of hermeneutics as a philosophical tradition are considered, the cognitive potential of the hermeneutical approach in scientific and pedagogical practice is clarified.Materials and Methods. The following methods and approaches are used: 1) using the comparative historical method, the process of formation and development of philosophical hermeneutics is revealed, its conceptual evolution is analyzed; 2) the fundamental method of interpretation is used to work with texts of prominent representatives of philosophical hermeneutics; 3) the application of an interdisciplinary approach is due to the combination in the study of various fields of knowledge: philosophy, pedagogy, linguistics, psychology; 4) on the basis of a systematic approach, an analytical description of the applied aspect of philosophical hermeneutics for pedagogy is provided. The historical and philosophical reconstruction of the ideas and principles of hermeneutics was carried out on the basis of the works of F. Schleiermacher, W. Dilthey, M. Heidegger, G.-G. Gadamer. The specificity of the hermeneutical methodology is comprehended against the background of the positivist methodology opposite to it.Results and Discussion. The cognitive potential of the hermeneutical approach in scientific and pedagogical practice is considered. It is noted that this approach provides the teacher with an understanding of the meaning of key educational terms, which helps to avoid situations of conceptual confusion in pedagogical communication. Understanding and interpretation can cause certain difficulties for students themselves when they relate to the content of various texts. In such cases, the teacher should find out the causes of the difficulties that arise, and help the students overcome them. It is emphasized that hermeneutics forms a specific style of thinking with a clearly pronounced anti-positivist orientation. The widespread opinion about the teacher as a subject of educational activity and the bearer of genuine knowledge, which he must “put into the heads” of students, in hermeneutics gives way to the idea of learning as a process of mutual creativity, cooperation between the teacher and the student. The role of the teacher is reduced to creating conditions that ensure the “merging of horizons” of participants in pedagogical activity. Hermeneutics stimulates the formulation of questions aimed at understanding the meaning of educational activity, it clarifies the degree of involvement of the teacher in the realization of this meaning. Starting from the idea of ontological inclusion of a person in a cultural and historical tradition, hermeneutics makes it possible to understand to what extent prejudices determine our behavior and thinking, and how this circumstance affects interpersonal relationships. The hermeneutical approach makes it possible to interpret educational activities based on the idea of the uniqueness of pedagogical experience. The use of the hermeneutical method assumes that the teacher-researcher associates himself not with an impartial observer, but with a full participant in the dialogical search. Thanks to the joint efforts of the researcher and other participants in the hermeneutical conversation, meaning and understanding merge.Conclusion. It is shown that the problem of interpretation, considered in the framework of educational activities, is of a practical nature. Modern philosophical hermeneutics, having made an ontological turn, overcomes the Cartesian view of the abstract opposition of subject and object, tradition and reason, which prevails in “modernist” pedagogy. Teachers can benefit from the analysis and development of the most important ideas and provisions of hermeneutics for their application in scientific and pedagogical activities, as it helps to realize their own prejudices, questions initial interpretations, strengthens the position of self-reflection regarding the educational process.

«Πόλις», «civitas» та «res publica»? Problem of interpretation the nature of the Ancient Roman state in scientific works

«Πόλις», «civitas» та «res publica»? Problem of interpretation the nature of the Ancient Roman state in scientific works

The information, control, and value models of mobile health-driven empowerment.

Mobile health tools are often said to empower users by providing them with the information they need to exercise control over their health. We aim to bring clarity to this claim, and in doing so explore the relationship between empowerment and autonomy. We have identified three distinct models embedded in the empowerment rhetoric: empowerment as information, empowerment as control, and empowerment as values. Each distinct model of empowerment gives rise to an associated problem. These problems, the Problem of Interpretation, the Value Alignment Problem, and the Priority Problem, show that mobile health tools in their current form are either insufficient for empowerment or are self-defeating. These digital health technologies encourage users to adopt an individualized conception of autonomy, one that may weaken the doctor-patient relationship and undermine practices in shared decision making, and ultimately may not deliver on improving the health outcomes for those that need it the most.

Intelligent vehicle trajectory tracking control based on physics-informed neural network dynamics model

In order to solve the accuracy problem of trajectory tracking control method based on data-driven model, an intelligent vehicle trajectory tracking control method based on physics-informed neural network (PINN) vehicle dynamics model is proposed. Aiming at the problem of poor interpretability of data-driven model, a vehicle dynamics model based on the PINN is established, and the physics-driven deep learning method is used instead of the data-driven deep learning method to obtain the dynamic characteristics of the intelligent vehicle, to benefit from both the physical-based method and the data-driven method. A sequential training method is also proposed to solve the coupling problem when training multiple PINNs simultaneously. The model takes the nonlinearity of the neural network model and physical interpretability into consideration compared to the standard neural network model. Then, based on the PINN vehicle dynamics model, a trajectory tracking controller based on the iterative linear quadratic regulator (ILQR) control algorithm is developed. The optimal control law is derived by optimizing the ILQR control algorithm to implement the intelligent vehicle’s precise and stable tracking for the desired trajectory. The Levenberg-Marquardt (LM) algorithm and line search technology are used and damping factor adjustment rules are set up to enhance the convergence performance of the ILQR control algorithm. In order to verify the effectiveness of the proposed method, the simulation is conducted under the condition of double lane change. The simulation results demonstrate that the proposed method can track the reference trajectory accurately under the limited conditions. Its control performance is much better than other algorithms.

Optimal Feature Selection from High-dimensional Fusion of Blood Smear Images for Leukemia Diagnosis

The goal of this study is to improve blood smear image-based blood cancer prediction through medical diagnostic advancements. Blood cancers, particularly leukemia, are challenging to diagnose because of the complexity of biological data and the dimensionality of medical images. There are interpretability and computational problems with each currently in use. We suggest the Random Forest-Recurrent Feature Elimination (RF-RFE) model to increase the precision and dependability of blood cancer diagnosis. This model integrates machine learning and image processing, optimizes feature selection and refinement from high-dimensional data, and applies the XGBoost algorithm to guarantee diagnosis accuracy. Recent model analysis reveals that RF-RFE performs better than them on a wide range of metrics. The RF-RFE offered a sensible, well-rounded strategy. More research on medical diagnostics is made possible by its adaptability in multi-class classification and effectiveness in handling high-dimensional feature values. The optimized feature set and computational efficiency of the model, which may enhance leukemia detection and diagnostics, are highlighted in this study.

Comment: A reexamination of , bed-scale impact and recovery of a commercially important intertidal seaweed

Johnston et al., 2023 (Bed-scale impact and recovery of a commercially important intertidal seaweed. J. Exp. Mar. Biol. Ecol. 561) report that rockweed biomass recovers to pre-harvest levels one year after commercial harvest. The Johnston et al. study has two major problems in design, execution, and interpretation of results: 1) industry partner conflict of interest and statistically undetectable impact of the harvest treatment on Ascophyllum nodosum (rockweed) beds, 2) incomplete statistical analysis with inappropriate inferential conclusions about biomass recovery of harvested rockweed beds. Our analysis of their data shows that the only regions of the coast where rockweed biomass recovered to pre-harvest levels are the three regions where the harvest treatment was never detectable. In the one region where the harvest treatment was detectable, rockweed biomass did not recover to pre-harvest levels in a year. Rockweed is a foundational species in the rocky intertidal food web as well as an ecosystem engineer. The improper interpretation by Johnston, et al. of the study data is misleading ecosystem managers and the public about the impacts of commercial rockweed harvests. Most concerning, this paper sets a false foundation for marine policy on commercial rockweed harvesting in Maine.

Physical data-driven modeling of deformation mechanism constraints on earth-rock dams based on deep feature knowledge distillation and finite element method

Constructing an interpretable model for the long-term deformation Structural Health Monitoring (SHM) of earth-rock dams is of great significance for improving the safety state evaluation and monitoring effect. In this paper, a physics-data-driven model for the deformation SHM of earth-rock dams is proposed based on deep mechanism knowledge distillation. Firstly, the deterministic model is established based on the Finite Element Model (FEM) and outputs the hydraulic load component curve and aging component curve. Then a regression prediction model (HTSGAN) between influencing factors and deformation measurements at multiple measurement points is established based on the Graph Convolutional Network (GCN) and attention mechanism. Finally, the Teacher-Hydraulic-Time-Seepage Graph Attention Networks (T-HTSGAN) model is established based on the feature-based multi-teacher knowledge distillation using the knowledge of hydraulic loading physics and soil-rock creep physics of the FEM for mechanism constraints. The model effectively solves the problems of poor model interpretability and lack of physics knowledge constraints in previous earth-rock dam SHM models. The research results are applied to a project of a 185.5-meter-high concrete-faced rockfill dam, and the predictive performance of the model is more effective and stable through the comparison of six baseline models. The comparative analysis of the component curves proves the effectiveness of the proposed knowledge distillation method for mechanism constraints and improves the interpretability of the neural network model. Therefore, the model is more suitable for engineering applications.

A review of the Research on Tunnel Lining Voiding Detection Based on Acoustic Vibration Method

In the study of nondestructive testing technology for tunnel lining voiding detection, the traditional nondestructive testing technology has many drawbacks such as poor detection accuracy, high subjectivity, and easy to be interfered with, etc., and the combination of acoustic vibration method and deep learning technology has the problems of uneven distribution of the data set, poor interpretability, and other problems that are difficult to be applied to industrial applications, which summarizes the current acoustic vibration testing technology and its application to the study of tunnel lining voiding. Firstly, the non-destructive testing techniques used in the current tunnel lining voiding detection research are sorted out, and then a variety of tunnel lining voiding detection research methods based on acoustic vibration method with potential applications in the industrial field are analyzed, followed by an overview of the current situation from the point of view of deep learning combined with the acoustic vibration method for the detection of tunnel lining voiding, and then the direction of the next step of the research is discussed and analyzed. The full paper is summarized, and future challenges are pointed out.

Some Criminal Procedure Aspects of Overcoming Counteraction to the Investigation of Crimes Committed by Administrative and Managerial Elite

The investigation of official malfeasance committed by administrative and managerial elites is often accompanied by a number of objective and subjective difficulties. In addition to the specifically forensically relevant features of the subjects of crimes aimed at counteracting the investigation, which is carried out both directly by these subjects or indirectly through defense attorneys and other stakeholders, a significant role is played by the drawbacks found in a number of criminal procedure norms regulating the grounds and the procedures for conducting procedural actions, especially the inspection of the crime scene and other types of inspections. Insufficient clarity of regulations, possibilities of dual interpretations, gaps and collisions lead to a lack of uniformity in their application in investigation and court practice, which acts as a fertile ground for the emergence of conflicts between the prosecution and the defense. Having analyzed the clauses of Art. 176–180 of the Criminal Procedure Code of the Russian Federation, primarily in reference to official malfeasance, the author presents his suggestions on improving the wording of specific criminal procedure norms. The author gives his own definition of the concept «the scene of the incident», and argues for its legitimization in Art. 5 of the Criminal Procedure Code of the Russian Federation, thus neutralizing both the problem of ambiguous interpretations of this term, and the correlation between the inspection of the scene of the incident and other types of inspections, aimed at studying a certain area. In connection with this suggestion, the author also presents the projects of the norms in Parts 5 and 6 of the Criminal Procedure Code of the Russian Federation that specify the procedural forms for inspecting dwellings and territories under the jurisdiction of a juridical person or an entrepreneur.

Film discourse: the semantic interpretation of film titles

This article discusses the problems of semantic interpretation of the titles of feature films, as films turned into influential means of mass communication in the modern life. Filmonyms as one of the types of small-format texts has become the object of linguistic research. The significance of the film discourse as an audiovisual discourse is determined by the possibilities of its impact on the addressee. Author comprehensively analyzed the works of foreign and Kazakhstani linguists who studied the film discourse from various aspects. The purpose of the article is to identify linguistic and pragmalinguistic interpretation of Kazakhstani film titles. To achieve the goal, the following tasks were set: to consider semantic interpretation of the titles of feature films, to identify aesthetic function of film discourse, to group films into semantic categories, to offer the definition of the concept of “film discourse”. The scientific significance of the research work expands the research scope of film-discourse as a type of institutional discourse. Practical significance is due to the fact that research results can be used as materials for preparing lectures and cases on audiovisual discourse and pragmalinguistic features applied to the names of Kazakhstani films should undoubtedly become the object of further research by linguists.

Dimensionality reduction and machine learning based model of software cost estimation

Software Cost Estimation (SCE) is one of the research priorities and challenges in the construction of cyber-physical-social systems (CPSSs). In CPSS, it is urge to process environmental and social information accurately and use it to guide social practice. Thus, in response to the problems of low prediction accuracy, poor robustness, and poor interpretability in SCE, this paper proposes a SCE model based on Autoencoder and Random Forest. First, preprocess the project data, remove outliers, and build regression trees to fill in missing attributes in the data. Second, construct a Autoencoder to reduce the dimensionality of factors that affect software cost. Subsequently, the performance of the model was trained and validated using the XGBoost framework on three datasets: COCOMO81, Albrecht, and Desharnais, and compared with common cost prediction models. The experimental results show that the MMRE, MdMRE, and PRED (0.25) values of the proposed model on the COCOMO81 dataset reached 0.21, 0.16, and 0.71, respectively. Compared with other models, the proposed model achieved significant improvements in accuracy and robustness.

A Collaborative Platform for Advancing Automatic Interpretation in ECG Signals.

Numerous papers report the efficiency of the automatic interpretation capabilities of commercial algorithms. Unfortunately, these algorithms are proprietary, and academia has no means of directly contributing to these results. In fact, nothing at the same stage of development exists in academia. Despite the extensive research in ECG signal processing, from signal conditioning to expert systems, a cohesive single application for clinical use is not ready yet. This is due to a serious lack of coordination in the academic efforts, which involve not only algorithms for signal processing, but also the signal acquisition equipment itself. For instance, the different sampling rates and the different noise levels frequently found in the available signal databases can cause severe incompatibility problems when the integration of different algorithms is desired. Therefore, this work aims to solve this incompatibility problem by providing the academic community with a diagnostic-grade electrocardiograph. The intention is to create a new standardized ECG signals database in order to address the automatic interpretation problem and create an electrocardiography system that can fully assist clinical practitioners, as the proprietary systems do. Achieving this objective is expected through an open and coordinated collaboration platform for which a webpage has already been created.

V.A. Favorsky’s Theory of the Book and the Problem of Artistic Interpretation of Literary Content

The article is devoted to the actual problems of the theory of the book, created and largely practically implemented by V.A. Favorsky and his associates in the 1930s —1950s. This theory was based on the principle of perception of the book as a synthetic art, which is confirmed by the tradition of handwritten books, relevant to the era of printing. The main contradiction faced by those who largely follow the work of V.A. Favorsky remains the correlation of the aesthetic concept of the book with its literary content. There are many dark places in V.A. Favorsky’s theory connected with this problem. Different approaches to this problem, characteristic of such a complex, synthetic work as a book, are analyzed, including issues related to the psychology of creativity, with a deep study of literary material when working on a book. The ambiguous experience of V.A. Favorsky, associated with immersion in the material of the book, with the study of the cultural context of the work, is considered. The article also highlights the important problem for V.A. Favorsky of the perception of a literary text in connection with the ideology and historical context of various epochs.The theoretical legacy of V.A. Favorsky does not lose relevance in our time, when the art of books is in need of pioneering approaches related to electronic publications of various types, including on the basis of the principle of “relay race of arts”, developed by the director and art theorist S.V. Obraztsov. Taking into account the current state of book publishing and its prospects, an updated appeal to the legacy of V.A. is proposed. Favorsky, which would solve the task of creating books at a high artistic level, taking into account the educational and informative functions of the book, without contradictions with the literary content of the work.

Entangled worlds: the becoming of interpretive spaces in pupils’ engagement with literature through process drama

ABSTRACT This article explores the potential for engaging 7 and 8-year-old school pupils in performative literature interpretation through process drama. Inspired by new materialism and affect theory, we focus on how literature interpretations come into being in dramatic fiction, and on how these becoming interpretations merge with the classroom. The study explores interpretive spaces as entangled worlds in mutual engagement of pupils, teachers, and researchers in interpretation through process drama. The study establishes a theoretical framework in pointing out ways in which process drama performances contribute to engage the youngest school pupils in literature interpretation and present social problems.