Thematic Model Research Articles

Feasibility testing of a peer support programme for prisoners with common mental disorders and substance use.

The prevalence of mental disorders and substance use among prisoners is high. Convicted prisoners of 'good behaviour' can be part of a peer support system in prisons. To evaluate the feasibility of a peer support programme for prisoners with common mental disorders and substance use in prison. The study used a mixed method research design, with a quasi-experimental approach (single group pre-post without control). It was conducted in two phases: Phase I. Thirty-five peers/convicted prisoners were recruited through advertisements on the prisoners' community radio station. Volunteers with good behaviour reports were given training over 5days to recognise mental and substance use disorders and provide basic peer support in prison; their attitudes and knowledge were tested before and after the training. Feasibility of the peer support programme was tested by (i) recording the number of cases identified and referred, (ii) pre- and post-evaluation of well-being, coping, and symptom severity of those supported and (iii) evaluating qualitatively the experience of the peer supporters and service users. Thirty-five peer supporters identified 49 cases over 3months. These cases showed significant improvement in well-being (Z -1.962; p<0.050) and reduction in symptom severity (Z -1.913; 0.056). There was a significant improvement in the peers supporters' self-esteem from pre- to post-training (t -3.31; p<0.002), improvement in their benevolence (t -4.37; p<0.001) and a significant reduction in their negative attitudes to mental illness (Z -3.518; p<0.001). A thematic model of peer support encompassed self-experienced benefits for the peer supporter, wider recognition of peer supporters in the prison, challenges to this kind of support, experience of training and visions for future work. The peer support programme was experienced positively by the peer-supporters and supported. Common mental disorders, substance use and suicidality were recognised and appropriately referred. A full-scale evaluation of this promising programme is warranted.

Trending topics and themes in environmental innovation research based on topic modeling

AbstractIn the context of carbon neutrality, environmental innovation has become an important way for companies to achieve sustainable development and gain a competitive advantage. To systematically grasp the current status of the environmental innovation literature, this study conducted a thematic modeling and coding analysis of 19,936 papers published between 2000 and 2022 using an unsupervised thematic model. The research content pertaining to environmental innovation was sorted following the logic of “influencing factors, boundary conditions, and influencing outcomes.” The results showed that previous scholars had classified the factors driving environmental innovation based primarily on five theories, including stakeholder theory, resource‐based theory, institutional theory, informal institutional theory and upper echelons theory. Green absorptive capacity, firm size, and slack resources played a moderating role in the influence of other factors on environmental innovation, but the relationship between environmental innovation and firm performance remained uncertain. Finally, combining the limitations of previous studies, we outline several directions for future research to achieve breakthroughs.

Do They Have a Choice? Surrogate Decision-Making After Severe Acute Brain Injury.

In the early phase of severe acute brain injury (SABI), surrogate decision-makers must make treatment decisions in the face of prognostic uncertainty. Evidence-based strategies to communicate uncertainty and support decision-making are lacking. Our objective was to better understand surrogate experiences and needs during the period of active decision-making in SABI, to inform interventions to support SABI patients and families and improve clinician-surrogate communication. We interviewed surrogate decision-makers during patients' acute hospitalization for SABI, as part of a larger ( n = 222) prospective longitudinal cohort study of patients with SABI and their family members. Constructivist grounded theory informed data collection and analysis. One U.S. academic medical center. We iteratively collected and analyzed semistructured interviews with 22 surrogates for 19 patients. None. Through several rounds of coding, interview notes, reflexive memos, and group discussion, we developed a thematic model describing the relationship between surrogate perspectives on decision-making and surrogate experiences of prognostic uncertainty. Patients ranged from 20 to 79 years of age (mean = 55 years) and had primary diagnoses of stroke ( n = 13; 68%), traumatic brain injury ( n = 5; 26%), and anoxic brain injury after cardiac arrest ( n = 1; 5%). Patients were predominantly male ( n = 12; 63%), whereas surrogates were predominantly female ( n = 13; 68%). Two distinct perspectives on decision-making emerged: one group of surrogates felt a clear sense of agency around decision-making, whereas the other group reported a more passive role in decision-making, such that they did not even perceive there being a decision to make. Surrogates in both groups identified prognostic uncertainty as the central challenge in SABI, but they managed it differently. Only surrogates who felt they were actively deciding described time-limited trials as helpful. In this qualitative study, not all surrogate "decision-makers" viewed themselves as making decisions. Nearly all struggled with prognostic uncertainty. Our findings underline the need for longitudinal prognostic communication strategies in SABI targeted at surrogates' current perspectives on decision-making.

Examining the Spatial Effect of “Smartness” on the Relationship between Agriculture and Regional Development: The Case of Greece

Digital transformation in farming via smart farming technologies (SFTs) is highly considered to stimulate sustainability in the food market and agriculture, as well as to promote viability in the agricultural sector and the prosperity of rural areas. In Greece, a great number of SFTs were financed through Action 4.1.1, by the EU’s Rural Development Program, supporting agricultural production and promoting sustainable regional development. Within this policy context, this paper aims to examine the transformation level that “smartness” induced in the relationship between agriculture and regional development in Greece. To do so, it builds a multilevel methodological framework thematically describing both “traditional” and smart agriculture in terms of spatial demand, transportation cost, knowledge intensity, and economies of scale, which are theoretically and empirically considered as major pillars related to regional development. The analysis is applied regional data (NUTS 3) in Greece, focusing on the detection of significant spatial and functional changes in the thematic model developed with respect to the proposed methodological framework. Findings provide insights into the effect that the SFTs can have on sustainable regional development, based on the reasoning of relevant background regional economic theories.

The use of topic modeling to optimize the process of searching for relevant historical documents (on the example of the stock exchange press of the early 20th century)

The key task of the presented article is to test how we can analyze the information potential of a historical sources collection by using thematic modeling. Some modern collections of digitized historical materials number tens of thousands of documents, and at the level of an individual researcher, it is difficult to cover available funds. Following a number of researchers, we suggest that thematic modeling can become a convenient tool for preliminary assessment of the content of a collection of historical documents; can become a tool for selecting only those documents that contain information relevant to the research tasks. In our case, the Birzhevye Vedomosti newspaper was chosen as one of the main collection of historical documents. At this stage, we can confirm that in our study, the use of topic modeling proved to be a productive solution for optimizing the process of searching for historical documents in a large collection of digitized historical materials. At the same time, it should be emphasized that in our work topic modeling was used exclusively as an applied tool for primary assessment of the information potential of a documents collection through the analysis of selected topics. Our experience has shown that, at least for Birzhevye Vedomosti, topic modeling with LDA does not allow us to draw conclusions from the standpoint of our content analysis methodology. The data of our models are too fragmentary, it can only be used for the initial assessment of the topics describing the information contained in the source.

Discussions about the Russian Revolution of 1917 on the Web: methodological approaches to the study of web forums as a historical source

The subject of the study is a methodology for analyzing the electronic content of social networks (forums) as a historical source. The discussion of the revolution of 1917 during the centenary of this historical event was used as a material for analysis. The aim of the study was to test approaches to the methodology of working with large arrays of online texts, and the possible combination of two approaches to working with online texts - quantitative analysis tools (distant reading) and traditional methods of working with historical text (slow reading). As part of the "distant reading", thematic modeling is used using the LDA (latent Dirichlet placement) and LSA (latent semantic analysis) algorithm in the R programming environment in the R studio program (version 4.2.1). During the "slow reading" we analyze the entire volume of the text directly.The novelty of the research lies in the application of thematic modeling to sources in the R programming environment in conjunction with classical methods of analyzing historical texts. Within the framework of the study, a methodology for analyzing the content of social networks (forums) has been tested, focused on substantial arrays of text that are physically impossible to read in full or at least in a significant part, using exclusively traditional means of interaction of the researcher with the corpus of sources. A step-by-step research algorithm is proposed, in which the researcher needs to analyze the text by "distant reading" methods, identifying the topics of texts consisting of terms (words). Then, using these keywords, you should find the relevant text fragments in which the identified topic was discussed most actively, and analyze the fragments in more detail using traditional methods of working with a text source. A possible way to improve the quality of identifying topics necessary for the researcher in social networks and forums by the LDA algorithm is proposed, namely, preliminary splitting of a large text and subsequent analysis of fragments by the LDA method as separate documents.

Software framework for hyperparameters optimization of models with additive regularization

The processing of unstructured data, such as natural language texts, is one of the urgent tasks in the development of intelligent products. In turn, topic modeling as a method of working with unmarked and partially marked text data is a natural choice for analyzing document bodies and creating vector representations. In this regard, it is especially important to train high-quality thematic models in a short time which is possible with the help of the proposed framework. The developed framework implements an evolutionary approach to optimizing hyperparameters of models with additive regularization and high results on quality metrics (coherence, NPMI). To reduce the computational time, a mode of working with surrogate models is presented which provides acceleration of calculations up to 1.8 times without loss of quality. The effectiveness of the framework is demonstrated on three datasets with different statistical characteristics. The results obtained exceed similar solutions by an average of 20 % in coherence and 5 % in classification quality for two of the three datasets. A distributed version of the framework has been developed for conducting experimental studies of topic models. The developed framework can be used by users without special knowledge in the field of topic modeling due to the default data processing pipeline. The results of the work can be used by researchers to analyze topic models and expand functionality.

Indicator system for monitoring the sustainability of historic centers associated with transportation

The study focused on the management control of sustainability related to transportation in historic centers, given its influence on the social development of these areas. The primary purpose was to establish a system of indicators to monitor transportation sustainability in such centers. Techniques such as literature review, surveys, direct observation, expert consultations, and brainstorming were employed to achieve this. Various thematic models were analyzed, supported by software tools such as Microsoft Office Excel 2010, Microsoft Office Visio 2010, and EndNote X7. As a result of this research, twenty indicators were identified, meticulously described, and categorized under three sustainability perspectives: social, economic, and environmental. These indicators, derived from strategic objectives, are essential to assess the effects of transportation in historic centers and to facilitate prompt interventions that mitigate negative impacts, thereby improving the quality of life and urban sustainability

ТЕМАТИЧЕСКОЕ МОДЕЛИРОВАНИЕ И СУММАРИЗАЦИЯ ТЕКСТОВ В ОБЛАСТИ КИБЕРБЕЗОПАСНОСТИ

Purpose: improving the quality of text document analysis through the use of machine learning and intellectual analysis models in summarizing and topic modeling tasks, which will reduce the load on an expert who analyzes and generalizes significant volumes of semi-structured text data on information security topics from various sources. Methods: machine learning methods were used for the operational processing and analysis of large volumes of heterogeneous ill-structured information in natural language (NL). Methods of thematic modeling and summarization of texts based on deep neural networks, including neural network language models based on the architecture of transformers, are applied. Practical relevance: the main stages of the machine procedure of thematic modeling and summarization of professional texts in the field of information security are highlighted. The results of a comparative evaluation of the effectiveness of using clustering models, latent semantic analysis, Fast Text, Text Rank language models and BERT transformers for these purposes are presented. Recommendations are given regarding the prospects for the practical application of these models as a means of intellectual support for the professional activities of cybersecurity specialists. Scientific novelty: a complex of machine learning models for thematic modeling and summarization of professional texts is proposed, based on neural network models of attachments and transformer models, characterized by an algorithm for preparing a corpus of texts for training models and the use of a learning transfer algorithm, which will increase the efficiency of analysis and generalization of domain-specific corpora of texts.

РЕГИОНАЛЬНАЯ ИНФОРМАЦИОННАЯ СРЕДА: СОЦИАЛЬНО-ЭКОНОМИЧЕСКАЯ СПЕЦИФИКА

The study is a clustering of news of the subjects of the Russian Federation for the year 2021. Using tokenization, lemmatization and TF-IDF method, key terms and attributes used for model building were identified. Using the LDA thematic modeling method, the main clusters characterizing the media space of the subjects under consideration were selected and key words and phrases associated with each of the identified topics were highlighted. A classification model was built using a random forest classifier, identifying explicit and meaningful clusters of news in different Russian subjects. The model takes the news text as input and returns the predicted category or topic to which the news belongs. Eleven clusters were examined in detail and characterized by their constituent main tokens and assigned names describing them. The results of the analysis of the distribution of news clusters allow us to form an idea of priorities and emphases in the public discourse. It was found that economic dynamics, regional ratings, natural and tourist aspects, as well as the political spectrum and electoral processes play a key role in attracting public attention. Also, the main accents of news in the listed subjects were considered in view of the maximum or minimum presence of certain clusters in them, and the facts substantiating these results and explaining the conclusions obtained by news clustering were given. The results of this analysis can be used to form regional development strategies, identify the strengths and weaknesses of each region, determine priority areas for investment and development, and develop communication strategies to attract the attention of society and investors.

Analysis of Japanese beauty salon website by using topic model and covariance structure analysis

A foreign traveler has many purposes while abroad. Some research tells eating delicious foods was travelers’ first priority and that visiting a hair salon was their seventh priority. Thus, foreign tourists are interested in visiting hair and beauty salons and would likely visit a beauty salon in Japan if they had a chance. there is much information for searching salons. However, they don’t have enough time to search for information. This study used data from the beauty salon website Hot Pepper Beauty, extracted 55,580 data. We analyzed these data and demonstrated the relationship among website data. The research method was as follows: first, a basic calculation was conducted for assessment elements that depended on the area. Second, a topic model was developed for investigating a part of the shop’s information, the stylist’s report, and the client examiner’s sentence. Third, an expected value computes each topic word and attempted to conduct correlation analysis. The analysis of the covariance structure also attempted to analyze the potential of the thematic model and evaluation. We obtained several outputs from these outputs and found future discussion topics for not only tourists but also shop managers and their staff.

ОСОБЕННОСТИ ОПРЕДЕЛЕНИЯ ОСНОВНЫХ ТРЕНДОВ ЭКОНОМИЧЕСКОГО РАЗВИТИЯ В РОССИИ НА ОСНОВЕ ПРИМЕНЕНИЯ МЕТОДА СТРУКТУРНОГО ТЕМАТИЧЕСКОГО МОДЕЛИРОВАНИЯ

This paper assesses the degree of news coverage by topic by applying structural topic modelling. The preliminary stage involves the computeraided gathering and systematisation of information from the Lenta.ru online news portal, converting words into a single form, and cleaning the text data from stopwords. The method of structural thematic modelling (STM) was used in this study, which made it possible to identify the 25 most popular topics for publication on the news portal and to determine the frequency of occurrence of the words in the subject and their uniqueness. Correlation and regression analyses indicated the correlation of the topics under study and the change in the degree of coverage of the topics over time.

ANALYSIS OF THE NEEDS FOR DIGITAL-BASED DIGITAL-BASED TEACHING MODULES INTEGRATED HIGH LEVEL THINKING SKILLS

This study aims to analyze the development needs of the development of digitally integrated KBAT-based thematic elementary school teaching modules. The research was conducted using a survey method at 9 (nine) elementary schools in Aceh Besar and Banda Aceh districts. The research subjects were 18 classroom teachers who taught thematic learning. The objects studied were the responses of school principals and teachers to the development of KBAT integrated digital-based elementary thematic teaching module development, the tendency of teachers to apply thematic models in school learning, student reasoning, and student character. Data were collected by interviews, questionnaires, observations, and tests. Data were analyzed descriptively. The results of the analysis show that (1) school principals have not provided guidance on developing thematic models, so they support development efforts.

Masalah Kurikulum dan Pembelajaran Jenjang Pendidikan Dasar; Studi Kasus di Kecamatan Paciran Kabupaten Lamongan

The purpose of this research is to find out the implementation of learning in the thematic curriculum at the elementary education level? Which includes knowledge about thematic learning and books or teaching materials used. Obstacles encountered during the implementation of thematic learning in determining models, media, and assessments in thematic learning in the Paciran district, Lamongan Regency. This research uses a type of qualitative research with a qualitative descriptive approach. The researcher made direct observations in the field to study in more depth, as a non-participant researcher. The results of this study not all of them understand the substance of the thematic curriculum, so that in implementation there are still many deficiencies, in the implementation many teachers are happy because they are suitable for the age of the child. , as well as supporting facilities for thematic models, including aspects of assessment which in implementation must assess all aspects of learning themes but the teacher must assess according to the basic competencies of the subjects included in each theme.

Problemy razrabotki informacionno-analiticheskoj sistemy po istorii social'noj pomoshchi v Enisejskoj gubernii (XIX – pervaya chetvert' XX v.)

A description of the algorithms and processes for processing historical documents and sources in order to create an information and analytical system (IAS) for studying the history of social assistance in the Yenisei province is given. The possibilities and prospects of the IAS to conduct a comparative analysis of historical materials with modern socio-political discourse on similar topics are outlined. The current state of the software in terms of semantic text analysis and thematic modeling based on the BigARTM platform is analyzed.

STRATEGI PEMBELAJARAN BAHASA ARAB MENGGUNAKAN MODEL PEMBELAJARAN TEMATIK

As we know that learning will not be optimal if there is no learning strategy because the learning strategy is an operational method, it will include the style that the teacher uses in composing lessons, the arts that are displayed by the teacher in the learning process as well as facilities and media in various forms for the learning process, and Learning strategies can be a major factor in the success of language learning.One example of in supporting Arabic learning, the thematic model is one solution. The curriculum K- 13 at the elementary school level gives birth to an eye that is mixed into a single unit, namely thematic. Learning Arabic thematic model is a method that refers to the themes in the environment around students. And the thematic learning aims to develop the competence of attitudes, knowledge, and skills of students. Especially in learning Arabic, it can create a comfortable and pleasant classroom atmosphere, build cohesiveness with each other such as forming cooperative groups, collaborations, study groups, can encourage students to solve problems, Learners can quickly and timely obtain information. In carrying out learning with the thematic model, it must be in accordance with the principles and foundations in accordance with what has been described based on the socialization of the 2013 curriculum provided by the Ministry of Education and Culture.

NEEDS ANALYSIS OF HOTS INTEGRATED PROBLEM BASED LEARNING AND SOCIAL INCLUSSION INTERNET BASED LEARNING MODELS OF THINGS

The purpose of this research is to evaluate the development requirements for creating HOTS-based thematic elementary school teaching modules that are digitally connected. In North Sumatra Province, the study was carried out utilizing a survey method at 9 Elementary Schools. 18 teachers of thematic learning in the classroom served as the research participants. The subjects of the study were principals' and teachers' reactions to the emergence of problem-based learning (PBL) integrated classrooms and social inclusion, instructors' propensity to use theme models in the classroom, students' thinking, and students' character. Interviews, questionnaires, observations, and tests were used to obtain the data. Data were descriptively examined. The analysis' findings demonstrate that school administrators have not offered advice on creating thematic models, therefore they are supportive of development initiatives

Fitting the Square Peg in a Round Hole: Teaching Experiencesof Out-Of-Field Physical Education Teachers in the Senior High School

This study aimed to explore the teaching experiences of out-of-field Physical Education teachers in in the Senior High School. With this, this study aims to determine the preparations undertaken by the participants before teaching Physical Education in the Senior High School ; the challenges and coping strategies they encountered while teaching subjects that are not their field of specialization ; and the learning experiences in teaching Physical Education.The participants were 8 non-Physical Education major teachers teaching Physical Education in the Senior High School in Tagudin District. The data were gathered using face–to–face interview, phone calls, and chat messages. The study found that the preparations made by the participants before teaching Physical Education were: reviewed the curriculum guide in Health Optimizing Physical Education; attendance to seminar in P.E.; and technical preparations in teaching. The challenges encountered by the participants were limited support for Physical Education and lack of pedagogical skills in teaching Physical Education. While, their coping mechanisms were: expanding professional network and work ethics attribute, and making instruction stimulating for learners. In addition, the insights of participants from teaching were: importance of a teacher placement in Physical Education; becoming flexible as a responsibility; and expanding one’s limits in teaching Physical Education. Lastly, the Thematic Model on Teaching Experiences of Out-of-Field Physical Education Teachers can serve as basis for school administrators in crafting action or development plan to address the problems posed by out-of-field teaching.

Pembelajaran Tematik Holistic Integral di Madrasah Ibtidaiyah

Abstract : Integrative thematic learning is a learning approach that integrates various basic competencies from various subjects into various themes. Integrative thematic learning as an effort to integrate the subject or sub-topic between fields of study. This form of integrative learning makes students active, because the teacher only provides a stimulus in the learning process and must be responded to by students. The process of this thematic model is the task of the teacher to provide learning materials in accordance with the direct experiences experienced by students in their lives. So that it makes a process as the core activity of the implementation of learning and the formation of competencies. The method used in this research is qualitative with descriptive research type. In collecting data using interview techniques, observation and documentation. While the data analysis process using Miles and Huberman. The result of this research is holistic integral thematic learning for grade 2 students at MI Unggulan Nuris. These are Thematic subjects that are integrated with religious values. This activity is better known as Project Based Learning. In the implementation of this integral holistic thematic learning, several obstacles were found, namely in its implementation there were no steps or guidebooks in fully integrating the themes carried out by the teacher which had not been well conceptualized. Keywords: Thematic Learning, Holistic Integral

Integration Between Religion and Science in Islamic Studies in Integrated Islamic Junior High School

This study aims to analyze how the integration of Islam and science in Islamic Religious Education subjects at the Integrated Islamic Junior High School in Batam City so far and to find out a model of the integration of religion and science in Islamic Religious Education subjects that are relevant to the context of the Integrated Islamic Junior High School in Batam City. To answer the research questions, the research approach used is a qualitative approach. Research data were collected using observation, interviews, and documentation. The collected data is then analyzed using a qualitative approach. The results of the analysis show that first, there has been no integration of religion and science in Islamic Religious Education subjects at the Integrated Islamic Junior High School in Batam City so far. Second, based on field data and analysis of the relevant literature, the researcher found a model of the integration of religion and science in Islamic Religious Education subjects that was relevant to the context of the Integrated Islamic Junior High School in Batam City. The model in question is a Two-Way Thematic model. With the design of this integration model based on problems and needs in the field as well as relevant theories, this model is considered capable of being a solution for the unimplemented integration of religion and science in Islamic Religious Education subjects at the Integrated Islamic High School in Batam City.