Similar Topics Research Articles

Sound-to-Imagination: An Exploratory Study on Cross-Modal Translation Using Diverse Audiovisual Data

The motivation of our research is to explore the possibilities of automatic sound-to-image (S2I) translation for enabling a human receiver to visually infer occurrences of sound-related events. We expect the computer to ‘imagine’ scenes from captured sounds, generating original images that depict the sound-emitting sources. Previous studies on similar topics opted for simplified approaches using data with low content diversity and/or supervision/self-supervision for training. In contrast, our approach involves performing S2I translation using thousands of distinct and unknown scenes, using sound class annotations solely for data preparation, just enough to ensure aural–visual semantic coherence. To model the translator, we employ an audio encoder and a conditional generative adversarial network (GAN) with a deep densely connected generator. Furthermore, we present a solution using informativity classifiers for quantitatively evaluating the generated images. This allows us to analyze the influence of network-bottleneck variation on the translation process, highlighting a potential trade-off between informativity and pixel space convergence. Despite the complexity of the specified S2I translation task, we were able to generalize the model enough to obtain more than 14%, on average, of interpretable and semantically coherent images translated from unknown sounds.

Peran Bimbingan dan Dukungan Keluarga terhadap Optimisme dalam Memperoleh Pekerjaan pada Fresh Graduate

Fresh graduates who have just finished their education in college will be required to immediately get a job. However, the COVID-19 pandemic has reduced the chances of getting a job. In dealing with this situation, social support from the family is needed to increase optimism. This study focuses on knowing the effect of each form of family social support on optimism in getting a job during the COVID-19 pandemic for fresh graduates of Nurtanio University. The method used is a quantitative method. Sampling using total sampling technique, with research subjects as many as 61 people. Collecting data through a questionnaire based on Sarafino's social support theory (2011) with a validity value of 0.463 - 0.849 and a reliability of 0.813 and Seligman's (2008) theory of optimism with a validity value of 0.585 - 0.887 and a reliability of 0.901. The results showed that the p-value of the four forms of social support was 0.000, meaning that there was a significant influence between the four forms of family social support on optimism, with details, namely: 1) Emotional support 28.9% (adj. R2 = 0.289). 2) Instrumental Support 27.7% (Adj. R2= 0.277). 3) Informational Support 36.8% (adj. R2= 0.368). 4) Friendship Support 31.2% (adj. R2= 0.312). Suggestions from this study are for families or parents to be able to balance the provision between the four forms of social support that exist, especially in the form of instrumental support so that the problems faced can be directly resolved and suggestions for further research that have an interest in similar topics in order to expand the reach of the population used.

Are We Talking about Green Skills or Sustainability Competences? A Scoping Review Using Scientometric Analysis of Two Apparently Similar Topics in the Field of Sustainability

The labor market is facing accelerating changes due to ecological challenges and the related increasing efforts towards sustainable development. Preparing learners for the world of work now requires an understanding of what skills workers will need to adequately address these changes. To deal with this issue, the research community has started to define “sustainability competences” and “green skills” to support educationalists and decision-makers to better manage the impact of sustainability on future jobs. However, in the current literature, the difference between “sustainability competences” and “green skills” is not clear. The aim of this article is to highlight the differences between the two concepts in order to support the dialogue between the various disciplines that address these topics. This paper is a scoping review that provides an outline of the scientometric analyses of publications in the field of sustainability, from the earliest in 1998 up to July 2023. Although the terms are interrelated, using the R package for analysis shows that “green skills” tends to refer more to specific environmental technical skills, while “sustainability competences” are primarily defined as key competences to promote the different dimensions of sustainability, i.e., competences useful for holistic human development

A Systematic Literature Review on Technology-Based Learning Media in ECE to Face Society 5.0 Era

Education is a bridge between society's mastery of technology and the demands of life that are increasingly familiar with the technology. Consequently, it is essential to comprehend the readiness of the education sector, particularly the employed learning media. This study investigates the readiness of technology-based learning media in the field of early childhood education for the era of society 5.0. This study is included in systematic literature review which aims to examine articles with similar topics for review and analysis. Document identification is done by reviewing the title, abstract, and keyword of the article. Temporary, the content analysis study examines the forms and methods, components, and the advantages of media consumption. The results of study resulted in two key findings, namely a summary of the characteristics of the types of technology-based learning media that must be owned so that they are relevant to be applied in the era of society 5.0. Types of learning media that have been successfully synthesized include games, digital storytelling, LMS, augmented reality, and interactive multimedia. While the characteristics that learning media must have to be relevant to Society 5.0 include adaptive, innovative, personalized, flexible, and integrated with various innovative devices such as IoT, AI, and big data. Practical recommendations that can be used are efforts to continue upgrading skills, especially those related to technology and prioritizing elements of children's fun, attractiveness, and increasing opportunities for children to interact with technology in learning activities.

Shaping the Workforce of Tomorrow : A Comprehensive Review of Competence-Based Learning for Employability Enhancement

This research aims to provide a comprehensive overview of competence-based learning in improving future employability skills and explain the basic concepts, principles, and the relevance of this approach in addressing rapid changes in the workplace. The research method used is a literature review with qualitative based on searching and analyzing relevant scientific articles, books, and publications related to competence-based learning and employability skills. The search was conducted through electronic academic databases such as Emerald, Scopus, Elsevier, Web of Science, ScienceDirect, Sinta, and ResearchGate using keywords "competence," "competence-based learning," and "employability." Data analysis used interactive model analysis by collecting articles with similar topics, then reducing and drawing conclusions. The results of this study indicate that emphasizing the importance of competence-based learning in shaping a future workforce that is ready to face global challenges. Policy recommendations and practical advice are directed towards education implementers to integrate this approach into the education and training system. By adopting competence-based learning, it can prepare a resilient and skilled workforce capable of quickly adapting to changes in the job market.

Keyword Extraction-based Library Intelligence Services: Challenges, Adaptations and Reinvention

Abstract This paper proposes a domain knowledge base construction platform for thematic intelligence services of library intelligence institutions. The platform proposes a keyword extraction algorithm applicable to the literature resources of library intelligence services based on a statistical model and N-Gram model combined with feature word information. The automatic summary algorithm based on statistics combines the information of sentence content and location to comprehensively evaluate the weights of candidate summary sentences and achieve automatic summary extraction. Based on the HDP topic model, a literature recommendation model oriented to the resource retrieval context is proposed, which can convert the literature feature similarity calculation to the topic similarity calculation with implied literature feature semantics from the perspective of semantic analysis and improve the accuracy of recommended literature. The technical feasibility of this system platform is verified through relevant data experiments. Regarding the accuracy of the literature recommendation, the platform of this paper and the traditional method are 86.36% and 75.16%, respectively, and the recall rate is 67.29% and 57.25%, respectively. The platform scored 3.85 on the comprehensive evaluation of library intelligence service, close to the excellent level. Therefore, the platform can realize various functions, from resource collection and organization to resource processing and utilization, with certain practical significance.

ChatGPT's Capabilities for Use in Anatomy Education and Anatomy Research

ChatGPT's Capabilities for Use in Anatomy Education and Anatomy Research

Utilizing Big Data Analytics and Business Intelligence for Improved Decision-Making at Leading Fortune Company

The present study evaluates Walmart’s existing big data analytics with business intelligence techniques, accentuating their strengths and weaknesses, and suggests improvements for implementation and maintenance through the literature review of the scholarly journals addressing similar topics. Big data analytics is receiving loads of attention globally in the business environment within every sector of the economy. Incorporating the job plan as an additional input component in their models would be beneficial for Walmart to improve the precision and appropriateness of their data analysis and decision-making procedures. Walmart is a company that heavily invests in utilizing big data to improve its operations; this includes optimizing in-store experiences and predicting product trends. Scholarly articles emphasize the importance of advanced data analytics tools like MapReduce and Apache Spark for effective big data strategies. Social media content influences engagement and sentiment. Social network data aids sales forecasting but presents challenges. Big data analytics with business intelligence enhances performance and decision-making. Walmart's success in big data analytics relies on a data-driven culture but faces security challenges. Many Fortune 1000 companies adopt innovative solutions to improve performance and customer experiences but require significant resources. Embracing big data analytics with business intelligence remains a compelling investment for sustaining a competitive edge. Walmart's success in big data analytics is due to a data-driven culture and advanced infrastructure, including the Data Café.

ART AND RIGOUR: CREATING METHODOLOGIES FOR ARTISTIC RESEARCH IN MUSIC

This paper focuses on the construction of a methodology for artistic researchers, in particular practising musicians. Artistic research is a steadily growing field, gaining increasing relevance in academic discourse and flourishing in universities and music academies. Due to its relatively recent history there is still a lack of standardized widespread research methods, and the advice to be creative and borrow from other disciplines, though reasonable, can be confusing for young researchers. The adaptation process can be problematic, with the need to mediate between the rigour of academic research and the openness and creativity of the artistic side. How can methods from different disciplines be adapted to the needs of artistic research, without hindering creative practice? In this paper I will present, in meta-research terms, the personal adaptation of three qualitative methods: autobiographical design, borrowed from human computer interaction; thematic analysis, borrowed from psychology; and autoethnography, borrowed from social sciences. These were used to design an accountable research process to investigate differences and similarities in the musical affordances of the 13-keyed period clarinet and the modern clarinet. The three methods intertwine to form a complete methodology that could be applied by other researchers investigating similar topics. Adapting methods proved to be a fruitful process, bearing in mind that the goal is not objectivity, unreachable in the arts, but accountability and organization.

Unveiling deception: Characterizing false amber necklace messages on Facebook.

Messages promoting the benefits of amber necklaces for children are common on social media, despite their health risks. This study characterized Facebook posts with false content about the efficacy of amber necklaces in teething. A sample of 500 English-language Facebook posts was analyzed by two investigators to determine the motivations, author's profile, and sentiments of posts. Latent Dirichlet Allocation topic modeling was used to identify salient terms and topics. An intertopic distance map was created to calculate the topic similarity. These data were analyzed using descriptive analysis, the Mann-Whitney U test, Cramer's V test, and multiple logistic regression models, regarding the time since initial posting and interaction metrics. Most posts were made by business profiles and expressed positive sentiments, with social, psychological, and financial motivations. The posts were categorized into the topics "giveaway," "healing features," and "sales." Overperforming scores and total interaction increased with time since the initial posting. Posts with links had higher overperforming scores. The findings suggest that Facebook posts about the efficacy of amber necklaces in teething are motivated by financial interests, using psychological and social mechanisms to achieve greater interaction with their target audience.

Agenda-setting and journalistic translation: The New York Times in English, Spanish and Chinese

AbstractDrawing on the concepts of agenda-setting and framing, this article aims to examine the role played by translation in the selection of articles of the New York Times for the Spanish and Chinese versions. It analyses whether the three versions focus on similar topics and therefore follow a similar agenda, identifies the topics that receive more salience via translation, and how these are complemented with texts specifically written for the translated/foreign language versions, as well as the framing mechanisms used by the writers and/or translators to create, suppress or accentuate ideological positionings. For that purpose, a constructed week methodology was used in order to collect a total of seventy articles per language. The analysis, based on Baker's adaptation of narrative theory and Kress and van Leeuwen's study of non-verbal signs, shows that the three versions of the New York Times vary in terms of format and content. Thus, while the English and Chinese versions focus on political and economic issues, the Spanish version undergoes a process of tabloidization.

Do nurses' personality traits affect the level of compassion fatigue?

To determine whether nurses' personality traits impact their levels of compassion fatigue. Compassion fatigue has become one of nursing literature's most discussed and investigated topics. Although some nurses working in the same environment and under similar conditions are more resistant to compassion fatigue, some are at risk of it. This descriptive study was conducted with 451 nurses selected using a simple random sampling method in Turkey. Data were collected using web-based online survey forms between February and April 2022. A questionnaire form regarding personal traits and professional characteristics, the Compassion Fatigue-Short Scale, and Basic Personality Traits Inventory were used to collect the data. The data were analyzed with descriptive statistics, t-test, Pearson correlation, and multiple linear regression analysis. The nurses' compassion fatigue was moderate, and personality traits were found to be agreeableness, conscientiousness, and extraversion, respectively. There was a negative correlation between compassion fatigue and personality traits of extraversion, conscientiousness, agreeableness, and openness to experience, yet a positive correlation with neuroticism and negative valence. According to the regression analysis, nurses' personality traits were effective on compassion fatigue by 21.9%. The personality trait of extraversion had a negative impact on compassion fatigue, and neuroticism had a positive impact. This study identified a correlation between nurses' personality traits and compassion fatigue, suggesting that certain personality traits can be predictive factors of compassion fatigue. The limited number of studies discussing personality traits and compassion fatigue together increases the importance of the current study, which may shed light on future studies to be conducted on similar topics. This study has important implications for nurse managers. Nurse managers can predict whether they may experience compassion fatigue based on their personality traits.

The Impact of the European Union’s Palm Oil Resolution Policy on the Indonesian Economy Sector

Indonesia as the world's largest producer and consumer of palm oil is experiencing considerable challenges due to the enactment of the The European Union (EU) Parliament Resolution on the use of palm oil and on overcoming the issue of deforestation. The Union issued a RED policy aiming at directing the European community to use energy-efficient and emission-free fuels. The regulation comprises a rejection of palm oil and its derivative products. The ban on importing such products imposed by the European Union has caused a decrease in Indonesia's GDP by 1155.28 million Euros. In addition, this impacted the employment sector, particularly the oil palm farmers who experience a decrease in income. Despite the issuance of the European Union policy that prohibit or restrict palm oil import, the EU has dependence on Indonesia’s palm oil since they can not produce the oils on a large scale in order to meet their needs. This is a qualitative study and the data collection technique is the heritage study methods obtained from journal, scientific journals on similar topics. As for the theoretical analyses, the mercantilism approach with the aim to use economic policies to maximize the state’s wealth as a means of political power is implemented.

Tinjauan Literatur: Perkembangan Teori Akuntansi

Findings and opinions build a theory. Almost all fields or research areas certainly have theory as the basis for their practice. This study aims to describe and explain the development of accounting theory and practice, as well as to draw conclusions from previous studies or research. The method used in this study is systematic literature review (SLR) with a selected sample of 30 articles, both from within the country and abroad, published from 2012-2022. Selected articles with similar research topics, namely the discussion of accounting theory, its development and implementation. Until now, research on accounting theory is still often carried out, both carried out by domestic and foreign parties. Accounting theories are also still often used as a reference in research, especially accounting theory itself, positive accounting theory, agency theory, and normative accounting theory.

Social determinants of citations: An empirical analysis of UK economists

AbstractWe investigate to what extent personal proximity and similarity in professional and political attributes, besides scientific factors, help explaining citations between economists. We do so by using a unique dataset of all academic economists based in the United Kingdom, created specifically for this study by merging RePEc data on works published in the past four decades with information collected by manually processing their curriculum vitae (CVs). We investigate directed citations within each pair of authors active in a same year, finding that social factors play an important role as predictors of citations. An author is systematically more likely to cite another economist not only if they work on similar topics, but most relevantly if they have been co‐authors, faculty colleagues, alumni of the same Alma Mater, and even if they express similar political views. The implication is that citations do not signal the intrinsic quality of research outputs only, but they also capture social and professional connections. When citation counts are used to reward academics, economists have an incentive to join many and large professional communities as doing so would increase their predicted citations.

Mode of Mechanical Ventilation in a Case of Venolymphatic Malformation: Spontaneous-Saves, Positive-Precludes.

Mediastinal venolymphatic malformations (VLM) are rare tumours, with very few reported cases in the literature. Arising often from the anterior mediastinum, VLM manifests symptoms based on invaded surrounding structures. Masses from the anterior and superior mediastinum pose an anaesthetic challenge for airway and hemodynamic management. A 7-month-old male child presented with a progressively growing mass over the left anterior chest wall for one month, about 4x4 cm, with diffuse margins and now expanded to involve the root of the neck and into the axilla. The patient was free from any apparent systemic illness. The breathing difficulty worsened in the past week with noisy respiration associated with feeding difficulty and hence sought medical admission to the paediatrics emergency unit. In conclusion, such huge mediastinal masses are managed better under spontaneous ventilation with an adequate surgical depth of anaesthesia to maintain appropriate respiratory compliance and necessitate lower peak inspiratory pressure. Given rare cases reported in the literature, similar topics would help choose the modus of ventilation and their safe management.

A common neural code for meaning in discourse production and comprehension

How does the brain code the meanings conveyed by language? Neuroimaging studies have investigated this by linking neural activity patterns during discourse comprehension to semantic models of language content. Here, we applied this approach to the production of discourse for the first time. Participants underwent fMRI while producing and listening to discourse on a range of topics. We used a distributional semantic model to quantify the similarity between different speech passages and identified where similarity in neural activity was predicted by semantic similarity. When people produced discourse, speech on similar topics elicited similar activation patterns in a widely distributed and bilateral brain network. This network was overlapping with, but more extensive than, the regions that showed similarity effects during comprehension. Critically, cross-task neural similarities between comprehension and production were also predicted by similarities in semantic content. This result suggests that discourse semantics engages a common neural code that is shared between comprehension and production. Effects of semantic similarity were bilateral in all three RSA analyses, even while univariate activation contrasts in the same data indicated left-lateralised BOLD responses. This indicates that right-hemisphere regions encode semantic properties even when they are not activated above baseline. We suggest that right-hemisphere regions play a supporting role in processing the meaning of discourse during both comprehension and production.

KH. Faqih Maskumambang's Thought Regarding the Prohibition of the Use of Kentongan as a Marker of Prayer Time: A Prophetic Hadith Perspective

Research on the analysis of KH. Faqih Maskumambang's thoughts on the prohibition of using the Kentongan as a prayer time marker from the perspective of the prophet's hadith needs to be conducted. The aim is to describe the understanding of hadith in the classical and contemporary eras. Kentongan is a tool commonly used by some people as a sign of prayer. The use of this tool is a part of the characteristics of Islam in the archipelago. Along with the development of knowledge, traditions have drawn the attention of many circles. The main reason for criticism and refutation is because the use of these tools is considered an act of bid'ah and resembles non-Muslim worship. Even the founding figure of the NU and KH. Hasyim Asy'ari was among those who opposed traditions. In this study, the author used a descriptive-qualitative method with a contextual approach. The primary source used the book Sharh Hazzu al-Ru'us fi Radd al-Jasus 'an Tahrim al-Naqus by KH. Faqih Maskumambang. The result of this study is that, according to KH. Faqih Maskumambang, the hadith used as the basis for the prohibition of the use of the horn is not valid. In fact, another Hadith refutes Hadith, which is more valid. In explaining this, Kyai Faqih took explanations from the Qur'an and Hadith, which have similar topics of discussion. He also takes the opinions of scholars and the methods of fiqh and logic as reinforcements.

Predicting the Evolution of Literature on Industrial Symbiosis Using Topic Modeling

The aim of this literature review is to suggest future research on industrial symbiosis. This study is based on the analysis of the latent topics related with the industrial symbiosis found in a collection of 611 scientific articles retrieved from Web of Science on 2022/3/11. Our research process applies the topic modelling technique, which allows the grouping of documents that discuss similar topics, even if these topics are not explicitly mentioned in the documents themselves The initial classification of the existing body of works made it possible to identify current trends and developments in the field and the most promising lines of future research. Specifically, we identified 12 themes, which we characterised with a short sentence rather than a single label. Among the 12 themes, we have highlighted those that are attracting increasing attention from scholars, while others are declining or remaining stable over time.

Applying particle swarm optimization-based dynamic adaptive hyperlink evaluation to focused crawler for meteorological disasters

Traditional semantic-based focused crawlers calculate the topical priority of hyperlink by linearly integrating topical similarity evaluation metrics and empirical weights. However, the manually pre-determined weights may introduce bias in evaluating hyperlinks, resulting in topic deviation during crawling. To address this problem, we propose a dynamic adaptive procedure based on particle swarm optimization which dynamically updates weights in every crawling step and put forward a new focused crawler, called FCPSO. In FCPSO, we utilize domain ontology for topic representation and a comprehensive priority evaluation method to evaluate the topical priority of hyperlink. Furthermore, we construct a multi-objective optimization model for hyperlink selection, in which the strategy of the non-dominant sorting with the nearest farthest candidate solution is proposed to select Pareto-optimal hyperlinks and guide the crawling direction. Extensive experiments demonstrate the effectiveness of FCPSO over other strategies that it can obtain more topic-relevant webpages with less time consumption.