bluuebunny/crossref_metadata_2025_split huggingface dataset:
Music-Induced Emotion Recognition Based on Feature Reduction Using PCA From EEG Signals
Authors: Khabiri Hamid , Naseh Talebi Mohammad , Kamran Mehdi Fakhimi , Akbari Shadi , Zarrin Farzaneh , Mohandesi Fatemeh 
Published: December 2023

Purpose: Listening to music has a great impact on people's emotions and would change brain activity. In other words, music-induced emotions are trackable in electrical brain activities. Therefore, Electroencephalography can be a suitable tool to detect these induced emotions. The present study attempted to use electroencephalography in to recognize four types of emotions (happy, relaxing, stressful, and sad) induced in response to listening to music excerpts, using three classifiers.
Materials and Methods: In this empirical study, electroencephalography signals were collected from 20 participants, as they were listening to pieces of selected music. The collected data were then pre-processed, and 28 linear and nonlinear features for recognizing the aforementioned emotions were extracted. Feature-space components were then reduced through a principal components analysis. Finally, the first ten components of feature-space were used as input for three classifiers based on Neural Network (NN), K-Nearest Neighbors (KNN), and Support Vector Machine (SVM) algorithms to identify the induced emotions.
Results: The outputs showed that the suggested method was well capable of emotion recognition. Evaluating the music excerpts, on the self-assessment manikin scale, demonstrated that the labeling of the music tracks was accurate. The highest accuracy found among NN, KNN, and SVM algorithms were %84, %84, and %89 for happy emotions, respectively.
Conclusion: The findings of this study provide useful insights into emotion classification and brain behavior related to induced emotion extraction. Happiness was the most recognizable emotion and the support vector machine had the highest performance among the classifiers. In the end, the outcomes of the proposed method demonstrate that this system is better than the previous research in EEG-based emotion recognition.
Analytical Modeling of a Slit Collimator and Optimization for Small Animal Imaging Applications
Authors: Malekzadeh Etesam 
Published: December 2023

Purpose: The collimator design and optimization are essential in small animal molecular imaging for preclinical studies. In this study, a mathematical model was derived and used to optimize the slit collimator for small animal imaging applications.
Materials and Methods: The geometric efficiency was formulated as a source-to-detector distance for a certain amount of the collimator resolution ( ). The first-order derivative of the derived formula gives the optimized parameters. The detector performance was modeled in terms of intrinsic resolution . Furthermore, the edge penetration effect was considered using the validated model.
Results: Optimum source-to-detector distance was found as . For an ideal detector, optimal , geometric efficiency and slit aperture width were found as , and , respectively. Where and are the source-to-collimator distance and detector length, respectively. For the fixed resolution of 1.0 mm, the sensitivity for different source-to-collimator distances of 50.0, 100.0, and 150.0 mm was calculated as , , and , respectively. In addition, for a sub-millimeter resolution of 0.5 mm at 15.0, 30.0, and 50.0 mm, the geometric efficiency was calculated as, , , and . For a typical source-to-collimator distance (15.0 mm), the optimal geometric efficiencies are , , , , and for the resolutions of 0.25, 0.50, 1.0, 1.5, and 2.0 mm, respectively.
Conclusion: Based on the analytic model predictions, the performance characteristics of the slit collimator in terms of geometric efficiency and resolution were extracted. The importance of the proposed model lies both in its speed and ease of application.
The Moderating Role of Ethical Leadership In the Relationship Between Person-Organization Fit and Organizational Commitment: A Case Study In Accomodation Establishments
Authors: SİDAL Öznur , AKBABA Atilla 
Published: December 2023

The main purpose of this study within this context is to determine the relationship between the organizational commitment levels of employees in accommodation establishments and person-organization fit in Izmir. And to determine whether ethical leaders have a moderating role and present the degree of influence in aforementioned relationship. The sample of the research consists of employees working in 4 and 5-star hotels in İzmir city center, Turkey. In the study, 447 questionnaires were obtained and the data were analyzed with quantitative research methods.
It was found as a result of the SEM analysis that ethical leadership has an effect on person-organization fit and organizational commitment, and also person-organization fit has an effect on organizational commitment. Although there was a statistically significant effect between the variables of the study, it was determined that ethical leadership did not have a moderating role in the relationship between organizational commitment and person-organization fit. The outcome of the research was announced about the findings obtained, and suggestions for researchers and practitioners in the relevant literature are included within line with the outcomes.
A Corte Interamericana de Direitos Humanos e a tutela inédita dos Direitos Sociais: análise do caso comunidades indígenas Miembros de la Asociacion Lhaka Honhat vs. Argentina à luz dos direitos da personalidade
Authors: Souza Bruna Caroline Lima de , Siqueira Dirceu Pereira 
Published: December 2023

O caso comunidades indígenas miembros de la asociacion Lhaka Honhat vs. Argentina foi um caso julgado pela Corte Interamericana de Direitos Humanos, em 6 de fevereiro de 2020, que tinha como reivindicação principal o reconhecimento da propriedade ancestral dessas comunidades sobre os lotes fiscais 14 e 55 (atualmente com registros cadastrais 175 e 5557 do Departamento da Rivadavia), situados na Província de Salta, na Argentina, cuja área possui aproximadamente 643.000 hectares e faz fronteira com o Paraguai e Bolívia. O caso não tinha como violação apenas o reconhecimento do direito de propriedade ancestral da terra pelas comunidades, mas também a lesão a diversos direitos decorrentes da ocupação e atividade ilegal que ocorria nessas terras, como a violação ao direito ao meio ambiente saudável, ao direito à identidade cultural, ao direito à alimentação e ao direito à água, isto é, direitos sociais, os quais foram analisados de forma inédita pela Corte em caso contencioso. Assim, o presente artigo visa fazer uma análise do referido caso, à luz dos direitos da personalidade, e responder ao questionamento: a sentença proferida pela Corte Interamericana de Direitos Humanos e as teses e responsabilizações nela firmadas vigoraram como um instrumento de efetividade dos direitos da personalidade desses povos, permitindo com o que as comunidades indígenas vítima dos casos tenha a possibilidade de um livre e pleno desenvolvimento da personalidade dos seus membros a partir do que ficou determinado na aludida sentença? Para tanto, utilizar-se-á o método hipotético-dedutivo e a metodologia pautada nas técnicas de análise jurisprudencial e revisão bibliográfica.
PENGGUNAAN CULTURE LITERACY DIGITAL WETLAND (CLDW) LKPD KONSEP PERUBAHAN LINGKUNGAN TERHADAP PENGUASAAN KONSEP DAN KETERAMPILAN GENERIK SAINS PESERTA DIDIK KELAS X MIPA SMA NEGERI 8 BANJARMASIN
Authors: Wulandari Evi , Putra Aminuddin Prahatama , Rezeki Amalia 
Published: December 2023

Penelitian ini bertujuan untuk (1) mendeskripsikan penggunaan Culture Literacy Digital Wetland (CLDW) LKPD berpengaruh secara signifikan terhadap penguasaan konsep peserta didik kelas X MIPA 1 SMAN 8 Banjarmasin pada meteri perubahan lingkungan (2) Mendeskripsikan Penggunaan Culture Literacy Digital Wetland (CLDW) LKPD berpengaruh secara signifikan terhadap keterampilan generik sains konsep peserta didik kelas X MIPA 1 SMAN 8 Banjarmasin pada meteri perubahan lingkungan. Penelitian ini menggunakan pendekatan quasi eksperimen dengan design The Non-equivalent Control Group Design untuk penguasaan konsep dan keterampilan generik sains. Sampel penelitian ini adalah peserta didik X MIPA 1 diberi perlakuan sebagai kelas eksperimen dan X MIPA 3 sebagai kelas kontrol. Teknik analisis data untuk hasil penguasaan konsep menggunakan uji T non-paramterik yaitu Uji Mann-Whitney dan untuk hasil keterampilan generik sains menggunakan uji Independent Sampel T-Test .Hasil penelitian ini menunjukan (1) tidak terdapat pengaruh Penggunaan Culture Literacy Digital Wetland (CLDW) LKPD Konsep Perubahan Lingkungan Terhadap Penguasaan Konsep dan Kereampilan Generik Sains Peserta Didik dengan Asymp-Sig(2-Tailed) 0,0790,05. (2) terdapat pengaruh penggunaan Culture Literacy Digital Wetland (CLDW) LKPD Konsep Perubahan Lingkungan Terhadap Penguasaan Konsep dan Keterampilan Generik Sains Peserta didik dengan t-hitung 1,99 t-tabel-5,81.Dari hasil penelitian penulis merekomendasikan diperlukannya perbaikan dan pendalaman pemahaman terhadap istilah-istilah asing yang digunakan dalam penelitian dan diperlukannya perbaikan dan diperlukan perbaikan dan penyempurnaan alat evaluasi agar terlihat lebih efektif pengaruhnya terhadap hasil penelitian.
Case Study of Herpesvirome: Individual Two Waves of the Immunoreconstitution and Acquisition of B Cell Memory May Be Observed in Various Specific IgG Kinetics after Hematopoietic Stem Cell Transplantation
Authors: Zdziarski Przemyslaw , Gamian Andrzej 
Published: December 2023

Background: Humoral memory and specific antibodies levels depend on kind of the antigen and individual immunofactors., The presence of IgM antibodies or fourfold rise in specific IgG level, are generally accepted as diagnostic in serology of acute viral infection. This basic model is not adequate for herpesvirome especially after hematopoietic stem cell transplantation (HSCT) due to continuous, usually multifocal antigenic stimulation, various donor serostatus, immunosuppresion and individual immunoreconstitution. Methods: A case-control study was conducted for identifying cases of Human herpesviruses (HHV) active infection (from 300 diagnosed immunocompromised patients) and evaluating historically associated humoral factors to look at outcomes. We enrolled only patients’ data with meticulous differential diagnosis to exclude other causes, thereby observe pathways and temporal relationships, not statistical ones, usually collected in cohorts. Despite the small number such data collection and analysis avoids a number of biases and indicates cause and effect.Results. In the observational study retrospective analysis of data from 300 patients with clinical diagnosis of herpes simplex (HSV) and varicella zoster virus(VZV) reactivation showed a number of biases. In two well differentiated cases (confirmed by Tzanck test) with various disease and conditioning evolution of immunoparameters showed interesting pathway. Exponential decrease of specific IgG after HSCT precedes virus replication with cytopathic effect (shingles, VZV-encephalitis and HSV-induced mucositis). Minima (smallest IgG levels) before herpes virus reactivation were 234,23 mIU/ml and 94 RU/ml for VZV and HSV, respectively. This coincides with low CD4 titer, but without other infectious process. Other immune response parameters such as Treg, cytotoxic T cells, complement and total IgG level were quite the same as before the transplant procedure. Interestingly, the second wave of immunoreconstitution with anamnestic antibody response was not always observed. It coincided with prolonged herpes viral infection. Patient with lymphocyte depletion in conditioning showed earlier second wave of immunoreconstitution (6th vs 14th month) Conclusions: Typical for infancy kinetics of IgG level is unique after HSCT (the decline phase is first). Host-microbiome factors (i.e. HHV1-3 -serostatus) should be taken into account to predict risk of non-relapse mortality and survival after HSCT. The levels of specific antibodies help to predict the prognosis and improve the management. The lack of differentiation, assessor and confusing bias are the main obstacles in statistical HHV1-3 research. Such time-lapse case studies may be first to build evidence of a pathway and association between immunoparameters and HHV disease.
Kinetic Characteristics of Kerogens in the Kuonamka Complex, Lower and Middle Cambrian of the Siberian Platform
Authors: Burshtein L.M. , Deshin A.A. , Parfenova T.M. , Yaroslavtseva E.S. , Kozyrev A.N. , Safronov P.I. 
Published: December 2023

Abstract
—The kinetic characteristics of kerogen (activation energy and frequency factor distributions of the initial generative potential) determine the dynamics of naphthide generation during catagenesis. In the previous studies on quantitative modeling of naphthidogenesis in the Kuonamka source rocks, the kinetic characteristics were taken by analogy with the known kerogens from other complexes and provinces. It seems relevant to determine the effective kinetic characteristics of the kerogen from the Kuonamka source rocks from experimental data. To estimate the kinetic parameters, specialized multi-rate pyrolysis studies were performed. The variations in pyrolysis data was reported to be presumably associated with the conditions of kerogen and source rock formation during accumulation and diagenesis of organic matter. The effect of carbonate and organic carbon contents on the temperature range of the second pyrolysis peak is recorded. Reconstruction of the average (effective) kinetic characteristics of kerogens from the Kuonamka source rock, was conducted using data on kerogens from Serkinsky-5 and 10 and Tit-Ebya-6 wells, which are less degraded than kerogens from Ust’-Maiskaya-366 well and probably attained the early mesocatagenesis grades. The current average effective kinetic characteristics of kerogen were estimated and corrected for the possible partial degradation of reference samples. The obtained effective kinetic models of kerogen are compared with models of kerogens of various genetic types known from the literature. The estimated effective kinetic characteristics of kerogens or Menil-1 and Type B kerogens with similar characteristics are to be taken, as a first approximation, in regional historical-genetic (basin) modeling of naphthide generation in the Kuonamka source rock.
Towards Legal Regulations of Generative AI in the Creative Industry
Authors: Shumakova N. I. , Lloyd J. J. , Titova E. V. 
Published: December 2023

Objective: this article aims to answer the following questions: 1. Can generative artificial intelligence be a subject of copyright law? 2. What risks the unregulated use of generative artificial intelligence systems can cause? 3. What legal gaps should be filled in to minimize such risks?Methods: comparative legal analysis, sociological method, concrete sociological method, quantitative data analysis, qualitative data analysis, statistical analysis, case study, induction, deduction.Results: the authors identified several risks of the unregulated usage of generative artificial intelligence in the creative industry, among which are: violation of copyright and labor law, violation of consumers rights and the rise of public distrust in government. They suggest that a prompt development of new legal norms can minimize these risks. In conclusion, the article constants that states have already begun to realize that the negative impact of generative artificial intelligence on the creative industry must not be ignored, hence the development of similar legal regulations in states with completely different regimes.Scientific novelty: the article provides a comprehensive study of the impact of generative artificial intelligence on the creative industry from two perspectives: the perspective of law and the perspective of the industry. The empirical basis of it consists of two international surveys and an expert opinion of a representative of the industry. This approach allowed the authors to improve the objectivity of their research and to obtain results that can be used for finding a practical solution for the identified risks. The problem of the ongoing development and popularization of generative artificial intelligence systems goes beyond the question “who is the author?” therefore, it needs to be solved by introduction of other than the already existing mechanisms and regulations - this point of view is supported not only by the results of the surveys but also by the analysis of current lawsuits against developers of generative artificial intelligence systems.Practical significance: the obtained results can be used to fasten the development of universal legal rules, regulations, instruments and standards, the current lack of which poses a threat not only to human rights, but also to several sectors within the creative industry and beyond.
Copyrights to the Results of Artificial Intelligence Activity and Means of Their Protection
Authors: Kazantsev D. A. 
Published: December 2023

Objective: to substantiate the mechanisms of legal protection of intellectual property objects created with the use of artificial intelligence.Methods: the use of artificial intelligence to create works that are traditionally considered copyright objects was investigated with a set of general scientific and theoretical-legal methods of scientific cognition, including comparison, analogy and synthesis. In addition, the practice of using artificial intelligence, including neural networks, to create such works was considered in several aspects on the basis of retrospective and multifactor analysis.Results: the paper summarizes the current practice of using artificial intelligence to create works that traditionally belong to intellectual property objects (texts, images, music, software), taking into account the formulated scientific and legal positions. Several qualitatively different variants of the use of artificial intelligence were identified. For each of these variants the mechanism of legal protection was proposed and the areas of their effective application were indicated. Proposals were made to regulate the legal protection of the results of artificial intelligence activity; this was made not in the paradigm of competing doctrines, but by combining several tools, each of them to be applied in a relevant situation.Scientific novelty: the paper presents ontological differentiation of the results of artificial intelligence activity and the corresponding mechanisms of their legal protection. The author propose to consider the results of activity created by artificial intelligence not as a single object of legal regulation, but as a set of externally similar, but ontologically different objects, each requiring a separate approach to legal protection.Practical significance: the ontological differentiation of the results of artificial intelligence activity and their corresponding legal protection mechanisms proposed in this paper is relevant both as a basis for further research and as proposals to supplement civil legislation.
Artificial Intelligence Impact on the Environment: Hidden Ecological Costs and Ethical-Legal Issues
Authors: Zhuk A. 
Published: December 2023

Objective: to identify the hidden ecological costs associated with the elaboration, implementation and development of artificial intelligence technologies, in order to ensure its sustainable and harmonious integration with various economic sectors by identifying optimal moral-ethical and political-legal strategies.Methods: the conducted research is based on an ecological approach to the development and implementation of artificial intelligence, as well as on an interdisciplinary and political-legal analysis of ecological problems and risks of algorithmic bias, errors in artificial intelligence algorithms and decision-making processes that may exacerbate environmental inequalities and injustice towards the environment. In addition, analysis was performed in regard to the consequences of natural ecosystems destruction caused by the development of artificial intelligence technologies due to the computing energy-intensiveness, the growing impact of data centers on energy consumption and problems with their cooling, the electronic waste formation due to the rapid improvement of equipment, etc.Results: the analysis shows a range of environmental, ethical and political-legal issues associated with the training, use and development of artificial intelligence, which consumes a significant amount of energy (mainly from non-renewable sources). This leads to an increase in carbon emissions and creates obstacles to further sustainable ecological development. Improper disposal of artificial intelligence equipment exacerbates the problem of e-waste and pollution of the planet, further damaging the environment. Errors in artificial intelligence algorithms and decision-making processes lead to environmental injustice and inequality. AI technologies may disrupt natural ecosystems, jeopardizing wildlife habitats and migration patterns.Scientific novelty: the environmental consequences of the artificial intelligence use and further development, as well as the resulting environmental violations and costs of sustainable development, were studied. This leads to the scientific search for optimal strategies to minimize environmental damage, in which legal scholars and lawyers will have to determine ethical-legal and political-legal solutions at the national and supranational levels.Practical significance: understanding the environmental impact of AI is crucial for policy makers, lawyers, researchers, and industry experts in developing strategies to minimize environmental harm. The findings emphasize the importance of implementing energy efficient algorithms, switching to renewable energy sources, adopting responsible e-waste management practices, ensuring fairness in AI decision-making and taking into account ethical considerations and rules of its implementation.