bluuebunny/crossref_metadata_2025 huggingface dataset:
Influence of the Gut Microbiota, Metabolism and Environment on Neuropsychiatric Disorders
Authors: Wang Mengxia , Ma Yan , Zeng Bao , Yang Wenhao , Huang Cuihong , Tang Benqin
Published: December 2024

The two-way communication between intestinal microbiota and the central nervous system
(the microbiota-gut-brain axis) is involved in the regulation of brain function, neurodevelopment,
and aging. The microbiota-gut-brain axis dysfunction may be a predisposition factor for
Parkinson’s disease (PD), Alzheimer’s disease (AD), Autism spectrum disorder (ASD), and other
neurological diseases. However, it is not clear whether gut microbiota dysfunction contributes to
neuropsychiatric disorders. Changes in the gut microbiota may modulate or modify the effects of
environmental factors on neuropsychiatric disorders. Factors that impact neuropsychiatric disorders
also influence the gut microbiota, including diet patterns, exercise, stress and functional gastrointestinal
disorders. These factors change microbiome composition and function, along with the
metabolism and immune responses that cause neuropsychiatric disorders. In this review, we summarized
epidemiological and laboratory evidence for the influence of the gut microbiota,
metabolism and environmental factors on neuropsychiatric disorders incidence and outcomes. Furthermore,
the role of gut microbiota in the two-way interaction between the gut and the brain was
also reviewed, including the vagus nerve, microbial metabolism, and immuno-inflammatory responses.
We also considered the therapeutic strategies that target gut microbiota in the treatment
of neuropsychiatric disorders, including prebiotics, probiotics, Fecal microbiota transplant (FMT),
and antibiotics. Based on these data, possible strategies for microbiota-targeted intervention could
improve people’s lives and prevent neuropsychiatric disorders in the future.
Implementation of Halal Label as an Intangible Asset on Food and Beverage Business Sustainability
Authors:   Faculty of Economics and Business, Universitas Brawijaya, Indonesia, Amrullah M. Mukhlis , Irianto Gugus ,   Faculty of Economics and Business, Universitas Brawijaya, Indonesia, Adib Noval ,   Faculty of Economics and Business, Universitas Brawijaya, Indonesia
Published: December 2024

The majority of the Indonesian population adheres to Islam, and of course, halal food is the most sought-after. Halal labels are increasingly considered important in business due to their positive influence on consumer awareness and the demand for halal products. This study aims to understand how UB Coffee's management interprets the Halal Label as an asset and its implications for business sustainability. This research employs a qualitative method with a case study approach involving UB Coffee's management as the population. Key managers were selected as the sample using purposive sampling, and the data were analyzed descriptively. The results indicate that UB Coffee's management views the Halal Label as valuable and a source of pride, supporting UB Coffee's educational function as part of the educational institution UB and interpreting it as a shared value and commitment. However, UB Coffee has not yet recognized the Halal Label as an asset in its accounting system. The Halal Label has the potential to sustain UB Coffee's business due to the increasing trend of a halal lifestyle. The implications of this study highlight the importance of formally recognizing the Halal Label as an asset to strengthen UB Coffee's long-term business strategy.
Cognitive peering infrastructure for the organization teamwork on projects based on agile methodology
Authors: Karamysheva N. S. , Aleksandrov V. S. , Kiryutkin I. A. , Zinkin S. A.
Published: December 2024

Purpose of research. The goal of the work is to develop and justify a cognitive peer-to-peer infrastructure that will improve the conditions for collective work on projects based on agile methodology. Cognitive architecture is defined as a structure that ensures the implementation of anthropomorphic and neuromorphic functions in natural or artificial systems. The proposed approach is based on organizing the interaction of the collective intelligence of members of an agile team and artificial intelligence, represented by trained artificial neural networks. When forming an agile team, it is proposed to take into account the structure of the cognitive sphere in the structure of the mental processes of a human cognitive agent.

Methods. Domain knowledge is determined based on the collective intelligence of the agile team members and the training of artificial neural networks. It is assumed that artificial neural networks are available to all members of an agile team and implement the functions of collective artificial intelligence, provided that their training uses the professionalism and experience of a person in a natural social environment. Mental operations such as analysis, partitioning (modularization), comparison, abstraction, synthesis, generalization, classification, concretization, known from general psychology courses, are interpreted not only as a result of human activity, but also as the functionality of a program. Some elements of the cognitive sphere processes “memory” and “speech” are realized in a similar way.

Results. The system is implemented on the basis of a peer-to-peer computer network that provides communications between all artificial and natural participants in the cognitive process during the design process. A conceptual model of a cognitive collective intelligence cell is proposed, combining elements of the actual collective intelligence of agile agents with the collective artificial intelligence of agents based on neural networks. In an expert assessment of the quality of individual design stages, it was proposed to use tagging based on the emotional-volitional and motivational mental processes of individuals.

Conclusion. Cognitive information processing is based on the idea of modeling human thinking processes in computer systems. In the system under consideration, this includes natural language processing, written speech recognition, associated with understanding information through software imitation of human intelligence. The accepted concept involves the implementation of collective intelligence not only artificially, but also by organizing convenient interaction between participants in an intellectual chat. Artificial intelligence, also collective, is implemented using initially trained and further trained neural networks.
Development of a method for localizing objects in a closed and saturated environment
Authors: Mostakov N. A. , Zakharova A. A.
Published: December 2024

The purpose of the work is to study and develop methods for localizing an ultra-light unmanned aerial vehicle (UAV) in a closed environment saturated with objects, based on semantic and topological data obtained from the environment. The purpose of the work is also to develop software and select a hardware complex for launching and testing the developed solution.

Methods. To achieve this goal, a review and comparison of existing solutions were conducted. Optimization of the neural network architecture for detecting objects. Development of an algorithm for compiling a graph of objects reflecting their relationships. Development of an algorithm for comparing graphs to determine the position of the UAV. Implementation of a solution to improve the accuracy of determining the geometric center of detected objects. Use of keypoint detection methods (SIFT, SURF) to solve the problem of identifying objects of the same class.

Results. The result of the work is a developed localization method based on semantic and topological data obtained from the environment. A software package based on the ROS2 humble platform and implemented on the hardware based on the Rockchip 3588 board was also developed. The experiments were conducted on ready-made datasets (KUM dataset) and using UAVs indoors.

Conclusion. The developed localization system is a promising step towards creating efficient and flexible systems capable of operating in complex conditions. In the future, it is planned to integrate this method with other sensors to improve robustness in dynamic conditions, add visual odometry algorithms to improve the accuracy of UAV localization, and expand the application of the system to UAVs used in other industries (infrastructure inspection, search and rescue).
Measuring-polynomial processing of input data of a computer system
Authors: Loktionov A. P. , Vatutin E. I.
Published: December 2024

Purpose of research. The purpose of this study is to solve the problem of restoring the external load on the rack– and-beam structural system and to assess the impact on the accuracy of solving the problem of the error of noisy deflections – constructive input data of the computing system.

Methods. The main scientific methods used in this study are methods of modeling and identification of boundary conditions, the grid method of regularization of solving inverse incorrect problems. Measurement reduction and approximation methods, methods for evaluating the quality of input data processing, regularization and approximation algorithms using the Lebesgue grid function, and numerical methods are also used.

Results. The main result of this work is two theorems about the external load on a rack-and-beam structural system. The existence and uniqueness of the solution is proved. Also, the results are the formulas of Lagrange multipliers in linear Lagrangian approximation and the optimal plan of coordinates of the nodes of the approximation grid for the equation of deflections of the beam of the fourth and fifth degree with Chebyshev alternance. An assessment of the quality of the approximation of the external load on the rack-and-beam structure by the values of the target parameters was carried out.

Conclusion. This article proposes a method for restoring the external load on a rack-and-beam structure using the results of solving the inverse Cauchy problem for the equation of deflections of a beam with minimizing the influence of the error of noisy input data.
Participant Adherence and Contact Behavior in a Guided Internet Intervention for Depressive Symptoms: Exploratory Study
Authors: Bur Oliver Thomas , Berger Thomas
Published: December 2024

Background

The number of studies on internet-based guided self-help has rapidly increased during the last 2 decades. Guided self-help comprises 2 components: a self-help program that patients work through and usually weekly guidance from therapists who support patients using the self-management program. Little is known about participants' behavior patterns while interacting with therapists and their use of self-help programs in relation to intervention outcomes.

Objective

This exploratory study aimed to investigate whether the number of messages sent to the therapist (ie, contact behavior) is an indicator of the outcome, that is, a reduction in depressive symptoms. Furthermore, we investigated whether adherence was associated with outcome. Most importantly, we investigated whether different combinations of adherence and contact behavior were associated with outcome.

Methods

Drawing on a completer sample (n=113) from a randomized full factorial trial, participants were categorized into 4 groups. The groups were based on median splits of 2 variables, that is, the number of messages sent to therapists (low: groups 1 and 2; high: groups 3 and 4) and adherence (low: groups 1 and 3; high: groups 2 and 4). The 4 groups were compared in terms of change in depressive symptoms (measured with the Patient Health Questionnaire-9) from pre- to posttreatment and pretreatment to follow-up, respectively.

Results

On average, participants sent 4.5 (SD 3.7) messages to their therapist and completed 18.2 (SD 5.2) pages of the program in 6.39 (SD 5.39) hours. Overall, analyses revealed no main effect for participants’ messages (H1=0.18, P=.67) but a significant main effect for adherence on changes in depressive symptoms from pre- to posttreatment (H1=5.10, P=.02). The combined consideration of adherence and messages sent to the therapist revealed group differences from pre- to posttreatment (H3=8.26, P=.04). Group 3 showed a significantly smaller improvement in symptoms compared with group 4 (Z=–2.84, P=.002). Furthermore, there were group differences from pretreatment to follow-up (H3=8.90, P=.03). Again, group 3 showed a significantly smaller improvement in symptoms compared with group 4 (Z=–2.62, P=.004) and group 2 (Z=–2.47, P=.007). All other group comparisons did not yield significant differences.

Conclusion

This exploratory study suggests that participants characterized by low adherence and frequent messaging do not improve their symptoms as much as other participants. These participants might require more personalized support beyond the scope of guided internet interventions. The paper underscores the importance of considering individual differences in contact behavior when tailoring interventions. The results should be interpreted with caution and further investigated in future studies.
Teenager Substance Use on Reddit: Mixed Methods Computational Analysis of Frames and Emotions
Authors: Zhang Xinyu , Zhu Jianfeng , Kenne Deric R , Jin Ruoming
Published: December 2024

Background

Adolescent substance use disorder is a pressing public health issue, with increasing prevalence as individuals age. Social media platforms like Reddit (Reddit Inc) serve as significant venues for teenagers to discuss and navigate substance use. Social media platforms, such as Reddit, serve as increasingly important spaces where teenagers discuss, share, and navigate their experiences with substance use, presenting unique opportunities and challenges for understanding and addressing this issue.

Objective

This study aims to explore how teenagers frame substance-use discussions on the r/teenagers subreddit, focusing on their personal interpretations, causal attributions, and the social and psychological contexts that shape these online support groups. By identifying these interpretive frames, we aimed to better understand the complex drivers of adolescent substance use behavior and their potential interventions.

Methods

Using natural language processing techniques, we analyzed 32,674 substance use–related posts from 2018 to 2022. A framing approach was used to identify and categorize prevalent themes, supplemented by emotional profiling using the EmoLLaMA-chat-13B model developed by Liu and colleagues.

Results

In total, 7 primary frames emerged: normalization, risk awareness, social integration, autonomy and rebellion, coping mechanisms, media influence, and stigmatization. These frames varied in prevalence and were associated with distinct emotional profiles, highlighting the complex interplay between substance use and adolescent experiences. We observed that, for example, the normalization frame was often associated with a mix of sadness and anxiety, while the coping frame exhibited elevated levels of anger, sadness, and anxiety. These distinctive emotional landscapes associated with each frame reveal unique insights into the mental state of adolescents navigating substance use.

Conclusions

The findings underscore the multifaceted nature of adolescent substance-use discussions on social media. Interventions must address underlying emotional and social factors as well as identity to effectively mitigate substance use disorder among adolescents. By understanding the frames teenagers use to interpret substance use, we can pave the way for more effective and personalized public health campaigns, and support services designed to resonate with adolescents’ unique lived experiences.
Assessing a person-centred, culturally sensitive intervention for type 2 diabetes in persons with non-Western backgrounds: A mixed-methods realist evaluation protocol for the ACCT2 study (Preprint)
Authors: Jensen Mie Klarskov , Bjerre Natasja
Published: December 2024

BACKGROUND

People from ethnic minority backgrounds have a 2.5 times higher incidence of type 2 diabetes than ethnic Danes. They often face negative experiences with healthcare professionals, leading to mistrust and unequal treatment due to diverse health perceptions. A person-centred, culturally adapted approach focusing on knowledge, motivation, culture, beliefs, and socioeconomic support can improve self-care, diabetes management, and treatment adherence among persons from ethnic minority backgrounds.

OBJECTIVE

This mixed-methods realist evaluation protocol aims to understand how a person-centred and culturally sensitive course of treatment in individuals with type 2 diabetes and non-Western Backgrounds (The ACCT2 study) works.

METHODS

This study, embedded within a randomised controlled trial, the ACCT2 study, utilises a realist evaluation to assess what works, for whom it is most effective, and under what circumstances it is likely to be effective, alongside the causal effectiveness examined in the RCT. Our realist evaluation follows three phases: 1) Developing, 2) Testing, and 3) Refining initial program theories. Data will be collected through semi-structured interviews and survey data. A thematic analysis guided by a predefined codebook based on our initial program theories will be conducted.

RESULTS

The results will inform revisions to the hypothetical and theoretical initial program theories, ensuring a comprehensive model that accurately reflects the complex interactions between context, mechanisms, and outcomes in the ACCT2 study.

CONCLUSIONS

This RE is expected to support the RCT by offering insights applicable to real-life clinical settings. The anticipated impact includes aiding the future development and implementation of interventions for persons with ethnic minority backgrounds and T2D.

CLINICALTRIAL

This study is registered as a component of the ACCT2 study (ID: NCT06147245)
Large Language Models (Chat GPT, Claude, and Gemini) have potential to significantly transform data analysis and medical education in Assisted Reproductive Technology: Comparison Study. (Preprint)
Authors: Okuyama Noriyuki , Ishi Mika , Fukuoka Yuriko , Hattori Hiromitsu , Kasahara Yuta , Toshihiro Tai , Yoshinaga Koki , Hashimoto Tomoko , Kyono Koichi
Published: December 2024

BACKGROUND

Recent studies have demonstrated that large language models (LLMs) exhibit exceptional performance in medical examinations. However, there is a lack of reports assessing their capabilities in specific domains or their application in practical data analysis using code interpreters. Furthermore, comparative analyses across different LLMs have not been extensively conducted.

OBJECTIVE

The purpose of this study was to evaluate whether advanced AI models can analyze data from template-based input and can demonstrate basic knowledge of reproductive medicine. The three AI models (Chat GPT, Claude, and Gemini) were evaluated for their data analytical capabilities through numerical calculations and graph rendering. Their knowledge of infertility treatment was assessed by solving ten examination questions from experts.

METHODS

First, we uploaded data to the AI models and furnished instruction templates using the chat interface. The study investigated whether the AI models could perform pregnancy rate analysis and graph rendering, based on blastocyst grades according to Gardner criteria. Second, we assessed model diagnostic capabilities based on specialized knowledge. This evaluation utilized ten questions derived from the Japanese Fertility Specialist Examination and the Embryologist Certification Exam, along with chromosome imaging. These materials were curated under the supervision of certified embryologists and fertility specialists. All procedures were repeated ten times per AI model.

RESULTS

GPT-4o and Gemini performed analyses within 30 seconds, requiring minor corrections from time to time thereafter. However, the process did not reach the stage of data analysis with Claude. GPT-4o, Claude, and Gemini achieved perfect scores on a set of nine knowledge-based questions derived from professional fertility specialist examinations. However, none of the AI models were able to accurately perform karyotype diagnostic tasks in reproductive medicine.

CONCLUSIONS

This rapid processing demonstrates the potential for these AI models to significantly expedite data-intensive tasks in clinical settings. This performance underscores their potential utility as educational tools or decision support systems in reproductive medicine. However, none of the models were able to accurately interpret and diagnose using medical images.
Assessment of the In-situ Stress State of the Carbonate Rock Mass at an Oil Field
Authors: Ziganshin Eduard , Dubinya Nikita , Novikova Elena , Voronov Ivan
Published: December 2024

The paper presents an algorithm for reconstruction of stress state parameters of rock massif based on data on natural fractures. For one well developing an oil field, the directions of the principal in-situ stresses, their relative magnitudes, and the strength of the rocks in the near-wellbore space were reconstructed. Stress inversion results are in agreement with other methods of stress estimation, in particular, with the results of the mini-hydraulic fracture test. The inverse problem of stress state estimation is solved using the Monte Carlo method. An algorithm of applying the apparatus of mathematical statistics – the method of moments for determining distribution parameters from the Pearson distribution family – to quantify the ambiguity of the estimation of the directions of the principal stresses and their relative magnitudes is presented. The proposed algorithm can be used for independent reconstruction of stresses for carbonate rocks, provided that there is information about the conductivity of fractures in the rocks of the near-wellbore space to further improve the quality of one-dimensional and three-dimensional geomechanical modelling.
On Seismic Monitoring Of Dynamic Overpressure Zones In Shallow Marine Sediments
Authors: Tikhotskiy S. , Bayuk I. , Dubinya N. , Fomichev S. , Kuprin D. , Voronov I.
Published: December 2024

The paper presents an algorithm for reconstruction of stress state parameters of rock massif based on data on natural fractures. For one well developing an oil field, the directions of the principal in-situ stresses, their relative magnitudes, and the strength of the rocks in the near-wellbore space were reconstructed. Stress inversion results are in agreement with other methods of stress estimation, in particular, with the results of the mini-hydraulic fracture test. The inverse problem of stress state estimation is solved using the Monte Carlo method. An algorithm of applying the apparatus of mathematical statistics - the method of moments for determining distribution parameters from the Pearson distribution family - to quantify the ambiguity of the estimation of the directions of the principal stresses and their relative magnitudes is presented. The proposed algorithm can be used for independent reconstruction of stresses for carbonate rocks, provided that there is information about the conductivity of fractures in the rocks of the near-wellbore space to further improve the quality of one-dimensional and three-dimensional geomechanical modelling.
MAKE DISCOVERY THROUGH SERENDIPITY: A GENERATIVE DESIGN PLATFORM FOR PERFORMATIVE ARCHITECTURAL DESIGN EXPLORATION
Authors: Indraprastha Aswin
Published: December 2024

The repercussions of information technologies in the design process are undoubtedly revolutionary. As the digital natives will no longer require a traditional method to learn digital tools in architecture, there is a need to shift from tradition-bound techniques to an experimental mode where creativity and innovation rely upon a platform of explorative, speculative, and the recognition of serendipity and error as a credible basis on which innovation occurs. This study seeks to embrace a new method for design exploration by a generative design platform. Form-finding is encouraged through a bottom-up process of speculative actions. The goal is to cultivate serendipitous discoveries in the design process and leverage generative tools to explore performative aspects of architecture. The findings of this research offer some insights into how generative design platforms can encourage performative architectural design exploration.
Higher-Order Moment Risk and ESG Sentiment: Evidence from China’s Options Market
Authors: Yu Haixu , Liu Zhaohua
Published: December 2024

The relationship between risk and return is an important topic in financial research. In this paper, we investigate the factors affecting the higher-order moment risk premiums. The results indicate that there is a significant interaction between variance, skewness and kurtosis when considering risk premiums. This implies that there are both common and independent sources of risk information. In addition, ESG news sentiment has a significant positive effect on volatility risk premium.
Model Assessment of Supervised Machine Learning Techniques for Predicting Heart Disease
Authors: Kota Haripal Reddy , Kadaru Pavan Kumar , Nissar Shaik , Reddy Yaram Kota Surendhar , Venkatapathi Pallam
Published: December 2024

Abstract: Stroke is a leading cause of death and permanent disability, making it a serious global health concern. Cell death is the
result of impaired blood flow to the brain. Patient outcomes are ultimately impacted by prompt and precise stroke type
identification, which is essential for efficient management and treatment. The potential of machine learning algorithms to
categorize stroke subtypes and forecast the probability of stroke occurrence is examined in this project. A thorough dataset that
included clinical features, medical imaging results, and patient demographics was put together. To guarantee compatibility with
machine learning algorithms, this dataset was preprocessed, fixing missing values and transforming categorical variables into a
numerical format. To find the most pertinent variables for prediction, feature selection was done. Four machine learning
algorithms were used: Random Forest (an ensemble learning technique), k-NN (a nearest-neighbor method), J48 (a decision
tree algorithm), and Naive Bayes. A 10-fold cross-validation technique was used to thoroughly assess the model's performance,
guaranteeing solid and trustworthy outcomes. The Random Forest algorithm proved to be effective in predicting stroke, as
evidenced by its highest accuracy. The potential of machine learning to help medical professionals prevent, diagnose, and treat
strokes is highlighted by this finding. The knowledge gathered from this research could improve patient care and guide the
creation of individualized treatment programs. This project highlights the wider application of machine learning in healthcare
beyond stroke. Machine learning has the potential to revolutionize healthcare delivery by utilizing data analysis and predictive
modeling, which could result in better patient outcomes, more individualized treatments, and better diagnostics.
Advancing Tolerance Through Islamic Religious Education for Muslim Minorities in Hindu-Majority Communities
Authors: Hadi Muhammad Fazlurrahman , Usbani
Published: December 2024

This research is encouraged by the many conflicts in a society represented by the majority-minority and religion, leading to acts of violence, moral crises, and anarchism. Therefore, many parties then developed the role of education, especially Islamic education, amid non-Muslim communities. So, it is essential to analyze the behavior of the Muslim minority amid the Balinese Hindu majority community. How is the content and provision of the values of tolerance at the Bali Bina Insani Islamic Boarding School as a model of religious moderation? The purpose of this research is to analyze, test, and describe the life of a Hindu-majority society that is moderate towards Muslim minorities and, conversely, the development of Islamic values in the form of tolerance at the Bali Bina Insani Islamic Boarding School towards minority Hindu teachers and employees in it. This research shows that despite a Muslim minority in an Islamic boarding school entity amidst a Hindu majority, there are no acts of intolerance. And vice versa, even though there are teachers and employees at the Islamic boarding school who are Hindus (as a minority), they are still given rights that are by work professionalism, and there is no discrimination against them.
The Role of Religious Research in Shaping an Outstanding Generation of Islamic Education at Universitas Negeri Surabaya
Authors: Saadatul Ummah Fiena , Suwantoro  , Ahmad Safi’ie Hadi  , Fatma  , Syaifudin Noer
Published: December 2024

The study aimed to analyze the effectiveness of religious research as a catalyst in shaping an outstanding generation of Islamic Education (PAI) students at Universitas Negeri Surabaya (UNESA) enabling them to not only master religious theories but also apply them in relevant social contexts. This approach is expected to enhance students’ critical thinking, deepen their understanding of the material, and encourage active participation in research-based PAI learning. The study discusses the implications of applying religious research to students in UNESA. How can the effectiveness of religious research improve students’ abilities and skills? The study employs a mixed-methods approach, with quantitative data obtained through pre-tests and post-tests administered to students, while qualitative data is gathered through interviews, classroom observations, and student assignment analysis. The results reveal that after implementing religious research, there was a significant improvement in students’ critical thinking skills, understanding of PAI materials, active participation in discussions, and the quality of research assignments. Students also demonstrated an enhanced understanding of PAI materials in a broader and more practical context. Based on pre-test and post-test results, the interval results indicated an increase of approximately 30% - 40% based on measured indicators. The religious research approach was able to create a more dynamic and relevant PAI learning model in line with current needs, proving effective in shaping students who are not only academically excellent but also possess strong contextual abilities. This suggests that religious research can serve as a sustainable learning model to improve the quality of PAI education at the university level.
LEGAL PROTECTION OF PERSONAL DATA OF INDONESIAN CITIZENS BASED ON ACT NUMBER 27 OF 2022
Authors: Putri Ni Made Dwi Gayatri , Girinatha Dewa Gede Wibhi
Published: December 2024

The purpose of this research is to analyze personal data, which is private and must be protected. Numerous cases of personal data breaches in Indonesia have had detrimental effects on society. The lack of comprehensive legislation results in inadequate legal protection against data breaches. Due to the frequent occurrence of personal data breaches, the government enacted the Personal Data Protection Law Number 27 of 2022. This research employs normative methods with a legislative and conceptual approach. The findings reveal that legal protection against personal data breaches is comprehensive under Law Number 27 of 2022. Preventive efforts to protect personal data include not sharing data by the public and avoiding illegal platforms prone to cybercrime. There is also a need for public awareness to safeguard personal data. Meanwhile, the government will conduct compliance testing and take repressive protective measures. If a personal data breach occurs, the sanctions outlined in the Personal Data Protection Law include criminal penalties under Articles 67 and 68, which stipulate fines and imprisonment, and Article 70 for corporate violations.
Para além de Brotinho
Authors: Silva de Moura Gustavo , Da Silva Fontineles Claudia Cristina
Published: December 2024

O presente artigo visa discutir, a partir do Almanaque da Parnaíba, o papel das mulheres no cenário musical do litoral do Piauí, na década de 1960, com destaque aos conjuntos musicais vinculados ao rock, são eles: Brotinho, Os Fantasmas e Colegiais no Ritmo. O estudo ressalta a contribuição significativa dessas artistas para a cena musical piauiense. Salientamos que, apesar de serem omitidas nas narrativas históricas, essas mulheres foram essenciais na formação da identidade e cultura musical.
História Pública e os novos movimentos sociais
Authors: Fetter da Silva Leonardo , De Amaral Maia Tatyana
Published: December 2024

O objetivo do artigo é analisar a atuação dos Pontos de Cultura no Rio Grande do Sul como parte dos novos movimentos sociais e de um processo de requalificação das relações entre o Estado e os coletivos culturais. Trata-se de uma pesquisa-ação que busca compreender, a partir de entrevistas e dos podcasts produzidos pelos coletivos, como a participação no Programa Cultura Viva valoriza a cultura comunitária e descentraliza os recursos da cultura. Também buscamos apresentar o projeto Cultura em Pontos, um roteiro que pretende articular os bens materiais e imateriais do estado do RS.
Memórias sobre os Movimentos Sociais em Araçagi/PB nas décadas de 1980 e 1990
Authors: De Paiva Neto Francisco Fagundes
Published: December 2024

Neste artigo, discutimos a participação de Maria Preta em movimentos sociais na cidade de Araçagi/PB nas décadas de 1980 e de 1990. A militância deu-se nos serviços da Igreja, no sindicalismo rural e no movimento das mulheres trabalhadoras. Com a criação da Diocese de Guarabira/PB, religiosos e leigos promoveram ações coletivas no sindicalismo e na organização do Movimento das Mulheres Trabalhadoras/PB. Essas modalidades de movimentos sociais institucionalizados permitiram uma participação ampliada das mulheres na política regional.
História Pública pela Paz
Authors: Dutra de Freitas Isadora
Published: December 2024

Tradução feita pela autora de entrevista realizada com a Professora Dra. Catalina Muñoz (Universidad de los Andes – Bogotá) em 07 de agosto de 2024, às 12h (horário de Brasília), via Zoom.
Quando memória e espaço se abraçam
Authors: Santhiago Ricardo , Morais Garcia Lima Lívia
Published: December 2024

Este artigo tem por objetivo discutir as aproximações entre a história pública e práticas participativas de memória em contextos urbanos periféricos. A partir da análise dos casos da criação do CPDOC São Miguel e de entrevistas com as Guardiãs do Território do Jardim Lapenna, a pesquisa destaca o potencial da participação em trabalhos de memória analógicos. Destacamos, antes, a história oral e a participação comunitária de pesquisadores sociais como elementos centrais na preservação da memória local, que pode ser importante e transformadora para suas comunidades de referência.
Pareceristas desta Edição
Authors: Editores
Published: December 2024

Lista dos pareceristas desta Edição (vol. 17, n. 2, jul.-dez., 2024)
Apresentação
Authors: Perry Jimena , Almeida Juniele Râbelo de , Maia Tatyana de Amaral
Published: December 2024

Este dossiê reúne artigos dedicados à análise dos impactos dos movimentos sociais na produção do conhecimento histórico, em diálogo com novas perspectivas da historiografia brasileira e latino-americana. Trata-se de pesquisas que exploram a relação entre a história pública e a história oral. Ao abordar a história recente da América Latina, este dossiê compreende processos e fenômenos sociais dinâmicos, em constante transformação, e, portanto, sujeitos a contínuas mudanças em um espaço de reconhecimento da diversidade cultural.
Inteligencia Artificial Generativa: El rey va desnudo y el trabajo no es lo que era.
Authors: Pandolfi Daniel , Villagra Andrea
Published: December 2024

Este documento examina el impacto transformador de la inteligencia artificial generativa (IAG) en la educación y el trabajo. Basado en reflexiones presentadas en diversos eventos de divulgación científica, como la XXII Escuela de Informática y Décima EXPO Industrial y Comercial de Innovación Tecnológica, entre otros. Se utiliza la metáfora del cuento "El traje nuevo del emperador" para destacar cómo se suele minimizar o ignorar los cambios disruptivos que trae esta tecnología.
La IAG, basada en aprendizaje profundo, permite generar contenido nuevo y personalizado, automatizar tareas y transformar procesos educativos y laborales. En educación, ofrece beneficios como aprendizaje personalizado y automatización, pero también enfrenta desafíos como garantizar equidad en el acceso, privacidad de datos y formación docente. En el ámbito laboral, está redefiniendo el trabajo independiente, potenciando la creatividad y productividad de freelancers, aunque plantea riesgos como la precarización laboral y la dependencia tecnológica.
Se concluye con un llamado a adoptar la IAG de manera crítica y ética, equilibrando sus avances con políticas inclusivas que minimicen desigualdades. Se reconoce que, aunque la IAG ofrece grandes oportunidades, su implementación debe hacerse con reflexión y responsabilidad para evitar caer en discursos idealizados.
Supporting Students with Diverse Learning Needs Using Universal Design for Learning in Online Learning: Voice of the Students
Authors: Montgomery Diane , Snow Kathy
Published: December 2024

During the COVID-19 pandemic, online learning became the predominant mode of learning for 33 to 54% of students in Canada’s three largest school boards. As inclusive practices continue to grow and online learning is now part of the Ontario curriculum, educators need guidance on how to support K-12 students with diverse learning needs in online and inclusive classrooms. This case study attends to the voice of elementary and high-school students, with and without disabilities who shared their experiences of online learning during the pandemic. It explored the impacts of integrating multiple methods of instruction, assessment, and technology to accommodate diverse learning needs. Results indicated that limited opportunity for connections and lack of structure and guidance were key factors that impacted the students’ motivation and ability to learn in the online environment, and age was a determining factor in technology use preferences.
Ieskats vārddarināšanas jautājumos Jāņa Endzelīna darbos
Authors: Frīdenberga Anna
Published: December 2024

Raksts veltīts Jāņa Endzelīna devumam latviešu valodas vārddarināšanas jomā. J. Endzelīns vārddarināšanas jautājumiem savos darbos pievērsies vairākos aspektos. Vēsturiskā aspektā latviešu valodas vārddarināšanas sistēma aplūkota J. Endzelīna zinātniskajos darbos, savukārt praktiski ieteikumi vārdu darināšanā un valodas kultūras jautājumos skarti, piem., Rīgas Latviešu biedrības Valodniecības nodaļas sēdēs, kur 20. gs. 30. gados daudz tiek runāts par jaunu terminu darināšanu.
Vairākiem ar vārdu darināšanu saistītiem jautājumiem J. Endzelīns pievērsis īpašu uzmanību, tie arī aplūkoti rakstā. Piem., J. Endzelīns skaidrojis dažādu vārddarināšanas afiksu izmantošanu jaunu vārdu darināšanā, pievērsdams uzmanību dažu darinājumu atšķirībām semantikā – sub­stantīviem ar piedēkli -īb- un -um-, adjektīviem ar -īg- un -isk-, -ēj- un -īg- u. c. Valodniecības nodaļas sēdēs daudzkārt spriests par attiecīgā afiksa lietojuma kļūdu. J. Endzelīns uzskata par latviešu valodai neatbilstošiem vairākus salikteņu darināšanas modeļus un to vietā iesaka dažādus darinājumus ar piedēkli -kl-.
Sniedzot ieteikumus par jaunu vārdu, terminu darināšanu, J. Endzelīns balstās uz vairākiem principiem. Divi galvenie J. Endzelīna principi jaunu vārdu darināšanā ir latviešu valodas tradīcija, lietotās likumības, kā arī formu un konstrukciju senums, salīdzinājums ar lietuviešu valodu. Runājot par tradīciju, J. Endzelīns bieži piemin vārddarināšanā nozīmīgo analoģijas principu, kā arī uzsver, ka būtiski ievērot vārddarināšanas celmu, no kura darina konkrētos atvasinājumus, un konkrēto piedēkļu nozīmi. J. Endzelīnam svarīgs arī valodas ekonomijas princips. Jauni termini darināmi pēc valodā eksistējošiem paraugiem, un, atvasinot jaunus vārdus, jāpārzina konkrētā afiksa semantika, kā arī jaunvārdiem jāiekļaujas latviešu valodas vārddarināšanas sistēmā. Ļoti būtiskas J. Endzelīnam ir saites starp baltu valodām, kopīgas leksikas piemēri.
APPLICATION OF PRUDENTIAL BANKING TO ELIGIBILITY FOR THE DISTRIBUTION OF KUR UMKM BSI BRANCH DIPONEGORO BANDA ACEH. STUDY ON TESTING THE INCOME AND PROFITABILITY OF DEBTOR CUSTOMERS' BUSINESSES
Authors: Adzkia Khaliza , Mukdin Khairani , Sholihin Riadhus
Published: December 2024

This research emphasises the importance of testing customer income and profitability in ensuring financing eligibility and supporting the financial stability of banks and the development of MSMEs in Indonesia. This reseacrh aims to ensure that the financing disbursement process is carried out effectively and in accordance with prudential banking principles with legal provisions. This research method is normative empirical. The results of the research showed that the distribution of KUR was in accordance with the mandate of articles 8 and 29 of Law No. 10 of 1998 on Banking and article 23 of Law No. 21 of 2008 on Sharia Banking. This can be seen from the application of KUR distribution at BSI Diponegoro Branch Banda Aceh which is carried out strictly through testing with five main stages, namely BI checking, surveys, business feasibility analysis, analysis of collateral feasibility, the committee process with the leadership and the analysis of MSMEs income and profitability by paying attention to income sources, income stability, sales trends, seasonal patterns, sales targets, profit patterns, bank transaction history and bank transaction frequency.
PERBEDAAN HASIL TANGKAPAN BELUT SAWAH (Monopterus albus) MENGGUNAKAN BUBU PIPA PARALON DENGAN PENAMBAHAN LUBANG DAN TANPA PENAMBAHAN LUBANG DI DESA TANJUNG TANAH KABUPATEN KERINCI
Authors: Halim Muhammad Abdul , H Afriani , Farizal Farizal
Published: December 2024

Belut (Monopterus albus) merupakan ikan dari keluarga Synbranchidae dan tergolong ordo Synbranehoidae, yaitu tidak meiliki sirip atau anggota lain untuk bergerak. Tujuan dari penelitian ini adalah untuk mengetahui perbedaan hasil tangkapan belut sawah dengan menggunakan alat tangkap bubu pipa paralon dengan penambahan lubang dan tanpa penambahan lubang di Desa Tanjung Tanah Kabupaten Kerinci. Penelitian ini dilaksanakan dari tanggal 10 September 2021 - 9 Oktober 2021 di Desa Tanjung Tanah Kabupaten Kerinci. Metode yang digunakan adalah metode experimental fishing yaitu metode penangkapan secara langsung oleh peneliti. Data yang dihimpun dalam penelitian ini adalah jumlah (ekor), berat (gram/ekor), panjang (cm), dan lingkar badan (cm), kemudian dianalisis dengan menggunakan Uji T. Hasil penelitian menunjukkan penambahan lubang pada bubu pipa paralon menunjukkan hasil yang berbeda nyata (P<0,05) baik pada jumlah maupun berat hasil tangkapan belut. Jumlah hasil tangkapan belut pada bubu pipa paralon dengan penambahan lubang sebanyak 175 ekor dengan total berat 4760 gram dan pada bubu tanpa penambahan lubang sebanyak 151 ekor dengan total berat 3977 gram. Berdasarkan hasil penelitian yang telah dilakukan, dapat disimpulkan bahwa bubu dengan penambahan lubang mendapatkan hasil tangkapan yang lebih banyak dibandingkan bubu tanpa penambahan lubang baik dari segi jumlah maupun berat hasil tangkapan.
Kata Kunci: bubu paralon, penambahan lubang, belut
Estrategias de mejoramiento continuo para la producción intelectual del programa de música
Authors: Hernández Contreras Daniela , Pulido Pulido Jaime Javier , Arias Liévano Jhonatan David , Calderón Tovar Liz Jennifer
Published: December 2024

El presente libro va dirigido a todo público interesado en conocer con detalle las estrategias propuestas desde el Programa de Música para fortalecer la formación disciplinar y el bienestar de los estudiantes en su tránsito por la universidad, consolidando escenarios visibles de producción intelectual desde la vida académica y universitaria.Escucharte Eventos, Escucharte Radio, el Encuentro de Música, los Grupos de Proyección y el Ensamble Vocal, son escenarios donde confluyen el conocimiento y el aprendizaje entrelazados en dinámicas formativas a partir de relaciones interpersonales mediadas virtual y presencialmente.  Por lo tanto, el lector podrá encontrar las especificidades, historia y relevancia de cada de una de estas estrategias, para analizar su impacto al interior del Programa de Música y su relevancia como herramientas que fomentan el bienestar y la formación disciplinar.En conclusión, estas estrategias propuestas desde el Programa de Música se convierten en escenarios paralelos que generan nuevo conocimiento y una producción intelectual importante, que debe establecerse institucionalmente en la UNAD para mantener su relevancia en el tiempo.
When GPT Digested the Medium Hélène Smith
Authors: Katerina Undo
Published: December 2024

Exploring synergies between the study of the medium Hélène Smith at the turn of the 20th century and contemporary notions of subjectivity, artificiality and intelligence in the age of AI, the question of locating intelligence will not be a question with a binary answer in this paper. It will be shifted to multiple sites in an assimilative assemblage, exploring how identification might work from a rather metabolic side of the conversation. Weaving a thinking continuum on the evolving human-machine complexes beyond circular debates, Hélène Smith's ambiguous Martian writings are fed into GPT; an act intended as a metaphor and method for overcoming our binary contradiction of intelligence as either “natural” or “artificial”, ultimately generating new subjectivities, fluid variables or even contradictory insights. In this context, a meditation with speculative moments is attempted through human-machine inter-written texts, enacted through inter-twined speeches that reciprocally represent and interpret their own transitive nature.
Guilty Pleasures: Immersive Art for the Oral Cavity
Authors: Luke Franzke  , Johannes Lucian Reck
Published: December 2024

This paper examines emerging theories of perception and their relation to metabolic processes and presents the interactive installation Guilty Pleasures, informed by these theoretical principles. The metabolic nature of perception is particularly apparent in the experiences relating to the oral cavity, and this work explores this through an intra-oral electronic interface, combined with other modalities for enacting illusory sensations of eating, together with the exploration of the phenomenology of craving and the pica condition.