bluuebunny/crossref_metadata_2025 huggingface dataset:
Beyond the Algorithm. Ethical and aesthetic challenges of AI in music
Authors: Corbelli Alessandra
Published: January 2025

This paper explores the intersection of music and artificial intelligence (AI). The document discusses significant projects like Sony's Flow Machines and AIVA, highlighting how AI is utilized in the musical domain as an assistive tool (e.g., in activities like editing), an analytical instrument (for understanding musical language, for instance, in musicological research), for profiling (for targeting purposes and beyond), and for generating music.
The paper lists several open questions, such as issues related to the attribution of works, the originality of AI-generated music and copyright law and it also delves into the legal and ethical implications, particularly regarding copyright and the potential for AI to commit plagiarism or create derivative works.Key challenges and considerations in AI-generated music are addressed, including autonomy,  creativity, and intentionality. While AI's capacity for creativity is still evolving, the need for human intervention in training and refining AI outputs is still crucial. The intentionality behind AI-created music and the integration of human values are critical in ensuring that the produced music is meaningful and resonates with human audiences. Finally, this study examines whether AI can be considered a creative entity or if it functions merely as an advanced tool for human composers, analyzing the aesthetic and functional transformations brought about by AI in the realm of music creation.
Presentazione: Forme ed estetiche del disgusto
Authors: Ciprandi Davide , Lino Mirko
Published: January 2025

The present issue of Itinera collects the results and in-depth elaborations of the papers that were presented during the Graduate Conference Forms and Aesthetics of Disgust, held on 12 and 13 December 2023 at the University of L'Aquila, organised by a group of PhD students from the PhD programme in Literature, Arts and Media: Transcoding. During the conference, the notion of disgust was framed in its rich complexity and transversality, sifted through aesthetic-philosophical terms and those of representation and representability.
Nudity, Blood and Scopophilia. Disgust in Roman Polanski’s Macbeth
Authors: Argentieri Federzoni Giulia
Published: January 2025

In 1971, only two years after the massacre of his family on behalf of Charles Manson and his “disciples”, Roman Polanski directed a controversial film adaptation of William Shakespeare’s Scottish tragedy produced by the Playboy tycoon Hugh Hefner. The result
of this peculiar combination of intents is a raw, often visually brutal film in which the concepts of evil and disgust overlap repeatedly in the form of uncanny images that the audience will hardly forget.
The aim of this paper is to illustrate how Polanski uses and modifies the original Shakespearean material and the horror of his personal experience, with particular attention to nudity, blood and scopophilia, to evoke uneasiness and disgust. The analysis will focus on some specific choices that emphasize pivotal moments of the tragedy mostly through a process of over showing.
Sights and Sounds of Disgusting Abjections: The Monstrous Feminine in The Exorcist (1973)
Authors: Franciotti Ilaria , Sbravatti Valerio
Published: January 2025

The film The Exorcist contains many excessive and gross images, which made its repu- tation as a milestone in the history of horror. The representation of the possessed Regan as an abject creature entails the concept of monstrous feminine, revealing the terror that the patriarchy has towards the psychophysical development of women, who achieve emancipation through puberty. Regan becomes angry, opposes earthly authorities and God, and speaks of sex: in other words, she transforms from an “innocent” girl into an abject woman, which is sanctioned by the scene in which she masturbates with a crucifix and pushes her mother’s face onto her genitals. The Exorcist shows taboo behaviors be- fore re-establishing (male) order: the priests perform the exorcism by entering Regan’s body and the matriarchal home of the MacNeil family. Visual abjections are linked to Regan’s body vomiting green bile, urinating on the floor, initiating incest with her mother; her skin changes color, becomes covered with sores and pus, and her hair becomes greasy and disheveled. These disgusting alterations are related to the adolescent menarche, and they are instrumental in highlighting the battle between patriarchal structures and the dis- ruptive sexuality represented by the female body at the beginning of puberty. However, such representation not only is visual, but also aural: Regan’s voice is replete with exces- sive features, in terms of both form – the profanities she says – and substance – the acous- tic quality of the voice, which contains nonlinear analogues of animal sounds produced under duress. Regan is aurally “possessed”, since her demonic voice is not that of the teenager actress that visually plays the character (Linda Blair) but rather that of a mature woman (Mercedes McCambridge). The vocal sounds of the demon are in same cases di- alogue proper, but they are also used as non-verbal sound effects in order to denote Re- gan’s abnormality and elicit a disgusted reaction in the audience. The choice of McCam- bridge is interesting not only because of its raucous, wheezing sound, but also because of her connotation as queer. Regan’s vocal excess is queer itself, since Pazuzu is connoted as male while the possessed person is female and speaks with a female voice – although mannish. Such vocal excess reveals to Regan’s mother and to the rest of the characters the uncanny emergence of womanhood and sexual drive from the child’s psyche and body.
Determinants of COVID-19 Severity: A Retrospective Analysis of Clinical and Epidemiological Factors in Durango, Mexico
Authors: Cynthia Mora Muñoz Cynthia , Payan Gándara Hugo , Gandara Mireles Jesus Alonso , Patrón Romero Leslie , Almanza-Reyes Horacio
Published: January 2025

Background: The COVID-19 pandemic, caused by SARS-CoV-2, has had a devastating global impact, with millions of confirmed cases and deaths. This study focused on analyzing 63,252 patient records from the state of Durango, Mexico, to identify clinical and epidemiological factors associated with disease severity. Methods: The study employed a descriptive, observational, and retrospective approach, based on open data from the SISVER platform. A descriptive analysis was conducted to summarize demographic and clinical characteristics. A multivariate analysis was performed using the graph of relative inertias to assess how the covariates (comorbidities) were associated with hospitalization, intubation, and death in the patients. Subsequently, odds ratios tests were calculated to evaluate the associations between specific clinical variables, such as pneumonia, obesity, and other comorbidities, and intubation.Results: We were found that the majority of cases (93.8%) were treated on an outpatient basis, while 6.2% required hospitalization. Hypertension, diabetes, and obesity were the most prevalent comorbidities. The mortality rate in the population was 2.1%, particularly in Jurisdiction I, corresponding to the capital city. Pneumonia was strongly associated with intubation (OR = 9.03, 95% CI = 1.0232 – 44.3230, p = 0.03), and obesity also showed an increased risk (OR = 2.64, 95% CI = 1.0021 – 22.4210, p = 0.02). These findings underscore the importance of identifying and managing comorbidities in patients infected with SARS-CoV-2. Conclusion: The results highlight the relevance of social determinants of health and the need for public policies that address inequalities in the context of appropriately managing risk factors to reduce morbidity and mortality associated with COVID-19 in Mexico.
Antrachinon – frakcja wdychalna. Dokumentacja proponowanych wartości dopuszczalnych wielkości narażenia zawodowego
Authors:   Barbara Frydrych, Bruchajzer Elżbieta
Published: January 2025

Antrachinon (9,10-antrachinon; AQ) to bezwonne, nierozpuszczalne w wodzie ciało stałe o niskiej prężności par. Wykorzystywany jest głównie do produkcji barwników antrachinonowych oraz w przemyśle celulozowo-papierniczym. W powietrzu występuje zwykle w postaci pyłów. Narażenie zawodowe występuje w rolnictwie, przemyśle chemicznym i papierniczym. Dane epidemiologiczne dotyczące narażenia zawodowego dotyczą tylko narażenia mieszanego na wiele substancji. Doku-mentację dla antrachinonu i propozycję wartości NDS przygotowano zgodnie z zaproponowaną przez Komisję Europejską listą substancji zalecanych do naukowego opracowania i/lub weryfikacji normatywów higienicznych w ramach regulacji polityki bezpieczeństwa i higieny pracy (OSH – Occupational Safety and Health). Antrachinon to substancja rakotwórcza kategorii 1B, dla której w Polsce nie ustalono dotychczas wartości NDS. W badaniach toksyczności podprzewlekłej (podanie dożołądkowe) zaobserwowano u szczurów zmiany morfometryczne, hematologiczne oraz histopatologiczne nasilające się wraz ze wzrostem poziomu narażenia. Przewlekła ekspozycja zwierząt na AQ oprócz zmian nienowotworowych powodowała także zwiększone ryzyko powstawania nowotworów (wątroby, nerek, pęcherza moczowego), częściej występujące u szczurów niż u myszy (grupa 2B wg IARC). Antrachinon nie działał mutagennie ani genotoksycznie. Mechanizm działania toksycznego AQ może być związany z indukcją aktywności enzymów mikrosomalnych (szczególnie CYP2B) oraz tworzeniem hydroksylowych pochodnych, które mogą odpowiadać za działanie rakotwórcze. Przegląd danych literaturowych wskazuje, że narażenie na antrachinon może być związane z wdychaniem pyłów (cząstek stałych). Proponuje się przyjąć za NDS dla frakcji wdychalnej wartość 0,5 mg/m3 i umieścić oznakowanie „Carc. 1B” – działanie rakotwórcze kategorii 1B z odnotacją „H350: Może powodować raka”. Klasyfikacja jest zgodna z wykazem CLP. Brak podstaw do ustalenia wartości NDSCh i DSB.
Enhanced Entity Recognition of Islamic Hadiths based-on Hybrid LSTM and AraBERT Model
Authors:   Iran University of Science and Technology, Tehran, Iran, Wessam Wessam ,   Iran University of Science and Technology, Tehran, Iran,   Iran University of Science and Technology, Tehran, Iran,   Computer Research Center of Islamic Sciences (CRCIS), Qom, Iran,   Computer Research Center of Islamic Sciences (CRCIS), Qom, Iran, Bidgoli Behrooz Minaei , Eetemadi Sayyed Sauleh , Shenasa Mohammad Ebrahim , Hosseini Seyyed Ali
Published: January 2025

This paper focuses on the training, evaluation and development of named entity recognition (NER) models designed for Islamic hadiths in Arabic Utilizing the Hadith Noor dataset, the study uses the BIO (Basic, In, Out) tagging scheme to classify words or tokens in NER tasks and the segmentation of the text into individual tokens. The right-skewed distribution revealed by examining the lengths of the Islamic hadiths revealed a right-skewed distribution, indicating that shorter texts are more common. Texts less than 100 words were most prevalent, followed by texts between 100 and 200 words, while texts longer than 200 words were rare. The dataset identifies eight types of entities, such as common names among narrators and locations. The study by training the three models AraBERT, LSTM and the hybrid model AraBERT-LSTM on Arabic text processing respectively, the hybrid model showed a performance, efficiency and accuracy of 0.981, outperforming the rest of the models, confirming its worth and reliability in NER tasks for natural language in Arabic, especially Islamic hadiths, which opens the way for exploring further investigations for future research in natural language processing.
Corvid Intelligence and Social Complexity: An In-Depth Exploration of Adaptation Across Varied Ecological Contexts
Authors: Ning Chao
Published: January 2025

Corvids, known for their exceptional cognitive abilities and complex social behaviors, are one of the most studied avian groups. However, there remains a significant gap in understanding the full extent of their distribution, behaviors, and adaptability across diverse environments. This paper synthesizes current knowledge on corvid intelligence, social structures, and ecological roles, with a focus on their adaptability to urbanization and climate change. Key findings highlight the influence of social complexity on cognitive development, the significant role corvids play in ecosystem services through behaviors such as seed dispersal and scavenging, and the genetic divergence driven by niche differentiation. The study underscores the importance of interdisciplinary research to further explore genetic and behavioral adaptations and advocates for public engagement and the use of emerging technologies in corvid conservation. This paper contributes to a broader understanding of avian evolution and offers valuable insights for developing effective conservation strategies in rapidly changing environments
Investigating the Initiate and Onset Mechanisms of Alzheimer's Disease Through Natural and Chimeric Animal Models
Authors: Liu Bowen , Liu Songlin
Published: January 2025

Alzheimer's disease (AD) is a long process and its pathological pathways preceding diagnostic symptoms remain unclear. Therefore, this unclear situation has greatly hindered the research progress of AD-related treatment. We use Octodon degus to design experiments to screen out AD-related mRNA in early stage. Then, we designed and tested multiple molecular beacons and shRNAs to evaluate the correlation and specificity between AD and target mRNA. Next, we investigate whether mice with tissue transplantation would develop sporadic AD. This study aims to explore the onset mechanisms of Alzheimer's disease (AD) using a variety of animal models, including degus and chimeric mice. By identifying new biomarkers and studying gene expression profiles associated with AD, this research seeks to elucidate early-stage disease mechanisms and potential pathways for therapeutic intervention
The Impact of Circadian Rhythms on the Development of Depression
Authors: Li Xinzhe
Published: January 2025

Human beings exist in a 24-hour cycle where day and night alternate in a daily pattern. Circadian rhythms, which connects the body and environment successfully, have developed in nearly all living organisms. The suprachiasmatic nucleus (SCN), a circadian timer situated in the hypothalamus, aligns our internal biological clocks with the Earths 24-hour day-night cycle. This synchronization is achieved through a pathway from the retina. These rhythms regulate a wide array of physiological processes, such as hunger, sleep patterns, physical activity, hormone. It is noteworthy that mood also exhibits a daily pattern, and disturbances in the circadian system are associated with mood-related issues. People with depression frequently exhibit irregularities in their sleep, appetite, activity levels, and cortisol release, indicating that the stability of circadian rhythms is a key contributor to the onset and physiological processes of depressive disorders. This article reviews recent research findings in both humans and animal models that connect disrupted circadian rhythms with depressive disorders. Understanding this link could lead to innovative therapeutic approaches, such as treatments aimed at restoring circadian rhythm integrity, and may also open doors for preventive measures targeting those at risk of mood disorders. Continued research in this area holds promise for improving mental health outcomes by addressing the underlying biological mechanisms tied to circadian rhythms and mood regulation
The function of GABA in the suprachiasmatic nucleus and its effect on circadian rhythm
Authors: Xu Zhifei
Published: January 2025

Gamma-aminobutyric acid (GABA) is one of the neuron transmitters commonly found in mammals. Previous works have proved the inhibitory nature of GABA in many activities it partakes in. However, recent studies have found that GABA could act as an excitatory factor in certain neural pathways especially in the suprachiasmatic nucleus (SCN) region of the hypothalamus. Circadian clock or circadian rhythm is critical among organisms reaction and regulation to the time of day which helps the organisms maintain homeostasis to the changing weather and seasons. This process can be found in nearly all kingdoms of organisms, particularly which is regulated by the SCN region of the hypothalamus in mammals. In recent years, the potential link between GABA and sleep or circadian rhythm became a new topic among many researchers. Studies have found that GABA has an important effect on circadian rhythm. The excitatory or inhibitory effects of GABA in the SCN is dependent on the concentration of intercellular chloride ion, exposure to day-light and several other factors. GABA can also regulate the concentration level of intercellular ion in the SCN and thus achieve the self-regulating GABAergic neurons. The coupling of the circadian rhythms which is the essential process to synchronize the neuron cell firing rate is also mediated by GABA
Circadian Rhythms and Depression: Exploring the Connection
Authors: Zhang Shizhong
Published: January 2025

Circadian rhythms, which regulate sleep-wake cycles, mood, and various physiological processes, are tightly linked to mental health. Disruptions in circadian rhythms are commonly observed in individuals with depression, manifesting as insomnia, early awakening, or excessive sleepiness. These disturbances can exacerbate depressive symptoms by affecting neurobiological mechanisms, including hormone regulation and neurotransmitter balance. Research indicates that insomnia is not only a consequence of depression but also a potential precursor, highlighting the bidirectional relationship between circadian rhythm disorders and mood disorders. Genetic factors, such as variations in clock genes, further contribute to circadian disruptions and increase susceptibility to depression. Therapeutic approaches targeting circadian rhythms, such as melatonin supplementation, light therapy, and wearable technology, offer promising solutions for managing both circadian disturbances and depressive symptoms. Future research should explore individualized treatment individualized treatment strategies and genetic interventions to prevent and treat depression by aligning circadian rhythms with external environmental cues. Understanding the complex interaction between circadian rhythms and depression could lead to more personalized and effective therapies
The Impact of Circadian Rhythm Disruption on Breast Cancer: Mechanistic Insights into Hormonal Dysregulation, Gene Expression Alterations, and Potential Therapeutic Strategies
Authors: Li Runze
Published: January 2025

Disruption of the circadian rhythm, frequently due to shift work and nighttime light exposure, is increasingly being associated with a greater risk of breast cancer. This disruption affects melatonin secretion, a hormone known for its tumor-suppressing properties, and alters circadian gene expression, particularly in genes like PER and CRY, which are crucial for regulating the cell cycle and apoptosis. The imbalance in melatonin can lead to increased estrogen activity and promote tumor development. Additionally, circadian misalignment affects metabolic processes, contributing to an environment conducive to cancer growth. Specifically, shift work is linked to a heightened risk of breast cancer because of such hormonal and genetic disruptions. This review highlights the potential of therapies such as melatonin supplementation and light therapy in minimizing the negative impacts of circadian disruption. By investigating the molecular pathways that connect circadian rhythms and cancer, this review underscores the need for further research and public awareness of the impact of circadian misalignment on breast cancer risk, offering insights for potential preventative and therapeutic strategies
Advances in the principles and treatment of Alzheimer's disease
Authors: Zhuang Yuxuan
Published: January 2025

Alzheimer disease (AD) has become a heat topic since the number of populations suffering from AD is continuously ascending, causing burdens for the whole society [1]. AD is caused by the presence of -amyloid-containing plaques and tau-containing neurofibrillary tangles [2]. Therapeutic endeavors are still struggling to find targets based on this mechanism. While achieving therapeutic treatments which slower the process of AD cognitive impairment, treatment that can completely cure AD has not been developed. This Primer explains the mechanism of AD from the prospective of synaptic disorder which mainly results from the aggregation of Aplaques and tau protein which both prevent neuronal signaling. In addition, this Primer emphasize advances in its diagnosis, including clinical diagnosis and advances in biomarkers, as well as the side effect of previous diagnosis and relevant hypothesis of improvement
Applications of Liposomal Arsenic Trioxide (ATO) on Cancer Treatment
Authors: Wang Zhenni
Published: January 2025

Arsenic trioxide (ATO) is a therapeutic agent that is recognized for its antitumor efficacy and has been widely used in the treatment of acute promyelocytic leukemia. The agent is widely used with tretinoin to treat relapsed patients by damaging a fusion protein. However, specific limitations of the agent, such as its dose-limiting toxicity and rapid renal clearance, have hindered its clinical applications. As the nanomedicine field has continued to grow, researchers have had an interest in studying the effect of the encapsulation of drugs by nanoscale drug delivery systems, liposomal nanoparticle-based delivery systems are currently the majority of approved DDS, which minimizes side effects by enabling site-specific delivery, improving drug stability, and prolonging circulation period. Previous research on the liposomal encapsulation of ATO suggested that the encapsulation might beneficially affect tissue distribution. However, the ATO liposomes were also unstable during the experiment due to the rapid diffusion of the agent. Globally, Scientists have made progress in studying the application of liposomal ATO in different cancers, including multiple myeloma, acute promyelocytic leukemia, HPV-positive cervical cancer, prostate cancer, and breast cancer. Future research on liposomal ATO may focus on a more thorough understanding and analysis of its safety data by conducting more clinical trials and developing a better understanding of its biological activity and toxicity levels, etc., aiming to develop more control of the nanomedicine system and decrease production costs to maximize the demonstration of the potential role of Liposomal ATO
Control and spread of African Swine fever
Authors: Feng Yuce
Published: January 2025

The study's objective is to comprehensively understand the mechanism and control of African swine fever through secondary research. The author proposed a range of control measures to reduce the spread of the disease in pigs, aiming to enhance the overall health and well-being of the pig community and extend their life expectancy. The study conducts a detailed analysis of the spread and control of African swine fever (ASF), with a particular focus on pig health. It extensively explores various factors contributing to African swine fever (ASF)and thoroughly examines the associated clinical symptoms. The findings of this review are expected to be clinically relevant for establishing optimal control measures and improving the quality of life for pigs. This, in turn, will help ensure the health and well-being of a wide range of swine fever patients, reduce the transmission efficiency of the disease, increase pork production, and guarantee the quality and safety of pork
The Influence of CITO Procurement on Pharmaceutical Supply Chains: Efficiency, Challenges, and Outcomes
Authors: Ningsih Desy Kartika
Published: January 2025

This paper investigates the role of CITO (Critical Item Time Order) procurement in optimizing pharmaceutical supply chains, particularly in contexts requiring rapid responses to urgent supply needs. CITO procurement is analyzed for its effectiveness in enhancing operational efficiency, cost management, and patient outcomes within healthcare settings. Through a comprehensive review of existing literature and case studies, the paper identifies both the strengths and challenges associated with CITO implementation. Key findings suggest that while CITO can significantly reduce lead times and stockouts, organizations must also address potential risks related to supplier quality and regulatory compliance. The study proposes strategies for optimizing CITO procurement processes, emphasizing the importance of technology and strong supplier relationships in ensuring reliable and timely access to critical medications. Ultimately, this research highlights CITO’s potential as a vital strategy in the evolving landscape of pharmaceutical supply chains, underscoring its relevance for improving healthcare delivery and patient care.
The Effect of Investor Sentiment on Stock Returns: Evidence from a Frontier Market
Authors: Nawar Nousheen
Published: January 2025

The conventional theory of finance considers that
investors are rational and make informed investment
decisions and any change in pertinent risk is expected
to be the result of changes in fundamental factors.
However, the relationship between sentiment and
stock-return challenges the hypothesis of an efficient
market. This study is based on the theory of
behavioural finance, which explores the impact of
investor sentiment on the yearly stock returns of 141
companies listed on the Dhaka Stock Exchange (DSE)
from July 2017 to June 2021. Two distinct sentiment
dimensions are analysed, stock-specific investor
sentiment, measured by the change in trade volume
and market-wide sentiment, measured by the change
in the DSEX index. The regression model includes firm
characteristics variables: firm size (SIZE),
price-to-NAV ratio (PNAV), sale growth (SG), and
Earning Per Share (EPS) as well as macroeconomic
control variables: inflation rate (INF) and short-term
interest rate (INT). By employing a cluster random
effects regression model, it is observed that
stock-specific investor sentiment has a significant
positive influence on stock returns, while market-wide
sentiment does not. This effect persists even after
controlling for macroeconomic factors across firm
size, valuation, and growth. Hence, the empirical
outcomes imply that the optimistic investor sentiment
boosts stock returns whereas the pessimistic sentiment
of the investors has a reverse impact.
Importância da declaração de óbito precisa e bem documentada
Authors: Almeida Sheilla Karynna Macedo de , Souza Cicera Eduarda Almeida de , Malta Arlete do Monte Massela , Ortoni Gabriela Eiras , Appelt Filho Hustênio Abílio , Silva Joana Darc Ferreira da , Silva Luciano Cicero da , Silva Regirleide Pereira da , Martins Samuel Ribeiro , Machado Sergio Raimundo Ernesto
Published: January 2025

Introdução: Este estudo justifica-se pela sua relevância multifacetada, impactando diretamente a saúde pública, a justiça e o bem-estar familiar. Dados precisos sobre as causas de morte são essenciais para o desenvolvimento de políticas de saúde eficazes, direcionamento de recursos e prevenção de doenças. Além disso, uma documentação correta é crucial em investigações criminais e processos legais, assegurando que a justiça seja alcançada. Objetivo: Investigar através da literatura científica a importância da precisão e da documentação adequada nas declarações de óbito, identificando os principais fatores que contribuem para erros e omissões nesse processo. Metodologia: Foi realizada uma revisão sistemática da literatura, construída mediante um levantamento de dados nas bases: LILACS, SCIELO, PUBMED e BVS. Resultados e Discussões: Os resultados e discussões foram organizadas em três partes distintas. Inicialmente, foram abordados os fatores que levam a imprecisões nos registros de óbito, como a falta de capacitação dos profissionais de saúde e pressões sociais, seguidos por uma análise do impacto dessas imprecisões na saúde pública e nas políticas de saúde, incluindo alocação de recursos e vigilância epidemiológica. Por fim, foram discutidas diversas estratégias propostas para melhorar a qualidade dos registros de óbito, incluindo treinamento contínuo, padronização de procedimentos e adoção de tecnologias digitais, com exemplos de países que obtiveram sucesso na implementação dessas medidas. Essa estrutura permitiu uma análise abrangente e integrada dos desafios, impactos e soluções relacionadas à precisão das declarações de óbito. Conclusão: Os principais desfechos desta análise indicam que fatores como a falta de capacitação dos profissionais de saúde, a ausência de informações médicas completas, pressões sociais e familiares, e a inadequação dos sistemas de registro contribuem significativamente para erros nas declarações de óbito. A implementação de estratégias como treinamentos contínuos, padronização de formulários, adoção de tecnologias digitais e campanhas de conscientização mostrou-se eficaz em melhorar a precisão e a documentação das declarações de óbito, conforme evidenciado por estudos de caso em diferentes países.
AS INOVAÇÕES DA LEI 14.133/2021 NA CONDUÇÃO DAS LICITAÇÕES
Authors: Leão Gustavo Junqueira Carneiro , Mello Gustavo Moreira de , Souza Liz Stacy Silva , Santos Waldir Jorge Ladeira dos
Published: January 2025

O presente artigo aborda as mudanças promovidas pela nova legislação sobre licitações públicas no Brasil, substituindo as Leis 8.666/1993, 10.520/2002 (Pregão) e 12.462/2011 (Regime Diferenciado de Contratações). A Lei 14.133/2021 representa um marco importante ao consolidar em um único diploma normativo todas as diretrizes sobre licitações e contratos no setor público. Dentre as principais inovações, destaca-se a introdução de novas modalidades de licitação, como o "diálogo competitivo", que permite maior flexibilidade para a administração negociar soluções personalizadas com fornecedores. Também foram ampliados os critérios de julgamento das propostas, com a inclusão de elementos como o "maior retorno econômico" e o "melhor conteúdo artístico". A lei enfatiza a necessidade de um planejamento mais estruturado, obrigando órgãos públicos a elaborarem o Plano Anual de Contratações (PAC) e permitindo contratos de longa duração para garantir continuidade em serviços essenciais. Outro aspecto relevante é a diferenciação entre a Comissão de Licitação e o Agente de Contratação. A Comissão atua de forma colegiada, com responsabilidades compartilhadas entre seus membros, enquanto o Agente de Contratação é individualmente responsável pela condução de processos licitatórios e pela gestão do contrato, trazendo mais accountability ao processo. A lei também reforça e o controle social, promovendo a divulgação dos atos licitatórios e incentivando o uso de tecnologias, como a licitação eletrônica e a inteligência artificial, para monitorar irregularidades. Essas mudanças visam aumentar a eficiência, a transparência e a competitividade nas licitações públicas, com uma regulamentação que busca alinhar as contratações ao interesse público e garantir maior agilidade e controle.
IMPACTO DA IA NA PRODUTIVIDADE CIENTÍFICA: UMA REVISÃO SISTEMATIZADA
Authors: Figueiredo Francisco José Gonçalves , Marinho Davi Feitoza Pinto , Holanda Guilherme Cavalcante , Pinto Natália Bitu , Lira Rafaelle Cavalcante de , Assis Elisangela Vilar de , Nunes Marco Antônio Prado
Published: January 2025

Objetivo: realizar um levantamento bibliográfico sobre o uso e atribuição de coautoria às ferramentas de Inteligência Artificial na produção de artigos científicos e seus impactos na produtividade científica, sobretudo na área médica. Métodos: Trata-se de uma revisão sistematizada de literatura realizada nas bases de dados LILACS, PUBMED e Embase, por meio do cruzamento dos descritores “Inteligência Artificial”, “Escrita Científica” ou “Produtividade Científica” e “Coautoria”, nos idiomas português, inglês e espanhol. Resultados: A amostra final foi constituída por 27 artigos em que os autores destacaram pontos positivos, como criatividade, rapidez, correção gramatical, tradução de textos e análise de dados, pontos negativos, como referências falsas ou inexistentes, plágio e presença de viés, e questões éticas do uso de Inteligências Artificiais (IA’s) na escrita científica, a exemplo da segurança, transparência e igualdade acerca do conteúdo produzido. Os pesquisadores apresentaram pontos divergentes em relação ao uso da inteligência artificial com atribuição de coautoria a tais ferramentas: 12 foram a favor, quatro contra e 10 acreditam precisar de mais debates ou não comentaram em seus estudos. Conclusão: O uso de IAs na comunidade acadêmica é inevitável e está em crescimento, exigindo discussões sobre sua aplicação de forma ética, especialmente na área médica, onde diagnósticos e dados de pacientes são críticos. Desse modo, é necessário estabelecer critérios consensuais para seu uso, incluindo limites na elaboração de artigos e créditos acadêmicos. Embora as IAs tragam inúmeros benefícios, preocupações quanto à sua utilização e a definição de critérios de direitos autorais precisam ser abordadas para evitar prejuízos à comunidade científica e aproveitar o máximo potencial dessas tecnologias.
The Role of Radiology in Enhancing Surgical Precision and Outcomes
Authors: Farahani Amirmasoud
Published: January 2025

Advancements in imaging data analysis have profoundly impacted surgical practices, enhanced precision and improved patient outcomes. This review explores the diverse applications of imaging in surgery, including preoperative planning, intraoperative navigation, postoperative monitoring, and training simulations. Technologies such as CT, MRI, 3D reconstructions, augmented reality (AR), and artificial intelligence (AI) have enabled surgeons to perform more precise and safer interventions. Furthermore, the integration of these technologies with surgical workflows has significantly reduced complications and enhanced recovery processes. Future trends, such as personalized surgical approaches and AI-driven imaging solutions, are also discussed, highlighting their potential to shape the future of surgery.
Assessment of the Impact of Using Virtual Learning Environment (VLE) on a Teacher’sEngagement in Teaching
Authors: Dizon Kerrby , Montes Mel Benjamin , Hart Rubio Princes Chryslene , Samillano Ian Kyle , Tabayan Kyla , Villaflor Johnny , Visande Zyann
Published: January 2025

This research explores the impact of Virtual Learning Environments (VLEs) on teaching engagement, particularly focusing on instructorsof CICT department at the South East Asian Institute of Technology (SEAIT). It reveals that VLEs offer significant benefits, such as improved teaching flexibility, better organization, and enhanced engagement through tools like online assessments and multimedia resources. Teachers generally expressed confidence in using VLEs, citing features like progress tracking and resource sharing as critical to their instructional success. However, the study also uncovered challenges, including technical issues like system errors and slow performance, which disrupt teaching processes. These findings can inform the design of more efficient VLE system, fostering better teacher-student interaction and ultimately advancing the quality of education.
80The Role of User-Centered Design: Assessing the Effectiveness of Virtual Learning Environment (VLE) for BSIT Students
Authors: Frank Casumpang , Vilser Catabijan , Daynalyn Daque , Zyrus Pama.James , Michael Pineda.Jhon , Noemilyn Semeniego
Published: January 2025

This research explores the role of User-Centered Design (UCD) in assessing the effectiveness of aVirtual LearningEnvironment(VLE) for BSIT students. It examines how UCD principles impact usability, engagement, and satisfaction while addressingthechallenges of virtual learning. The study employs a descriptive research design with data collected through surveysof 200students across all year levels, focusing on usability, ease of use, and engagement. The findings reveal that incorporatingUCDprinciples significantly enhances the learning experience by improving system accessibility, engagement, andsatisfaction.However, it also identifies challenges, such as onboarding difficulties for first-year students and limited personalization. Theproposed VLE system integrates interactive learning modules, real-time feedback mechanisms, and adaptive learningpathways,emphasizing inclusivity and user-friendliness. This research underscores the transformative potential of UCDineducationaltechnology, offering actionable insights for improving VLEs to meet diverse learner needs. Future work shouldfocusonexpanding participant diversity, conducting longitudinal studies, and enhancing AI-driven personalization. The studycontributesto advancing Human-Computer Interaction (HCI) by emphasizing user-centric approaches in designing impactful learningplatforms.
Transfer Learning and AdvancedCNN Modelsfor Detecting Brain TumorsusingMRI
Authors: Abbasi Hossein
Published: January 2025

This paper explores the efficacy of three advanced deep convolutional neural network (CNN) models; DenseNet, MobileNet, and Xceptionin classifying brain tumors from MRI scans. Accurate detection and classification of brain tumors are critical for timely medical intervention, and recent advancements in deep learning offer promising tools for this task. We apply each model to a publicly available brain tumor dataset, evaluating their performance in terms of accuracy, sensitivity, specificity, and computational efficiency. Theexperiments utilizethe well-known Brain Tumor Classification dataset, consisting of 3264 MRI images categorized into glioma, meningioma, pituitary tumor, and non-tumor classes. The results demonstrate that each model has unique strengths, with DenseNet showing superior accuracy, MobileNet excelling in computational efficiency, and Xception achieving a balance of bothbut better than others. The Xception achieved the most suitable performance with an accuracy of 97.6%, sensitivity of 97.9%, precision of 98.5%, specificity of 97.2%, and an F1-score of 97.9%. These results show that Xception excels over other architectures, making it highly effective in classifying abnormal and normal tumors from brain MRI images.Our findings highlight the importance of model selection based on specific clinical requirements and computational constraints and suggest pathways for further research and optimization in medical image analysis.
FAKTOR FAKTOR YANG MEMPENGARUHI INNOVATIVE WORK BEHAVIOR PADA KARYAWAN INDUSTRI PERBANKAN BCA DI JAKARTA
Authors: Syarif Aqil Hibatullah  , Dita Oki Berliyanti
Published: January 2025

Penelitian ini bertujuan untuk menganalisis pengaruh ethical leadership terhadap innovative work behavior dengan mediasi psychological well-being dan psychological safety. Responden penelitian terdiri dari 125 karyawan Bank BCA di Jakarta, mayoritas perempuan berusia 24-34 tahun, berpendidikan terakhir S1, dengan masa kerja 1-5 tahun, dan sebagian besar bekerja di cabang di Jakarta Timur. Penelitian menguji tujuh hipotesis, di mana lima hipotesis didukung dan dua hipotesis tidak didukung. Hasil analisis menunjukkan bahwa ethical leadership memiliki pengaruh positif dan signifikan terhadap innovative work behavior serta psychological well-being. Namun, ethical leadership tidak memiliki pengaruh signifikan terhadap psychological safety. Selain itu, psychological well-being tidak menunjukkan pengaruh signifikan terhadap innovative work behavior dan tidak berperan sebagai mediator hubungan antara ethical leadership dan innovative work behavior. Sebaliknya, psychological safety tidak memiliki pengaruh langsung terhadap innovative work behavior tetapi berperan sebagai mediator penuh dalam hubungan antara ethical leadership dan innovative work behavior. Temuan ini menekankan pentingnya peran ethical leadership dalam mendorong perilaku kerja inovatif dengan memperhatikan aspek psychological safety di lingkungan kerja.
PENGARUH KEPUASAN KERJA DAN KOMITMEN KARYAWAN HOTEL BINTANG 3 DI JAKARTA
Authors: Wiradanu Aji Pamungkas  , Dita Oki Berliyanti
Published: January 2025

Penelitian ini bertujuan buat menganalisis dampak Human Resource Development Practices, Job Satisfaction, Employee engagment terhadap Organizational Commitment pada Hotel di Jakarta. Sampel yang digunakan dalam penelitian ini adalah sensus terhadap karyawan Hotel di Jakarta. Metode yang digunakan dalam penelitian ini adalah metode Samp dan AMOS. Hasil menunjukkan bahwa Human Resource Development Practices, Job Satisfaction, Employee engagment terhadap Organizational Commitment berpengaruh positif yang diolah dengan menggunakan SPSS versi 25. Implikasi bagi manajer SDM yaitu diharapkan dapat meningkatkan kinerja yang dilakukan oleh pemimpin untuk meningkatkan kualitas kepada karyawan.
Kindergarten Teachers’ Beliefs About Students’ Knowledge of Print Literacy and Parental Involvement in Children’s Print Literacy Development
Authors: Lynch Jacqueline
Published: January 2025

This research was an exploratory study in a large city in central Canada that examined kindergarten teachers’ beliefs about students’ knowledge of print literacy, as well as their beliefs about parental involvement with children in print literacy activities. The role of families’ socioeconomic status was examined in relation to teachers’ beliefs. Based on completed questionnaires, significant differences were found in teachers’ beliefs about aspects of children’s print literacy knowledge as well as in areas of parent-child print literacy involvement based on the SES of families. Findings from this research provide important insight into kindergarten teachers’ beliefs.
Characteristics of Effective School Principals: A Mixed-Research Study
Authors: Schulte Don P. , Slate John R. , Onwuegbuzie Anthony J.
Published: January 2025

In this multi-stage mixed analysis study, the views of 615 college students enrolled at two Hispanic-serving institutions in the Southwest were obtained concerning characteristics of effective school principals. Through the method of constant comparison (qualitative phase), 29 dominant themes were determined to be present in respondent-identified characteristics of effective school principals: Leader, Communication, Caring, Understanding, Knowledgeable, Fair, Works Well With Others, Listening, Service, Organized, Disciplinarian, Good Attitude, Patience, Respectful, Helping, Open-Mindedness, Motivating, Professional, Flexible, Being Visible, Honest, Good Role Model, Responsible, Builds Relationships, Involving, Consistent, Friendly, Focus on Schools, and Experience in the Classroom. An exploratory factor analysis revealed that these 29 themes represented five meta-themes. Then these themes (quantitative phase) were converted into numbers (i.e., quantitized) into an interrespondent matrix that consisted of a series of 1s and 0s and were analyzed to determine whether participants’ themes differed as a function of sex, ethnicity, college status, and first-generation/non-first-generation status. Statistically significant differences were present between undergraduate and graduate students, between males and females, between Hispanics and Whites, and between first-generation and non-first-generation college students. Implications are discussed.
Secured File Sharing Through Quantum Computing
Authors:   UG Students, Department of Computer Science and Engineering, PESITM, Shimoga, Nayaka Ms. Gagana G R , V Ananya , Kenchareddy Apeksha S , P Dhanushree S , S Praveen
Published: January 2025

- In present technology, Quantum computing plays a versatile role in data security and privacy. There are many methods for securing the data one of the methods is cryptography. File encryption and decryption become easier when the AES and RSA algorithms improve security. Also, file sharing through the AWS cloud and downloading from it have become more secure for storing data. Here we can add files into images with the help of Stenography. The comparison among the AES and RSA algorithms of performance speed, key size, and bit size is evaluated. In this paper, we proposed a framework for quantum key-based embedding and de-embedding of files and images where security and privacy are achieved. Access IBM server gives us Quantum processing units(QPUs) that are ibm_sherbrooke, ibm_kyiv, and ibm_brisbane. It requires a total of 127 Qubits and 30K CLOPS.

Keywords-AES, RSA, Cryptography, Stenography, AWS Cloud, IBM Server
The Impact of Artificial Intelligence on business operations
Authors: Karn Anand Kumar
Published: January 2025

Online learning or distance virtual learning has attracted a couple of gathering primarily due to the way that it licenses taking up guidance free of individual establishment and region. The essential purpose in giving tutoring is to help with additional fostering the learning consequences of the students. In any case, the course satisfaction rates for the online course programs are exceptionally low. In this endeavor, the central objective is forecast of student execution result. Prescient model would be made through a couple of examinations by applying different AI and data mining calculations explicitly KNN, Random woods, Gradient Boost, Multi Layer Perceptron brain organization model and RNN LSTM model. The dataset that would be used is Open University Learning Analytics Dataset (OULAD) which includes portion and snap stream data for the students. In the ongoing scene, technology has immensely advanced and the corporate regions have taken on late techniques for proceeding with bargains. Through mechanical progress, affiliations and corporate establishments have had the choice to exploit current calculations that have broadly additionally fostered how organizations are coordinated. Artificial Intelligence and AI propels have immensely additionally fostered the calculations used in business dynamic. Headways like the use of distributed computing, and the gigantic data have been exploited commonly in making corporate affiliation and adventures achieve set targets. Further the calculations have additionally fostered the gadgets used in data mining, assessment and reporting making organizations process clear and strong. Data mining instruments have made it functional for relationship to exploit the enormous data space to make more instructed decisions. This has added to progress of the customary usage of data and assessment chipping away at the cheating to better business displays.
Detection Of DDOS Attack Using Machine Learning
Authors:   1Information Science and Engineering & J N N College of Engineering, H K Pradeep , Kumar Pavan , A J , Pradeepa , S Prashantha , Khan Saad Faisal
Published: January 2025

- The Distributed Denial-of-Service (DDoS) attack is one of the most dangerous cyber threats, surpassing traditional Denial-of-Service (DoS) attacks due to its distributed nature, where multiple hosts collectively target a system, rendering its services inaccessible. Addressing this challenge requires an advanced and reliable detection mechanism. This research presents a machine learning-based approach for DDoS attack detection using Logistic Regression, Random Forest, and Neural Network classifiers. The proposed model is trained on a cleaned and pre-processed dataset with feature scaling to enhance model performance. A Flask-based web application deploys these models, enabling real-time prediction through a user-friendly interface. The trained models are evaluated using key metrics such as accuracy, F1-score, precision, recall, and confusion matrix. Comparative analysis reveals the strengths of ensemble-based methods, offering a scalable and robust solution for mitigating DDoS attacks in real-world environments.

Key Words: Cyber Attack, DDOS Attack, Logistic Regression, Neural Network, Random Forest Algorithm.