bluuebunny/crossref_metadata_2025 huggingface dataset:
Real-Time Quantification of Gas Leaks Using a Snapshot Infrared Spectral Imager
Authors: Hagen Nathan
Published: January 2025

We describe the various steps of a gas imaging algorithm developed for detecting, identifying, and quantifying gas leaks using data from a snapshot infrared spectral imager. The spectral video stream delivered by the hardware allows the system to combine spatial, spectral, and temporal correlations into the gas detection algorithm, which significantly improves its measurement sensitivity in comparison to non-spectral video, and also in comparison to scanning spectral imaging. After describing the special calibration needs of the hardware, we show how to regularize the gas detection/identification for optimal performance, provide example SNR spectral images, and discuss the effects of humidity and absorption nonlinearity on detection and quantification.
Talk About Crime Among Young People in Northern Mexico: The Impact of Drug Trafficking in the Neighborhood
Authors: Almanza Avendaño Ariagor Manuel , Romero-Mendoza Martha , Gómez San Luis Anel Hortensia
Published: January 2025

This study seeks to understand, through their talk about crime, the meaning that young people in northern Mexico give to the presence of drug trafficking in their communities, its interrelation with other crimes, and the psychosocial impact on their daily lives. A total of 48 group interviews were carried out with young people in junior high, high school, and universities and analyzed for thematic content using MAXQDA 20 software. The main changes pointed out by the young people were the intensification of insecurity, the expansion of drug dealing in the community, mental health problems (especially addictions), the restriction of mobility on the streets, and changes in the relationship with security institutions. They also refer to changes such as the normalization of drug trafficking and the decline of the neighborhood’s image.
Digital Intervention for Advancing Social Work and Welfare Education
Authors: Russ Erica , Reimer Elizabeth Claire
Published: January 2025

The Editors are delighted to introduce this Special Issue of Social Sciences, which focuses on the application of technology and digital interventions in social work and community welfare teaching [...]
Symmetric and Asymmetric Expansion of the Weibull Distribution: Features and Applications to Complete, Upper Record, and Type-II Right-Censored Data
Authors: El-Morshedy Mahmoud , El-Dawoody M. , El-Faheem Adel A.
Published: January 2025

This paper introduces a new continuous lifetime model called the Odd Flexible Weibull-Weibull (OFW-W) distribution, which features three parameters. The new model is capable of modeling both symmetric and asymmetric datasets, regardless of whether they are positively or negatively skewed. Its hazard rate functions can exhibit various behaviors, including increasing, decreasing, unimodal, or bathtub-shaped. The key characteristics of the OFW-W model are discussed, including the quantile function, median, reliability and hazard rate functions, kurtosis and skewness, mean waiting (residual) lifetimes, moments, and entropies. The unknown parameters of the model are estimated using eight different techniques. A comprehensive simulation study evaluates the performance of these estimators based on bias, mean squared error (MSE), and mean relative error (MRE). The practical usefulness of the OFW-W distribution is demonstrated through four real datasets from the fields of engineering and medicine, including complete data, upper record data, and type-II right-censored data. Comparisons with five other lifetime distributions reveal that the OFW-W model exhibits superior flexibility and capability in fitting various data types, highlighting its advantages and improvements. In conclusion, we anticipate that the OFW-W model will prove valuable in various applications, including human health, environmental studies, reliability theory, actuarial science, and medical sciences, among others.
Second-Order Kinematic Invariants for the Design of Compliant Auxetic Symmetrical Structures
Authors: Cirelli Marco , Autiero Matteo , D’Angelo Luca , Valentini Pier Paolo
Published: January 2025

Auxetic structures have great potential in modern engineering, and their design represents an emerging field in industrial applications. The accurate synthesis of the elements of such structures requires multidisciplinary approaches that combine kinematics and structural mechanics. Design methodologies are often based on complex time-consuming numerical methods and with considerable computational burden for exploring a large set of alternatives. The aim of the present work is to propose a novel method for designing symmetrical auxetic structures based on the use of pseudo-rigid mechanisms that can reproduce their nonlinear elasto-kinematic behavior with a limited set of parameters. For the definition of these pseudo-rigid mechanisms, the theory of kinematic invariants is proposed. It allows for the deduction of surrogate rigid-link mechanisms with a simpler structure but remarkable accuracy. This approach is an emerging method employed in the generic synthesis and analysis of compliant mechanisms, and, in this study, it is extended for the first time to support the design of auxetic structures. This paper describes the analytical process to deduce the design equations and discusses the example of an application to a symmetrical re-entrant structure, comparing the results with those of a numerical flexible multibody model, a finite element model, and with experimental tests. All the comparisons demonstrate the considerable potential of the proposed methodology, which can also be adapted to other types of auxetic structures.
On the Horizontal Divergence Asymmetry in the Gulf of Mexico
Authors: Zhou Tianshu , Xie Jin-Han , Balwada Dhruv
Published: January 2025

Due to the geostrophic balance, horizontal divergence-free is often assumed when analyzing large-scale oceanic flows. However, the geostrophic balance is a leading-order approximation. We investigate the statistical feature of weak horizontal compressibility in the Gulf of Mexico by analyzing drifter data (the Grand LAgrangian Deployment (GLAD) experiment and the LAgrangian Submesoscale ExpeRiment (LASER)) based on the asymptotic probability density function of the angle between velocity and acceleration difference vectors in a strain-dominant model. The results reveal a notable divergence at scales between 10 km and 300 km, which is stronger in winter (LASER) than in summer (GLAD). We conjecture that the divergence is induced by wind stress with its curl parallel to the Earth’s rotation.
Elliptic and Quadrangular Flow of Protons in the High-Baryon-Density Region
Authors: Lan Shaowei , Liu Zuowen , Liu Like , Shi Shusu
Published: January 2025

The collective flow provides valuable insights into the anisotropic expansion of particles produced in heavy-ion collisions and is sensitive to the equation of the state of nuclear matter in high-baryon-density regions. In this paper, we use the hadronic transport model SMASH to investigate the elliptic flow (v2), quadrangular flow (v4), and their ratio (v4/v22) in Au+Au collisions at high baryon density. Our results show that the inclusion of baryonic mean-field potential in the model successfully reproduces experimental data from the HADES experiment, indicating that baryonic interactions play an important role in shaping anisotropic flow. In addition to comparing the transverse momentum (pT), rapidity, and centrality dependence of v4/v22 between HADES data and model calculations, we also explore its time evolution and energy dependence across sNN= 2.4 to 4.5 GeV. While the ratio v4/v22 for high-pT particles approaches 0.5, which aligns with expectations from hydrodynamic behavior, we emphasize that this result primarily reflects agreement with the HADES measurements rather than a definitive indication of ideal fluid behavior. These findings contribute to understanding the early-stage dynamics in heavy-ion collisions at high baryon density.
High-Throughput Oxford Nanopore Sequencing Unveils Complex Viral Population in Kansas Wheat: Implications for Sustainable Virus Management
Authors: Ranabhat Nar B. , Fellers John P. , Bruce Myron A. , Rupp Jessica L. Shoup
Published: January 2025

Wheat viruses are major yield-reducing factors, with mixed infections causing substantial economic losses. Determining field virus populations is crucial for effective management and developing virus-resistant cultivars. This study utilized the high-throughput Oxford Nanopore sequencing technique (ONT) to characterize wheat viral populations in major wheat-growing counties of Kansas from 2019 to 2021. Wheat leaves exhibiting virus-like symptoms were collected, total RNA was extracted, and cDNA libraries were prepared using a PCR-cDNA barcoding kit, then loaded onto ONT MinION flow cells. Sequencing reads aligned with cereal virus references identified eight wheat virus species. Tritimovirus tritici (wheat streak mosaic virus, WSMV), Poacevirus tritici (Triticum mosaic virus, TriMV), Bromovirus BMV (brome mosaic virus, BMV), as well as Emaravirus tritici, Luteovirus pavhordei, L. sgvhordei, Bymovirus tritici, and Furovirus tritici. Mixed infections involving two to five viruses in a single sample were common, with the most prevalent being WSMV + TriMV at 16.7% and WSMV + TriMV + BMV at 11.9%. Phylogenetic analysis revealed a wide distribution of WSMV isolates, including European and recombinant variants. A phylogenetic analysis of Emaravirus tritici based on RNA 3A and 3B segments and whole-genome characterization of Furovirus tritici were also conducted. These findings advance understanding of genetic variability, phylogenetics, and viral co-infections, supporting the development of sustainable management practices through host genetic resistance.
Screening of Insertion Sites and Tags on EV-A71 VP1 Protein for Recombinant Virus Construction
Authors: Kang Miaomiao , Li Xiangyi , Li Xiaohong , Yu Rui , Zhang Shuo , Yan Jingjing , Zhang Xiaoyan , Xu Jianqing , Ma Buyong , Zhang Shuye
Published: January 2025

This study aimed to create a new recombinant virus by modifying the EV-A71 capsid protein, serving as a useful tool and model for studying human Enteroviruses. We developed a new screening method using EV-A71 pseudovirus particles to systematically identify suitable insertion sites and tag types in the VP1 capsid protein. The pseudovirus’s infectivity and replication can be assessed by measuring postinfection luciferase signals. We reported that the site after the 100th amino acid within the VP1 BC loop of EV-A71 is particularly permissive for the insertion of various tags. Notably, the introduction of S and V5 tags at this position had minimal effect on the fitness of the tagged pseudovirus. Furthermore, recombinant infectious EV-A71 strains tagged with S and V5 epitopes were successfully rescued, and the stability of these tags was verified. Computational analysis suggested that viable insertions should be compatible with capsid assembly and receptor binding, whereas non-viable insertions could potentially disrupt the capsid’s binding with heparan sulfate. We expect the tagged recombinant EV-A71 to be a useful tool for studying the various stages of the enterovirus life cycle and for virus purification, immunoprecipitation, and research in immunology and vaccine development. Furthermore, this study serves as a proof of principle and may help develop similar tags in enteroviruses, for which there are fewer available tools.
A Modeling Framework to Estimate the Transport and Fate of Mercury in Nationwide Surface Waters
Authors: Correa-Caselles Daniela , Camacho Luis A. , Fernandez Nicolas
Published: January 2025

The use of mercury in gold mining, as well as the presence of uncontrolled and illegal releases to the environment, continues to create severe pollution and public health risks for over 14 million people worldwide, particularly in developing countries. This study presents a modeling framework to estimate the fate and transport of mercury on a national-scale river network, where a physical-based conceptual model is implemented. Using the model, mercury concentrations are estimated for every river segment in the network, serving as a tool for effective management and control nationwide, enabling establishing intervention priorities. To test the framework’s suitability, it was applied to Colombia’s river network, a country with documented mercury pollution issues from gold mining. Results revealed persistent concentrations above 0.001 µg/L in all major basins, and concentrations close to 7 µg/L in active mining areas. The release of nearly 300 mines led to the contamination of river distance between 50 and 285 km downstream, exceeding local drinking water standards. The model results were validated with mercury concentration data of available studies in the country, showing small deviations between modeled and measured concentrations (<0.95 µg/L), confirming the robustness and suitability of the proposed framework as a screening assessment for national-scale mercury transport and fate.
Holistic Assessment of Social, Environmental and Economic Impacts of Pipe Breaks: The Case Study of Vancouver
Authors: Sinaei Armine , Dziedzic Rebecca , Creaco Enrico
Published: January 2025

This paper presents a holistic assessment framework for the impacts of water distribution pipe breaks to promote environmentally sustainable and socially resilient cities. This framework considers social, environmental, and economic vulnerabilities as well as probabilities associated with pipe failure. The integration of these features provides a comprehensive approach to understanding infrastructure risks. Taking the city of Vancouver as a case study, the social vulnerability index (SVI) is obtained following the application of a cross-correlation matrix and principal component analysis (PCA) to identify the most influential among 33 selected variables from the 2021 census of the Canadian population. The Environmental Vulnerability Index (EVI) is evaluated by considering the park and floodplain areas. The Economic Vulnerability Index (ECI) is derived from the replacement cost of pipes. These indices offer valuable insights into the spatial distribution of vulnerabilities (consequences) across urban areas. Subsequently, the Consequence of Failure (COF) is computed by aggregating the three vulnerabilities with equal weights. Pipe probability of failure (POF) is evaluated by a Weibull model calibrated on real break data as a function of pipe age. This approach enables a dynamic evaluation of pipe deterioration over time. Risk is finally assessed by combining COF and POF for prioritizing pipe replacement and rehabilitation, with the final objective of mitigating the adverse impacts of infrastructure failure. The findings show the significant impact of ethnicity, socioeconomic indices, and education on the social vulnerability index. Moreover, the areas close to English Bay and Fraser River are more environmentally vulnerable. The pipes with high economic vulnerability are primarily concrete pipes, due to their expensive replacement costs. Finally, the risk framework resulting from the vulnerabilities and pipe break probabilities is used to rank the Vancouver City water distribution network pipes. This ranking system highlights critical areas requiring different levels of attention for infrastructure improvements. All the pipes and corresponding risks are illustrated in Vancouver maps, highlighting that the pipes associated with a very high level of risk are mostly in the south and north of Vancouver.
Towards Sustainable Municipal Solid Waste Management: An SDG-Based Sustainability Assessment Methodology for Innovations in Sub-Saharan Africa
Authors: Weißert Julia , Henzler Kristina , Kassahun Shimelis Kebede
Published: January 2025

In sub-Saharan Africa, municipal solid waste management faces significant challenges, including inadequate infrastructure, increasing waste generation, and limited resources, leading to severe environmental and public health issues. Innovations in waste management are essential to address these pressing problems, as they can enhance efficiency, reduce pollution, and promote sustainable practices while fostering sustainable development. To select sustainable and contextually relevant solutions, it is vital to investigate their potential sustainability impacts based on the Sustainable Development Goals (SDGs) beforehand and to involve local stakeholders in the innovation process. Besides, engaging stakeholders increases community buy-in and fosters collaboration, leading to more effective and sustainable outcomes. This paper develops and applies a sustainability assessment methodology for innovations in municipal solid waste management systems in sub-Saharan Africa, with a case study in Ethiopia. The proposed methodology emphasizes the importance of involving local stakeholders in the SDG-based indicator assessment and offers suggestions for a data collection strategy. The case study on a composting process in Bishoftu Town demonstrates that stakeholder participation in selecting innovations positively influences the outcomes. However, the analysis indicates mixed effects of the innovation in the three sustainability dimensions, highlighting areas for optimization. Consequently, the presented method can support the innovation process of municipal solid waste management systems, fostering sustainable municipal development.
Ligation of the intersphincteric fistula tract (LIFT) for high transsphincteric fistulas: a double-center retrospective study with long-term follow-up
Authors: Zhang Leichang , Zhan Chuanyu , Li Lu , Shao Wanjin , Sun Guidong , Chen Yugen , Chen Guanghua , Lang Yulei , Xiao Zenghua , Xiao Xiao
Published: January 2025

Purpose: This study aimed to evaluate the long-term efficacy of the ligation of the intersphincteric fistula tract (LIFT) procedure in treating high transsphincteric fistulas.Methods: We conducted a retrospective study to evaluate the success rate of LIFT treatment in 82 patients with high transsphincteric fistulas involving at least one-third of the external sphincter. This study was carried out across 2 centers from November 2009 to February 2023.Results: All patients underwent successful surgery with a median operative time of 48.9 minutes (range, 20–80 minutes), and no intraoperative or postoperative complications were reported. The median follow-up duration was 85.5 months (range, 4–120 months), with 5 patients (6.1%) lost to follow-up. Treatment was successful in 62 patients, whose symptoms disappeared and both the external opening and the intersphincteric incision completely healed, yielding an overall efficiency rate of 80.5%. There were 15 cases (19.5%) of treatment failure, including 6 (7.8%) that converted to intersphincteric anal fistula and 9 (11.7%) that experienced persistent or recurrent fistulas. Only 1 patient reported minor overflow during the postoperative follow-up, but no other patients reported any significant discomfort. There were no statistically significant differences between patients with surgical success and those with treatment failure in terms of fistula length, history of previous abscess or anal fistula surgery, number of external orifices or fistulas, and location of fistulas (all P>0.05).Conclusion: LIFT is a safe and effective sphincter-preserving procedure that yields satisfactory healing outcomes and has minimal impact on anal function.
A abordagem ágil aplicada na Gestão de Programas: estudo de caso em empresa multinacional
Authors: Maschi Valerio Fernandes Del , Zaguir Nemer Alberto
Published: January 2025

As gestões de programas têm sido adotadas para apoiar a gestão de múltiplos projetos compartilhando recursos como um meio de vinculação das estratégias organizacionais na busca da realização de benefícios.  Todavia existem diversas formas para se atingir esse objetivo. Esse artigo discute a gestão de programas com abordagem ágil, através de um estudo de caso, em um centro de serviços compartilhados em uma empresa multinacional. Como resultado apresenta-se como os mecanismos de gestão dos stakeholders e da comunicação podem ser utilizados como fatores de eficácia nessa vinculação e as oportunidades de aprimoramento que emergem no uso das abordagens ágeis na gestão de programas.
Análise comparativa entre a incidência de meningite na Amazônia Legal e demais regiões do Brasil
Authors: Sena Rafael Lopes de , Schuch Karolina Lemos , Rezende Estella Ramos , Brilhante Mayara Araújo , Scalioni Aline Marques Barreto , Bordinassi Carolina Lopes , Cau Natália Modenesio , Dumani Gabriela Hernandez
Published: January 2025

Objetivos: Este estudo analisou a incidência de meningite na Amazônia Legal em comparação com as demais regiões do Brasil entre 2014 e 2024, ajustando os dados pela densidade populacional. Métodos: Estudo epidemiológico transversal, baseado em dados secundários do Sistema de Informação de Agravos de Notificação, obtidos pelo Tabnet, analisando casos confirmados de meningite entre 2014 e 2024. A incidência foi comparada entre a Amazônia Legal e outras regiões do Brasil, considerando ajustes pela densidade populacional. Resultados: Foram notificados 148 979 casos de meningite no Brasil. A maior parte ocorreu na região Sudeste (53,7%), enquanto a Amazônia Legal contribuiu com 6,6% dos casos, apesar de cobrir 59,73% do território nacional. A média de casos por 100 mil habitantes na Amazônia Legal foi de 35,6, inferior à média nacional de 79,4. O Pará foi o estado da Amazônia com maior número de casos (3 976), seguido pelo Amazonas (1 565). A faixa etária mais afetada foi a de 20-39 anos. Conclusão: A baixa incidência de meningite na Amazônia Legal reflete desafios no acesso à saúde e possíveis subnotificações, destacando a necessidade de melhorias nas condições de saúde pública e infraestrutura, além de uma atenção especial à vigilância epidemiológica nessa região vulnerável.
Desenvolvimento sustentável e exercício físico: uma revisão integrativa
Authors: Junior Wellington Rui Andrade de Assis
Published: January 2025

Este estudo investiga a relação entre desenvolvimento sustentável e atividade física, ressaltando a importância dos espaços públicos, como praças e parques, para o bem-estar e a prática de exercícios. A crescente urbanização e os desafios ambientais, agravados pelas mudanças climáticas, impactam a saúde da população, resultando em aumento de sobrepeso, obesidade e doenças crônicas, especialmente em grupos vulneráveis, como crianças e idosos. A análise indica que a disponibilidade de áreas verdes está relacionada à redução da violência e ao aumento da atividade física, evidenciando a necessidade de políticas públicas integradas que considerem aspectos sociais, econômicos e culturais. A poluição do ar, especialmente o material particulado, representa um problema sério que afeta desproporcionalmente as populações vulneráveis, exigindo intervenções para melhorar a qualidade do ar e o acesso a ambientes saudáveis. Este estudo utilizou uma Revisão Integrativa da Literatura, conforme as fases metodológicas de Souza et al. (2010), focando em publicações de 2022 a 2024. A busca foi realizada nas bases de dados Google Scholar, LILACS, MEDLINE, PubMed, Scielo e ScienceDirect, resultando em 2.563.608 registros, dos quais 31 estudos foram selecionados. O manuscrito enfatiza a importância dos espaços públicos na promoção da saúde, destacando sua correlação com a redução da violência e o aumento da atividade física. Futuras pesquisas devem explorar a interseção entre sustentabilidade e atividade física, incluindo intervenções baseadas na natureza e tecnologias, como a realidade virtual, para promover hábitos saudáveis em ambientes urbanos.
Evolution of Biological Hydroxyapatite Modification Strategy: Anti-Inflammation Approach Rescues the Calcium–NOD-Like Receptor–Inflammation Axis-Mediated Periodontal Redevelopment Failure
Authors: Zhou Xuan , Xue Junlong , Zhang Yanshu , Xia Ruidi , Shan Zhengjie , Zhang Linjun , Gui Mixiao , Liu Guanqi , Chen Zetao
Published: January 2025

Periodontal regenerative medicine is currently undergoing a paradigm shift from dissecting the healing process toward utilization of the developmental program. Biological hydroxyapatite (BHA), a major component of guided tissue regeneration, has long been optimized for inducing multidirectional differentiation of periodontal ligament cells (PDLCs). However, this approach runs counter to the redevelopment strategy. Thus, the conventional BHA should evolve to induce the redevelopment process of periodontal tissue. In this study, histopathological changes and immune microenvironment characteristics of the periodontal developmental process, natural healing process (Blank group), and BHA-mediated healing process (BHA group) were compared to evaluate the main manifestations of BHA-mediated periodontal “developmental engineering” outcome. Our results suggested that neither the Blank nor BHA group could recur key events in periodontal development. The implantation of BHA led to pro-inflammatory immune microenvironment and an unstable blood fibrin clot structure, which facilitated the invasion of outer gingival fibroblasts, consequently disrupting redevelopmental events. High-throughput chip technology was further used to explore the underlying mechanism of immune activation, revealing that the calcium–NOD-like receptor–inflammation axis signaling axis promoted the activation of pro-inflammatory immune response that contributed to redevelopment failure. An immunomodulatory cytokine interleukin 4 (IL4)-modified BHA was used to further validate the efficacy of developmental engineering strategy. IL4 could partially rescued the redevelopment failure through immunosuppression. This study presented an innovative strategy for the development of advanced periodontal regenerative materials and offered a potential approach for the application of development-inspired periodontal tissue engineering strategies. It represented a marked advancement in the development of regenerative medicine and propelled the clinical organ restoration forward.
Inconsistent Diurnal Patterns of Far-Red Solar-Induced Chlorophyll Fluorescence Retrieved with Different Algorithms from Tower-Based Observations
Authors: Liu Xinjie , Liu Liangyun , Du Shanshan , Qi Mengjia
Published: January 2025

Tower-based solar-induced chlorophyll fluorescence (SIF) measurements have yielded crucial datasets for investigating the diurnal patterns of SIF and its relationship with vegetation photosynthesis. This study assessed the performance of 3 distinct SIF retrieval algorithms, including band shape fitting (BSF), 3-band Fraunhofer line discrimination (3FLD), and a data-driven approach based on singular vector decomposition (SVD), for retrieving far-red SIF diurnal patterns from tower-based observations at the 2 flux sites in China. This study analyzed diurnal patterns of SIF and SIF yield, as well as correlations between SIF, near-infrared radiance reflected by vegetation (NIRvR), and gross primary productivity (GPP) at diurnal and seasonal scales. More pronounced inconsistencies in retrieved SIF by different algorithms at noon compared with the morning and afternoon were observed. Similarly, correlations between the SIF and NIRvR or GPP are weaker during midday. This study underscores the need to consider the reliability of SIF data when investigating diurnal patterns, and the necessity for developments in tower-based SIF retrieval algorithms.
AI-powered Insights: Strengthening Nonprofit Communication through Neuromarketing
Authors: Beličková Patrícia
Published: January 2025

Artificial intelligence’s potential in neuromarketing offers transformative opportunities for nonprofit organizations by enabling the analysis of vast, complex data sets and delivering real-time insights that exceed human capabilities. For nonprofits, Artificial intelligence (AI) enhances communication strategies by automating data analysis, audience segmentation, and campaign optimization, making it possible to craft highly personalized and emotionally resonant messages. By leveraging AI, nonprofit leaders can tailor their outreach strategies based on supporters’ emotional responses, preferences, and behaviors, fostering stronger connections, increased engagement, and greater alignment with their mission. This paper explores the integration of AI into neuromarketing research to improve communication strategies specifically within the nonprofit sector. Neuromarketing, which studies neural and biometric data such as EEG and fMRI, traditionally measures emotional and cognitive reactions to assess the effectiveness of campaigns. Incorporating AI enhances this process by bringing precision and efficiency, allowing nonprofit organizations to better understand and respond to emotional triggers and audience preferences. The paper identifies three key areas where AI integration benefits nonprofit communication strategies: emotion recognition through AI-driven software, AI-enhanced eyetracking for visual engagement analysis, and deep learning models that process neural data to uncover subconscious audience preferences. These tools enable nonprofits to design campaigns that resonate deeply with donors, volunteers, and beneficiaries, thereby amplifying their social impact and advancing their missions.
Radio Plays: Reduction of the Human, Expansion of the Artificial Intelligence
Authors: Belková Zuzana , Hudíková Zora
Published: January 2025

The psychologically sophisticated story of three sisters is set during a covid pandemic. The author explores the individual survival of each of them. Each of them lives as if alone in their own world: they communicate via mobile phones, skype or other means. Human authenticity is reduced, replaced by artificial emotions and superficiality of communication. The creators deliberately work with indeterminacy, the loneliness of the characters is relativized. An interesting phenomenon is mutual emotional blackmail. Technology supports it more than face-to-face communication. In covid’s solitude, the characters bolster their egos by deceiving their surroundings, but they deceive themselves. An explicit intervention, highlighting the artificial construct of emotion for the purposes of communication through technology, is the newly developed artificial intelligence. It enters into the action, commenting on it in its own way and, above all, distorting reality and adding a grotesque dimension to the whole. The authorial practices analysed are reflected upon with regard to the sensitivity of the interface between the human and the artificial, the authentic and the pretended, the serious and the grotesque, and the original and the programmatically acted.
Creativity in Marketing Communication: AI-generated Design and Text vs. Human Factor
Authors: Černáková Aneta , Comová Jana
Published: January 2025

This study aims to explore respondents’ preferences when evaluating creative practices in marketing communication, focusing on the comparison of book cover designs and texts created by humans and those generated by artificial intelligence (AI). The research includes identifying how respondents perceive the aesthetics and authenticity of individual book covers, while also mapping situations in which AI-generated content is seen as problematic. AI demonstrates the ability to produce highly optimized content tailored for specific target audiences, communication channels, and current trends, making it a valuable tool in marketing communication. Despite these qualities enhancing its efficiency, fundamental challenges remain, such as the risk of generating monotonous, inauthentic, or stereotypical content. This study explores the authenticity and aesthetics of book covers in the context of respondent evaluations.
Scientographic Analysis of Marketing Content Creation through AI
Authors: Kubovics Michal
Published: January 2025

This research examines how artificial intelligence (AI) is incorporated in marketing content creation by analyzing 109 articles from the Web of Science database. The examination shows that AI-driven marketing is interdisciplinary and global, with notable inputs from India, the USA, and England. Important topics include generative AI, machine learning, and predictive analytics, emphasizing how AI plays a transformative role in automating tasks, customizing content, and improving effectiveness. Identified as crucial obstacles, ethical issues like algorithmic bias, data privacy, and authenticity underscore the significance of AI practices that are transparent and culturally adjustable. The results highlight AI’s capacity to revolutionize advertising methods, but also stress the importance of ongoing ethical monitoring and research to tackle new obstacles. This research lays the groundwork for furthering the incorporation of AI into marketing and consumer behavior studies.
Artificial Reality in Advertising: A Case Study of the #Levelupyourlife Campaign
Authors: Mago Zdenko
Published: January 2025

The utilisation of artificial reality in advertising is not a newly emerging concept. However, while previously such a format was employed at a presentation level to portray companies and brands in a manner that reflected modernity and innovation, the current tools of digital game design and generative AI have initiated a shift in this approach. These tools are now being applied to the production of advertising content, which can even include bespoke design elements inspired by the visual style of advanced 3D digital games. This study aims to reflect on the shift in the use of artificial reality in advertising from presentational appeal or endorsement to generating content related to digital game design. This shift is demonstrated by a case study of the #LevelUpYourLife communication campaign from Česká spořitelna.
As contribuições da formação em serviço do secretário escolar e/ou assistente administrativo educacional das escolas municipais de São Miguel dos Campos, Alagoas
Authors: Silva Gleber Glaucio do Nascimento Soares da , Santos Álvaro Leiva dos , Rocha Cristiane de Castro Laranjeira , Dantas Jussara Vieira de Sá , Verçosa Mary Hélida Correia
Published: January 2025

O Secretário Escolar e/ou Assistente Administrativo Educacional é um profissional fundamental para o bom andamento das práxis administrativas e educacionais das instituições de ensino e por este motivo que é exigido conhecimentos que vão além de técnicas de secretaria escolar. Esta pesquisa aborda a atuação dos Secretários Escolares e/os Assistentes Administrativos Educacionais da rede municipal de ensino do município de São Miguel dos Campos, Alagoas e teve como objetivo analisar as contribuições da formação em serviço para o desenvolvimento das atividades. A pesquisa teve abordagem quanti-qualitativa e desenvolveu-se um levantamento bibliográfico, e um levantamento de campo. A metodologia utilizada foi o estudo de caso que permite ao pesquisador investigar um fenômeno em profundidade dentro do contexto real. Para a coleta de dados utilizou-se como instrumento um questionário aplicado a sessenta e um (61) Secretários Escolares e Assistentes Administrativos Educacionais que atuam nas instituições de ensino. A análise da amostra de resultados dos questionários aplicados foi feitos através de tabulação simples, dispostos em uma planilha editada no programa Excel, a fim de mostrar os dados e organizá-los conforme os gráficos detalhados nesta pesquisa. Conclui-se, portanto, que a formação em serviço, traz contribuições para as atividades do Secretário Escolar e/ou Assistente Administrativo Educacional, otimizando assim o seu desempenho profissional, além de capacitá- lo para exercer novas funções.
Perfil dos alunos do curso “Sementes: Biologia, Jardinagem e Folclore” da Escola Municipal de Jardinagem (EMJ) da Secretaria do Verde e do Meio Ambiente (SVMA) da Prefeitura do Municipio de São Paulo (PMSP)
Authors: Silva Linda Lacerda da , Brischi Ana Maria , Beloni Thiago , Roncatti Nicolle W
Published: January 2025

O Curso de Sementes aborda a história da humanidade e das plantas; flores, dispersão, fisiologia de frutos e sementes; técnicas de coleta, processamento e quebra de dormência; produção de sementes e grãos e armazenamento em bancos de sementes. Também aborda o melhoramento genético e a biossegurança, a legislação e o papel das sementes na nutrição. Foram ministradas aulas teóricas e práticas, algumas com realização de experimentos de germinação e de quebra de dormência. O objetivo foi analisar o perfil dos alunos da 6ª edição do Curso Sementes. Aplicaram-se questionárioss estruturados e abertos e resultados expressos em percenturais e descritivamente. A maior parte dos alunos concluintes era proveniente da Zona Sul da cidade de São Paulo (32 %) , faixa etária ampla de 26 a 60 anos e com a predominância de mulheres (56%).Com relação ao contéudo programático do curso 56% avaliaram a dinâmica do curso e materiais de apoio como “excelente” (nota 5). A maior parte dos alunos (40%) escolheu fazer o curso por razões pessoais.Resultados semelhantes foram encontrados na literatura, em cursos de paisagismo, em relação ao maior número de mulheres participantes, à ampla faixa etária e às motivações predominantemente pessoais para a matrícula no curso. O curso atingiu com sucesso seus objetivos.
Marker-assisted selection (MAS) in the fish genetic improvement
Authors: Taipe María Verónica Taipe , Hidrovo Carlos Alberto Molina , Lectong Julio Rafael Gilces , Clavijo Angélica Carolina Macías
Published: January 2025

The purpose of genetic improvement must be defined for each species and for each population. In general, all economically important characteristics should be included in the breeding objective. Marker-assisted genetic improvement constitutes a feasible solution to the problem. The objective of this review was to know the state of the art of genes related to characters of productive interest, which allow marker-assisted selection (MAS) in the genetic improvement of fish. A documentary-type investigation was carried out in which a review of the state of the art was followed through the critical reading of documents and bibliographic materials of different kinds. The review was emphasized in three types of genes, those for resistance to diseases, the determinants of sex and those for growth hormones and finally the analysis of DNA by microsatellite, all of this in order to identify the genetic factors associated with characters. of productive interest, in this way it is easier to select animals to improve productivity and animal well-being. In conclusion, marker-assisted selection has high potential in breeding programs by reducing the intervals between generations by selecting individuals in very early stages of development.
Scheduling using Convolutional Neural Network in GPU environment
Authors: Świtalski Piotr , Siwiak Karolina
Published: January 2025

Graphics processing units (GPU) have become the foundation of artificial intelligence. Machine learning was slow, inaccurate, and inadequate for many of today’s applications. The inclusion and utilization of GPUs made a remarkable difference in large neural networks. The numerous core processors on a GPU allow machine learning engineers to train complex models using many files relatively quickly. The ability to rapidly perform multiple computations in parallel is what makes them so effective; with a powerful processor, the model can make statistical predictions about very large amounts of data. GPUs are widely used in machine learning because they offer more power and speed than CPUs. In this paper, we show the use of GPU for solving a scheduling problem. The results show that this idea is useful, especially for large optimization problems.
Analysis of enterprise management efficiency based on foreign experience of managerial competence development
Authors: Afanasiev Yevhen , Burlachenko Serhii
Published: January 2025

Introduction. In the 21st century, enterprises are compelled to manage certain competencies in a complex and rapidly changing world. Competency-based management is defined as a set of personal qualities, motivations, abilities, values, and knowledge necessary to improve management efficiency, forming part of a broader set of individual competencies. Thus, the identification of managerial competencies for leaders and the entire staff becomes a valuable resource for achieving and maintaining competitive advantages in any market.
Aim. The goal is to summarize the theoretical, methodological, and practical principles of enterprise management based on the competencies of managers.
Methodology. The study utilized an analysis of scientific publications sourced from major databases, such as SCOPUS, Web of Science, and other open-access publication platforms. The search for relevant materials was conducted according to established requirements for comprehensive searches of open-access scientific publications. The analysis of scientific publications reveals general trends in the development of enterprise management based on the principle of efficiency and the personal competencies of leaders.
Results. The article presents various approaches to defining competencies, theoretical-methodological and practical principles of competency-based management, analysis of the experience of scientists, opportunities for further development in this area, and the relevance of ongoing research in the competency-based approach to management. It was found that over the past decades, significant attention in scientific publications has been given to forming a modern vision of effective enterprise management, reflecting the growing needs and aspirations of enterprises to gain a sustainable competitive advantage, including through changes in management approaches and personnel selection. Specifically, there has been a shift toward competency-based management of enterprises. Thus, research into competency management trends is becoming increasingly relevant in the sphere of improving managerial processes. Based on the analysis of publications on foreign experience related to this research topic, it was concluded that competency-based management theory originated in the mid-20th century but gained significant demand and popularity only at the beginning of the 21st century.
Taxation system of small business entities in the implementation of the state fiscal policy of Ukraine
Authors: Bradul Olexandr , Zherebko Yurii
Published: January 2025

Introduction. This article explores the taxation systems of small business entities, which are the backbone of the country's economy, experiencing immense pressure from a large-scale military situation. This situation creates high entrepreneurial risks, including the potential loss of resources and threatens the very physical survival of businesses. The state policy of the Ukrainian government aims to strengthen efforts toward creating more favorable business environment conditions for such enterprises. Therefore, the principles of taxation are directed toward supporting the development of international entrepreneurial standards (SMEs), regulating a business environment conducive to entrepreneurship, which should serve as the foundation for ensuring the country's economic recovery and enhancing competitiveness in the context of European integration.
Aim of the article: The study aims to determine the role and mechanism of applying taxation systems for small business entities in the implementation of Ukraine's state fiscal policy amid the high uncertainty of the business environment due to military threats.
Method (methodology). The research is based on the analysis of scientific literature, statistical data, and the author's own studies.
Results. Based on the conducted research, it is established that the state's policy focus on reducing the tax burden, simplifying reporting conditions, and easing the operations of business entities are essential advantages that can stimulate the development of small businesses and entrepreneurship. The simplified taxation system has its limitations and cannot be applied to all types of business activities. Each available taxation system has its own tax collection mechanism, allowing for flexible application considering the set of specific internal and external conditions of the enterprise's operations and activities.
Agricultural nature management in the context of global climate change
Authors: Shuvar Ivan , Brych Vasyl , Shuvar Antin , Borysiak Olena
Published: January 2025

Climate change has an impact, and this impact will continue to grow, on the way agriculture is conducted. Adaptation to rising temperatures is therefore necessary to maintain the profitability of farms and, above all, the continued production of food and raw materials for the processing industry. In the case of agriculture, many methods that increase the resilience of farms to the effects of rising global temperatures (adaptation) can simultaneously reduce greenhouse gas emissions (mitigation) and create additional benefits in the form of increased crop yields. Although limiting climate change is crucial for agriculture, unfortunately, it is increasingly exacerbating the problem. The article is aimed at studying the impact of agricultural activities on global climate change, as well as the application of measures in agricultural environmental management that reduce the negative impact on the climate. The article considers the consequences of global climate change on agricultural natural resource management. It is found that it is much more difficult for agriculture to adapt to extreme weather conditions than to changes in average temperature or precipitation. Agricultural methods that reduce greenhouse gas emissions are noted. Intermediate crops (green manure, fodder, seeds, etc.) help to mitigate climate change. It has been proven that the transformation of agriculture, which is necessary due to the current state of the earth's systems, can reconcile both economic (farmer's profit), social (food supply), and environmental (reducing pressure on the natural environment) needs. The key uncertainty is the difference between the warming-related increase in CO2 emissions (plant and microbial respiration) and the increase in the rate of carbon sequestration by plants, which makes it important to consider future research on diversifying agricultural environmental management measures to prevent global climate change.