bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hierarchical Contextual Embedding Through Neural Modulation for Advanced Text Comprehension
Authors: Underwood Alishah , Rutherforth Benjamin , Featherly Sophia , Vanderburg Edward , Saffron Lucas 
Published: December 2024

Abstract

Innovative architectures integrating neural modulation layers with hierarchical embeddings have emerged as a powerful framework for enhancing linguistic comprehension and text generation capabilities. Through dynamic regulation of information flow, the proposed approach enables large-scale language models to balance local and global contexts effectively, overcoming challenges associated with long-range dependencies and hierarchical structure processing. The incorporation of modulation mechanisms within transformer-based architectures introduces adaptive signal routing, which prioritizes semantically relevant features while suppressing less significant elements, improving overall representational fidelity. Experimental evaluations demonstrated superior performance across various text comprehension and generation benchmarks, with significant improvements in contextual coherence and semantic alignment. Quantitative analysis revealed that the model achieved higher accuracy and robustness in tasks involving ambiguous or syntactically complex inputs compared to baseline architectures. Error recovery in sequential tasks highlighted the framework's ability to adaptively correct inconsistencies, further validating the efficacy of modulation-enhanced architectures. Qualitative assessments provided additional evidence of enhanced fluency and logical consistency in generated text, underlining the system’s capacity for complex linguistic representation. The modularity and scalability of the architecture were evident through its successful application to diverse datasets and computational setups, ensuring broad applicability and practical utility. By integrating hierarchical embeddings with neural modulation, the framework offers a compelling solution to address existing bottlenecks in the processing of extended text sequences. Furthermore, the adaptive attention mechanisms embedded within the model demonstrated an ability to retain critical contextual elements over long input sequences without degrading computational efficiency. Results suggest that the methodological advancements presented here could serve as a robust foundation for developing more context-aware and semantically coherent language modeling systems. The research contributes to expanding the boundaries of computational linguistics through a novel synthesis of adaptive mechanisms and hierarchical structures, opening pathways to more efficient and interpretable language understanding frameworks.
Effect of UV B Rays on the Specific Phytochemical Synthesis in Trigonella Foenum-Graecum L. And Raphanus Sativus L.
Authors: J JERSHIA HADRIN , SOOSAIRAJ S. 
Published: December 2024

Abstract

The investigation of phytochemical properties in medicinal plants is pivotal for the identification and isolation of potential drug candidates and bioactive compounds from various plant tissues. These properties are integral in elucidating the distinctive biological activities associated with specific plant species. Typically, key plant parts such as leaves, roots, stems, bark, and fruits are extensively analyzed to uncover their phytochemical profiles and therapeutic potential.Mutagenesis entails the exposure of biological materials to mutagens—physical or chemical agents that elevate the mutation rate beyond natural, spontaneous levels. Plant breeding programs to artificially induce genetic variation, facilitating the development of novel plant varieties with desirable traits such as higher yields, early maturation, reduced height, and improved resistance to diseases by producing secondary metabolites.
Income inequality has increased for over two-thirds of the global population
Authors: Chrisendo Daniel , Niva Venla , Hoffmann Roman , Sayyar Sina Masoumzadeh , Rocha Juan , Sandström Vilma , Solt Frederick , Kummu Matti 
Published: December 2024

Abstract

Income inequality is one of the most important measures to indicate economic health, social justice, and quality of life. Yet, especially at the subnational level, comprehensive global data on the distribution of incomes is widely missing. Such data is essential to assess patterns in inequality within countries and their development over time. We created seamless global subnational Gini coefficient and gross national income (GNI) PPP per capita datasets for 1990-2021 and used these to assess the status and trends of income inequality and income as well as their interplay. We show that while gross national income has increased for most (96%) people globally, inequality has also increased for around 68% of the global population. We illustrate heterogeneities in inequality trends between and within countries and analyse plausible confounding factors related to inequality. Our dataset and analyses reveal new insights into the issue, opening novel research avenues at the global, regional or national level and providing comprehensive evidence for policymakers to make informed decisions.
Quantum correlation-enhenced dual-comb spectroscopy
Authors: Yan Ming , Wan Zhuoren , Chen Yuan , Zhang Xiuxiu , Zeng Heping 
Published: December 2024

Abstract

Dual-comb spectroscopy (DCS) is a powerful technique for spectroscopic sensing, offering exceptional resolution, precision, and speed. However, its performance is fundamentally limited by quantum noise inherent to coherent-state optical combs. Here, we overcome this barrier by introducing quantum correlation-enhanced DCS using correlated twin combs generated via seeded four-wave mixing. One comb acts as a local oscillator to decode molecular signals, while the twin suppresses shot noise through intensity-difference squeezing, achieving a 2 dB signal-to-noise ratio improvement beyond the shot-noise limit—equivalent to a 2.6× measurement speed enhancement. Notably, when paired with up-conversion spectroscopy, our approach achieves comb-line-resolved, high-resolution spectra (0.0067 cm⁻¹, 7.5 pm) in the critical 3 μm region for molecular fingerprinting. These results bridge quantum optics and frequency comb spectroscopy, offering great potential for trace gas detection, precision metrology, and chemical analysis. Future developments in detector efficiency and nanophotonic integration could further enhance its scalability and impact.
Individualized metering and the influence of other endogenous and exogenous factors on water consumption in social housing
Authors: Sborz Julia , Cominato Carolina , Kalbusch Andreza , Henning Elisa 
Published: December 2024

ABSTRACT

Individual water metering allows consumers to pay for the water volume actually consumed, promoting the efficient use of water resources. This case study aims to evaluate the impact of consumption billing based on individual water meters in a social housing complex in the city of Joinville, southern Brazil. The residential complex under study consists of 20 four-story buildings with four units per floor, each with a floor area of 40.17 m2. Statistical analyses were conducted in 158 households, whose residents agreed to participate in the interview stage. Data were collected over a period of 1,429 days. The water billing system was initially based on a collective consumption meter, with subsequent apportionment of the consumption charges between the households. An individual billing system was then implemented, using one water consumption meter per household. The impact of individual water billing on the water consumption data from the households in the sample was analyzed using descriptive statistics, Wilcoxon–Mann–Whitney nonparametric test, and Prais–Winsten regression model. The results showed that the water billing system influences the per capita water consumption in the social housing complex under analysis.
Optimization of long-term renewal investment plan for drinking water conveyance networks using dynamic programming
Authors: Kim Kibum , Kim Taehyeon , Kang Kyubyung , Koo Jayong 
Published: December 2024

ABSTRACT

The increasing issue of aging water pipes highlights the need for a long-term renewal investment plan to respond effectively within constrained resources. This study proposes an optimization method designed to minimize life cycle costs while considering the structural safety of pipes and economic efficiency in pipe renewals. The method consists of two prediction models: artificial neural network (ANN)-based corrosion prediction models and ANN-based failure rate prediction models. This study uses these models to develop a dynamic programming (DP)-based optimization method that meets annual budget constraints. It applies successfully to a target area of conveyance pipe networks. Moreover, the findings demonstrate that adhering to annual budget constraints allows water utilities to allocate their budgets efficiently, facilitating strategic investments within set yearly limits. These findings offer substantial promise as foundational technologies for the asset management of water supply infrastructures, highlighting their potential for future applicability and value.
Remediation of antibiotics-contaminated wastewater through photocatalytic techniques: Implications for SDGs that support a more sustainable future and a healthy planet
Authors: Aremu Omolola Helen , Adaramoye Toyin Olanike , Adeyemo Olumuyiwa Moses , Yahaya Sharhabil Musa , Unimke Augustine Agorye , Mohammad Shamsuddeen Jumande , Abdullahi Aminu , Okezie Onyemaechi , Abiodun Oluyide Michael , Mmuoegbulam Augusta Oluchi , Aderibigbe Deborah Olubunmi , Abdulrasak Mohammed Adewumi , Durumin Iya Naseer Inuwa , Mohammed Sa'adatu Eri , Badamasi Hamza , Ibrahim Muhammad Musa , Akintola Olayiwola Akin , Nelana Simphiwe Maurice , Klink Michael John , Ayanda Olushola Sunday 
Published: December 2024

ABSTRACT
This paper aims to provide information on the remediation of various antibiotics from contaminated wastewater by photocatalytic treatment techniques. The review includes the mechanism of action of pharmaceuticals, pharmaceuticals as environmental pollutants, antibiotics and their metabolites, toxicity and health implication of antibiotics-contaminated wastewater, measures to manage antibiotics in the environment, the different wastewater treatment technologies, the degradation and mechanism of antibiotics via photocatalysis, and the Sustainable Development Goals (SDGs) relating to the treatment of antibiotics-contaminated wastewater. Photocatalysis has more advantages than other treatment techniques due to its simplicity, cost-effectiveness, and higher percentage degradation of antibiotics in wastewater. The use of photocatalytic methods to purify antibiotic-contaminated wastewater has substantial ramifications for several SDGs, hence promoting a healthier world and a more sustainable future. This paper is presumed to offer some insight on the treatment technique that is more efficient and suitable for antibiotics-contaminated wastewater that can be explored on an industrial scale.
Performance Evaluation and Implications of Large Language Models in Radiology Board Exams: Prospective Comparative Analysis
Authors: Wei Boxiong 
Published: December 2024

Abstract

Background
Artificial intelligence advancements have enabled large language models to significantly impact radiology education and diagnostic accuracy.

Objective
This study evaluates the performance of mainstream large language models, including GPT-4, Claude, Bard, Tongyi Qianwen, and Gemini Pro, in radiology board exams.

Methods
A comparative analysis of 150 multiple-choice questions from radiology board exams without images was conducted. Models were assessed on their accuracy for text-based questions and were categorized by cognitive levels and medical specialties using χ2 tests and ANOVA.

Results
GPT-4 achieved the highest accuracy (83.3%, 125/150), significantly outperforming all other models. Specifically, Claude achieved an accuracy of 62% (93/150; P<.001), Bard 54.7% (82/150; P<.001), Tongyi Qianwen 70.7% (106/150; P=.009), and Gemini Pro 55.3% (83/150; P<.001). The odds ratios compared to GPT-4 were 0.33 (95% CI 0.18‐0.60) for Claude, 0.24 (95% CI 0.13‐0.44) for Bard, and 0.25 (95% CI 0.14‐0.45) for Gemini Pro. Tongyi Qianwen performed relatively well with an accuracy of 70.7% (106/150; P=0.02) and had an odds ratio of 0.48 (95% CI 0.27‐0.87) compared to GPT-4. Performance varied across question types and specialties, with GPT-4 excelling in both lower-order and higher-order questions, while Claude and Bard struggled with complex diagnostic questions.

Conclusions
GPT-4 and Tongyi Qianwen show promise in medical education and training. The study emphasizes the need for domain-specific training datasets to enhance large language models’ effectiveness in specialized fields like radiology.
A Arquitetura da informação em Apps: o comportamento informacional em sistemas de informações portáteis
Authors: Ferreira Carlos Alberto , Rodrigues Bruno da Silva , Salgado Vanessa Mafra Xavier , Pereira Daniel Ramalho de Souza 
Published: December 2024

Apresenta conceitos e funções de aplicativos mobiles, procurando tratar desde a fase de desenvolvimento até o seu uso, abordando como o processo de desenvolvimento da arquitetura da informação e, as heuristicas de Nielsen puderam favorecer a um melhor uso e desta forma favorecer o usuário a ter sua utilização potencializada e atender aos princípios do comportamento informacional. O estudo tem como objetivo trabalhar o entendimento mesmo que de maneira inicial o comportamento informacional dos usuários diante do uso de aplicativos móveis, tendo a Arquitetura da Informação no processo de desenvolvimento do mesmo. Para tanto, metodologicamente, procede levantamento bibliográfico das bases teóricas disponíveis e contraposição ao uso de APP`s como o exemplo do Melhor Envio. Como resultados, constata que quando há aplicação de Heuristicas como as de Nielsen o resultado consegue ser alcançado como no caso estudado. Conclui que o aporte da prática da Arquitetura da Informação, e o uso das estruturas de classificação, quando usadas via teoria da classificação facetada de Ranganathan, mostrou-se promissora, pois o conceito do uso do PMEST, é claramente uma forma útil de recuperar a informação na Web.
EDITORIAL
Authors: Carvalho Ediane Toscano Galdino 
Published: December 2024

Após um processo pandêmico vivenciado nos anos de 2020 e 2021 em decorrência da Covid 19, o ano de 2022 carrega em si a esperança de que o sol sempre surge ainda mais reluzente. Essa expectativa renova as forças depositadas no processo de produção do conhecimento humano. Assim, a Revista Archeion Online superando todas as dificuldades pandêmicas segue com suas publicações e reforça o compromisso de trazer diferentes abordagens desenvolvidas na área da Arquivologia. O presente número contempla seis publicações divididas em quatro artigos de revisões e dois relatos de pesquisas.
E do verbo/ação se fez a revista archeion online
Authors: Carvalho Ediane Toscano Galdino de 
Published: December 2024

Apresenta a relevância da revista Archeion Online enquanto periódico online que dissemina o conhecimento científico na área da Arquivologia e sua relação com áreas afins. Para tanto, foi realizado um registro histórico e um levantamento com demonstração de dados quantitativos das publicações realizadas durante os dez anos de vida. Nesse período a Archeion Online se consolidou ao fomentar o conhecimento científico, sobretudo na área da arquivística.
Apresentação do dossiê
Authors: Carvalho Maria Elizete Guimarães , Luchese Terciane Ângela , Pinto Ana Paula 
Published: December 2024

Trata-se de um texto apresentativo Ao Dossiê O GOLPE DE 1964, 60 ANOS DEPOIS: NARRATIVAS, RESISTÊNCIA E REDEMOCRATIZAÇÃO" e que tem o propósito rememorar e oferecer visibilidade a um fato histórico que modificou a história do Brasil e avida dos brasileiros e brasileiras por cerca de 21 anos.
INTERAÇÕES SINÉRGICAS ENTRE O HIV/AIDS E A COVID-19
Authors: Marques da Fonseca Silva Luziana , Paulino de Oliveira Neto Francisco , Cavalcante Bueno de Moraes Gabriel 
Published: December 2024

A partir de dados etnográficos preliminares de uma investigação em curso, discutire- mos neste artigo as sinergias entre a descentralização da atenção em HIV/Aids em Rio Tinto/PB e a pandemia de Covid-19. O material empírico tem evidenciado uma tessitura complexa envolvendo a relação entre a lógica territorial que norteia a Atenção Básica (AB) e o receio dos/as usuários/as quanto à “fofoca” sobre os diagnósticos positivos e suas reverberações na vizinhança, inclusive, por se tratar de uma área marcada pela vulnerabilidade social e individual. Ademais, a centralidade na saúde materno-infan- til tem direcionado os testes rápidos para as gestantes. Essa teia torna-se ainda mais emaranhada quando percebemos que a Covid-19 tem sido o foco das práticas da ges- tão, provocando assim uma desaceleração dos cuidados em HIV/Aids. Essas situações sinérgicas que envolvem a interação entre fenômenos biológicos, simbólicos, sociais e políticos desenham e dão forma à sindemia (SINGER, 1994) entre HIV/Aids e Covid-19.
PALAVRAS-CHAVE:
HIV/Aids. Covid-19. Descentralização. Sindemia.

Foto: Gabriel Cavalcante. Edição: Mónica Franch
Utilization of Environmentally Friendly Energy in Organic Fertilizer Processing Machine
Authors: Esye Yendi , Asbanu Husen , Faturachman Danny , Chan Yefri 
Published: December 2024

Agriculture is the primary livelihood for most of Indonesia's population, which has vast agricultural land. However, there remains a dependency on chemical fertilizers, which degrade soil quality compared to organic farming that can optimize plant health and productivity. The energy needs in the agricultural sector, including mechanization and fertilizer production, are critical but still heavily reliant on fossil fuels. It is, therefore, essential to reduce this dependency by utilizing environmentally friendly alternative energy sources. This study examines the use of solar energy to power machines in the process of producing organic fertilizer. The tools used in the study include a 100 Wp solar panel, solar energy conversion components, a 12 Volt 33 Ah battery, a ¼ Hp electric motor, a voltage and current meter, a temperature gauge, a sunlight intensity meter, and an organic fertilizer processing machine. The research method analyzes several variables, including sunlight intensity, power, voltage, current, charging time, and battery usage. The study found that the solar panel used was insufficient to power the ¼ HP motor, requiring the addition of three more solar panels and batteries to meet the motor's power requirement of 233 watts. Battery charging tests required 3 hours, and battery usage for machine operation without solar panel installation lasted 1 hour and 40 minutes, while battery usage for machine operation with solar panel installation lasted 6-7 hours. Keywords: Environmentally friendly energy, Fertilizer crushing machine, Organic fertilizer, Solar energy.
Comparative Studies of Chemical Composition and Biological Activity of Juniperus communis L. Essential Oil From Different Localities in the Republic of Serbia
Authors: Gusinjac Isma , Tomovic Jovica , Kocovic Aleksandar , Rancic Aleksandar , Radojevic Ivana , Grujović Mirjana , Sovrlic Miroslav 
Published: December 2024

Abstract
This work aims to determine the chemical composition of Juniperus communis (J. communis) essential oil from different localities in the Republic of Serbia and examine its antimicrobial and antioxidative effects together with chemometric analysis and principal component analysis. Essential oils were extracted via hydro distillation from the fruits of J. communis gathered from four different habitats in Serbia. Extraction yields ranged from 1.56 % in the sample from Bavanište to 1.98% in the sample from Mačkat. A total of 23 compounds in the four essential oil samples were identified by Gas Chromatography-Mass Spectrometer (GC-MS). The dominant compounds were α-pinene (32.68–51.10 %), β-phellandrene (6.43–24.77 %), and β-pinene (9.84–14.09 %). Compared with the other ecological factors, precipitation showed a strongly positive correlation (0.871) with essential oil yields. The four samples could be classified into two clusters based on the variance in their components. All the essential oils samples showed bioactivities. Among them, the essential oil from the Mačkat sample showed the best ABTS radical scavenging activity (IC50=237.74 μg/ml), DPPH radical scavenging activity (IC50=308.83 μg/ml) and antimicrobial activities. Consequently, the essential oil extracted from Mačkat has the potential for commercial viability in the food, cosmetic, or medical fields.
Advanced in Socioproductive Inclusion: The Protection of Tangible and Intangible Assistances of the Quilombola Community Traditional of Cachoeira Dos Forros - Passa Tempo/MG
Authors: Paranhos Márcia Cristina Moreira , Lima Francisco de Paula Antunes 
Published: December 2024

Objective: The objective of this study is to investigate the development of a sustainable and collective business model, by and for the community, aiming, in principle, at its economic emancipation.

Theoretical Framework: Today, cooperation is recognized as a source of efficiency and well-being, opposing competition, rational selfishness and neoliberal individualism. However, the simple normative constitution or even the defense of the collective based on moral values ​​is insufficient to develop real cooperation. Therefore, traditional knowledge, understood as communal material and immaterial resources, reveals itself as resources capable of guiding community-based enterprises.

Method: The methodology adopted for this research comprises a study in the Traditional Quilombola Community of Cachoeira dos Forros (CTQCF/MG), located in Passa Tempo, in the state of Minas Gerais.

Results and Discussion: The results obtained revealed that it is possible to outline perspectives for communal development, based on the appreciation of traditional knowledge, from the perspective of community enterprise. However, for this approach to be viable, it is necessary to recognize the obstacles that may interfere with the path to be taken by this community, towards its autonomy as an Afro-diasporic culture.

Research Implications: The practical and theoretical implications of this research are discussed, providing insights into how the results can be applied or influence practices in the field of intellectual property. These implications may include contributing to the emancipatory process of the CTQCF/MG, already underway.

Originality/Value: This study contributes to the originality of the research, whether through an innovative approach, new discoveries or practical contributions. The relevance and value of this research are evidenced by adversities to be overcome, highlighting the discredit and lack of engagement of a portion of its members in achieving the common project, which permeates the compelling need to develop methodologies capable of creating enabling conditions in the process of building trust and cooperation among its actors.