bluuebunny/crossref_metadata_2025 huggingface dataset:
DIREITO À TERRA, ABOLIÇÃO E FORMAÇÃO DAS FAVELAS NA SOCIEDADE BRASILEIRA
Authors: Lima Iury Venilson Pereira de
Published: December 2024

Este artigo tem por objetivo suscitar a discussão, numa perspectiva histórica, sobre a relação entre a questão social, a abolição do trabalho escravo no Brasil e a formação das favelas, destacando os dados relativos à realidade brasileira. Para tanto, buscou-se na literatura autores que tratassem da questão da desresponsabilização do Estado perante a população negra liberta no período pós-abolição. Buscou-se apontar também o papel do racismo frente às condições de vida da população negra e a relação da conceituação de necropolítica e os dados de mortalidade da população negra. Por fim, desempenhou-se o esforço de demonstrar que a alocação de determinada parte da população em espaços precários é uma postura estrutural do Estado, é benéfica para a manutenção do sistema. Tal máxima elenca bem o fato de que a terra e moradia, dentro do sistema capitalista, não é algo projetado para todos, mas, dentro do capital, assume o molde de propriedade privada. A metodologia utilizada se expressa nos seguintes eixos:realização de uma pesquisa exploratória qualitativa para atingir os objetivos propostos; bem como revisão bibliográfica dialogando com autores clássicos e contemporâneos. Como resultados foram apontadas questões como o fato do Brasil possuir cerca de 11.403 favelas, representando o expressivo número de 16 milhões de pessoas, sendo aproximadamente 67% desse total composto por pessoas negras. Tais pontos só fortalecem a justificativa e necessidade da discussão acerca da formação das favelas e sua intrínsecarelação com o processo de abolição e concentração da população e sua concentração em espaços afastados do seio social.
Desenvolvimento de catalisador heterogêneo Zn/Al para produção de biodiesel a partir do óleo de andiroba
Authors: FERREIRA JONNY ERICK DOS SANTOS
Published: December 2024

O presente estudo visa desenvolver um catalisador heterogêneo para obtenção de biodiesel a partir do óleo de andiroba. A maior parte da energia consumida no mundo vem do petróleo, do carvão e do gás natural. Com o esgotamento das fontes de energia, especificadamente a energia fóssil, sobretudo sua impossibilidade de renovação, tem motivado o desenvolvimento de tecnologias que permitem utilizar fontes renováveis de energia. O biodiesel pode ser tratado como uma das principais alternativas de energias renováveis. Sendo assim, o estudo realizou a síntese e caracterização de um catalisador a base de alumina modificado com zinco por Difração de Raio-X e Microscopia Eletrônica de Varredura. A Difração de Raio-X mostrou a formação do Al2ZnO4, indexado pela ficha JCPDS N° 03-065-3104 de fase cúbica, juntamente com a presença do ZnO de fase hexagonal indexado pela ficha JCPDS N° 1-076-0704. A microscopia eletrônica de varredura demostrou uma morfologia lamelar com o suporte totalmente recoberto para a catalisador, sintetizado pelo método de
impregnação via úmida com Zn(NO3)2. A transesterificação é influenciada pelas propriedades do óleo utilizado, portanto o óleo de andiroba passou pelos testes do Índice de acidez, índice de iodo, índice de saponificação e índice de peróxido,
apresentando o índice de acidez de 28,1 mg KOH/g de óleo, assim como o índice de iodo igual de 83,5 g I2/100g-1 e índices de saponificação e peróxido de 221,3 mg KOH/g e 4,2 meq/1000g, respectivamente. As reações de transesterificação
ocorreram em um reator Parr com temperatura de 60º C por um período de 5 horas e agitação de 500 rpm. Utilizou-se 20g do óleo e proporções de etanol de 1:25, 1:50 e 1:100 (óleo:álcool) e 2 g de massa do catalisador (Al/Zn). Para a
reação de transesterificação o catalisador Al/Zn apresentou maior eficiência na proporção de 1:100 obtendo um rendimento de 78,12%, sendo que todas as reações conduzidas foram viáveis para a obtenção do biodiesel.

Palavras-chave: Catálise heterogênea. Transesterificação. Energias Renováveis.
A IMAGEM ICONOGRÁFICA E SUAS ABORDAGENS NO ENSINO DE HISTÓRIA
Authors: Gomes Silvânia Maria de Oliveira
Published: December 2024

Nos tempos atuais, as imagens se encontram muito mais difundidas e acessíveis nos livros didáticos, jornais, revistas e outros meios de comunicação. Devido a expansão da linguagem iconográfica, uma percepção mais aguçada acerca desse tema, até então pouco conhecida e pouco interpretada pelo professor de História, se faz necessária. No entanto, os professores do ensino fundamental nem sempre estão preparados para executar essa nova leitura iconográfica, que se apresenta de diversos tipos: estátuas, fotos, gravuras, charges, filmes, música etc. Vive-se em um mundo cercado de imagens e essas imagens fazem parte do nosso cotidiano, pois a todo tempo elas estão na televisão, na fotografia, nos filmes, nas revistas e jornais, nas telas de computadores e celulares. Enfim, em todas as manifestações visuais do nosso tempo.
Apresentação
Authors: Moniz Fábio Frohwein de Salles , Guggenberger Rainer
Published: December 2024

É com grande satisfação que apresentamos os Anais do I Seminário Externo do Núcleo de Estudos Clássicos da Fundação Biblioteca Nacional (NEC-FBN), ocorrido de 22 a 26 de maio de 2023 no auditório Machado de Assis da Biblioteca Nacional do Rio de Janeiro. O evento, que marcou uma importante etapa na trajetória do NEC-FBN, evidenciou o compromisso primeiro de nosso grupo de pesquisa em promover a articulação entre Ensino, Pesquisa e Extensão, bem como a integração entre o vasto acervo da Fundação Biblioteca Nacional (FBN) e as demandas acadêmicas das áreas de Línguas e Literaturas Clássicas.
Linguagem em ação: reflexões e propostas para o ensino de português
Authors: Santos Adelino Pereira dos , ARAÚJO ALEXANDRA MARIA DE CASTRO E SANTOS , FERREGUETT CRISTHIANE , MENDES ELISÂNGELA DOS PASSOS , SOUSA GEÓRGIA KARINNE SOARES SILVA , ALMEIDA GILCE DE SOUZA , MACEDO JOSÉ OSMAR RIOS , GAYER JULIANA ESCALIER LUDWIG , RABELO JUNES DA SILVA , ANDRADE KÁREN APARECIDA DE SOUSA , Santos Lanuza Lima , ARAUJO LÁZARO DE OLIVEIRA , BISPO MARCOS , GUERREIRO PAULO DE ASSIS DE ALMEIDA , SANTOS SÂMIA ARAÚJO DOS , NASCIMENTO SILVANA SANTOS DAMASCENO , ASSIS TELMA SOUZA BISPO , ANTONINO VÍVIAN
Published: December 2024

Considerando que o ensino de Língua Portuguesa deve ser fundamentado em conhecimentos teóricos provenientes dos estudos linguísticos, bem como em experiências desenvolvidas por professores pesquisadores, reunimos neste livro uma seleção de textos com reflexões e propostas práticas para enriquecer o processo de ensino e aprendizagem de língua materna. Esta obra destaca-se por divulgar pesquisas realizadas no âmbito do Programa Mestrado Profissional em Letras (PROFLETRAS), concentrando-se especialmente no eixo de análise linguística/semiótica. Ao promover essa divulgação, nosso objetivo é ampliar o acesso ao conhecimento produzido no contexto acadêmico, o que pode contribuir significativamente para a formação de estudantes da área de Letras e professores de Língua Portuguesa.
ESTRATÉGIAS DE AGENDAMENTO E GESTÃO DE TEMPO EM CLÍNICAS ODONTOLÓGICAS: MAXIMIZANDO EFICIÊNCIA E SATISFAÇÃO DO PACIENTE
Authors: Assis Priscila Helena de , Almeida Kleber Rosa de , Silva Luciana de Almeida , Narimatsu Danielli Mayumi Sato , Ortolani Cristina Lúcia Feijó
Published: December 2024

A gestão eficiente do tempo em clínicas odontológicas é essencial para garantir a qualidade do atendimento ao paciente, a produtividade da equipe e a satisfação geral dos clientes. Este resumo científico apresenta uma introdução robusta sobre o tema "Estratégias de Agendamento e Gestão de Tempo em Clínicas Odontológicas: Maximizando Eficiência e Satisfação do Paciente". O artigo aborda dez estratégias fundamentais para aprimorar a gestão de tempo em clínicas odontológicas, com base em pesquisas científicas e estudos de caso. A utilização de sistemas de agendamento inteligente é destacada como uma abordagem promissora para otimizar a marcação de consultas, considerando a disponibilidade dos profissionais e as preferências dos pacientes. A programação ponderada é apontada como uma forma de priorizar procedimentos complexos em horários adequados, evitando atrasos e sobrecargas na agenda. A redução do tempo de espera dos pacientes é abordada com técnicas eficazes para melhorar a satisfação dos clientes. A criação de uma política de remarcação e cancelamento de consultas é mencionada como uma medida para evitar lacunas na agenda. A otimização da distribuição do tempo para diferentes procedimentos é discutida para garantir uma agenda equilibrada e produtiva. Em conclusão, ao implementar essas abordagens, os profissionais da odontologia estarão melhor preparados para alcançar maior eficiência operacional, satisfação do paciente e sucesso no mercado. A combinação dessas estratégias pode transformar o desempenho de clínicas odontológicas, resultando em benefícios para todos os envolvidos no processo de atendimento odontológico.
De la revuelta social a las tomas de terreno y campamentos en Temuco: Una mirada a la resistencia ante la desposesión urbana
Authors: Pérez Arce Matías , Fonseca Prieto Francisca
Published: December 2024

La historia de la configuración de las ciudades en Chile da cuenta que el desarrollo y crecimiento de las mismas está intrínsecamente relacionado al sistema capitalista. Ello ha ocasionado una sistemática exclusión y marginación de los sectores populares hacia las periferias urbanas, donde generalmente emergen diversas resistencias ante esta exclusión capitalista (Janoshcka, 2016).
Pioneering the future of technology: integrating advanced cloud computing with artificial intelligence for scalable, intelligent systems
Authors: Souratn Jain
Published: December 2024

It is noteworthy that the tendencies of cloud computing and Artificial Intelligence have risen recently as significant milestones in developing new technologies that make it possible to create intelligent systems built in the Cloud. In this article, the author examines how the modern global integration of developed cloud computing services with artificial intelligence technologies is valuable for developing and improving organizational performance in different sectors. Cloud computing uses computing resources and services on a pay-per-use basis, whereas AI provides exceptional capabilities for analyzing large volumes of data. Combined, they allow organizations to construct systems and applications that are not only easily scalable but also capable of learning and changing in the light of new conditions. This paper aims to determine the current trend and research deficits by analysing the previous papers, based on which a theoretical framework for integrating these two technologies will be developed. Methodologically, this study will incorporate both qualitative and quantitative data to analyze successful case studies of Cloud and AI integration. The insights shown in this paper can prove that if managed effectively, trust and its synergy with the other elements can lead to greater effectiveness, decision-making, and customer relations. Also, the kinds of problems encountered during integration and recommendations for avoiding such are reviewed in the study. Towards the future, both fields are expected to progress and expand in new multi-disciplinary applications, including industries of healthcare, finance, and manufacturing services. The "integration" that this paper discusses applies technology and culture to business and economic developments. This article advances the understanding of how cloud computing and artificial intelligence are synergistic and shows how scholars and policymakers can use these technologies to create the future of technology.
Deep learning applications for real-time cybersecurity threat analysis in distributed cloud systems
Authors: Saswata Dey  , Writuraj Sarma  , Sundar Tiwari
Published: December 2024

The newest shift in operations known as distributed cloud systems have greatly advanced the structure of digital environments by providing the ability to scale, be versatile, and cost effective. However, this evolution has significantly raised the cybersecurity danger levels where new kinds of threats like zero-day, DDoS and insider threats are more acute. Known security architectures for managing large-scale systems are frequently ill-suited to rapidly evolving, high-throughput data generated in such contexts. Comprehensive cyber threat detection and analysis in real time through enhanced pattern match in distributed cloud system is made possible by deep learning (DL).
The use of security measures that employ the DL models of CNNs, RNNs, as well as the transformer models for detecting security threats are discussed in this article. Some of the features discussed are data preprocessing for imbalanced datasets, model scalability for cloud implementations, as well as incorporating DL with edge computing for better flow. Based on experimental outcomes, according to the evaluation criteria of accuracy and efficiency, DL models can detect anomalies and identify malware earlier, and effectively prevent potential intrusion with higher efficiency than traditional methods.
The study also looks at some of the issues with the model; for instance, interpretability; latency; and the need for high-quality data on a big scale. Therefore, it only points to possible further developments using federated learning, privacy-preserving approaches, and multi-model systems to improve threat evaluation in intricate clouds. Thus, this research proves the significance of deep learning in the protection of distributed-cloud systems and brings the gap between idea and application of new approaches to real systems
A case study of integrative psychospiritual techniques in addressing adolescent emotional distress and self-harming behavior with: Subconscious Energy Healing Therapy (SEHT)
Authors: Vijay Girdhar  , Srishti Bhatt
Published: December 2024

This case study examines the effectiveness of Subconscious Energy Healing Therapy (SEHT) in treating a 20-year-old female presenting with depressive symptoms, self-harming behaviour, and low self-esteem. SEHT, integrating Emotional Freedom Techniques (EFT) with psychospiritual principles, was employed to address her emotional distress and maladaptive coping mechanisms. The patient, "Miss K," exhibited significant emotional and behavioural challenges rooted in childhood bullying, family dynamics, and self-doubt. Through a structured approach, SEHT facilitated mindfulness, emotional release, and self-empowerment. A 2-step stress management framework emphasized awareness of stress responses and release through self-suggestions and tapping. Therapy outcomes included reduced self-harming behaviour, enhanced self-esteem, and improved academic focus. By incorporating personalized affirmations and spiritual elements, Miss K cultivated resilience, utilizing gratitude and Divine connection as healing tools. After five sessions, she demonstrated measurable improvement, including better academic performance and emotional stability. SEHT's holistic approach underscores the potential of integrating psychological and spiritual modalities to address complex mental health challenges. This case highlights SEHT's application as an adjunctive therapy for managing adolescent emotional distress. This case study explores the application and effectiveness of Subconscious Energy Healing Therapy (SEHT) in treating a 20-year-old female, "Miss K," who presented with depressive symptoms, self-harming behaviour, and low self-esteem. SEHT, an integrative modality combining Emotional Freedom Techniques (EFT) with psychospiritual principles, was utilized to address the underlying emotional distress, maladaptive coping mechanisms, and unresolved trauma from childhood bullying and adverse family dynamics. A structured therapeutic framework was employed, emphasizing mindfulness, emotional release, and self-empowerment. The therapy incorporated a 2-step stress management model: recognizing stress responses and utilizing self-suggestions and tapping to release negative emotions. Personalized affirmations, spiritual practices, and gratitude exercises fostered a deeper sense of resilience and connection to a higher power. These interventions aimed to reframe her self-perception and in still healthier coping strategies. Over the course of five sessions, Miss K demonstrated significant improvement across multiple domains. Observable outcomes included cessation of self-harming behaviours, enhanced self-esteem, and improved academic performance. She exhibited greater emotional stability and reported utilizing gratitude and spiritual practices as tools for ongoing self-regulation. This case underscores SEHT's potential as a holistic and adjunctive therapeutic approach for addressing complex adolescent mental health challenges.
1 • Introduction
Authors: Rozzi Geraldina
Published: December 2024

The first chapter provides an overview of the development and tradition of Mesopotamian hymns and prayers, focusing on the corpus of the Great Hymns and Prayers. After a complete list of all known manuscripts of the Great Hymns and Prayers, a brief analysis of the corpus is given, highlighting stylistic, linguistic and thematic features.
2 • The Great Prayer to Nabû
Authors: Rozzi Geraldina
Published: December 2024

The critical edition of the Great Prayer to Nabû is the subject of this chapter. The text, with its difficult and often obscure vocabulary, hapax legomena and rich poetic repertoire, illustrates the complexity of the corpus to which it belongs.
7 • Appendix
Authors: Rozzi Geraldina
Published: December 2024

This appendix presents a preliminary study on the poetics of two Akkadian wisdom compositions, Ludlul bēl nēmeqi and the Babylonian Theodicy, which exhibit linguistic, stylistic, and thematic parallels with the Great Hymns and Prayers.
A Brief Introduction of the Turi Language of Eastern India
Authors: Peterson John , Sagar Minz Abhay , Prabhat Linda , Khan Ariba , Kachhap Francis Xavier , Kachhap Francis Xavier , Manish Gari , Manish Gari
Published: December 2024

This article presents a brief introduction to the North Munda (Austro-Asiatic) language Turi, spoken by some 1,500 speakers throughout the Indian states of Chhattisgarh, Jharkhand, Odisha, Bihar, West Bengal and Assam. After a brief introduction to the ethnic Turi group, we present a skeleton grammar of the Turi language as spoken in northwestern Odisha state, where it is still being learned by children as their home language. We then discuss the position of Turi within the Kherwarian (North Munda) group by comparing our lexical data for Turi with that for twelve other Kherwarian varieties as given in Kobayashi et al. (2003), using the software COG from the Summer Institute of Linguistics. Our results suggest that Turi is a sister language to all of the dialects of Santali and that it together with these forms the Santali-Turi branch of Kherwarian. We end with a discussion of the possible consequences of these results for the linguistic and ethnic prehistory of eastern central India.
Ethical Politics and the Revival of Islamic Teaching in Indonesia
Authors: Tamwifi Irfan , Akbar Eliyyil , Rahman Mohd Nazri Abdul
Published: December 2024

This article aims to elucidate the interconnection between ethical politics and the resurgence of Islamic doctrine in Indonesia, which serves as the foundation for the enduring tradition of Islamic doctrine. The development of Islam in Indonesia is seldom connected to the history of colonialism. Nevertheless, numerous transformations in Islamic thought and teaching occurred in close proximity to the implementation of ethical policies in the late colonial era. This study employs a qualitative methodology with a historical anthropological perspective. The research data is derived exclusively from historical literature and is analysed in accordance with Foucault's theory of power relations. The study concludes that ethical politics exerts an indirect influence on the resurgence of Islamic teachings. The aversion to all things European among Islamic circles has resulted in the importation of comprehensive Islamic teachings from the Middle East as a foundation for the evolution of Islamic teachings in Indonesia. This article posits that colonial ethics played a role in the resurgence of Muslim intellectuals and reinforced the standing of Islamic education in Indonesia.
Simulation and automation of the electrocoagulation process for wastewater treatment
Authors: Safonyk A.P. , Targoniy I.M. , Koval S.A.
Published: December 2024

Mathematical model of the electrocoagulation process for water treatment, which takes into account the geometric dimensions of the reactor, the volumetric flow rate and the applied current strength, was constructed. The simulation model that describes the processes occurring in the electrocoagulator has been developed, on the basis of this studied the influence of current strength on the concentration of the target component at the exit from the reactor. based on experimental data verified the adequacy of the constructed model. A system of automation, which provides the optimal energy consumption and ensures observance of ecological standards for allowable concentrations of heavy metal ions, has been developed.
Neural network data caching method
Authors: Kuznetsov O.V. , Chala L.E. , Udovenko S.G.
Published: December 2024

Main existing types of caching and algorithms of saving cached data were analyzed. The new type of caching based on neural networks was proposed. results of proof of concept project were analyzed. Proposed type of caching was reviewed as a solution to a problem of Belady algorithm. The scale of subject area to use neural type of caching was determined.
Bot detection in social networks
Authors: Kislaia A.G. , Chala L.E. , Grynova O.Y.
Published: December 2024

The analysis of types of social bots was performed, their influence on users was revealed. The signs by which it is possible to identify bots are described. The algorithms for the distribution of information by social networks are analyzed. A neural network architecture was proposed to identify bots, and the results of its work were provided for analyzing Twitter users and their tweets.
Supporting for managing the composite object in the MIS using temporal dependencies
Authors: Levykin V.M. , Chala O.V.
Published: December 2024

The problem of supporting the management of composite objects in the conditions of uncertainty characterized by incomplete information about the state of the control object arising as a result of uncontrolled external influences is considered. The principles of supporting the management of an enterprise as a composite object in conditions of uncertainty based on temporal knowledge are proposed. The temporal model of composite object is developed. The model provides an opportunity for more effective management of a composite object under uncertainty due to the formation of control effects based on probabilistic temporal dependencies. The method of supporting the control cycle of a composite object in information-control systems in the conditions of uncertainty based on temporal knowledge is proposed. The method combines traditional management based on a deterministic model of a complex object with the formation and use of a temporal knowledge base to evaluate the current state of an object and support control by constructing the most probable sequences of management actions in relation to the current state of the control object.
Fuzzy clustering of data arrays based on the evolutionary method of cat swarm optimization
Authors: Bodyankiy Ye. , Shafronenko A. , Patlan K.
Published: December 2024

The problem of fuzzy clustering of an array of observations based on a fuzzy probabilistic approach, based on the algorithm of fuzzy C-means, reformulated into the problem of unconditional multi-extremal optimization, is considered.
Method of support of managerial decisions in conditions of uncertainty on the basis of temporal knowledge
Authors: Levykin V.M. , Chala O.V.
Published: December 2024

The problem of support of managerial decisions in the conditions of uncertainty about object and process of management is considered. Uncertainty about the object of management is characterized by incomplete information about its condition. Uncertainty over the management process is characterized by incomplete formal knowledge of this process as a result of the use of informal knowledge "by default" when making managerial decisions. The key features of a comprehensive management solution are highlighted as including all alternatives for choosing a sequence of actions to eliminate the current problem situation. The temporal model of the complex management solution containing temporal rules, which allows to estimate possible transitions between the states of the object of management, and on this basis, to choose one of the alternatives of the managerial decision is proposed. The method of support of managerial decisions in conditions of uncertainty on the basis of temporal knowledge is offered. The method provides an increase in the effectiveness of supporting the adoption of managerial decisions at the expense of the iterative addition of the base of temporal knowledge as the state of the object of management changes.
Predictions for 2025: Artificial Intelligence in Modern Drug Development, Quantum Proof Encryption, and Health Data Monetization
Authors: Vasiliu-Feltes MD, EMBA Ingrid , Hinkel, MSc, CHW, FRSA Jennifer , Kubassova, PhD Olga
Published: December 2024

We are witnessing an unprecedented convergence of scientific discoveries, technology innovations, exponential adoption of technology and remarkable population demographic shifts towards a digitally native society. The Noble Prizes in medicine, chemistry, physics awarded this year further validated the profound impact of technology on healthcare and life sciences. For 2025-designated by the United Nations as The Year of Quantum Technology, we can envision further technology-driven innovations in all domains, triggering the transition to a novel health ecosystem. The role of AI in modern drug development, the demand for quantum-proof encryption, and the opportunities of blockchain in health data monetization are all trends can be disruptive for pharma, healthcare and healthcare finance.
Correlation of the Upper Pliocene sediments of the Dnipro-Donetsk Depression based on palynological data
Authors: Sirenko Olena
Published: December 2024

The problems of intra- and inter-regional correlations have always been the most difficult in stratigraphic studies. Particular difficulties arise when comparing same-age subaerial continental sediments that are depleted in palaeontological remains. The spore-pollen analysis, which is a component of the palynological method, is most effective in stratigraphic dissection and correlation of subaerial sediments, since pollen and spores, with few exceptions, are almost the only paleontological remains contained in fossil soils and intersoil clays and loess. The author has developed the methodological approaches to stratification and correlation of continental Pliocene and Pleistocene sediments of the Ukraine based on palynological data (Sirenko, 2017). These methods are applied in the presented work. Due to the changes in the International Stratigraphic Scale, including a change in the position of the lower boundary of the Quaternary period, it became necessary to modify the existing stratigraphic schemes of Cenozoic sediments. Therefore, there is a need to obtain new representative materials on sediment characteristics, as well as to solve the problems of intra- and interregional correlations.
At the present stage of research on the Upper Cenozoic continental sediments of Ukraine, the least studied by the palynological and palaeopedological methods are Pliocene fossil soils and intersoil clays of the central and southeastern parts of the Dnipro-Donetsk depression. The presented paper is devoted to solving the issues of correlation of Upper Pliocene sediments of the Central Graben of the Dnipro-Donetsk Depression and its junction with the North-Western part of the Donetsk folded structure. Two sections (well 11 and the outcrop near Kamianka village) are located within these areas. The analysis of materials on the palynological characterization of the Kyzylyr and Bogdanivka climatoliths of these sections allowed us to identify the general patterns of the spore-pollen complexes that characterize them. The identified common patterns of the complexes from the Kyzylyr and Bogdanivka climatoliths can serve as a basis for comparing sediments of the same age located in different parts of the study area and for interregional correlations. The individual features of the described spore-pollen complexes are associated with different geomorphological and geographical locations of the compared sections. It is concluded that it is necessary to take into account the geographical and geomorphological location of the sections when performing stratigraphic and correlation constructions based on the palynological data. The efficiency of the palynological method for stratigraphic and correlation constructions is proved by comparing the sediments of two sections. The obtained conclusions on the correlation of the sediments of these sections are confirmed by the materials of palaeopedological studies.
Key words: Upper Pliocene; fossil soils; stratigraphy; palynological method; spore-pollen complex; Ukraine.
Erratum to: Assessment of the Biomass of Coniferous–Deciduous Forest by the Example of the Chashnikovo Training and Experimental Soil Ecological Center of Moscow State University
Authors: Telesnina V. M. , Podvezennaya M. A. , Sorokin A. S. , Meshalkina J. L.
Published: December 2024

An Erratum to this paper has been published: https://doi.org/10.3103/S0147687424040021
Digital Mapping of Soil Salinity in the Southern Steppe Zone of Russia Based on Artificial Neural Networks and Linear Regression
Authors: Prokopieva K. O. , Sobolev I. V.
Published: December 2024

Remote sensing data are an important source of information for monitoring and mapping vegetation cover. Machine-learning methods are a modern and powerful tool for data processing. However, machine-learning methods combined with remote sensing data have hardly been used for soil salinity assessment and mapping in the southern steppe zone of Russia. This paper examines the possibility of applying different spectral characteristics to map soil salinization in solonetzic complexes in the southern steppe zone of Russia (Republic of Kalmykia) using machine-learning methods. A number of predictors were considered, including reflectance coefficients in blue, green, red, and infrared spectral zones; vegetation indices (NDVI, NDVIt, TVI, SAVI, MSAVI, EVI1–EVI4); salinity indices (SI1–SI6); intensity indices (Int1, Int2); brightness index (BI); and an index proposed by the authors. High-resolution images from the QuickBird (2.4 m) and SuperView-1 (2 m) satellites were used. Soil salinity was assessed using two indicators: specific electrical conductivity in water suspension (EC1:5) and sodium activity (aNa1 : 5). Two different machine-learning models were applied in the study: linear regression and neural networks. According to the results obtained, the linear regression model for EC1 : 5 in 0- to 30-, 0- to 50-, and 0- to 100-cm layers has coefficients of determination (R2) of 0.53, 0.59, and 0.79 on the training sample; the test sample managed to obtain coefficients of determination of 0.49, 0.58, and 0.70, respectively. The neural-network model has significantly higher coefficients of determination: R2 for EC1 : 5 in 0- to 30-, 0- to 50-, and 0- to 100-cm layers on the training sample is equal to 0.68, 0.91, and 0.97, and on the test sample, 0.87, 0.86, and 0.88, respectively. This fact indicates a greater potential of this model for cartographic modeling of soil salinity. The best predictors were the following indices: NDVIt, TVI, EVI1, and Int1. The study has shown the potential of using the neural-network model and spectral indices obtained with SuperView-1 images for soil salinity mapping of solonetzic complexes in the south of the steppe zone of Russia.
Bistability and thermal response in doped silica integrated ring resonators
Authors: Moss David
Published: December 2024

The utilization and engineering of thermo-optic effects have found broad applications in integrated photonic devices, facilitating efficient light manipulation to achieve various functionalities. Here, we perform both an experimental characterization and theoretical analysis of these effects in integrated micro-ring resonators in high index doped silica (HIDS), which has had many applications in integrated photonics and nonlinear optics. By fitting the experimental results with theory, we obtain fundamental parameters that characterize their thermo-optic performance, including the thermo-optic coefficient, the efficiency for the optically induced thermo-optic process, and the thermal conductivity. The characteristics of these parameters are compared to those of other materials commonly used for integrated photonic platforms, such as silicon, silicon nitride, and silica. These results offer a comprehensive insight into the thermo-optic properties of HIDS based devices. Understanding these properties is essential for efficiently controlling and engineering them in many practical applications.
The Importance of Clinical Quality Registries in the Era of Electronic Medical Records
Authors: Alvandi Abraham Oshni
Published: December 2024

In the evolving landscape of healthcare, the integration of technology is central to enhancing the quality and efficiency of patient care. Two key technological systems—Electronic Medical Records and Clinical Quality Registries —play pivotal roles in modern healthcare. While Electronic Medical Records have become a standard tool for managing patient data, Clinical Quality Registries are vital for improving clinical quality and driving evidence-based practice. This article provides a historical overview of Electronic Medical Records and Clinical Quality Registries, exploring the complementary relationship between them and explaining why Clinical Quality Registries remain essential despite the widespread adoption of EMRs. It also discusses future directions for developing and improving Clinical Quality Registries.
The role of inharmonicity on listeners’ ability to hear out voices in polyphonic music
Authors: Bogaard Lisanne Gabriella , Mesik Juraj , Oxenham Andrew
Published: December 2024

While speech perception amidst competing talkers is well-studied, the perception of polyphonic music remains less explored. Pitch differences aid in source segregation, yet reductions in harmonicity have relatively little effect on speech intelligibility in such conditions. We hypothesized that source identification and segregation in music would rely more on harmonicity, given the central role of pitch in music and fewer alternative segregation cues, such as temporal incoherence. Polyphonic vocal passages from a female singer were generated from four-second MIDI excerpts. Inharmonic versions were created by introducing random frequency deviations within the first 30 harmonics of each note. Two main experiments were conducted: Experiment 1 involved participants estimating the number of voices in passages with one to five simultaneous voices; Experiment 2 involved participants attending to one voice within a two- to five-voice passage and reporting whether a final probe tone matched the pitch of the last note in the attended voice. Both experiments varied the degree of inharmonicity. Performance decreased with increasing inharmonicity and voice count, though participants remained above chance in all conditions. The results confirm the importance of harmonicity in source segregation within music but suggest that some segregation ability remains even when harmonicity is severely degraded.
Mind Meld or Mismatch: A Comparison of Visual Perspective Taking Towards Humans and Robots in Face-to-Face Interactions
Authors: Currie Joel , McDonough Katrina L , Wykowska Agnieszka , Giannaccini Maria Elena , Bach Patric
Published: December 2024

Visual Perspective Taking (VPT), the ability to spontaneously represent how another sees the world, underpins human social interaction, from joint action to predicting others’ future actions and mentalizing about their goals and mental states. Due to highly customisable, repeatable behaviours, robots provide an ideal platform to investigate cognitive abilities, such as VPT, in tightly controlled face-to-face interactions. Here, we validate a novel experimental paradigm that robustly measures the extent that people take a human and robot’s visual perspective during an interaction. We do this by measuring how much a partner’s perspective is spontaneously integrated with one’s own. In our study, participants are paired with either another person, an inanimate humanoid robot, or an animate humanoid robot that engages with the task alongside the participant and performs socially interactive behaviours. We show - for the first time in a face-to-face interaction - that participants generally take other people’s visual perspectives, but do not take the perspective of either the inanimate or animate robot. Our study demonstrates that, unlike with 2D depictions of robots, the moderately humanlike appearance of a physically present robot is not enough to promote VPT, neither are basic socially reactive or goal directed behaviours. We contribute an implicit, novel measure of social reasoning towards humans and robots in face-to-face interactions, a benchmark for social roboticists to aim for when creating cognitively penetrable robots, and an open challenge to the social robotics community – to create a robot or robot behaviours that facilitates VPT towards robots.
Impact of farm size on the function of landscape-level payments for ecosystem services: An agent-based model study
Authors: Wu Vince , Bell Andrew , Zhang Wei
Published: December 2024

Reducing pesticide use and restoring biodiversity are among the most pressing environmental challenges. Enhancing natural pest control ecosystem services through the integration of non-crop habitats (NCH) offers promising potential, creating a positive feedback loop by harnessing insect biodiversity to reduce pesticide reliance. Policy support is needed at the landscape level to encourage adoption of this currently underutilized approach, which depends on spatial coordination and collective behavioral change. Farm size, which critically influences farmers' agrochemical inputs, agroecological practices, and interactions with neighboring farms, varies across agricultural landscapes. It is unclear what role farm size plays in landscape-scale agri-environmental incentive programs, which have recently seen growing attention in scientific research and policy implementation. We employ framed field games and agent-based modeling as complementary research tools, exploring how farm size impacts the function of landscape-scale NCH subsidies aimed at encouraging coordinated provision and sharing of natural pest control services to reduce pesticide use. Our model simulation shows that, in landscapes of larger average farm size or lower farm size heterogeneity, NCH subsidies are significantly more effective at reducing pesticide use and increasing NCH efficiency in providing joint production benefits. Our results imply that landscape-scale payments for natural pest control ecosystem services face fewer obstacles as incentive-based mechanisms in landscapes of larger, more homogeneous farms, supporting the implementation of landscape-scale initiatives in such areas to effectively enhance ecosystem services. Our findings contribute to the growing discussion around landscape-level financial incentive programs that depend on spatial coordination, highlighting the importance of farmers’ land holding size.
SC-PREC4SA: A serially complete daily precipitation dataset for South America
Authors: Huerta Adrian , Serrano-Notivoli Roberto , Brönnimann Stefan
Published: December 2024

This study introduces the serially complete precipitation dataset for South America (SC-PREC4SA), a daily precipitation dataset (1960-2015) designed to address observational gaps and ensure temporal consistency across diverse climates. The raw dataset underwent quality control, gap-filling, and homogenization procedures. Applied robust quality control highlighted common but also overlooked issues, enhancing data reliability. Gap-filling achieved a mean accuracy of 70 % (60 %) in the prediction on wet/dry days (wet-day magnitude). These metrics highlight the reliability of the gap-filling process, particularly in mixed climates, where station networks are sparse. The homogenization algorithm, focused primarily on wet days, effectively reduced inhomogeneities while preserving precipitation variability across South America. By integrating a unified framework and multiple outputs from 7799 stations, SC-PREC4SA provides a robust dataset that captures daily precipitation patterns with high to moderate accuracy and consistency. It offers a valuable resource for climate research, hydrological modeling, and water resource management, addressing longstanding challenges in precipitation data availability and quality for South America.
Delineating HCV forest areas using density analysis: it's not clear-cut
Authors: Englund Oskar
Published: December 2024

High conservation value (HCV) areas include natural habitats with high ecological, biological, social or cultural values. The use of spatial analysis using Geographic Information Systems (GIS) to identify HCV areas is more cost-efficient and less time consuming that field surveys. GIS-based approaches can also be necessary for identifying HCV areas in heterogeneous landscapes where, e.g., HCV forests are scattered across a production landscape. This study explores the use of density analysis to identify and delineate HCV forest areas in the county of Norrbotten, Sweden (99,000 km2). First, multiple official spatial datasets were used to identify the existence of HCV forest with a resolution of 10 m. Second, the share of HCV forest in relation to total forest area (i.e., HCV forest density) within a moving window of varying size around each 10 m cell in the county was calculated. Finally, HCV areas were delineated using different thresholds for HCV forest density. Stakeholders were involved in every step. The results show that outcomes are highly dependent both on the size of the moving window and the density threshold. The use of a smaller search window results in greater precision and smaller HCV areas, while a larger search window identifies larger areas but fails to identify small or irregularly shaped HCV areas. Similarly, a low density threshold can be used to identify small and irregularly shaped HCV areas but results in inaccurate delineation of larger homogenous HCV areas. The opposite can be observed for a large density threshold. The use of density analysis for the purpose of delineating HCV areas in mixed forest landscapes can be effective for rationalizing the inventory of HCV areas, but method selection is critical and manual evaluation and adjustments are necessary. The potential for further method development, considering other relevant aspects, e.g., ecological connectivity, is notable.
Evaluating Temporal and Spatial Variations in Vegetation Coverage in the Inner Mongolia Autonomous Region (2004-2023) Using kNDVI
Authors: guangpu wei , wenjun Zhang , zhiheng Zhu , yaxian Gao , xiaoyan Yu
Published: December 2024

The Inner Mongolia Autonomous Region (IMAR) is a crucial ecological zone in China, facing significant environmental challenges, particularly climate change. To better understand vegetation dynamics in this region, this study examines vegetation cover trends from 2004 to 2023 and identifies their driving factors using an innovative kernel-based Normalized Difference Vegetation Index (kNDVI) dataset from MOD13Q1 V6.1 data in Google Earth Engine (GEE). Spatiotemporal dynamics in vegetation cover were assessed using Theil-Sen median trend analysis, the Mann-Kendall test, and the Hurst exponent. Additionally, correlation analyses explored links between kNDVI and climate variables, including precipitation, temperature, and solar radiation (srad). Results revealed a northeast-to-west gradient in vegetation cover, with 35.36% of vegetation improving, 49.95% remaining stable, and 14.69% degrading. Future vegetation trends indicate 70.96% of the region has uncertain trajectories, while 29.04% shows potential for sustainable development. Among the climatic factors influencing vegetation cover, precipitation was the primary driver, followed by temperature and srad. Climatic factors were significant in western Hulunbuir and central Ulanqab, whereas non-climatic factors, including human activities and land-use changes, were dominant in Hulunbuir, Xing’an League, and Xilin Gol. These findings underscore the necessity for region-specific ecological management strategies integrating climatic and anthropogenic factors to enhance ecosystem resilience.
Audiovisual Decision-Making and Sensory Evidence Weighting in Young Adults with ADHD-like Traits
Authors: Tuip Rosanne , Lorteije Jeannette , Nauta-Jansen Lucres , Dekkers Tycho , Van Opstal Filip
Published: December 2024

Multisensory integration (MSI) allows the brain to combine information from different sensory modalities to form a coherent perception of the environment. Externalizing disorders with impulsivity as a key symptom such as Attention-Deficit/Hyperactivity Disorder (ADHD) have been associated with altered sensory processing and decision-making. This study investigated the relationship between impulsivity and impulsivity related behaviours, and multisensory integration. Participants had to discriminate between two visual gratings, and/or two sounds presented to the right and left ear based on respectively contrast and loudness in a two-alternative forced-choice task. The study included 44 participants, 13 of whom were diagnosed with ADHD or Disruptive Behaviour Disorders. Results show similar task performance across participants. Performance accuracies were highest on audiovisual trials and participants responded fastest on auditory trials, independent of impulsivity levels. Examining the timescale of evidence weighting revealed that early sensory information contributed most to decisions, with dynamic dominance switching between visual and auditory modalities. We found no evidence that the temporal dynamics were affected by impulsivity. These findings suggest that impulsivity and impulsivity related behaviours do not significantly affect MSI during our task and that sensory processing mechanisms remain robust against individual impulsivity levels.
Using AI in Grounded Theory research – a proposed framework for a ChatGPT-based research assistant
Authors: van Veggel Nieky , Engward Hilary , Birks Melanie , Mills Jane
Published: December 2024

The purpose of this paper is to explore the potential application of ChatGPT in relation to grounded theory. Our focus is building a case as to its usefulness to support the research process as an assistant to the researcher, rather than to replace the intellectual rigour needed to conduct credible grounded theory research. To aid this, we present a framework for using ChatGPT to assist researchers’ decision making and analysis. By structuring the analytical process into clear research phases - from initial coding through to visualisation and expansion - and providing specific prompts and instructions for each phase, the framework enables researchers to systematically harness AI capabilities whilst maintaining the methodological rigour and accountability of the researcher in leading this process. We argue that the framework's strength lies in its careful alignment with established grounded theory processes, particularly in its emphasis on constant comparison throughout all analytical phases. As many grounded theory methods are employed in other qualitative research designs, we argue that the proposed framework may have potential for use in a broad range of designs, however, we also suggest that this is the start of new conversations about how researchers can harness AI to assist their decision making and intellectual work, processes which can never be fully replaced.