bluuebunny/crossref_metadata_2025 huggingface dataset:
A Boatable Days Framework for Quantifying Whitewater Recreation—Insights from Three Appalachian Whitewater Rivers
Authors: Zegre Nicolas , Shafer Melissa , Twilley Danny , Corio Greg , Strager Michael P. , Strager Jacquelyn M. , Kinder Paul
Published: April 2024

Outdoor recreation is one of the fastest-growing economic sectors in the United States and is being used by communities to support economic development, social prosperity, and environmental protection. For communities that have whitewater rivers, whitewater recreation provides a powerful economic alternative to ailing extractive and manufacturing industries that have long dominated rural communities. In order to promulgate a whitewater recreation-based economy, stakeholders need information about their whitewater resources, including how often and when they can be paddled. The overall goal of this study, therefore, was to develop an analytical framework that quantifies boatable days, that is, the number of days that streamflow exceeds the minimum boatable flow levels needed to paddle downstream. Importantly, our framework uses publicly available streamflow and minimum boatable flow information that can be used to quantify boatable days for any whitewater run in the country, irrespective of watershed size or river flashiness. We applied the framework to three world-class whitewater rivers in the central Appalachian Mountains, USA, and found abundant and stable boating opportunities throughout the year. Our results underscore the potential for strategically developing whitewater recreation as a means of economic diversification and highlight how boatable days analysis can be used for quantifying whitewater resources.
Dynamic Bayesian-Network-Based Approach to Enhance the Performance of Monthly Streamflow Prediction Considering Nonstationarity
Authors: Zhang Wen , Xu Pengcheng , Liu Chunming , Fang Hongyuan , Qiu Jianchun , Zhang Changsheng
Published: April 2024

In recognizing the pervasive nonstationarity of hydrometeorological variables, a paradigm shift towards alternative analytical methodologies is imperative for refining hydroclimatic data modeling and prediction. We introduce a novel approach leveraging nonstationary Graphical Modeling and Bayesian Networks (NGM-BNs) tailored for hydrometeorological applications. Demonstrated through monthly streamflow forecasting in the Kashgar River Basin of China, our method illuminates the temporal evolution of network relationships, underscoring the dynamism inherent in both input variables and modeling parameters. The key to our approach is identifying the most suitable time horizon (MST) for model updates, which is intricately problem-specific and crucial for peak performance. This methodology not only unveils changing predictor significance across varying flow conditions but also elucidates the fluctuating temporal links between variables, especially under the lens of climate change, for instance, the growing impact of snowmelt on the Kashgar Basin’s streamflow. Compared to stationary counterparts, our nonstationary Bayesian framework excels in capturing extreme events by adeptly accommodating temporal shifts, outperforming traditional models including both stationary and nonstationary variants of Support Vector Regression (SVR) and Adaptive Neuro-Fuzzy Inference Systems (ANFIS).
A Novel Modeling Approach to Quantify the Flood Resilience of Cities
Authors: Xu Wenping , Du Wenwen , Proverbs David , Cai Xinyan
Published: April 2024

In recent years, large-scale flood events have occurred more frequently, and the concept of resilience has become a prevalent approach to managing flood risk in many regions. This has led to an increased interest in how to effectively measure a city’s flood resilience levels. This study proposes a novel modeling approach to quantify urban flood resilience by developing D-number theory and analytical hierarchy process (AHP) models, which are applied to three cities in China using the VIse Kriterijumski Optimizacioni Racun (VIKOR) method. The findings reveal that Hefei City has the most effective level of flood resilience, Hangzhou City was ranked second, while Zhengzhou City has the least effective level of flood resilience. This study provides a new scientific basis on how to quantify flood resilience at the city scale and provides a useful reference for these three specific cities. The methods and approaches developed in this study have the potential to be applied to other cities and in the related aspects of disaster prevention, recovery, and reconstruction.
Use of the Gas Emission Site Type Method in the Evaluation of the CO2 Emissions in Raised Bogs
Authors: Cieśliński Roman , Kubiak-Wójcicka Katarzyna
Published: April 2024

Peatbogs are important in global greenhouse gas budget estimates. The main aim of the work was to assess the amount of greenhouse gas emissions based on the Greenhouse Gas Emission Site Type (GEST) method and compare them with actual field measurements. The research was carried out in selected peatbog areas in the coastal zone of northern Poland. The proposed method allowed us to assess whether the restoration treatments carried out in peatbogs contributed to the emission of these gases. The results of this research using the GEST method indicate that, in the studied peatbog areas, the reduction in CO2 emissions was approximately 12%. These results were compared with actual measurements of greenhouse gas emissions made using the chamber method in 2018. The average CO2 emission for the entire peatbog was 16,338.7 t CO2-eq./yr. Comparing this result with the result obtained using the GEST method, it should be stated that it is lower by 2.464.1 t CO2-eq./year, which gives an approximately 13% overestimation of the result by the Gas Emission Site Type method.
The Use of Macrophytes for the Removal of Chlorpyrifos from the Aquatic Environment
Authors: Sobiecka Elżbieta , Mroczkowska Milena , Olejnik Tomasz P. , Nowak Agnieszka
Published: April 2024

Phytoremediation is one of the effective technologies for removing pollutants from the aquatic environment. Toxic compounds such as chlorpyrifos can affect the physiological processes of aquatic plants, causing secondary oxidative stress in plant tissues. Macrophytes, like other organisms inhabiting the contaminated ecosystem, have developed a system of defense mechanisms, thanks to which plants can still exist in their natural ecosystem. Our research is a summary of the previously presented results of the effectiveness of purifying contaminated water with chlorpyrifos in the phytoremediation process and the second type of phytoremediation supported by microorganisms, which intensify the process of removing contaminants from the environment. This research concerned changes in nonenzymatic and enzymatic antioxidants in Canadian seaweed, needle spikerush and water mint caused by chlorpyrifos. The research determines changes in the total concentration of polyphenols, flavonoids and dyes (chlorophyll A, chlorophyll B, anthocyanins and carotenoids) as well as differences in the activity of guaiacol peroxidase and glutathione S-transferase. The analysis of the results showed an increase in the content of polyphenols and flavonoids. The reverse trend was observed in the case of the pigment content. The appearance of chlorpyrifos in the environment caused an increase in the activity of the examined enzymes. The process involving microorganisms that were obtained from places contaminated with pesticide proved to be more effective. This shows the cooperation of species living in an investigated ecosystem.
Second-Order Central Difference Particle Filter Algorithm for State of Charge Estimation in Lithium-Ion Batteries
Authors: Chen Yuan , Huang Xiaohe
Published: April 2024

The estimation of the state of charge (SOC) in lithium-ion batteries is a crucial aspect of battery management systems, serving as a key indicator of the remaining available capacity. However, the inherent process and measurement noises created during battery operation pose significant challenges to the accuracy of SOC estimation. These noises can lead to inaccuracies and uncertainties in assessing the battery’s condition, potentially affecting its overall performance and lifespan. To address this problem, we propose a second-order central difference particle filter (SCDPF) method. This method leverages the latest observation data to enhance the accuracy and noise adaptability of SOC estimation. By employing an improved importance density function, we generate optimized particles that better represent the battery’s dynamic behavior. To validate the effectiveness of our proposed algorithm, we conducted comprehensive comparisons at both 25 °C and 0 °C under the new European driving cycle condition. The results demonstrate that the SCDPF algorithm exhibits a high accuracy and rapid convergence speed, with a maximum error which never exceeds 1.30%. Additionally, we compared the SOC estimations with both Gaussian and non-Gaussian noise to assess the robustness of our proposed algorithm. Overall, this study presents a novel approach to enhancing SOC estimation in lithium-ion batteries, addressing the challenges posed by the process itself and measurement noises.
Research on Automatic Optimization of a Vehicle Control Strategy for Electric Vehicles Based on Driver Style
Authors: Song Guozhen , Xi Jianguo , Gao Jianping
Published: April 2024

In order to reduce energy consumption, improve driving mileage, and make vehicles adopt driver styles, research on automatic optimization of control strategy based on driver style is conducted in this paper. According to the structure of the powertrain, the vehicle control strategy is designed and a driver-style recognition model based on fuzzy recognition is added to the rule-based control strategy to improve the driver adaptation of the vehicle. In order to further improve the energy-saving effect of the strategy, the control strategy based on driver style is automatically optimized by the Isight optimization platform to make the strategy reach optimum. The test results show that the strategy based on driver style is able to adapt to different styles of drivers and the economy of the vehicle is improved by 2.06% compared with pre-optimization, which validates the effectiveness of the strategy.
Etnobiografia e semiopedagogia das coisas
Authors: Rodrigues Marcely Soares , Gamba Junior Nilton Gonçalves , Machado Fernanda de Morais
Published: April 2024

Este artigo aborda a epistemologia do design, focando no impacto simbólico dos objetos, parte de um estudo mais amplo sobre a purpurina em uma manifestação do carnaval de rua carioca, os Bate-Bolas. Destacamos quatro métodos científicos, inicialmente explorando as relações entre etnografia e biografia das coisas, resultando na etnobiografia voltada ao estudo de objetos. Em seguida, as ideias de pedagogia das coisas e semiologia da realidade de Pier Paolo Pasolini ampliam a análise, incluindo aspectos simbólicos, estéticos, éticos e políticos no estudo da cultura material. Esta reflexão integra um projeto de pesquisa, destacando o referencial conceitual, a metodologia e o potencial de aplicação no campo.
Platinosomiasis felina: la causa de hepatopatía menos pensada
Authors: Astigarraga María José Tintel , Murto Maria Gabriela Vera , Colmán María Paz Guillén
Published: April 2024

El presente trabajo tiene como propósito describir de una manera amplia y objetiva los aspectos más resaltantes de la Platinosomiasis felina. La cual, muchas veces pasa desapercibida debido a la diversidad de síntomas; de inespecífica a mortal. Este estudio, constituye el primer reporte de Platinosomiasis en Paraguay. Aunque se considera de distribución mundial, aislados casos son reportados. Teniendo en cuenta que “No se puede diagnosticar algo que no se conoce”, por lo que se destaca la importancia de tener un conocimiento amplio y actualizado sobre las enfermedades que agobian a los gatos.
El estudio de las emociones en el contexto del neuromarketing: una aproximación práctica y conceptual
Authors: Rodríguez-Martínez Guillermo
Published: April 2024

La evaluación y medición de las emociones se ha convertido en un pilar esencial para comprender los procesos actitudinales implicados en la exposición y recepción de mensajes publicitarios. Diversos procedimientos e instrumentos se emplean desde el neuromarketing para revisar las emociones elicitadas en las personas cuando se exponen a variados tipos de comunicación de marca, incluyendo, fundamentalmente, técnicas de registro de actividad oculomotora, lectura de expresiones faciales y cotejo de respuestas eléctricas a nivel de conexiones neuronales. El presente artículo busca, desde una revisión puramente teórica, escudriñar las tres técnicas arriba señaladas, cotejando literatura científica por la cual comprender sus alcances y su relevancia en el marco del entendimiento del consumidor en una perspectiva neurocientífica.
Acessibilidade na biblioteca: cotejo entre a Universidade de Coimbra e Universidade Federal do Espírito Santo
Authors: Souza Neusa Balbino de , Ramos José Alimateia Aquino , Silva Rosilene Vieira da , Borges Sulamita Tavares
Published: April 2024

Este estudo teve como objetivo analisar e comparar a acessibilidade da pessoa com deficiência visual na Biblioteca Geral da Universidade de Coimbra/BGUC e na Biblioteca Central da Universidade Federal do Espírito Santo/BC. Especificamente pretendeu, ao comparar, identificar serviços disponibilizados à pessoa com deficiência visual e como o acervo é gerenciado para assegurar o uso pleno dos recursos informacionais da biblioteca; a fim de compreender como a BGUC e a BC estão preparadas para responder às necessidades de seus usuários com deficiência visual. Adota procedimentos de estudo comparativo, pesquisa bibliográfica e documental visando a análise e a combinação das informações. Para a coleta de informações utilizou-se documentos, fotografias, entrevistas e observação direta nas bibliotecas objeto do estudo. O estudo aponta que, as duas instituições têm tempos e formas de funcionamentos distintos e embora haja similaridades em relação ao estado da arte dos serviços prestados, percebe que ambas carecem de promoção de cursos de aperfeiçoamento mais específicos para profissionais que atuam na biblioteca, em especial no atendimento a pessoas com deficiência.
Indicadores de contaminação microbiológica em peixes comercializados em Santo Amaro - MA
Authors: Silva Raquel Leite da , Rodrigues Luana Milena Pinheiro , Silva Rejeana Márcia Lima
Published: April 2024

O pescado é de extrema importância na dieta do ser humano por sua riqueza de nutrientes, alto teor proteico, lipídios de excelente qualidade e baixo teor de colesterol. Santo Amaro do Maranhão é reconhecido por ser polo turístico, onde o consumo e a comercialização de peixes têm grande importância econômica e social. Entretanto, pouco se conhece sobre qualidade microbiológica dos peixes ali capturados e comercializados. O presente trabalho teve por objetivo pesquisar indicadores de contaminação microbiológica em amostras de peixes comercializados na cidade de Santo Amaro- MA. Foram realizadas quatro (04) coletas, totalizando 20 amostras. As análises foram realizadas no laboratório de Microbiologia do Instituto Federal do Maranhão- Campus São Luís Maracanã (IFMA). Os resultados obtidos foram positivos para bactérias do grupo coliformes, com a variação mínima de 9,2x102 e máxima de ≥ 1,1x105 para coliformes totais e variação mínima de <3,0 e máxima de ≥1,4x103 para coliformes termotolerantes. Não foi evidenciada presença de Staphylococcus coagulase positivo. Dessa forma, a qualidade microbiológica do alimento analisado está comprometida pela presença das bactérias encontradas, entretanto, sugere-se que pesquisas de outros microrganismos sejam realizadas para que se tenha uma visão mais aprofundada dessa qualidade.
Low-Quality Video Target Detection Based on EEG Signal Using Eye Movement Alignment
Authors: Shi Jianting , Bi Luzheng , Xu Xinbo , Feleke Aberham Genetu , Fei Weijie
Published: April 2024

The target detection based on electroencephalogram (EEG) signals is a new target detection method. This method recognizes the target by decoding the specific neural response when an operator observes the target, which has important theoretical and application values. This paper focuses on the EEG detection of low-quality video targets, which breaks through the limitation of previous target detection based on EEG signals only for high-quality video targets. We first design an experimental paradigm for EEG-based low-quality video target detection and propose an epoch extraction method based on eye movement signals to solve the asynchronous problem faced by low-quality video target detection. Then, the neural representation in the process of operator recognition is analyzed based on the time domain, frequency domain, and source space domain, respectively. We design the time-frequency features based on continuous wavelet transform according to the neural representation and obtain an average decoding test accuracy of 84.56%. The research results of this paper lay the foundation for the development of a video target detection system based on EEG signals in the future.
Uncovering the Pre-Deterioration State during Disease Progression Based on Sample-Specific Causality Network Entropy (SCNE)
Authors: Zhong Jiayuan , Tang Hui , Huang Ziyi , Chai Hua , Ling Fei , Chen Pei , Liu Rui
Published: April 2024

Complex diseases do not always follow gradual progressions. Instead, they may experience sudden shifts known as critical states or tipping points, where a marked qualitative change occurs. Detecting such a pivotal transition or pre-deterioration state holds paramount importance due to its association with severe disease deterioration. Nevertheless, the task of pinpointing the pre-deterioration state for complex diseases remains an obstacle, especially in scenarios involving high-dimensional data with limited samples, where conventional statistical methods frequently prove inadequate. In this study, we introduce an innovative quantitative approach termed sample-specific causality network entropy (SCNE), which infers a sample-specific causality network for each individual and effectively quantifies the dynamic alterations in causal relations among molecules, thereby capturing critical points or pre-deterioration states of complex diseases. We substantiated the accuracy and efficacy of our approach via numerical simulations and by examining various real-world datasets, including single-cell data of epithelial cell deterioration (EPCD) in colorectal cancer, influenza infection data, and three different tumor cases from The Cancer Genome Atlas (TCGA) repositories. Compared to other existing six single-sample methods, our proposed approach exhibits superior performance in identifying critical signals or pre-deterioration states. Additionally, the efficacy of computational findings is underscored by analyzing the functionality of signaling biomarkers.
ChatGPT and Corporations of Mega-journals Jeopardize the Norms That Underpin Academic Publishing
Authors: Rahimi Farid , Talebi Bezmin Abadi Amin
Published: April 2024

Those who participate in and contribute to academic publishing are affected by its evolution. Funding bodies, academic institutions, researchers and peer-reviewers, junior scholars, freelance language editors, language-editing services, and journal editors are to enforce and uphold the ethical norms on which academic publishing is founded. Deviating from such norms will challenge and threaten the scholarly reputation, academic careers, and institutional standing; reduce the publishers’ true impacts; squander public funding; and erode the public trust to the academic enterprise. Rigorous review is paramount because peer-review norms guarantee that scientific findings are scrutinized before being publicized. Volunteer peer-reviewers and guest journal editors devote an immense amount of unremunerated time to reviewing papers, voluntarily serving the scientific community, and benefiting the publishers. Some mega-journals are motivated to mass-produce publications and attract the funded projects instead of maintaining the scientific rigor. The rapid development of mega-journals may diminish some traditional journals by outcompeting their impacts. Artificial intelligence (AI) tools/algorithms such as ChatGPT may be misused to contribute to the mass-production of publications which may have not been rigorously revised or peer-reviewed. Maintaining norms that guarantee scientific rigor and academic integrity enable the academic community to overcome the new challenges such as mega-journals and AI tools.
EJKM Editorial: 2024 State of the Journal
Authors: Scott Erickson  , Rothberg Helen
Published: April 2024

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ANALISIS MOTIVASI BELAJAR SISWA KELAS XI C SMAN 1 TANA TIDUNG DALAM PEMBELAJARAN BIOLOGI MATERI SISTEM GERAK
Authors: Ibitanija Via , Warni Warni , Retnaningati Dewi
Published: April 2024

Motivasi belajar menjadi salah satu faktor yang berpengaruh terhadap prestasi belajar selain lingkungan sekolah dan disiplin belajar siswa. Jenis penelitian ini menggunakan metode Observasi, yang menggunakan teknik analisis data kuantitatif dan kualitatif.. Berdasarkan hasil analisis yang telah dilakukan, Persentase motivasi belajar siswa kelas XI C dalam pembelajaran biologi terbagi beberapa katogori yaitu ; Motivasi siswa sangat tinggi 20%, Motivasi siswa Tinggi 60%, Motivasi siswa cukup 17% dan Motivasi siswa kurang 3% . Hal ini menunjukan sebagian besar motivasi belajar siswa dalam pembelajaran sistem gerak kelas XI C masuk dalam tingkat motivasi tinggi, dimana hasil ujian siswa terhadap materi sistem gerak juga menunjukan hasil yang baik, nilai rata-rata siswa sesuai dengan ketuntasan KKM. Dimana siswa sangat menyenangi pembelajaran sistem gerak dengan mengunakan metode Game Based Learning yang mana dapat membuat siswa fokus belajar dan dapat menumbuhkan motivasi belajar siswa. Ketika motivasi belajar siswa tinggi maka dapat mendorong siswa untuk dapat mencapai hasil belajar yang baik.
Trajetórias Institucionais em Estudos de Políticas Públicas de Esporte e Lazer
Authors: Rampazzo Marcelo , Myskiw Mauro
Published: April 2024

No contexto de preocupações sobre a densidade da produção de conhecimentos, o presente ensaio teve como objetivo sistematizar uma reflexão sobre abordagens teórico-conceituais para investigar dimensões institucionais colocadas em ação em análises de continuidades/mudanças das Políticas Públicas de Esporte e Lazer (PPELs). Sem a pretensão de realizar um estudo de revisão, mas inspirados em movimentos analítico-reflexivos do novo institucionalismo, selecionamos, estudamos e produzimos sistematizações baseadas em 29 pesquisas desenvolvidas no Brasil. Com base nisso apontamos e delimitamos 4 abordagens teórico-metodológicas emergentes, entendidas como movimentos de adensamento do campo e possibilidades investigativas das dimensões institucionais. Apontamos essas abordagens como caminhos de aprofundamento investigativos que fazem sentido no campo das PPELs no Brasil.
Burkholderia cepacia: Understanding Pathogenicity, Virulence Factors, and Therapeutic Strategies
Authors: Saeed Muhammad , Rasheed Farhan , Jamil Iqra , Khurshid Mohsin , Rasool Muhammad Hidayat , Saba Noore , Ahmad Maqsood , Wazeer Akhlaaq , Waheed Abdul
Published: April 2024

Burkholderia cepacia, formerly described as Pseudomonas cepacia, belongs to the Burkholderia cepacia complex (Bcc), a collection of closely related gram-negative bacteria that is considered a leading organism in causing pulmonary infections in humans. In healthcare settings, Burkholderia species have the ability to colonise medical equipment and surfaces, posing a threat of nosocomial infections. Moreover, they exhibit inherently resistance to various classes of antibiotics, thus being nominated as multi-drug resistant pathogens (MDR), that is why treatment of infections caused by these organisms is challenging. Enzymes such as metalloproteases, serine proteases, metalloproteases, and other extracellular lipases play a major role in its pathogenesis. In addition to this, different components, such as pili, flagella, and lipopolysaccharide (LPS), have a role in both the motility of the bacterial cell as well as its adherence to host cells. Identification is usually done with different biochemical reactions such as late oxidase activity, oxidation of glucose, variable lysine decarboxylation, maltose, mannitol, and lactose, and hydrogen sulphide gas production. Advanced techniques like semi-nested PCR, real-time PCR, or MALDI-TOF mass spectrometry enable quick and precise identification.

Key words: Multi-drug resistant, Polymerase chain reaction, Burkholderia cepacia complex, matrix assisted laser desorption ionisation, time of flight mass spectrometry
Acercamiento al uso de las tecnologías educativas en el proceso pedagógico de posgrado. Caso de la Universidad Técnica de Manabí
Authors: Linzán Saltos María Fernanda , De la Peña Consuegra Geilert , Vega Intriago Jisson Oswaldo , Murillo Mora Mónica Katherine
Published: April 2024

Las Tecnologías de la Información y las Comunicaciones (TIC) han seguido una trayectoria de desarrollo sistemático y acelerado, marcando transformaciones en diversos sectores de la sociedad. En este contexto dinámico, las instituciones de educación superior enfrentan el imperativo de adaptarse y evolucionar de manera coherente y estratégica en respuesta al progreso tecnológico, científico-técnico y metodológico. Se exige del reconocimiento de niveles de integración en los procesos de formación de posgrado y estas tecnologías. Desde esta perspectiva se planteó como objetivo general, describir experiencias de avanzada en función de las vivencias pedagógicas en la Educación de Posgrado en la Facultad de Postgrado de la Universidad Técnica de Manabí (UTM). Se utilizó una metodología de tipo descriptiva, transversal y con diseño no experimental, con diversos métodos científicos, como el estudio documental, analítico-sintético, sistematización, entrevista no estructurada y estudio de caso. Se analizó la realidad de los programas de posgrado en la Facultad de Posgrado de la UTM, con el empleo de las TIC, y en correspondencia se expresó la emergencia de estrategias orientadas a la actualización de los docentes. Se consultaron diversos autores con estudios relacionados con el empleo de ambientes virtuales y la modalidad en línea en el 4to nivel, y se pudo apreciar, que la tendencia es al aumento de esta modalidad en los programas y así los hace más competitivos y con mayor demanda.
First evidence of a geodetic anomaly in the Campi Flegrei caldera (Italy) ground deformation pattern revealed by DInSAR and GNSS measurements during the 2021-2023 escalating unrest phase
Authors: Giudicepietro Flora , Casu Francesco , Bonano Manuela , Luca Claudio De , Martino Prospero De , Traglia Federico Di , Vito Mauro Antonio Di , Macedonio Giovanni , Manunta Michele , Monterroso Fernando , Striano Pasquale , Lanari Riccardo
Published: April 2024

Campi Flegrei caldera is an Italian high risk volcano that, since the
last two decades, is experiencing a progressively more intense long term
uplift, accompained by increasing seismicity and geochemical emissions.
Ground deformation shows an axisymmetric bell-shaped pattern, with
maximum uplift of about 120 cm, from 2005, in the caldera central area.
We analyzed Sentinel-1 and COSMO-SkyMed Multi Temporal DInSAR
measurements and GNSS data to reveal and investigate a geodetic anomaly
that clearly manifested since 2021, deviating from the typical
bell-shaped deformation pattern. This anomaly is located east of the
Pozzuoli town, in the Mt. Olibano-Accademia area, covers an area of
about 1.3 km2 and shows, in comparison to surrounding areas, a maximum
uplift deficit of about 9 cm between 2021 and 2023. To investigate the
anomaly causes, we analyzed the caldera seismicity and inverted the
DInSAR data to determine the primary source of the ground deformation
pattern, which results consistent with a penny-shaped source, located
approximately 3800 m beneath the Pozzuoli town, with a radius of about
1200 m. We also found that the time evolution of the uplift deficit in
the geodetic anomaly area very well correlates with the earthquake
occurrence, and the greater magnitude seismic events occurred in this
area. These considerations suggest that the geodetic anomaly is
connected to the primary deformation source tensile stress regime. This
interpretation aligns with the concentration of earthquakes and
hydrothermal fluid emissions in this area, which indicate the presence
of faults, fractures and hydrothermal fluid circulation. This phenomenon
can be elucidated by the influence of the Mt. Olibano-Accademia lava
domes lithological heterogeneities, that can induce a localized reaction
to ground deformation during the inflationary phase. For these reasons,
the geodetic anomaly area represents a zone of crustal weakness amidst
the ongoing unrest that requires careful monitoring and study.
Beneficial Effects of Low Carbohydrate Diet (LCD) with Recently Emerged Solid Evidence
Authors: Wood Michael , Bando Hiroshi , Ebe Koji
Published: April 2024

Various discussions have continued concerning low carbohydrate diet (LCD) and calorie restriction (CR). The American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD) have gradually recognized LCD as the recommendation for nutritional treatment. Recent reports have shown the predominance of LCD with clinical evidence from the accumulated data of the Nurses’ Health Study (NHS) and Health Professionals Follow-up Study (HPFS), with analyses of total LCD scores (TLCDS). Using TLCDS to analyze 139 thousand person-years, the hazard ratio (HR) of total mortality was 0.87 for TLCDS and 0.76 for vegetable (VLCDS). Authors continue developing LCD activities through the Japan LCD Promotion Association (JLCDPA).
Building Customized Chatbots for Document Summarization and Question Answering using Large Language Models using a Framework with OpenAI, Lang chain, and Streamlit
Authors: Pokhrel Sangita , Ganesan Swathi , Akther Tasnim , Karunarathne Lakmali
Published: April 2024

This research presents a comprehensive framework for building customized chatbots empowered by large language models (LLMs) to summarize documents and answer user questions. Leveraging technologies such as OpenAI, LangChain, and Streamlit, the framework enables users to combat information overload by efficiently extracting insights from lengthy documents. This study discussed the framework's architecture, implementation, and practical applications, emphasizing its role in enhancing productivity and facilitating information retrieval. Through a step-by-step guide, this research has demonstrated how developers can utilize the framework to create end-to-end document summarization and question-answering applications.
Orthosurgical treatment to obtain facial aesthetics
Authors: Abdo Gravina Marco , Ramos de Faria Fernanda , Metropolo Moreira Leonardo , Luiz Mota-Júnior Sergio
Published: April 2024

In the present case report, a 24-year-old male underwent a combined surgical and orthodontic treatment to enhance facial aesthetics. The treatment consisted of the use of an Edgewise fixed appliance (0.022 x 0.028-in), and was complemented by a mini Wing osteotomy. The results of the treatment improved facial contours, defining and elongating the submental area, and eliminating the adipose tissue. Orthodontically, the preservation of the canines and molars Class I relationship, and the maintenance of the compensatory projection of the lower incisors were observed. Satisfactory overbite and overjet were achieved, along with a levelled curve of Spee. The combined treatment modalities led to the achievement of functional occlusion and facial aesthetics.
AVALIAÇÃO PRÉ-ANESTÉSICA E SEUS OBJETIVOS REVISÃO DE LITERATURA
Authors: Silva Rozimeri dos Santos Basso da , Andrade Laiz Rosa e , Martins Kelvin Lucas Rodrigues , Santos Dyago Silva , Borges Thais Rodrigues Ferreira , Flores Kevillyn Maria Nava , Nascimento Cinthya Oliveira , Batista Filipe Souza do Nascimento , Santos Mayco Silva dos , Villela Maria Beatriz Cociuffo , Sasso Matheus Testa das Neves , Sasso Luiza Testa das Neves , Holzle Daiana Elsa de Moura
Published: April 2024

A administração anestésica desempenha um papel vital no cenário médico e cirúrgico, podemos fazer uma avaliação pré-anestésica e  também uma avaliação  garantindo o conforto e a segurança dos pacientes durante procedimentos diversos. Este artigo "Desmistificando os Tipos de Anestesia, dentro de algumas avaliações: Uma Exploração Abrangente das Opções e Procedimentos" tem como objetivo esclarecer os diferentes tipos de anestesia disponíveis, suas características distintas, aplicações clínicas e procedimentos envolvidos. Ao longo deste trabalho, exploramos cinco tipos fundamentais de anestesia: geral, regional, local, sedação consciente e as suas implicações na abordagem multidimensional da saúde. Abordamos a administração de cada tipo, enfatizando suas indicações específicas, considerações de segurança e riscos associados. É essencial ressaltar que a personalização do tratamento é fundamental, com a escolha da abordagem anestésica considerando as necessidades individuais do paciente, tipo de procedimento e fatores médicos relevantes. O artigo destacou a importância da colaboração interdisciplinar entre médicos, anestesiologistas e enfermeiros para garantir um plano anestésico seguro e eficaz. Além disso, foram abordados os cuidados pós-anestésicos e a recuperação, fornecendo orientações essenciais para a fase pós-operatória, incluindo monitoramento, controle da dor e medidas preventivas. Ao compreender as diferentes abordagens anestésicas e os procedimentos envolvidos, os pacientes estão mais bem preparados para tomar decisões informadas em conjunto com a equipe médica. Em um mundo de constante avanço médico, a educação contínua e a compreensão dos tipos de anestesia são cruciais. Este artigo servirá como uma fonte confiável de informações para pacientes, profissionais de saúde e estudantes, proporcionando uma exploração abrangente das opções e procedimentos anestésicos, visando aprimorar a segurança, eficácia e qualidade do cuidado médico.
A Critical Examination of Women's Economic Independence
Authors: Shivani Pandey
Published: April 2024

This paper delves into the critical examination of women's economic independence, underscoring its significance in promoting gender equality and enhancing societal economic health. The rationale for this examination stems from the persisting gender disparities in economic spheres globally, despite considerable progress in recent decades. Economic independence is pivotal for women's empowerment, offering them autonomy in decision-making processes and facilitating their contribution to economic development. The methodology encompasses approach that enables a nuanced understanding of the multifaceted barriers to and enablers for women's economic independence. Key findings reveal that while educational attainment and workforce participation have increased for women, significant obstacles remain. These include the gender wage gap, socio-cultural norms, and inadequate legal protections, which collectively hinder women's economic advancement. The conclusion emphasizes that enhancing women's economic independence is not only a matter of gender equality but also a crucial component of economic sustainability. It argues for a concerted effort from governments, non-governmental organizations, and the private sector to implement comprehensive strategies that address both the economic and cultural dimensions of women's independence.
Nitrogen: from discovery, plant assimilation, sustainable usage to current enhanced efficiency fertilizers technologies – A review
Authors: Cassim Bruno Maia Abdo Rahmen , Lisboa Izaias Pinheiro , Besen Marcos Renan , Otto Rafael , Cantarella Heitor , Inoue Tadeu Takeyoshi , Batista Marcelo Augusto
Published: April 2024

From 1913 onwards, the global situation changed from a scenario of nitrogen (N) scarcity to an abundance of ammonia (NH
3
) produced synthetically via the Haber-Bosch process. Several N compounds have been synthesized since then, with urea becoming the main source of N, accounting for 55 % of current N consumption. However, N efficiency in agroecosystems is low and, normally, N recovery in cultivated plants is less than 50 %. This occurs because a large amount of reactive N is lost to the environment, inducing various forms of pollution, threatening human and environmental health, in addition to causing a negative economic impact on the farmer. The main processes responsible for low N efficiency are NH
3
volatilization, leaching, and N denitrification. Considering global NH
3
volatilization losses of 14 %, it can be assumed that up to 8.6 million Mg of urea are lost every year in the form of NH
3
. For each ton of NH
3
produced, 1.9 to 3.8 Mg of CO
2
is emitted into the atmosphere. Therefore, increasing N use efficiency (NUE) without compromising yield is a necessity and a challenge for crop improvement programs and current management systems, in addition to reducing greenhouse gas emissions. In this context, enhanced efficiency fertilizers (EEFs), which contain technologies that minimize the potential for nutrient losses compared to conventional sources, are an alternative to increasing the efficiency of nitrogen fertilization. Currently, EEFs are classified into three categories: stabilized, slow-release, and controlled-release. This study aims to understand the technologies used to produce EEFs and the factors that govern their availability to plants. This review covers the following topics: the discovery of N, N dynamics in the soil-atmosphere system, N assimilation in plants, strategies to increase NUE in agrosystems, NH
3
synthesis, NH
3
volatilization losses, N fertilizer technologies, the importance of characterization of EEFs, conventional nitrate or ammonium-based fertilizers to reduce gaseous losses of NH
3
and future prospects for the use of N fertilizers in agriculture.
Three Persistent Myths about Open Science
Authors: Syed Moin
Published: April 2024

Knowledge and implementation of open science principles and behaviors remains uneven across the sciences, despite over 10 years of intensive education and advocacy. One reason for the slow and uneven progress of the open science movement is a set of closely held myths about the implications of open science practices, bolstered by recurring objections and arguments that have long been addressed. This paper covers three of these major recurring myths: 1) that open science conflicts with prioritizing diversity, 2) that “open data” is a binary choice between fully open and accessible and completely closed off, and 3) that preregistration is only appropriate for certain types of research designs. Putting these myths to rest is necessary as we work towards improving our scientific practice.
The Relationship Between Age and Anxiety Level in Adult Elective Surgery Patients
Authors: Anwar Harits Abdurahman , Sebayang Septian Mixrova , Burhan Asmat
Published: April 2024

Background:
Every patient has different views and reactions to surgery,one of which is experiencing anxiety. Anxiety can be influenced by several characteristics, including age, gender, education, work situation, and marital status. The purpose of this study was to determine whether there is a relationship between patient age and anxiety level in elective surgical patients at Goeteng Taroenadibrata Hospital.
 

Methods:
This study used an analytical correlation research method with a quantitative approach. The sampling technique used Consecutive Sampling and 79 pre-anesthesia respondents were sampled for this study. The testused in this study is Kendall Tau
 

Result:
The results of the correlation test obtained a significance value for the level of anxiety with a P-value of 0.002 <0.05, and the majority of respondents experienced a moderate level of anxiety with a total of 42
respondents.
 

Implications:
From the results of the study, it can be seen that there is a correlation between age and anxiety levels of adult surgical patients at Goeteng Taroenadibrata Purbalingga Hospital. The findings of this study, it
is expected to improve pre-operative care for patients in emergencies such as providing preoperative education to reduce anxiety in surgery patients.
 

Keywords: Age;Anxiety;Surgery
Enhancing the image analysis community in Galaxy
Authors: Kostrykin Leonid , Woller Tatiana , Kalaš Matúš , Özdemir Bugra , Andrade Buono Rafael , Sun Yi , Kumar Anup , Goué Nadia , Grüning Björn , Serrano-Solano Beatriz , Fouilloux Anne
Published: April 2024

Project 6 during the 2023 BioHackathon Europe in Barcelona focused on "Enhancing the image analysis community in Galaxy." Despite Galaxy's strong presence in genomics and proteomics, its image analysis tools and workflows are currently scattered. This project aimed to gather efforts in image analysis across fields to build a robust interdisciplinary community.
Synergising ELIXIR resources for training in systems biology
Authors: Rioualen Claire , Bacall Finn , Furlan Cristina , Kalaš Matúš , Leskosek Brane , Ménager Hervé , Szomolay Barbara
Published: April 2024

Systems biology (SB) is a new ELIXIR community, that aims to utilise the ELIXIR ecosystem, such as the Training eSupport System (TeSS) and bio.tools, a registry of software tools and data resources for life sciences. One of the main initial objectives of the SB community is to create an SB-themed domain hosted by TeSS, encompassing SB-related ELIXIR services and events, in a fully automated way.Most content in TeSS is sourced through automated aggregation (“scraping”) of external sources containing resources marked up with semantic metadata, like Bioschemas. Currently, TeSS cannot recognize references to bio.tools identifiers from a Bioschemas-annotated resource, so the number of resources linked to bio.tools is relatively low.In this project, we will focus on selected SB disciplines from the priority areas of the ELXIR SB community to integrate and cross-link related ELIXIR products - training events, training materials, computational and bioinformatics tools, databases and services from the bio.tools registry.This will be achieved using suitable ontologies identified by the SB community and by careful curation of SB-related materials. We aim to extend this work to other ELIXIR products such as lists of trainers, related ELIXIR Innovation and Industry events and publications. This will serve as a pilot project leading to broader integration with other SB disciplines, and will be of interest to several other ELIXIR communities.
An Efficient Technique to Study Time Fractional Extended Fisher-Kolmogorov Equation
Authors: Pavani K. , Raghavendar K. , Aruna K.
Published: April 2024

Reaction-diffusion partial differential equations are among the most widely used equations in applied mathematical modelling. In this study, we examine the solutions of one such equation, namely, the time-fractional extended Fisher-Kolmogorov equation. This equation is widely used in the study of population growth and wave propagation dynamics. The technique we consider is a combination of the natural transform and the Adomian decomposition method. Fractional derivatives are considered with singular and non-singular kernels. The existence and uniqueness of the solutions are presented. We analyse two different cases of the proposed problem to determine the validity and efficacy of the proposed scheme. Additionally, numerical simulation is shown, and the nature of the achieved solution is captured in terms of plots for various fractional orders. The outcome demonstrates that the method is straightforward, efficient, and dependable. The proposed method does not require any predetermined assumptions, linearization, perturbation, or discretization, and it prevents rounding errors. Therefore, the technique is ready to be implemented for a variety of nonlinear time fractional partial differential equations.
Fast Two-Grid Finite Element Algorithm for a Fractional Klein- Gordon Equation
Authors: Jia Jingwei , Wang Nian , Liu Yang , Li Hong
Published: April 2024

In this article, we propose a spatial two-grid finite element algorithm combined with a shifted convolution quadrature (SCQ) formula for solving the fractional Klein-Gordon equation. The time direction at tn − θ is approximated utilizing a second-order SCQ formula, where θ is an arbitrary constant. The spatial discretization is performed using a two-grid finite element method involving three steps: calculating the numerical solution by solving a nonlinear system iteratively on the coarse grid, obtaining the interpolation solution based on the computed solutions in the first step, and solving a linear finite element system on the fine grid. We present a numerical algorithm, validate the two-grid finite element method’s effectiveness, and demonstrate the computational efficiency for our method by the comparison of the computing results between the two-grid finite element method and the standard finite element method.
Enhancing Antibiotic Efficacy: Exploring Synergistic Interactions between Plant Extracts and Conventional Antibiotics
Authors: Donkor Addai-Mensah , Ahenkorah Benjamin , Yakubu Abdallah , Donkor Martin Ntiamoah
Published: April 2024

Medicinal herbs including Senna alata, Ricinus communis, and Lannea barteri have been utilized for centuries to cure a variety of illnesses caused by microbial infections. This study looked at the synergistic effects of these drugs with traditional antibiotics on clinical isolates of Candida albicans, Staphylococcus aureus, Pseudomonas aeruginosa, and Escherichia coli. The test bacteria were chosen based on their minimal potential for monotherapy and susceptibility to at least one antibiotic with a known genetic basis. The interactions of plant extracts with antibiotics against the chosen pathogenic microorganisms were investigated using the agar well diffusion, broth microdilution, and checkerboard methods. Calculated fractional inhibitory concentration index (FICI) values were used to describe how the extracts and antibiotics interacted. All the extracts from the three plants combined with fluconazole exhibited a synergistic interaction against C. albicans (FICI < 0.5). The minimum inhibitory concentration (MIC) of ampicillin against E. coli was demonstrated to be reduced by the combination of the ethanol extract of S. alata with ampicillin, with a FICI value of 0.4 indicating a synergistic effect. With a synergistic action (FICI ˂ 0.5) against P. aeruginosa, the ethanol extract of S. alata and amoxicillin were successful in reducing the MIC of amoxicillin from 0.32 to 0.17 mg/mL. Aqueous L. barteri extract combined with amoxicillin exhibited synergism (FICI < 0.2) against S. aureus with a reduction of MIC from 0.20 to 0.03 mg/mL. The current study is the first to investigate the aforementioned plants in combination with conventional antibiotics for their antimicrobial activities. The findings of this study could be used to create a useful, applicable, feasible, and alternative source of novel antimicrobial agents.