bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dicogamia y sistema de compatibilidad en el árbol tropical Gymnopodium floribundum (Polygonaceae)
Authors: Paquini-Rodríguez Sara Lucía , Meléndez-Ramírez Virginia , Tun-Garrido Juan , Parra-Tabla Víctor 
Published: December 2023

Antecedentes: Gymnopodium floribundum es un árbol dominante de las selvas bajas caducifolias de Yucatán. Produce una gran cantidad de flores en cortos periodos varias veces al año, pero su producción de semillas se ha reportado como baja.
Preguntas: ¿Qué tipo de dicogamia presenta G. floribundum? ¿Cuál es su sistema de compatibilidad?
Especie de estudio: G. floribundum, árbol dicógamo de importancia en la apicultura.
Sitio y años de estudio: Xtmakuil, Yucatán. Febrero-marzo y noviembre-diciembre del 2022.
Métodos: Se registró diariamente la fase sexual de las flores y mediante polinizaciones manuales se determinó su sistema de compatibilidad.
Resultados: La sincronía intrafloral de las funciones sexuales fue baja (< 2 %), pero relativamente alta entre flores de distintas inflorescencias (0.48 ± 0.13, Media ± DE) y entre flores de diferentes árboles (0.64 ± 0.11, Media ± DE). La producción de frutos maduros por autopolinización manual fue baja (ca. 3 %) y 6 veces menor respecto a la de entrecruza.
Conclusiones: G. floribundum presentó dicogamia intrafloral completa, pero incompleta a nivel intra e interindividual, mostrando además un cambio en la expresión sexual de la población a lo largo de la floración. Aunque G. floribundum es autocompatible los resultados sugieren una amplia ventaja de la polinización de entrecruza respecto de la de autocruza.
Research Catalog of Inland Seismicity in the Southern Korean Peninsula from 2012 to 2021 Using Deep Learning Techniques
Authors: Han Jongwon , Joo Seo Keun , Kim Seongryong , Sheen Dong-Hoon , Lee Donghun , Byun Ah-Hyun 
Published: December 2023

Abstract
A seismicity catalog spanning 2012–2021 is proposed for the inland and near-coastal areas of the southern Korean Peninsula (SKP). Using deep learning (DL) techniques combined with conventional methods, we developed an integrated framework for compiling a comprehensive seismicity catalog. The proposed DL-based framework allowed us to process, within a week, a large volume of data (spanning 10 yr) collected from more than 300 seismic stations. To improve the framework’s performance, a DL picker (i.e., EQTransformer) was retrained using the local datasets from the SKP combined with globally obtained data. A total of 66,858 events were detected by phase association using a machine learning algorithm, and a DL-based event discrimination model classified 29,371 events as natural earthquakes. We estimate source information more precisely using newly updated parameters for locations (a 1D velocity model and station corrections related to the location process) and magnitudes (a local magnitude equation) based on data derived from the application of the DL picker. Compared with a previous catalog, the proposed catalog exhibited improved statistical completeness, detecting 21,475 additional earthquakes. With the newly detected and located earthquakes, we observed the relative low seismicity in the northern SKP, and the linear trends of earthquakes striking northeast–southwest (NE–SW) and northwest–southeast (NW–SE) with a near-right angle between them. In particular, the NE–SW trend corresponds to boundaries of major tectonic regions in the SKP that potentially indicates the development of fault structures along the boundaries. The two predominant trends slightly differ to the suggested optimal fault orientations, implying more complex processes of preexisting geological structures. This study demonstrates the effectiveness of the DL-based framework in analyzing large datasets and detecting many microearthquakes in seismically inactive regions, which will advance our understanding of seismotectonics and seismic hazards in stable continental regions.
La migración irregular y las vidas no deseadas en el conflicto armado colombiano
Authors: Mendoza Niño Jessica 
Published: December 2023

Mujeres y niñas en situación migratoria irregular y de pobreza provenientes de Venezuela, víctimas del conflicto armado colombiano, enfrentan barreras para acceder a la interrupción voluntaria del embarazo. El desconocimiento del marco legal, la interpretación restrictiva del marco normativo, las fallas en la prestación de los servicios, las violencias basadas en género en el marco del posacuerdo, así como factores de riesgo y vulnerabilidad son obstáculos que afectan a mujeres y niñas migrantes de manera especial y diferenciada. Este artículo busca analizar cuáles son las barreras que enfrenta esta población, en el marco del conflicto armado, para acceder a la IVE. Para responder a este interrogante se emplea una metodología cualitativa basada en entrevistas a profesionales dedicados a la atención de mujeres y niñas migrantes y refugiadas venezolanas.
IMPLEMENTAÇÃO DA BNCC NA PERSPECTIVA DOS PROFESSORES DO ENSINO FUNDAMENTAL I
Authors: Jesus Fernanda de , Bittencourt Ricardo Luiz de 
Published: December 2023

O presente artigo aborda questões voltadas a implementação da BNCC na perspectiva dos professores do Ensino Fundamental I. Sendo assim, o objetivo geral dessa pesquisa é “compreender como os professores do Ensino Fundamental I estão sendo preparados para a implantação da BNCC”. Essa pesquisa é de cunho qualitativo, uma vez que os dados não podem ser quantificados, além de ser classificada como aplicada, uma vez que os resultados visam a melhoria do processo formativo dos professores. Como referencial teórico, buscou-se fundamentar a pesquisa em autores como Janz (2008), Magalhães (2019), Albino e Silva (2019), Nóvoa (2019), Gasperi, Martins e Emmel (2022), Mariani e Sepel (2019), entre outros. Depois do aprofundamento teórico, foi-se a campo para verificar por meio de entrevista semiestruturada como está o processo de adequação dos professores para a implementação da BNCC. Chegou-se à conclusão de que os professores entrevistados foram bem receptivos com a chegada deste novo documento norteador e que apesar das angustias, estão conseguindo se adequar às novas estruturas propostas para os planejamentos e práticas pedagógicas. Ainda, a escola tem buscado amparar-se com as ferramentas adequadas, porém, isso é algo que ainda está em andamento, visto que depende de alguns fatores externos, principalmente financeiro.
PALAVRAS CHAVE: BNCC; formação de professores; currículo.
IMPACTOS DO PROGRAMA RESIDÊNCIA PEDAGÓGICA PARA A FORMAÇÃO DE PROFESSORES NA PERSPECTIVA DOS DOCENTES ORIENTADORES
Authors: Machado da Rosa Igor , Bittencourt Ricardo Luiz de 
Published: December 2023

A formação de professores tem sido pautada em muitos estudos e pesquisas. O presente artigo tem como objetivo geral analisar as percepções dos docentes orientadores sobre os impactos do Programa Residência Pedagógica na formação de professores. A proposta de pesquisa se inspira na abordagem qualitativa e utiliza a entrevista semiestruturada como técnica de coleta de dados. Utilizou como forte base teórica os estudos produzidos por Nóvoa (1992, 2006, 2012, 2013, 2017, 2019) e Tardif (2014). A partir da leitura dos dados das entrevistas foram estabelecidos 3 blocos de análise: O perfil dos entrevistados; Formação de professores no RP e o programa RP na perspectiva dos entrevistados. Conclui-se que o Residência Pedagógica é um potente programa de formação inicial, mas que além de contribuir para a solidificação da formação dos futuros professores, funciona como uma espécie de formação continuada para os professores preceptores.
PALAVRAS-CHAVES: Residência pedagógica. Formação de professores. Formação inicial. Formação continuada
Pengembangan Wisata Batu Jubang dalam Meningkatkan Kesejahteraan Masyarakat Lokal
Authors: Alfarisi Ricky , Rahmawati Atik 
Published: December 2023

Wisata Batu Jubang merupakan salah satu destinasi wisata di Kabupaten Jember yang diwujudkan dengan optimalisasi sumber daya alam berupa kawasan perbukitan, lahan pertanian, dan perkebunan. Saat ini, masyarakat Desa Suco sulit mendapatkan lapangan pekerjaan sehingga mengakibatkan besarnya jumlah pengangguran di Desa Suco. Pendekatan penelitian ini adalah kualitatif deskriptif yang menggunakan teknik pengumpulan data observasi non-partisipasi, wawancara semi-terstruktur, dan studi dokumentasi. Analisis datanya dimulai dengan mengumpulkan data, reduksi data, penyajian data, dan penarikan kesimpulan. Hasil penelitian ini menunjukkan bahwa tujuan pengembangan Wisata Batu Jubang yaitu menciptakan lapangan kerja dan meningkatkan kesejahteraan masyarakat. Pengembangan ini diawali dengan terjalinnya kerjasama antara LMDH Wana Sejati, Investor, dan Perhutani Kabupaten Jember. Kerjasama tersebut dirumuskan melalui musyawarah desa dan rembug warga sehingga mendapat dukungan dari masyarakat desa. Dukungan tersebut diwujudkan dengan tergabungnya masyarakat sebagai pengelola atau tenaga kerja wisata. Pengembangan wisata dilakukan secara bertahap hingga saat ini dengan mengelola hasil pendapatan guna membangun wahana wisata yang dapat menarik wisatawan sehingga mampu mendorong sektor lainnya untuk berkembang. Sektor lain yang berkembang yaitu sektor industri rumahan. Hadirnya wisatawan di Wisata Batu Jubang membuka peluang pasar bagi masyarakat sebagai penyedia barang maupun jasa yang dapat dimanfaatkan masyarakat untuk meningkatkan kesejahterannya.
Kata kunci: pengembangan wisata, kesejahteraan masyarakat
Integrating Network Pharmacology and Experimental Verification to Explore the Pharmacological Mechanisms of Radix Paeoniae Rubra Against Glioma
Authors: Zhu Siyu , Jin Qianxu , Zhang Shiyang , Song Zihan , Zhang Shiqi , Zhao Zongmao 
Published: December 2023

Abstract
Background: Glioma has a high mortality and can hardly be completely cured. Radix Paeoniae Rubra (RPR) is a prevalent component in traditional Chinese medicine used for tumor treatments. We explored the mechanism of RPR in treating glioma using network pharmacology and experiments.
Methods: A network pharmacology approach was used to screen active ingredients, targets of RPR and glioma. We then constructed a herb-active ingredient-target-pathway network and conducted Protein-Protein Interaction (PPI) network analysis, as well as Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. Molecular docking was also performed. Using CCK-8, colony formation and xenograft experiments, we evaluated the effect of RPR on glioma. The involved pathway and proteins were identified by Western blot.
Results: From public databases, we identified nine active RPR ingredients and 40 overlapping targets among 109 RPR targets and 1,360 glioma-associated targets. The PPI analysis revealed ten targets, such as AKT1, TP53, and VEGFA, which were identified as hub genes. The results from GO and KEGG analysis highlighted the involvement of the PI3K/AKT pathway. A herb-active ingredient-target-pathway network was constructed. By docking molecular structures, six suitable conformations have been identified. The RPR extract demonstrated anti-tumor properties by inhibiting glioma cell proliferation in vitro and in vivo, likely achieved by suppressing the phosphorylation of the PI3K/AKT signaling pathway. RPR concurrently downregulated the phosphorylation level of AKT1 and the protein expression level of VEGFA, while upregulating the expression of P53 in the U251 cell line.
Conclusions: Utilizing network pharmacology and molecular docking, our study not only predicted the impact of RPR on glioma but also delineated the herb-active ingredient-target-pathway network. Experimentally, we confirmed that RPR may exert its anti-tumor properties by inhibiting the phosphorylation of the PI3K/AKT pathway, including AKT1, and by regulating the expression levels of VEGFA and P53.
Use of different vegetation indices for the evaluation of the kinetics of the cherry tomato (Solanum lycopersicum var. cerasiforme) growth based on multispectral images by UAV
Authors: Chávez-Martínez Osiris , Monjardin-Armenta Sergio Alberto , Rangel-Peraza Jesús Gabriel , Sanhouse-García Antonio Jesus , Mora-Felix Zuriel Dathan 
Published: December 2023

Abstract
This study evaluated seven vegetation indices for the monitoring of a cherry tomato crop using an Unmanned Aerial Vehicle with a multispectral camera that measures in the Green, Red, and Near Infrared spectral bands. A photogrammetric flight plan was designed to capture the spectral images every 2 weeks in two agricultural parcels identified as Treatment 1 (\({T}_{1}\)) and Treatment 2 (\({T}_{2}\)). A total of 7 photogrammetric flights were carried out for the crop monitoring and the corresponding orthophotographs were obtained using digital photogrammetry techniques. Subsequently, vegetation indices were calculated for these orthophotographs. The mean and standard deviation of these indices were extracted, and a statistical analysis was performed to compare the vegetation indices and to analyze their behavior over time. Analysis of variance (ANOVA) showed that Ratio Vegetation Index (RVI), Green Vegetation Index (GVI), Normalized Difference Vegetation Index (NDVI), Infrared Percentage Vegetation Index (IPVI), Green Normalized Difference Vegetation Index (GNDVI), and Optimized Soil-Adjusted Vegetation Index (OSAVI) indices showed significant variation (P-value < 0.05) over time. No statistically significant difference between the two treatments was found. IPVI, NDVI, and OSAVI showed less variation in pixel values. The RVI, GVI, NDVI, IPVI, GNDVI, and OSAVI indices proved to be valuable tools for monitoring field crops since these indices responded to the crop growth kinetics.
Referrals for Rheumatologic Evaluation Because of Positive Antinuclear Antibody: Analysis of a Retrospective Brazilian Cohort
Authors: Vecchia Leonardo Borgato Della , Assis Caio Delano Campos Oliveira , Salatiel Fernando de Oliveira , Cirino Maria Thereza Santos , Scarpante Maria Eduarda Vogel , Oliveira Vanessa Monteiro , Meneghin Letícia Pedroso , Silva Maria Júlia Gonçalves , Santos Victória Ferini dos , Catardo Natália Pavoni , Nemesio Isabela Pulini , de Paula Lívia Loamí Ruyz Jorge , Sasdelli Carolina Borges Garcia , Freitas Ana Beatriz Bacchiega 
Published: December 2023

Abstract
Background
In general, patients are referred for rheumatological evaluation due to isolated laboratory abnormalities, especially antinuclear antibody (ANA) positivity, with more severe patients remaining on the waiting list for longer. The aim of this study was to analyze the demographic, clinical, and laboratory information of patients referred to a specialized rheumatological care unit.
Methods
This is a retrospective study of 1670 patients seen by the same rheumatologist between 01/01/2011 and 01/01/2019. Patients whose referrals were exclusively due to the ANA test result and the specialist's final diagnosis being “abnormal finding of serum immunological test” (ICD-10 R769) were included. Sociodemographic, clinical, and laboratory informations were extracted from the consulting rheumatologist’s report. Descriptive statistics were used for data analysis.
Results
A total of 99 patients were included, most of whom were female (84.8%) with a median age of 49 years. At the moment of specialist’s appointment, 97 patients (97.9%) repeated the ANA test, and 77 patients remained positive. Of these, only 35 (35.35%) were in a high titer range (greater than or equal to 1:320). Complete blood count for cytopenia’s investigation was not performed in a high percentage of patients (22.2%), as well urinalysis (31.3%). In addition, more than 70% of patients score 0 to 1 classification criteria for Systemic Lupus Erythematosus, according to SLE - ACR 1987 (American College of Rheumatology) and SLICC 2012 (Systemic Lupus International Collaborating Clinics).
Conclusions
Most patients are still referred for specialized evaluation due to the misinterpretation of laboratory tests that were inappropriately requested in patients without clinical evidence of autoimmune rheumatic disease.
Machine learning reveals hierarchical spatial patterns in salt marsh mosquito ditching along U.S. Atlantic Coast
Authors: Aerni Karen , Bell Tom W. , Kimbro David L. 
Published: December 2023

Abstract
The loss of salt marshes and their ecosystem services following anthropogenic disturbances necessitates restoration built on a scale-dependent understanding of how the prevalence and intensity of these disturbances are linked to ecosystem functioning. A conspicuous legacy modification of marshes, which lacks a standardized and scale-able assessment, is mosquito ditching. Consequently, U.S. Atlantic coast resource managers must devote limited resources to quantifying local-scale ditching or make restoration decisions based on a literature of subjective ditching assessments (low vs. high) from a subset of locations with contradictory impacts to ecosystem functions. Here, we combined freely available satellite imagery with machine learning to generate a multi-scale database of ditching prevalence and intensity in 634 marshes from Maine through Florida. The algorithm consistently detected ditches despite the heterogeneous appearance of this disturbance and marshes across regions, seasons, and tidal stages. In contrast to the oft-quoted historical ditching prevalence of 90%, the algorithm quantified a much lower current average of 38%, with the size of this discrepancy varying regionally from an average prevalence of 87% in the Gulf of Maine to 20% in the South Atlantic Bight. Ditching intensity showed further hierarchical spatial variation, but at the state and within-state levels, as opposed to regional level. Within regions, intensely ditched states (5% area removed) were opposed by mildly ditched states (1.9% area removed). With this standardized database of ditching prevalence and intensity, researchers and resource managers may now conduct scale-dependent assessments of ecosystem responses to ditching to inform restoration and management of this valuable habitat.
Arbutin attenuates CFA-induced Arthritis by modulating expression levels of 5- LOX, NF-κB, IL-17, PGE-2 and TNF-α
Authors: Malik Abdul , Sial Nabeela Tabassum , Iqbal Urooj , Rehman Muhammad Fayyaz Ur 
Published: December 2023

Abstract
Arbutin, a naturally soluble glycosylated phenol has anti-oxidant, antimicrobial, anti-tumor and anti-inflammatory properties. The current exploration appraises the treatment of arthritis by use of Arbutin (25, 50 and 100 mg/kg) orally in CFA-induced rat Arthritis model. Body weight changes, paw size, and joint diameter were recorded till the 28th day in the arthritic-induced rats. Hematological, biochemical, oxidative and inflammatory biomarkers were measured through the blood samples of anesthetized rats. Arbutin markedly decreased paw volume, PGE-2, anti-CCP and 5-LOX levels, however, maintained metabolic and hematological balance and prevented weight loss. Radiology and histology changes improved significantly in the ankle joints of rats. Moreover, Arbutin increased gene pointers such as IL-10 and IL-4 while significantly reducing the levels of CRP and WBCs, whereas, Hb, Platelets and RBCs count markedly raised in post-treatments. Antioxidant levels of SOD, CAT and GSH were improved and MDA level was reduced in treated groups. Rt-PCR investigation showed a significant reduction of the interleukin-1β, TNF-α, interleukin-6, Cycloxygenase-2, NF-κB and IL-17 and increased expression of gene pointers like IL-4, and IL-10 in treated groups. Assessment of molecular docking revealed a strong binding interaction of Arbutin against 5-LOX, IL-17, TNF-alpha and interleukin-6, Cycloxygenase-2, nuclear factor-κB, IL-4 and iNOS providing a strong association between experimental and theoretical results. As a result, Arbutin has significantly reduced CFA-induced arthritis by modulation of anti-inflammatory cytokines i.e., IL-10 and IL-4, the pro-inflammatory cytokines panel like NF-κB, TNF-alpha, IL-1β, IL-6, PGE-2, 5-LOX and COX-2 and oxidative biomarkers.
Contribution of Newly Tested Species, Panicum maximum, for Faecal Sludge Treatment: A Comparative Study with Echinochloa pyramidalis and Typha domingensis
Authors: GOUSSANOU Baruc Kpèhouénou , Akowanou Akuemaho Virgile Onésime , Liady Mouhamadou Nourou Dine , Deguenon Hontonho Espérance Justine , Daouda Mohamed Moukorab Arêmou , Ayitchédéhou Olouwachêgun Esdras Moïse , Aina Martin Pépin , Labanowski Jérôme 
Published: December 2023

Abstract
This study evaluated the effectiveness of three plant species (Panicum maximum, Echinochloa pyramidalis, and Typha domingensis), in enhancing the removal of salinity, nitrogen, phosphorus, and chemical oxygen demand during sludge treatment within sludge treatment reed beds (STRBs). The experimental setup consists of 1 m3 tanks composed of sand and gravel, simulating the reed bed configuration. A total of twelve pilot-scale units were used, with each plant species tested in triplicate, while three units were used as non-planted control groups. Over a six-month period, the units received weekly loadings of faecal sludge sourced from a site in southern Benin. Sampling was carried out weekly in order to evaluate the removal efficiency of the assessed parameters. The results showed the superior efficacy of STRBs compared to control beds, attributing this enhancement to the presence of vegetation. At a loading rate of 300 kg TS/m2/yr, the system presented good performance. In particular, Panicum maximum and Echinochloa pyramidalis beds demonstrated the highest removal rates (Salinity: 97.95%, PO43-: 97.75%, TP: 98.08%, NH4+: 98.68, NO3-: 98.71%, TKN: 99.53%, TSS: 99.98%, COD: 99.94%). Moreover, the drying rates of Echinochloa pyramidalis and Panicum maximum beds (49.5% and 48.5%, respectively) surpassed those of Typha domingensis beds (34.7%). These findings highlight the potential of Panicum maximum, a newly tested species, for application in STRBs, emphasizing the need for dedicated research on this species.
Novel Climate-Specific Models for C-Factor Assessment: Insights from the Five-Parameter Logistic Function, the De Martonne Index, and NDVI
Authors: Okacha Abdelmonaim , Salhi Adil 
Published: December 2023

Abstract
Soil is a delicate natural resource that is vulnerable to erosional forces. Cover management, representing factor C, is one of the most important factors in mitigating soil and water losses. However, conventional methods for estimating factor C are often resource-intensive and slow to track rapid changes. Remote sensing-based models for estimating factor C exist, but they are not always adaptable to different climates. This study addresses two key gaps in soil erosion research: (i) introducing novel models to estimate Factor C across diverse climate zones and (ii) evaluating Factor C values across Morocco. This study proposes a novel approach to estimating C-factor values across humid, semi-humid/semi-arid, and arid/hyperarid zones. Three climate-specific models, each tailored to a distinct climate zone, were developed using the Five-Parameter Logistic (5PL) function, the De Martonne Aridity Index, and NDVI. The curve_fit() routine in Python is used to perform nonlinear regression curve fitting. These models offer several advantages over traditional methods, including: swift temporal resolution, enhanced cost-effectiveness, and precise spatial resolution. The findings of the study show that the proposed models are in good agreement with literature-based factor C values across all climatic zones. These models provide valuable tools for researchers studying soil loss and can help decision-makers to formulate and update effective land management strategies.