bluuebunny/crossref_metadata_2025_split huggingface dataset:
Encuentros y divergencias en la educación de la mujer en las Escuelas Normales de Cartagena y Manizales (1903-1930)
Authors: Reyes Castellar Luis , Deavila Pertuz Orlando , Mantilla Escalante Lais 
Published: December 2024

Objetivo: en este artículo de investigación se analiza, en perspectiva comparada, la implementación de la Ley de Instrucción Pública de 1903 en las Escuelas Normales de Institutoras de Cartagena y Manizales durante el primer tercio del siglo XX, a través de la relación entre tres ejes: fines sociales, regímenes y contenidos educativos derivados.

Originalidad: el estudio aporta conocimientos sobre la contextualización de la norma educativa en dos instituciones dependientes de condiciones económicas y sociales.
Método: la articulación entre la educación comparada, como metodología de investigación en ciencias sociales que aborda los temas y problemas propios del ámbito educativo, y el método de historia comparada, que confronta realidades históricas análogas en perspectiva historicista, estructuran una apuesta metodológica interdisciplinar que comprende las diferencias contextuales que incidieron en la implementación de la política educativa nacional.
Estrategias de recolección de información: los datos se obtuvieron a través de la revisión de fuentes primarias y secundarias, tanto digitalizadas como físicas. Las fuentes primarias abarcan leyes, decretos, gacetas, semanarios, revistas de instrucción pública y otros documentos históricos procedentes de la época estudiada. Las fuentes secundarias comprenden productos de investigación sobre el tema de la educación de la maestra normalista durante el periodo conservador, encontrados en bibliotecas y repositorios institucionales.
Conclusiones: la valoración divergente de la educación de la mujer en Cartagena y Manizales refleja el apoyo económico contundente de la élite caldense que consideraba a la mujer como pieza esencial para el desarrollo social y cultural de la ciudad, en contraste con las carencias económicas que padecía Cartagena, las cuales dificultaron su apoyo financiero, limitando así el alcance de la política educativa.
Development of Project Based Learning Media Using Google Sites on Alternative Energy Topics
Authors: Laluna Tazkia Dick , Supurwoko Supurwoko , Zahroh Shofi Hikmatuz 
Published: December 2024

<p>Learning is carried out to arrange and organize the environment around students to foster their learning process. The student's learning process is carried out through inquiry, responding to questions regarding a problem or a complex challenge. This learning process can be conducted by applying the project-based learning model. The project-based learning model can be applied in the field of information and communication technology in line with the 21<sup>st</sup> century, such as using Google Sites. Therefore, this research aims to describe the specifications of Google Sites as a learning media using the project-based learning model on alternative energy topics and describe the assessment results from experts, educational practitioners, and learners regarding Google Sites as a learning media using the project-based learning model on alternative energy materials. This development research employs the 4D model by Thiagarajan, which consists of the following stages: define, design, develop, and disseminate. The learning media obtained validation from two experts and assessment from educational practitioners regarding content, media, and language aspects. The development trial of this media was conducted with phase E students. Data collection techniques included interviews and questionnaires, with data analysis performed qualitatively and quantitatively. The learning media comprises a primary topic, alternative energy, organized based on project-based learning syntax. It consists of three menus: the welcome menu, the main page, and the author's identity. Validation by experts and assessment by educational practitioners indicate that the learning media meets excellent content, media, and language criteria. The development trial results show that the learning media meets excellent criteria at each trial stage.</p>
Reduced-Order Modeling for Subsurface Flow Simulation in Fractured Reservoirs
Authors: Gao Ming , Sun Wenyue , Xu Jianchun , Li Junchao 
Published: December 2024

Summary
Reservoir simulation for fractured reservoirs is often challenging and time-consuming due to the strong heterogeneity and complex flow dynamics introduced by fracture-matrix interactions. In this study, we introduce a novel reduced-order modeling procedure to speed up the flow simulation of fractured reservoirs. The reduced-order model (ROM) is developed based on proper orthogonal decomposition (POD) in conjunction with the embedded discrete fracture model (EDFM) that provides full-order simulation results. With the full-order training simulation, snapshots of reservoir pressure and saturation state at different timesteps are captured and assembled into separate data matrices. Singular value decomposition (SVD) is then applied to these data matrices to obtain a reduced set of orthogonal base vectors for pressure and saturation solutions, respectively. These base vectors enable the projection of high-dimensional linear equations into much lower-dimensional spaces, which significantly accelerates the process of solving nonlinear governing equations under the EDFM approach. The developed reduced-order modeling procedure is implemented in the MATLAB reservoir simulation toolbox (MRST) and tested via multiple cases for both 2D and 3D fractured reservoirs under different boundary and well control scenarios. In certain challenging cases, the use of multiple training simulations is explored and is shown to provide improved predictions. Overall, the proposed ROM approach is able to provide simulation results that are very consistent with those obtained from the full-order simulations while achieving computational speedups of about an order of magnitude for large-scale cases. These observations indicate that the proposed ROM exhibits satisfactory generalization performance, making it suitable for problems that require many flow simulations under different settings, such as production optimization.
Meteorological indicators as predictor of timing and duration of malaria transmission
Authors: Bello Abdulrahman Babatunde , Hassan Adesola , Ayeola Nurain 
Published: December 2024

Abstract

Satellite derived climate variables are potential indicators malaria transmission season. However, there is dearth of information required for investigating the relationship between climate and malariometric data. The influence of climatic risk variables on the temporal distribution of malaria in Epe and Ibeju Lekki (IbL) Local Government Areas (LGAs), Nigeria was assessed. Monthly malaria cases data of Epe and IbL LGAs, from January, 2018 to June, 2019 was obtained from Ministry of Health, Lagos. Monthly climate data including rainfall, maximum and minimum temperatures, and relative humidity of Lagos was obtained from the Nigerian Meteorological Agency (NIMET). Association between monthly malaria cases and climate parameters was analysed using principal component analysis. Malaria cases was highest (2157) in May, 2018 and lowest (874) in March, 2018 in Epe while IbL recorded the highest (2886) in May, 2019 and lowest (1435) in June. Monthly malaria cases variation was significant in Epe, P < 0.05 and IbL, P < 0.05. Monthly malaria cases inversely varied between Epe and IbL r = -0.16. Biplot axis one (F1) of the principal component plan was explained positively by rainfall (Eigen Vector, EV = 0.85) and relative humidity (EV = 0.81), related to positive malaria predictor in Epe (EV = 0.22) and IbL (EV = 0.09), while negative predictors were maximum temperature (EV = -0.91) and minimum temperature (-0.74). The positive relationship between malaria cases, and rainfall and relative humidity in both Epe and IbL is an indication of a geographic location independence of the impact of the meteorological indices on malaria heterogeneity.
Chatter detection in turning using axis drive motor current
Authors: Jasiewicz Marcin , Miądlicki Karol , Powalka Bartosz 
Published: December 2024

Abstract

This article presents a sensorless method for the detection of chatter vibrations in turning. The method is based on the analysis of the currents generated during machining on the axis drives, which are recorded directly by the CNC control of the machine tool. An extensive experimental study was planned and carried out, which, in addition to electrical quantities, monitored the state of the process using classical sensors (accelerometers and microphone). Preliminary spectral analysis showed that machining vibrations are revealed in the axis drives, and the currents that carry information about machining vibrations are the torque components of the stator currents for the tool head axes. Due to the necessity of observing non-electrical phenomenon (vibration), it was essential to adequately process the current signal in order to filter the components resulting from electrical phenomena. For this purpose, a signal processing algorithm was proposed, including the determination of the cross power spectral density of x and z-axis currents. Spectral entropy indices calculated in frequency bands containing local maxima are then used to classify the state of the cutting process in terms of chatter. The efficiency of the method, understood as the correctness of the identification of cutting status exceeds 95%. The paper concludes with a discussion.
Televisit with TytoHome TM device in medically complex child in long-term mechanical ventilation: a pilot study
Authors: Onofri Alessandro , Ullmann Nicola , Verrillo Elisabetta , Paglietti Maria Giovanna , Pavone Martino , Cutrera Renato 
Published: December 2024

Abstract

Background
During the pandemic, the pneumology physician team of Bambin Gesù Children’s Hospital pointed out that the use of telemedicine was a helpful modality to follow up on the medical needs in Children with medical complexity (CMC) patients at distance. After the telemedicine approach experienced during the emergency, a telemedicine service was set up and new tools were tested to optimize the televisit and the global eHealt approach of the patient. In this respect, TytoHome TM device was tested to carry out the objective examination remotely. The pilot study carried out in our hospital investigated the management of the CMC in long-term mechanical ventilation through telemedicine platform and the device built by TytoHome.
Methods
A total of 10 pediatric patients were treated for one year of study. The patients involved were already followed in our hospital, and underwent long-term mechanical ventilation (LTV) at home, 4 in Invasive Mechanical Ventilation (VMI), 6 in Non Invasive Ventilation (NIV). A database was developed for the collection of patient datas relating to personal data, vital parameters, objective examination, audio quality, patient satisfaction. A subsequent descriptive analysis has been carried out.
Results
The families were “satisfied” with the remote follow-up visits and the health-care personnel perceived as “good” the quality of the ongoing audio of visits.
Conclusions
In conclusion, several were the advantages brought from Tyto device to the remote management of these patients. In our experience, Tyto has proved to be a useful modality for the remote management of medically complex patients.
Understanding the triacylglycerol-based carbon anabolic differentiation in Cyperus esculentus and Cyperus rotundus developing tubers via transcriptomic and metabolomic approaches
Authors: Zhang Honglin , Zhu Zhitao , Di Yining , Luo Jixun , Su Xianyue , Shen Yong , Liu Qing , Liu Tao , Xu Xiaoyu 
Published: December 2024

Abstract

Background
Yellow nutsedge (YSD, Cyperus esculentus) and purple nutsedge (XFZ, Cyperus rotundus), closely related Cyperaceae species, exhibit significant differences in triacylglycerol (TAG) accumulation within their tubers, a key factor in carbon flux repartitioning. Previous studies have attempted to elucidate the carbon anabolic discrepancies between these two species, however, a lack of comprehensive genome-wide annotation has hindered a detailed understanding of the underlying molecular mechanisms.
Results
This study utilizes transcriptomic analysis, supported by a comprehensive YSD reference genome, and metabolomic profiling to uncover the mechanisms of TAG-based carbon anabolic differentiation between the developing tubers of YSD and XFZ germplasms harvested in Yunnan province, China. Our findings indicate distinct expression patterns of key regulatory genes involved in TAG biosynthesis and lipid droplet formation, including ABI3 transcriptional factor, rate-limiting enzymes GPAT3/6/9 and DGAT2/3, and oleosin and caleosin homologs. Furthermore, our omics data suggest that these differences in gene expression are not the sole contributors to the diverse tuber compositions. Instead, complex interactions among highly regulated catalytic reactions, governing carbohydrate, protein, and species-specific metabolite metabolisms, collectively contribute to the pronounced carbon anabolic differentiation primarily evident in TAG accumulation, as well as the starch properties in mature tubers.
Conclusion
This study offers new metabolic insights into the high-value underground non-photosynthetic tissues of Cyperaceae species. The detailed omics analyses aim to deepen our understanding of the Cyperaceae species, which could significantly enhance their resource utilization and industrial applications in contemporary agricultural production.
Authentic Leadership's Impact on Employees Felt Obligation: Moderated Mediation Model
Authors: Eslamdoust Sina , Borhani Tahmineh , Dorri Rasam , Karandish Minoo 
Published: December 2024

Abstract

In contemporary organizational settings, leadership significantly shapes organizational dynamics and influences employee attitudes and behaviors. Despite extensive research on leadership styles, there remains a gap in understanding the impact of authentic leadership on key employee outcomes, such as organizational identification and felt obligation. Drawing on Social Identity Theory (SIT), this paper examines how authentic leadership fosters organizational identification and influences felt obligation among employees. We propose a framework that considers the role of job fit as a moderating factor in these relationships. By exploring the mechanisms through which authentic leadership enhances employee identification and obligation, this study bridges the gap between leadership theory and practical applications in organizational behavior. The findings offer valuable insights for organizational leaders and human resource practitioners on promoting authentic leadership and ensuring proper job fit to enhance overall organizational effectiveness.
Synoptic variability of the Chukchi Sea circulation 2013-2023 from satellite radar altimetry
Authors: Pisareva Maria N. , Müller Felix L. , Passaro Marcello , Schwatke Christian , Dettmering Denise , Seitz Florian 
Published: December 2024

Abstract

While difficult accessibility leads to a lack of oceanographic in-situ measurements in the Arctic Ocean, and in particular in the Chukchi Sea, satellite altimetry provides precise information on the sea surface at different spatial and temporal scales and can be used for studies of current patterns. Here, we created a novel long-term altimetry-based observational dataset of sea level and ocean currents, processed with the implementation of the recent advanced algorithms and special techniques for the reliable detection of leads and the determination of sea surface heights in the sea-ice-covered ocean. The dataset allowed us to observe the general patterns and synoptic variability of regional sea level and geostrophic flow. In the analysis, the reversals of the northward flow through the Bering Strait were investigated and linked to the anomalously strong northeasterly wind events over the Chukchi Shelf. While this phenomenon was previously described in purely oceanographic studies, the satellite altimetry-based dataset made it possible to assess its development, forcing, and variability with a high temporal-spatial resolution (10d/8km) over 2013-2023. The response of the along-strait flow to anomalously strong along-strait northerly winds is strong during fall in the absence of sea ice and well-correlated during winter and spring during partial ice cover.
Multi-step Model Reduction of Coagulation Schemes
Authors: Chen Junyi , Cazeres Quentin , Riber Eleonore , Nicoud Franck 
Published: December 2024

Abstract

This study introduces a comprehensive multi-step reduction technique for coagulation models, specifically targeting the dynamics of thrombin generation. By employing a synergistic approach that combines Direct Relation Graph with Error Propagation, Chemical Lumping, Quasi Steady State Assumption, and Conservation Analysis, the method efficiently reduces the complexity of original coagulation models without compromising accuracy. Applied to both extrinsic and intrinsic coagulation pathway schemes, this approach significantly diminishes the number of species and reactions, and the resulting reduced schemes appear to be robust to changes in initial conditions relevant to haemophilia A. The findings underscore the potential of this reduction method to facilitate more efficient computational simulations that retain the essential characteristics of different coagulation models.
Green Synthesis of silver nanoparticles using Amomum nilgiricum leaf extracts: Preparation, physicochemical characterization and ameliorative effect against human cancer cell lines
Authors: Konappa Narasimhamurthy , Patil Rajeshwari H , Kariyappa Anupama S. , Krishnamurthy Soumya , Ramachandrappa Niranjana Siddapura , Krishnappa Rahul , Chowdappa Srinivas 
Published: December 2024

Abstract

The present study to production of silver nanoparticles (AgNPs) by leaf extracts of A. nilgiricum and to evaluate the activity of anticancer by using AgNPs against cancer cell lines such as MCF-7, HEPG2, H9C2, HEK293 and H1975. The synthesized AgNPs were characterized by using UV–Vis spectroscopy, EDS, FT-IR, XRD, DLS, SEM and HRTEM with SAED patterns. The surface plasmon resonance (SPR) of AgNPs formed a peak centered at 427 nm by UV–Vis analysis. FTIR analysis reveals that existence of functional groups subjected to silver ions reduction to metallic silver. Crystalline form of the AgNPs was assessed by XRD analysis, four spectral peaks at 111, 200, 220, and 311 were formed and zeta potential peak was found at 28.5 mV indicating the higher stability. The size average diameter of the AgNPs was between 27–30 nm by TEM and SEM analysis was reveals the morphology of AgNPs as elongated, irregular and aggregated and some particles are spherical. EDX analysis confirmed the elemental composition of AgNPs with 81.43% Ag. The average diameter of AgNPs was found 21.49 nm in diameter and width was about 12.01nm by DLS analysis. Cytotoxicity of AgNPs was investigated by using MTT, SRB assay and comet assay was performed as a genotoxicity. The results revealed that AgNPs decreased the viability of cancer cells in a concentration dependent pattern (50 to 350µg/ml). The influence of AgNPs on cell cycle stop was studied on H1975, HEP-G2 and MCF-7 cells and found that AgNPs could induce sub G0 cell cycle arrest. The AgNPs was also induced DNA fragmentation confirms the DNA damage in nanoparticles treated cell lines. The anticancer action of nanoparticles was analyzed using proapoptotic and antiapoptotic caspase 8 and caspase 3 mRNA expression levels. Finally the results suggested that AgNPs is an effective anticancer agent which induces apoptosis in H1975, HEP-G2 and MCF-7 cells. Based on our studies, further identification of the major compounds of leaf extracts is acceptable.
ADD-YOLO: A New Model For Object Detection In Aerial Images
Authors: Yang Yifei , Feng Zhengyong , Jin Wei , Miao Pengcheng 
Published: December 2024

Abstract

Currently, object detection models utilized in UAV aerial image tasks encounter challenges such as small and dense objects, as well as interference from complex backgrounds. This paper presents an enhanced model based on YOLOv8s, named ADD-YOLO. In this model, the traditional convolutional layer is replaced with AKConv, which increases adaptability to variations in objects. The C2f_DRAC structure, integrated with AKConv and CBAM, is designed to enhance the model's capability to capture multi-scale contextual information, effectively addressing the issue of background interference. The DABFPN structure incorporates a small target detection layer, which boosts the performance of small object detection and tackles issues related to background interference. Additionally, CIoU-Soft-NMS is introduced to replace the original NMS, enhancing the detection of dense objects and addressing problems such as loss of adjacent prediction boxes and overlap in boundary frame IoU calculations. Extensive ablation studies and comparative experiments were conducted on the VisDrone2019 dataset and the UAVDT benchmark. The results demonstrate that ADD-YOLO outperforms the leading models in UAV aerial image detection tasks, achieving improvements of 15.7% and 7.3% in mAP@0.5 and 13.8% and 5.1% in mAP@0.5:0.95, respectively, thereby validating the effectiveness of this model.
Unraveling the transcriptional response mechanisms to yellow and wilt disease, caused by race 6 of Fusarium oxysporum f.sp. ciceris in two contrasting chickpea cultivars
Authors: Faramarzpour Aliakbar , Dezhsetan Sara , Khoshro Hamid Hassaneian , Mansuri Raheleh Mirdar , Pouralibaba Hamid Reza , Shobbar Zahra-Sadat 
Published: December 2024

Abstract

Background
Chickpea (Cicer arietinum L.) ranks as the third most crucial grain legume worldwide. Fusarium wilt (Fusarium oxysporum f. sp. ciceri (Foc)) is a devastating fungal disease that prevents the maximum potential for chickpea production.
Results
To identify genes and pathways involved in resistance to race 6 of Foc, this study utilized transcriptome sequencing of two chickpea cultivars: resistant (Ana) and susceptible (Hashem) to Foc race 6. Illumina sequencing of the root samples yielded 133.5 million raw reads, with about 90% of the clean reads mapped to the chickpea reference genome. The analysis revealed that 518 genes (317 upregulated and 201 downregulated) in the resistant genotype (Ana) and 1063 genes (587 upregulated and 476 downregulated) in the susceptible genotype (Hashem) were differentially expressed under Fusarium wilt (FW) disease stress caused by Foc race 6. The expression patterns of some differentially expressed genes (DEGs) were validated using quantitative real-time PCR. A total of 127 genes were exclusively upregulated under FW stress in the resistant cultivar, including several genes involved in sensing (e.g., CaNLR-RPM1, CaLYK5-RLK, CaPR5-RLK, CaLRR-RLK, and CaRLP-EIX2), signaling (e.g., CaPP7, CaEPS1, CaSTY13, and CaPR-1), transcription regulation (e.g., CaMYBs, CaGLK, CaERFs, CaZAT11-like, and CaNAC6) and cell wall integrity (e.g., CaPGI2-like, CaEXLs, CaCSLD and CaCYP73A100-like).
Conclusions
The achieved results could provide significant insights into the molecular mechanism underlying resistance to FW and could be valuable for breeding programs aimed at developing FW-resistant chickpea varieties.