bluuebunny/crossref_metadata_2025_split huggingface dataset:
Por uma educação de qualidade nas comunidades educativas de serviço educativo aos e com os pobres nas comunidades educativas da Rede La Salle Brasil
Authors: Ramos Roberto Carlos , Fanfa Sarmento Dirleia 
Published: December 2024

A pesquisa, tipo Estudo de Caso, tem como objetivo analisar as concepções dos educadores que exercem a docência, no ano de 2019, nas Instituições lassalistas de serviço educativo aos e com os pobres, situadas no Brasil. Aborda os desafios, os limites e as possibilidades da oferta de educação de qualidade em contextos de vulnerabilidade social, e de que forma tais concepções se relacionam com o ideário educativo lassalista e os dispositivos legais que versam sobre o direito à educação. Os dados, coletados por meio da análise documental e do questionário, são analisados com base na Técnica de Conteúdo. Dentre os principais achados, destacam-se: a) as escolas de serviço educativo aos e com os pobres ofertam uma educação de qualidade por meio do fortalecimento das relações familiares e comunitárias; da promoção da educação humana e cristã; da integração e partilha de experiências na comunidade educativa; b) a gestão dos recursos econômico-financeiros é um desafio para a manutenção das Escolas; c) a necessidade da formação continuada dos educadores contemplar reflexões acerca dos documentos considerando que eles conferem uma identidade à educação lassalista; e d) importância da continuidade de políticas, de programas e da proposição de estratégias e ações específicas, em nível de Província, que reafirmam a centralidade do serviço educativo aos e com os pobres. Portanto, o direito à educação de qualidade, firmado em dispositivos legais internacionais e nacionais e no ideário lassalista, é um direito indispensável para a efetivação dos direitos essenciais à dignidade humana.
Integrated approach to determining the effectiveness of the reservoir pressure maintenance system in carbonate reservoirs
Authors: Isaev Anatoliy A. , Levitina Ekaterina E. 
Published: December 2024

Relevance. The need to improve the oil recovery factor from carbonate reservoirs by increasing sweep/displacement coefficients, as well as by searching for ways to improve the efficiency of the reservoir pressure maintenance system. Aim. To increase the efficiency of developing carbonate reservoirs using a reservoir pressure maintenance system through an integrated approach to studying the impact of injected fluid on reservoir systems with natural and man-made fracturing. Objects. Bashkir (C2bsh) and Vereisky (C2vr) Middle Carboniferous objects of the Dachnoe structure of the Dachnoe deposit of the Republic of Tatarstan, tectonically confined to the Ulyanovsk structure of the South Tatar arch. Methods. Seismic, acoustic, radioactive, hydrodynamic methods, as well as methods of ground microseismic monitoring to identify the nature of the activation of natural and man-made fracturing during hydraulic fracturing and cyclic injection into injection wells. Results. The authors have carried out an analysis of the hydrodynamic system of carbonate reservoirs of the Vereiskian-Bashkirian deposits; identified filtration channels; assessed the direction of injected fluid movement; carried out the analysis of the impact of the formation pressure maintenance system on producing wells at various injection modes and compensation levels in carbonate reservoirs. When carrying out hydraulic fracturing in the reservoirs under consideration, it was established that the crack propagates to both objects, thereby forming a single hydrodynamic system. The conclusions obtained from the work indicate the effectiveness of the system for maintaining reservoir pressure in these carbonate reservoirs. Clarification of data on the filtration channels of both the working agent and the oil displaced by it, in combination with knowledge of the rates of movement of the injected liquid and its distribution profiles, makes it possible to effectively manage the oil field development.
Growth and Yield of Summer Finger Millet (Eleusine coracana) as Affected by Foliar Application of Water-soluble Fertilizers
Authors: Parjane S.D. , Gedam V.B. , Shende S.M. , Shinde R.H. 
Published: December 2024

Background: Generally, finger millet is grown in steepy and sloppy areas where nutrient losses are more due to application of them in soil. Hence to assess the response of finger millet to foliar spray to water soluble fertilizers the experiment has been undertaken. Methods: The agronomic field experiment was conducted at Shiroli Farm, Regional Sugarcane and Jaggery research Station, Kolhapur and Agronomy Section, RCSM College of Agriculture, Kolhapur during summer season of 2023 year to study the growth and yield of summer finger millet (Eleusine coracana) as affected by foliar application of water-soluble fertilizers in a randomized block design with ten treatments replicated thrice viz. absolute control (water spray) at 45 and 60 DAS (T1), RDF (60:30:30 NPK kg ha-1) (T2), 50% RDF fb 1% foliar spray of 19:19:19 at 45 and 60 DAS (T3), 50% RDF fb 2% foliar spray of 19:19:19 at 45 and 60 DAS (T4), 75% RDF fb 1% foliar spray of 19:19:19 at 45 and 60 DAS (T5), 75% RDF fb 2% foliar spray of 19:19:19 at 45 and 60 DAS (T6), 50% RDF fb 1% foliar spray of KNO3 at 45 and 60 DAS (T7), 50% RDF fb 2% foliar spray of KNO3 at 45 and 60 DAS (T8), 75% RDF fb 1% foliar spray of KNO3 at 45 and 60 DAS (T9) and 75% RDF fb 2% foliar spray of KNO3 at 45 and 60 DAS (T10). Result: The results revealed that among the various treatments, treatment RDF (60:30:30 NPK kg ha-1) recorded the highest values for growth, yield parameters and yield of summer finger millet while among the different foliar sprays the application of 75% RDF (45:23:23 NPK kg ha-1) fb 2% foliar spray of 19:19:19 at tillering (45 DAS) and flowering (60 DAS) stage recorded the highest values for growth, yield parameters and yield of summer finger millet. The lowest values were observed with the treatment absolute control (water spray) at tillering (45 DAS) and flowering (60 DAS) stage. The cost of cultivation was highest for the treatment 75% RDF (45:23:23 NPK kg ha-1) fb 2% foliar spray of KNO3 at tillering (45 DAS) and flowering (60 DAS) stage (T10) (Rs. 58645 ha-1) and the highest B:C ratio was noted in the treatment RDF (60:30:30 NPK kg ha-1) (T2) (Rs.130036 ha-1, Rs. 74760 ha-1 and 2.35).
Host-microbiota interactions in the infant gut revealed by daily faecal sample time series
Authors: van Beek Nienke , Katavisto Iiris , Lehto Markku , Kolho Kaija-Leena , de Vos Willem M. , Salonen Anne , Korpela Katri 
Published: December 2024

Aim: This study aims to explore the interplay between host immune factors and gut microbiota in human infants in vivo using time-series daily stool samples and identify biomarkers of host-microbe interactions.
Methods: 216 faecal samples collected from infants aged 5-6 or 11-12 months were analysed for gut microbiota composition, total bacterial load, and biomarkers of immune function.
Results: We identified indications of microbial stimulation of eosinophil cationic protein (ECP), IgA, calprotectin (Cal), intestinal alkaline phosphatase (IAP), and Bactericidal/permeability-increasing protein (BPI) at 6 and 12 months, as well as stimulation of lipocalin 2 (LCN2), lactoferrin (LTF), and alpha-defensin-5 only at 6 months. The associations between biomarker concentrations and bacterial population growth were primarily positive at 6 months and mostly negative at 12 months, suggesting increasing host regulation of the microbiota with age. The exceptions were IAP, which was predictive of declining bacterial populations at both time points, and Cal, whose associations changed from negative at 6 months to positive at 12 months.
Conclusion: There is an age-associated development in the correlation pattern between bacterial population growth and the biomarker concentrations, suggesting that host-microbe interactions change during early development. Albumin appeared as a potential marker of gut permeability, while LCN2 seemed to correlate with gut transit time. Mucin degradation appeared to decrease with age. Mucin2 and IAP emerged as potentially important regulators of the bacterial populations in the infant gut. The study demonstrates the utility of biomarker and bacteria profiling from daily stool samples for analysing in vivo associations between the immune system and the gut microbiota and provides evidence of host regulation of the microbiota in infants.
Outcomes of a Bat-Box Mitigation Scheme in a Mining Development in South Wales, United Kingdom
Authors: Humphries Neil , Price David , Abrahams Carlos 
Published: December 2024

Reclamation Highlights:
Bat boxes should be installed in groups and in advance of the planned mitigation. The use of bat boxes should be seen as only a short-term mitigation measure for the loss of bat resting places in woodlands and may need accompanying supplementary measures. The bat boxes should be maintained and monitored until natural or artificially created roosting opportunities develop and are occupied in the accompanying mature trees.
Prevalence of Complications Due to Transphyseal Hematogenous Osteomyelitis
Authors: Cochard Blaise , Ciprani Asia , Cirillo Marco , Habre Céline , Vazquez Oscar , Frizon Louise , Bracci Benedetta , Dayer Romain , Krzysztofiak Andrezj , Ceroni Dimitri 
Published: December 2024

Background:
Transphyseal hematogenous osteomyelitis (THO) is a common infectious condition, being present in 25% of patients with hematogenous osteomyelitis. A large proportion of pediatric hematogenous osteomyelitis infections can spread through the growth cartilage and therefore may be potentially responsible for growth disorders, leading to limb-length discrepancy or angular deformities. The purpose of the present study was to identify both the prevalence of complications caused by transphyseal osteomyelitis and factors influencing their occurrence.

Methods:
The records for all patients who had been treated for THO over a 17-year period at the University Hospitals of Geneva and the Gesù Bambino Hospital in Rome were retrospectively analyzed. Clinical, biological, and bacteriological data were analyzed. Magnetic resonance imaging (MRI) scans were reviewed for all patients to assess the cross-sectional area of growth plate involvement. Restart of growth of the affected physeal cartilage was subsequently monitored by means of iterative radiographic examination.

Results:
From a cohort of 594 patients with hematogenous osteomyelitis, 89 patients (15.0%) were found to have THO. The median age was 84 months (range, 1 to 167 months), with a bimodal distribution and peaks at 30 and 150 months; 59.6% (53) of the 89 patients were male. The lower limbs were most often affected, with the distal tibia and fibula accounting for 47.2% of all cases. Methicillin-sensitive Staphylococcus aureus and Kingella kingae were the most frequently identified pathogens, accounting for 61.8% of the cases. Virulence factors, such as Panton-Valentine leukocidin (PVL), toxic shock syndrome toxin (TSST), and accessory gene regulator (Agr), were recorded in 12.4% of MSSA strains. Transphyseal lesions affected a median of 7.6% (range, 0.79% to 58.2%) of the physeal surface. Complications affecting further growth were noted in 13% of patients with THO. Thrombocytopenia, leukocytosis, and the presence of virulence factors significantly influenced the occurrence of complications.

Conclusions:
THO affects all age categories of the pediatric population. In the present study, growth disturbance occurred in 13% of cases. The presence of deep thrombocytopenia, leukocytosis, and virulence factors, such as Agr, TSST, and PVL, seems to strongly influence the occurrence of such complications.

Level of Evidence:
Therapeutic Level IV. See Instructions for Authors for a complete description of levels of evidence.
Efficient Modeling of Quasi-Periodic Data with Seasonal Gaussian Process
Authors: Zhang Ziang , Brown Patrick , Stafford Jamie 
Published: December 2024

Abstract

Quasi-periodicity refers to a pattern in a function where it appears periodic at a certain frequency but exhibits evolving amplitudes over time. This is often the case in practical settings such as the modeling of case counts of infectious disease or the population dynamics of species over time.In this paper, we consider a class of Gaussian processes, called seasonal Gaussian Processes (sGP), for model-based inference of such quasi-periodic behavior. We illustrate that the exact sGP can be efficiently fitted using its state space representation for equally spaced time points.However, for large datasets with irregular spacing, the exact approach becomes computationally inefficient and unstable. To address this, we develop a continuous finite dimensional approximation for sGP using the seasonal B-spline (sB-spline) basis constructed by damping B-splines with sinusoidal functions. We prove the covariance convergence rate of the proposed approximation to the true sGP as the number of basis functions increases, and show its superior approximation quality through numerical studies.We also provide a unified and interpretable way to define priors for the sGP, based on the notion of predictive standard deviation (PSD).Finally, we implement the proposed inference method on several real data examples to illustrate its practical usage.
Variational Quantum Kolmogorov-Arnold Network
Authors: Wakaura Hikaru , Suksmono Andriyan B. , Mulyawan Rahmat 
Published: December 2024

Abstract

We implemented a quantum version of the Kolmogorov-Arnold Network (KAN) on a quantum circuit. It optimizes the weight of each synaptic connection to enhance the overall performance of the neurons. This approach offers a significant boost in efficiency over traditional neural networks, as it can be optimized more accurately and requires only a few neurons to solve complex problems. The KAN is a multi-layer network, similar to a traditional neural network, with each layer represented as a matrix containing parameters and feedback. This structure is linear and mirrors the form of Variational Quantum Algorithms. Thus, we propose the Variational Quantum Kolmogorov-Arnold Network (VQKAN) as a quantum version of the Kolmogorov-Arnold Network. We demonstrated the optimization of VQKAN for fitting the given function in various ways, such as by using ansatzes and comparisons.
TBR is an RG-I rhamnose O-acetyltransferase required for epidermal cell adhesion in Arabidopsis thaliana
Authors: Waszczak Cezary , Gavarrón Marina Leal , Shahin Lubana , Vlach Jiri , Archer-Hartmann Stephanie , Zhang Liang , Mathus Emily , Tang Tianyu , Vahisalu Triin , Parik Helen , Yarmolinsky Dmitry , Zamora Olena , Johansson Karin , Sierla Maija , Kollist Hannes , Salojärvi Jarkko , Chapla Digantkumar G. , Moremen Kelley , Andersson Mats , Azadi Parastoo , Amsbury Sam , Mohnen Debra , Urbanowicz Breeanna 
Published: December 2024

Abstract

Pectins are enriched in primary cell walls and the middle lamella, determining cell-to-cell adhesion. O-acetylation of pectin backbones influences their physicochemical properties and plays a role in plant development and interactions with the environment. Here we report the isolation and mapping of two trichome birefringence (tbr) mutants from an ozone-sensitivity screen and show that TBR is required for leaf epidermal cell adhesion. We further demonstrate that TBR is an RG-I rhamnose O-acetyltransferase with an acidic pH optimum, and, through structure-function modelling coupled with biochemical analysis determine the significance of mutated amino acid residues. Notably, TBR utilizes multiple O-acetyl donors, and is able to form acyl-enzyme intermediates in the presence of acetylated pectins, suggesting transacetylase activity. We propose that, in tbr, loss of cell adhesion stems from cell wall modifications triggered by decreased RG-I acetylation during leaf cell proliferation. Together, our data suggest that RG-I O-acetylation affects cell adhesion.
Hypertension in Type 2 Diabetes Mellitus: Prevalence, Patterns, Determinants and Implications for cardiovascular risk prediction in Nigerian patients
Authors: Basil Bruno , Mohammed Jamila , Mba Izuchukwu Nnachi 
Published: December 2024

Abstract

Hypertension is a significant comorbidity in Type 2 Diabetes Mellitus (T2DM), with substantial implications for cardiovascular health. This study aimed to determine the prevalence, patterns, determinants, and cardiovascular implications of hypertension among T2DM patients in Nigeria. A total of 200 T2DM patients were studied, comprising 69 non-hypertensive and 131 hypertensive individuals. There was a high prevalence of hypertension (65.5%) in the study population, predominantly driven by systemic inflammation and long-term diabetes. Hypertensive patients exhibited older age, higher systemic inflammation (elevated hsCRP), longer diabetes duration, and higher cardiovascular risk compared to their non-hypertensive counterparts. Among hypertensive patients, uncontrolled hypertension was common, with a significant clustering in Stage 2 hypertension, highlighting an urgent need for aggressive blood pressure management. Importantly, higher atherogenic risk (AIP) was observed in the uncontrolled hypertension group, emphasizing their increased vulnerability to vascular complications. Multivariate regression analysis identified serum hsCRP levels and diabetes duration as independent predictors of hypertension. These findings emphasize the major role of inflammation and chronic disease progression in the pathogenesis of hypertension among T2DM patients. Comprehensive management strategies focusing on effective blood pressure control, close monitoring of inflammatory markers, and early intervention are essential to mitigate the risk of long-term cardiovascular complications in this population.
Fabric Inspection using Computer Vision
Authors: Senarathne Randitha , Thennakoon Rusitha 
Published: December 2024

Abstract

The textile industry is one of the basic parts of global manufacturing and is about to undergo a significant metamorphosis with the rise in technologies of artificial intelligence and computer vision. Traditionally, fabric inspection has been labor-intensive, requiring a lot of time and highly critical eyes for spotting defects, making it a process often blemished by human error. The advent of AI-enabled technology is allowing textile producers to implement automated inspection systems that enhance efficiency and raise quality benchmarks. This shift not only increases productivity but also guarantees uniformity in production by minimizing defects, ushering in a new age of intelligent manufacturing.
In this project, we developed a fabric inspection system based on computer vision with the YOLOv8 model. Our approach was trained on a dataset containing most frequent fabric defects, including holes, foreign yarn, and slubs (thread errors), as well as surface contamination like dirty marks, dye patches, and oil patches. Several models have been experimented on the dataset, including VGG, ResNet, and YOLOv8, and YOLOv8 performs best in all major metrics: accuracy, precision, recall, F1 score, model size, and prediction time.
To make this solution easily accessible and user-friendly, we implemented a FastAPI-based web application that is capable of real-time fabric quality evaluation. The application integrates our YOLOv8 model with a Logitech C270 camera, which captures RGB images for immediate detection of defects and classification of fabric quality using fault rate. This is an example of how AI can elevate the inspection in textiles, making it faster, more accurate, and more reliable than ever.
Taste of Diversity: Immigrant Contributions to South Korea's Agri-Food Market
Authors: Quan Yinhua , Im Jeong-Bin , Kim Young-June 
Published: December 2024

Abstract

Immigration is posited to enhance trade diversity; however, empirical evidence supporting this relationship remains scarce, especially within the realm of migrant populations and their impact on the agri-food sector. This study is the first to focus on South Korea—a country that has experienced a significant influx of immigrants in recent decades and has traditionally been viewed as mono-ethnic, thus having substantial potential for food diversification. We also introduce “variety” as a measure of diversity, commonly used in the trade–welfare nexus, to examine the impact of immigrants on agri-food imports diversity. Using data from 2009 to 2021 for all the trading partners of South Korea in the agri-food sector, we applied System Generalized Method of Moments estimation within a gravity model framework. The results show that immigrants significantly enhance both agri-food import values and varieties in South Korea. Additionally, immigrants from regions with similar dietary cultures tend to have a lesser impact on agri-food imports.
The increasing share of low-value transactions in international trade
Authors: Minondo Asier , Mínguez Raúl 
Published: December 2024

Abstract

This paper documents a new feature of international trade: the increase in the share of low-value transactions in the total volume of transactions. Using Spanish data, we show that the share of low-value transactions in the total number of transactions increased from 9% to 61% in exports and from 14% to 54% in imports between 1997 and 2023. The increase in the number of low-value trade transactions is explained by the rise of e-commerce and direct-to-customer sales facilitated by online retail platforms, and the fast-fashion strategy followed by clothing firms.
JEL: F10, F14
Economic Analysis of Digital Health Infrastructure: The Case of OneLondon's Impact on Time Efficiency and Safety in Healthcare Services
Authors: McFerran Ethna , Gautama Sanjay , Pace Emma , Wiltshire Sally , Palmer Jocelyn , Koczan Phil , Redman Luke , Lawler Mark 
Published: December 2024

Abstract

Objectives – Conduct an economic analysis of 'Level 1: Joining-up information for direct care' in the OneLondon programme, assess user-reported value, model safety aspects of the digital architecture, and estimate the cost and time consequences of London Care Record utilisation. This analysis aims to map metrics for safety and care outcomes, and model potential downstream effects on morbidity.
Design - An economic model was created using NHS Staff pay estimates to quantify time-based cost savings related to London Care Record utilisation metrics in January 2022 and January 2023. The base case assumed a time-saving equivalent of 0.5 minutes per system access. Three additional scenarios explored time-saving equivalents up to 20 minutes, including one scenario considering a net time loss due to training deficit or user errors. Secondary analyses compared existing safety reports, assessing potential mortality or morbidity changes linked to the London Care Record.
Results - The London Care Record system, experiencing growth in system access, recorded approximately 840,000 visits in January 2022, escalating to around 1.3 million monthly by January 2023. This resulted in a minimum potential time-based cost-saving equivalent of £242,166 (January 2022) and rising to £374,143 (January 2023) per month. Cumulative savings since system launch, stemming from ~27 million accesses, were estimated at up to £44,493,944. London Care Record sites reported fewer safety incidents on average (871.03) compared to other sites (1019.90), with a relative risk of 0.85. System access time-saving equivalent increased from 840,920 minutes (80.9 FTE staff) in January 2022 to 1,299,213 minutes (124.9 FTE staff) in January 2023.
Conclusions - This study offers a timely economic evaluation of implementing the London Care Record, emphasising substantial cost savings through time-based efficiencies and enhanced safety outcomes. The results provide valuable insights for healthcare stakeholders. While long-term evaluations are needed to validate and refine conclusions, integrating digital information technology remains crucial in modern healthcare systems.