bluuebunny/crossref_metadata_2025_split huggingface dataset:
Influence of etiopathogenetic factors on the development of chronic periodontitis in patients with nonalcoholic fatty liver disease
Authors: Emelyanov D. V. 
Published: January 2025

Periodontitis is an irreversible periodontal disease with periods of remission and exacerbations, rapid progression and resistance to treatment. Periodontal inflammation is most often caused by specific dental microorganisms present in large numbers in niches on the surface of the teeth and further in periodontal pockets. The resulting microbial dysbacteriosis, in conjunction with disproportionate inflammatory immune reactions of a person, contributes to the development of inflammatory conditions, which leads to tissue destruction. Studies of the causal relationship between periodontitis and systemic diseases indicate that periodontal pathogens and the resulting immune­­inflammatory reactions are associated with the etiopathogenesis of most non­­infectious systemic diseases, including non­­alcoholic fatty liver disease (NAFLD). The article presents the results of using a data set to obtain information about factors that can directly influence the pathogenesis of chronic periodontitis in patients with NAFLD.
Objective — to investigate the cause­­and­­effect relationships between potential risk factors for the development of chronic periodontitis in patients with non­­alcoholic fatty liver disease to determine a reliable diagnostic tool for the prevention of periodontitis.
Materials and methods. The study included 259 patients with verified NAFLD. After pre­­processing of the data, 10 most important factors were identified, which were arranged into 4 components from 53 potential ones used as input features. Principal component analysis was assessed using the varimax rotation method with Kaiser normalization. To identify factors, we used a value of >1 and a factor load of >0.4.
Results. Factor analysis revealed 4 components (factors) of periodontitis risk (alimentary, salivary, hygienic and metabolic) which together explained 72% of the variance of the measurements. The analysis noted the influence of unhealthy eating habits and oral hygiene and changes in oral fluid on periodontal health, especially in the context of NAFLD.
Conclusions. The results obtained make it possible to develop new approaches to the prevention and treatment of periodontitis, especially in patients with metabolic diseases.
Restoration as Transformative Reparative Practice
Authors: Barra Monica Patrice , Jessee Nathan 
Published: January 2025

Abstract
This article examines ecological restoration as a possible transformative and reparative practice amid ongoing colonial racial capitalist environmental destruction. While restoration—traditionally focused on repairing damaged landscapes—has increasingly recognized the importance of Indigenous knowledges, community engagement, and environmental justice, this article brings together critiques of normative restoration and critical discussions on reparations to locate environmental restoration within a broader ecology of reparations, or repair, for colonial violence that has disproportionately hurt Indigenous and Black communities. We consider how ideas and activities focused on “reparation ecology” offer new terrain upon which to foreground the interconnectedness of ecological and social repair through land rights, relationality, epistemic diversity, and solidarity. Drawing on case studies across geographies, we highlight how ecological restoration is at a crossroads for either internalizing or confronting injustices perpetrated through colonization and racism.
Productivity of columnar apple tree depending on fertilizer application and drip irrigation methods
Authors: Dzhura N. Yu. , Vorobyev V. F. , Bobkova V. V. , Konovalov S. N. 
Published: January 2025

Mineral nutrition and water regime of soils affect significantly the yield and fruit quality of apple trees. In this connection, the present study was aimed at determining the effectiveness of different fertilization methods under drip irrigation on the productivity of columnar apple trees grown on sod-podzolic soils. Field experiments conducted in 2021–2023 involved the following variants: (1) without fertilizers and drip irrigation control (control); (2) drip irrigation; (3) drip irrigation + N90K90 (solid); (4) drip irrigation + N90K90 fertigation. It was found that both drip irrigation alone and fertilization methods have a different effect on the productivity of columnar apple trees, largely depending on the genetic features of the variety and weather conditions. The highest tree productivity was achieved in the variant of drip irrigation in combination with N90K90 in the form of solid fertilizers. The President and Ostankino varieties showed an increase in productivity by 11.2 % and 18.5 %, respectively, compared to the control. The vegetation productivity dynamics depended on the genetic features of the variety to a greater extent. Thus, in similar experimental variants, the total growth length of the President variety exceeded that of the Ostankino variety by 45.4 %. The application of drip irrigation and fertilization methods contributed to an increase in the vegetation productivity of the President variety by an average of 18.3 % compared to the control. Conversely, the Ostankino variety showed a minor decrease in the activity of growth processes in the experimental variants. The content of chlorophyll (a + b) in leaves varied by years, experimental variants, and the interaction of factors. Chlorophyll fluorescence in leaves (Fm/F0) was significantly influenced by the years of research. To a lesser extent, the efficiency of phytosystem II was infl uenced by irrigation and fertilization methods.
ВИЗНАЧЕННЯ РАЦІОНАЛЬНОГО КОМПОНУВАННЯ ҐРУНТОРОЗРОБНОГО ОБЛАДНАННЯ ЗА ПОБУДОВОЮ 3D-МОДЕЛЕЙ ЕЛЕМЕНТІВ ТІЛ СКОЛУ ҐРУНТУ
Authors: Лук’янчук О. П. , Степанюк Б. І. 
Published: January 2025

Описано теоретичний спосіб визначення зусиль різання в різних умовами розробки. Отримано аналітичні залежності для визначення зусиль різання при блокованому, асиметрично блокованому, напівблокованому та вільному способі різання. Отримано залежності співвідношень зусиль, об’ємів тіл сколу та площ контакту бокових стінок елементів тіл сколу відспіввідношення ширини ножа до глибини різання, за допомогою яких можна визначати значення зусиль для різних умов різання та раціональне розташування робочих органів, знаючи лише одне зусилля і параметри 3d-моделей елементів тіл сколу ґрунту
The influence of the molecular weight of hyaluronic acid on the mangiferin release kinetics from the polymer matrix
Authors: Snetkov P. P. , Shaikenov R. O. , Klimshina V. I. , Generalova Yu. E. , Morozkina S. N. 
Published: January 2025

Introduction. Currently, the use of natural biologically active agents (BAA) as effective antibacterial drugs for both external and internal use is becoming widespread. Polyphenol mangiferin, extracted from the leaves of the Mangifera indica plant, is the most attractive BAA. Despite high antimicrobial activity against gram-positive and gram-negative strains of bacteria, the use of mangiferin is limited by its low aqueous solubility. To increase solubility and, accordingly, bioavailability, various approaches are used, in particular, encapsulation in polymer and biopolymer matrices. One of the promising biopolymers for the encapsulation of biologically active substances is hyaluronic acid, which is completely biocompatible with the tissues of a living organism and is capable of complete biodegradation under the influence of enzymes (hyaluronidases).Aim. Study of the release kinetics of the biologically active agent (mangiferin) from a polymer matrix based on hyaluronic acid with different molecular weights.Materials and methods. Polymer films obtained by casting method from 1.5 wt.% forming solutions of hyaluronic acid with a molecular weight of 1.30 and 2.48 MDa with different contents of mangiferin were used as the objects of the study. The weight ratio of hyaluronic acid to mangiferin varied from 5 to 25. Released mangiferin was measured by UV/Vis spectrophotometry at a wavelength of 237 nm. A phosphate buffered saline with pH 7.4 was used as a model medium. The mangiferin release kinetic was assessed using various mathematical models.Results and discussion. Mangiferin release kinetic from a polymer matrix based on hyaluronic acid has a release sigmoidal pattern. The release mechanism has a complex nature of the Super Case II transport type, with the exception of a sample with a low content of mangiferin and hyaluronic acid with molecular weight equal to 1.3 MDa, for which an abnormal release pattern is detected (non-Fickian diffusion), due to the hydrophilic nature of hyaluronic acid, the rapid swelling of the polymer matrix, as well as a significant leading in the diffusion of mangiferin compared to the relaxation rate of the polymer. The most suitable model is the Weibull model, which describes the mangiferin release kinetics with greater accuracy compared to other mathematical models.Conclusion. The results obtained indicate the potential possibility of using the developed polymer films as biomedical materials for external use, which provide transdermal delivery of pharmaceutical agents. The authors of the study are planning to develop a methodology for prolonged and controlled release of a loaded biologically active agent, including by various cross-linking agents.
Caspase-1 activation, IL-1/IL-6 signature and IFNγ-induced chemokines in lungs of COVID-19 patients
Authors: Cambon Audrey , Guervilly Christophe , Delteil Clémence , Potere Nicola , Bachelier Richard , Tellier Edwige , Abdili Evelyne , Leprince Marine , Giani Marco , Polidoro Ildo , Albanese Valentina , Ferrante Paolo , Coffin Laurence , Schiffrin Michael , Arnaud Laurent , Lacroix Romaric , Roque Sandrine , Forel Jean-Marie , Hraiech Sami , Daniel Laurent , Papazian Laurent , Dignat-George Françoise , Kaplanski Gilles 
Published: January 2025

RationaleCOVID-19-associated acute-respiratory distress syndrome (C-ARDS) results from a direct viral injury associated with host excessive innate immune response mainly affecting the lungs. However, cytokine profile in the lung compartment of C-ARDS patients has not been widely studied, nor compared to non-COVID related ARDS (NC-ARDS).ObjectivesTo evaluate caspase-1 activation, IL-1 signature, and other inflammatory cytokine pathways associated with tissue damage using post-mortem lung tissues, bronchoalveolar lavage fluids (BALF), and serum across the spectrum of COVID-19 severity.MethodsHistological features were described and activated-caspase-1 labeling was performed in 40 post-mortem biopsies. Inflammatory cytokines were quantified in BALF and serum from 19 steroid-treated-C-ARDSand compared to 19 NC-ARDS. Cytokine concentrations were also measured in serum from 128 COVID-19 patients at different severity stages.Measurements and main resultsTypical “diffuse alveolar damage” in lung biopsies were associated with activated caspase-1 expression and vascular lesions. Soluble Caspase-1p20, IL-1β, IL-1Ra, IL-6 and at lower level IFNγ and CXCL-10, were highly elevated in BALF from steroid-treated-C-ARDS as well as in NC-ARDS. IL-1β appeared concentrated in BALF, whereas circulating IL-6 and IL-1Ra concentrations were comparable to those in BALF and correlated with severity. TNFα, TNFR1 and CXCL8 however, were significantly higher in NC-ARDS compared to C-ARDS, treated by steroid.ConclusionsIn the lungs of C-ARDS, both caspase-1 activation with a predominant IL-1β/IL-6 signature and IFNγ -associated chemokines are elevated despite steroid treatment. These pathways may be specifically targeted in ARDS to improve response to treatment and to limit alveolar and vascular lung damage.
First-trimester metabolic profiling of gestational diabetes mellitus: insights into early-onset and late-onset cases compared with healthy controls
Authors: Dudzik Danuta , Atanasova Vangeliya , Barbas Coral , Bartha Jose Luis 
Published: January 2025

IntroductionGestational diabetes mellitus (GDM) is a global health concern with significant short and long-term complications for both mother and baby. Early prediction of GDM, particularly late-onset, is crucial for implementing timely interventions to mitigate adverse outcomes. In this study, we conducted a comprehensive metabolomic analysis to explore potential biomarkers for early GDM prediction.MethodsPlasma samples were collected during the first trimester from 60 women: 20 with early-onset GDM, 20 with late-onset GDM, and 20 with normal glucose tolerance. Using advanced analytical techniques, including liquid chromatography-tandem mass spectrometry (LC-MS/MS) and gas chromatography-mass spectrometry (GC-MS), we profiled over 150 lipid species and central carbon metabolism intermediates.ResultsSignificant metabolic alterations were observed in both early- and late-onset GDM groups compared to healthy controls, with a specific focus on glycerolipids, fatty acids, and glucose metabolism. Key findings revealed a 4.0-fold increase in TG(44:0), TG(46:0), TG(46:1) with p-values &lt;0.001 and TG(46:2) with 4.7-fold increase and p-value &lt;0.0001 as well as changes in several phospholipids as PC(38:3), PC(40:4) with 1.4-fold increase, p &lt; 0.001 and PE(34:1), PE(34:2) and PE(36:2) with 1.5-fold change, p &lt; 0.001 in late-onset GDM.DiscussionObserved lipid changes highlight disruptions in energy metabolism and inflammatory pathways. It is suggested that lipid profiles with distinct fatty acid chain lengths and degrees of unsaturation can serve as early biomarkers of GDM risk. These findings underline the importance of integrating metabolomic insights with clinical data to develop predictive models for GDM. Such models could enable early risk stratification, allowing for timely dietary, lifestyle, or medical interventions aimed at optimizing glucose regulation and preventing complications such as preeclampsia, macrosomia, and neonatal metabolic disorders. By focusing on metabolic disruptions evident in the first trimester, this approach addresses a critical window for improving maternal and fetal outcomes. Our study demonstrates the value of metabolomics in understanding the metabolic perturbations associated with GDM. Future research is needed to validate these biomarkers in larger cohorts and assess their integration into clinical workflows for personalized pregnancy care.
Determinants of epilepsy among outpatients in public health institutions of Dawo district, South West Shoa Zone, Oromia, Ethiopia, 2023: an institutional-based unmatched case-control study
Authors: Alemu Teshoma , Cheru Abera , Daba Lema , Tiki Takele , Ifa Meseret 
Published: January 2025

BackgroundGlobally, in ~50% of epilepsy cases, the underlying cause remains unknown, despite the fact that various disease pathways may contribute to the condition. Nearly 80% of people with epilepsy live in low- and middle-income countries and the risk of premature death in people with epilepsy is up to three times higher than that for the general population. Identifying the determinants of epilepsy is important for applying evidence-based interventions to achieve a better outcome. However, this information is scarce in a country with limited resources like Ethiopia.ObjectiveThis study aimed to assess the determinant of epilepsy among outpatients in Dawo public health institutions, from 29 February to 15 April 2023.MethodAn institution-based unmatched case-control study design was used, involving 61 cases and 122 control study subjects, who were selected using a consecutive sampling technique from public health institutions in Dawo. Data were collected using a pre-tested structured questionnaire. The data were coded, entered into EpiDATA version 3.1, and exported to SPSS version 20, for further analysis. Descriptive analysis was used to determine the percentages and frequency distributions. Logistic regression analysis was used to identify the determinants of epilepsy, and a variable with p &lt; 0.05 was considered statistically significant.ResultsA total of 61 cases and 120 controls were included in the study, with an overall response rate of 98.90%. The majority of participants, 38 (62.3) of the cases and 63 (52.5) of the controls, were farmers by occupation. A family history of epilepsy (AOR = 13.71 95% CI 3.030–22.006), history of febrile seizure (AOR = 14.57 95% CI 2.930–24.522), history of head injury (AOR = 6.853 95% CI 1.780–16.402), and non-use of latrine were found to be determinants of epilepsy (AOR = 0.028 95% CI 0.008–0.040).Conclusion and recommendationsThe current study identified a family history of epilepsy, a history of febrile seizures, head injury, and unavailability of latrines as independent predictors of epilepsy in the study area. The information that adverse febrile seizures increase the risk of epilepsy suggests that a significant proportion of epilepsy cases in Dawo district could be prevented through improved maternal, neonatal, and child care. It is recommended that the Dawo Health Office, along with relevant stakeholders, focus on addressing this issue at various levels.
The potential of short-wave infrared hyperspectral imaging and deep learning for dietary assessment: a prototype on predicting closed sandwiches fillings
Authors: Kok Esther , Chauhan Aneesh , Tufano Michele , Feskens Edith , Camps Guido 
Published: January 2025

IntroductionAccurate measurement of dietary intake without interfering in natural eating habits is a long-standing problem in nutritional epidemiology. We explored the applicability of hyperspectral imaging and machine learning for dietary assessment of home-prepared meals, by building a proof-of-concept, which automatically detects food ingredients inside closed sandwiches.MethodsIndividual spectra were selected from 24 hyperspectral images of assembled closed sandwiches, measured in a spectral range of 1116.14 nm to 1670.62 nm over 108 bands, pre-processed with Standard Normal Variate filtering, derivatives, and subsampling, and fed into multiple algorithms, among which PLS-DA, multiple classifiers, and a simple neural network.ResultsThe resulting best performing models had an accuracy score of ~80% for predicting type of bread, ~60% for butter, and ~ 28% for filling type. We see that the main struggle in predicting the fillings lies with the spreadable fillings, meaning the model may be focusing on structural aspects and not nutritional composition.DiscussionFurther analysis on non-homogeneous mixed food items, using computer vision techniques, will contribute toward a generalizable system. While there are still significant technical challenges to overcome before such a system can be routinely implemented in studies of free-living subjects, we believe it holds promise as a future tool for nutrition research and population intake monitoring.
First-line treatment for advanced or metastatic EGFR mutation-positive non-squamous non-small cell lung cancer: a network meta-analysis
Authors: Zhang Mengyao , Sun Lan 
Published: January 2025

BackgroundSeveral head-to-head meta-analyses have compared the efficacy and safety of different first-line treatments in patients with EGFR mutation-positive (M+) advanced or metastatic non-squamous non-small cell lung cancer (nsq-NSCLC). However, there is a lack of comprehensive evaluation encompassing multiple treatment strategies. Our objective is to conduct a network meta-analysis that includes various treatment modalities, enabling both direct and indirect comparisons for a more thorough assessment.MethodsWe conducted a search of PubMed, Embase, Cochrane Library, and Web of Science databases from inception until May 8, 2024, to identify eligible randomized controlled trials (RCTs). The primary endpoints were progression-free survival (PFS) and overall survival (OS), while secondary outcomes included objective response rate (ORR) and grade 3 or higher adverse events (≥3AEs). Stata 15.0 and R 4.3.2 software were utilized for the network meta-analysis.ResultsA total of 30 RCTs, comprising 8654 participants, were included. The study encompassed the following 19 treatments: Chemotherapy; Afatinib; Afatinib + Cetuximab; Apatinib + Gefitinib; Befotertinib; Cetuximab + Chemotherapy; Erlotinib; Erlotinib + Bevacizumab; Erlotinib + Chemotherapy; Gefitinib; Gefitinib + Chemotherapy; Gefitinib + Olaparib; Icotinib; Icotinib + Chemotherapy; Lazertinib; Naquotinib; Osimertinib; Osimertinib + Bevacizumab; Osimertinib + Chemotherapy. The network meta-analysis results indicated that, in terms of PFS, Osimertinib + Chemotherapy (SUCRAs: 93.4%) and Osimertinib (SUCRAs: 84.61%) were the most effective. Regarding OS, Lazertinib (SUCRAs: 89.72%), Gefitinib (SUCRAs: 72.07%), and Osimertinib + Chemotherapy (SUCRAs: 70.74%) emerged as the top three options. Afatinib (SUCRAs: 92.27%) was associated with the best ORR improvement. For ≥3AEs, Afatinib (SUCRAs: 74.93%) and Osimertinib (SUCRAs: 69.42%) were likely the best choices.ConclusionCurrent evidence suggests that, considering both survival and safety, Osimertinib stands out as the preferred first-line treatment for untreated EGFR M + advanced or metastatic nsq-NSCLC. Notably, the combination of Osimertinib with chemotherapy demonstrated superior survival benefits. However, due to the limitations in the number and quality of included studies, these conclusions await further validation through more high-quality research.Systematic review registrationhttps://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42024562981, identifier CRD42024562981.
Pedals possible: a pilot study of adaptive cycling as a school-based rehabilitation intervention for students with disabilities
Authors: Brennan Julia S. , Keller Everette , Humanitzki Elizabeth , Wade Jessica Nichole , Catledge Chad , Houston Stephen , Beall Jonathan , Dodds Cynthia B. 
Published: January 2025

IntroductionPediatric therapists in school-based practice can incorporate exercise promotion through adaptive cycling for children with disabilities who experience high levels of sedentary behavior and low levels of moderate to vigorous activity.MethodsThe impacts of an adaptive cycling pilot program for children with disabilities were investigated through a community-based participatory study. During an eight-week intervention, students had a goal of riding adaptive cycles three times a week for twenty minutes. Using a pre-and post-test design, primary outcomes included individualized goal attainment scaling (GAS) linked to students' individualized education plans (IEP) and the 6-minute cycling test (6MCT) measuring cycling distance. Secondary outcomes included cycling duration over time, assistance levels for pedaling and steering, a “happiness scale”, and overall program satisfaction of parents and teachers. To prevent harm, pain behavior was examined using the Faces, Legs, Activity, Cry, Consolability (FLACC).ResultsCycling had a positive impact on students with disabilities. No increased levels of pain behavior or adverse events were reported. Individual GAS T-score means significantly improved to 0.24 and program effectiveness achieved a T-score value of 50.53. The mean distance of 6MCT increased from 728.95 feet to 880.5 feet. Secondary measures also documented significant improvement. Parents and teachers reported high overall satisfaction.DiscussionAdaptive cycling can incorporate needed physical activity into the school day and also support the achievement of IEP goals, physical activity capacity, and emotional happiness. Scaling adaptive cycling programs for children with disabilities should be considered an excellent opportunity for educational growth, health, and well-being.