bluuebunny/crossref_metadata_2025_split huggingface dataset:
To close, not to close, or to act bigger? Managing the defect of large direct inguinal hernia to reduce the risk of recurrence during laparoscopic TAPP repair: a retrospective cohort study
Authors: Brucchi F. , Ferraina F. , Masci E. , Ferrara D. , Cassini D. , Faillace G. 
Published: May 2024

AbstractHernia recurrence is a common complication after inguinal hernia repair. Recent studies suggest that laparoscopic mesh repair with closure of direct hernia defects can reduce recurrence rates. Our study examines the effectiveness of this approach. A retrospective, multi-center cohort study was conducted on cases performed from January 2013 to April 2021. Patients with direct inguinal hernias (M3 according to EHS classification) undergoing TAPP were included. Three groups were present: closed-defect group, non-closed placing a standard-sized mesh group or non-closed placing an XL-sized mesh group. A 2-year follow-up was recorded. A total of 158 direct M3 inguinal hernias in 110 patients who underwent surgery were present. After propensity score matching at a 1:1 ratio, 22 patients for each group were analyzed. The mean age of patients was 62 years (41–84); with the majority being male (84.8%). 22 patients (40 hernias) underwent closure of the defect; 22 patients (39 hernias) did not undergo closure and used a standard-sized mesh; 22 patients (27 hernias) did not undergo closure and used an XL-sized mesh. There were 5 recurrences at 1 year post-operatively: all in the non-closure group with standard-sized mesh. This difference was statistically significant (p = 0.044). There were 7 recurrences (6.6%) at 2 years post-operatively: 6 in the non-closure group with standard-sized mesh and 1 in the non-closure group with XL-sized mesh (p = 0.007). Closing large direct inguinal hernia defects has shown promise in reducing early recurrence rates. However, conducting larger RCTs in the future could provide more conclusive evidence that might impact the way we approach laparoscopic inguinal hernia repair.
Bernstein–Kantorovich operators, approximation and shape preserving properties
Authors: Acu Ana-Maria , Raşa Ioan , Şteopoaie Ancuţa Emilia 
Published: May 2024

AbstractInspired by the construction of Bernstein and Kantorovich operators, we introduce a family of positive linear operators $$\mathcal{K}_n$$

K
n

preserving the affine functions. Their approximation properties are investigated and compared with similar properties of other operators. We determine the central moments of all orders of $${{\mathcal {K}}}_n$$

K
n

and use them in order to establish Voronovskaja type formulas. A special attention is paid to the shape preserving properties. The operators $${{\mathcal {K}}}_n$$

K
n

preserve monotonicity, convexity, strong convexity and approximate concavity. They have also the property of monotonic convergence under convexity. All the established inequalities involving convex functions can be naturally interpreted in the framework of convex stochastic ordering.
Vitamin C: Is it Relevant or Obsolete in the Modern Era?
Authors: Ramanujan Suruchi , Yadav Sanu , Adler Andrea , Bewley Sara , Radhakrishnan Kadakkal 
Published: May 2024

Abstract
Purpose
In this review, we discuss the historic background of vitamin C, vitamin C’s physiology, its dietary sources, and how deficiency can manifest. We also discuss modern studies investigating the role of Vitamin C in immunity, in cardiovascular disease, and in chronic conditions.

Summary
In the body, vitamin C acts as an essential cofactor in several enzymatic reactions including, but not limited to, neurotransmitter synthesis, hormone amidation, collagen synthesis, hypoxic transcription factor modification, and epigenetic modifications. Scurvy, caused by severe vitamin C deficiency, is an infamous disease recorded in historical documents, with patients presenting with joint ache, bleeding gums, depression, and hysteria. Since humans are unable to naturally synthesize ascorbic acid, they must rely on dietary sources such as fruits and vegetables in order to maintain their vitamin C levels and avoid such manifestations. Maintaining stable vitamin C levels remains increasingly important in the modern era, particularly for the vulnerable pediatric patient with chronic conditions or critical illness. Regulating vitamin C levels could decrease morbidity and mortality in the chronic and critically ill pediatric population. Moving forward, there is a need for more head-to-head trials pertaining to vitamin C’s role in improving immunity, modifying cardiovascular risk, and altering cancer prognosis.
EMC+GD_C: circle-based enhanced motion consistency and guided diffusion feature matching for 3D reconstruction
Authors: Cai Zhenjiao , Zhang Sulan , Zhang Jifu , Li Xiaoming , Hu Lihua , Cai Jianghui 
Published: May 2024

AbstractRobust matching, especially the number, precision and distribution of feature point matching, directly affects the effect of 3D reconstruction. However, the existing methods rarely consider these three aspects comprehensively to improve the quality of feature matching, which in turn affects the effect of 3D reconstruction. Therefore, to effectively improve the quality of 3D reconstruction, we propose a circle-based enhanced motion consistency and guided diffusion feature matching algorithm for 3D reconstruction named EMC+GD_C. Firstly, a circle-based neighborhood division method is proposed, which increases the number of initial matching points. Secondly, to improve the precision of feature point matching, on the one hand, we put forward the idea of enhancing motion consistency, reducing the mismatch of high similarity feature points by enhancing the judgment conditions of true and false matching points; on the other hand, we combine the RANSAC optimization method to filter out the outliers and further improve the precision of feature point matching. Finally, a novel guided diffusion idea combining guided matching and motion consistency is proposed, which expands the distribution range of feature point matching and improves the stability of 3D models. Experiments on 8 sets of 908 pairs of images in the public 3D reconstruction datasets demonstrate that our method can achieve better matching performance and show stronger stability in 3D reconstruction. Specifically, EMC+GD_C achieves an average improvement of 24.07% compared to SIFT-based ratio test, 9.18% to GMS and 1.94% to EMC+GD_G in feature matching precision.
Socio-economic geography and the land rights of indigenous peoples in Paraguay
Authors: Ioris Antonio A. R. 
Published: May 2024

AbstractThe article investigates the long-term tendencies of Paraguayan political-economy, in particular the mounting impacts of export-oriented agribusiness on its indigenous peoples. The analysis is based on the theorisation of the geographical force of subtraction, that is, the evanescent properties of capitalist development, in which economic growth takes place via an interconnected elimination of rights, opportunities and alternatives. The discussion is focussed on the land struggle of the Paĩ Tavyterã in the northeast of Paraguay and members of the same ethnic group who live in Brazil (called Guarani-Kaiowa). It is a relational narrative that draws insights from various actors, communities and situations. The main conclusions are that, despite the fact that Paraguay is now a major exporter of agribusiness commodities, what has prevailed is the accumulation of multiple forms of political, environmental, social and economic violence. At the same time, the decolonising reaction of indigenous peoples, in alliance with other sectors of the working class, aims at reverting the deficit caused by systemic socio-economic subtraction and in pursuit of transformative additions.
From the Reflex Machine to the Changeable Brain
Authors: Chirimuuta Mazviita 
Published: May 2024

AbstractThe brain is exceedingly complex. Neuroscientists have used the tried and tested simplification methods of physics, such as mathematical idealization, in order to deal with neural complexity. This paper queries the appropriateness of certain physics-derived strategies within this biological science by presenting a historical case study (the reflex theory) in which scientists fell into the trap of over-simplifying the brain and nervous system. It then considers whether more recent computational and dynamical systems approaches in neuroscience are also at risk of abstracting away from critical features of neural functionality related to the inherent changeability of those systems.
Enhanced Bearing Fault Diagnosis Through Trees Ensemble Method and Feature Importance Analysis
Authors: Alhams Amir , Abdelhadi Ahmed , Badri Yousif , Sassi Sadok , Renno Jamil 
Published: May 2024

Abstract
Purpose
This research introduces a groundbreaking method for bearing defect detection. It leverages ensemble machine learning (ML) models and conducts comprehensive feature importance analysis. The key innovation is the training and benchmarking of three tree ensemble models—Decision Tree (DT), Random Forest (RF), and Extreme Gradient Boosting (XGBoost)—on an extensive experimental dataset (QU-DMBF) collected from bearing tests with seeded defects of varying sizes on the inner and outer raceways under different operating conditions.

Method
The dataset was meticulously prepared with categorical variable encoding and Min–Max data normalization to ensure consistent class distribution and model accuracy. Implementing the ML models involved a grid search method for hyperparameter tuning, focusing on reporting the models’ accuracy. The study also explores applying ensemble methods and using supervised and unsupervised learning algorithms for bearing fault detection. It underscores the value of feature importance analysis in understanding the contributions of specific inputs to the model’s performance. The research compares the ML models to traditional methods and discusses their potential for advanced fault diagnosis in bearing systems.

Results and Conclusions
The XGBoost model, trained on data from actual bearing tests, outperformed the others, achieving 92% accuracy in detecting bearing health and fault location. However, a deeper analysis of feature importance reveals that the models weigh certain experimental conditions differently—such as sensor location and motor speed. This research’s primary novelties and contributions are comparative evaluation, experimental validation, accuracy benchmarking, and interpretable feature importance analysis. This comprehensive methodology advances the bearing health monitoring field and has significant practical implications for condition-based maintenance, potentially leading to substantial cost savings and improved operational efficiency.
Sociotechnical Imaginaries of Sharing and Emerging Postdigital Meaning-Making Practices in the Astronomy Community
Authors: Durán del Fierro Francisco , Littlejohn Allison , Kennedy Eileen 
Published: May 2024

AbstractFor decades, science communities have had digital technology embedded in their everyday work. However, new research infrastructures are amplifying the presence and use of digital technologies for scientists. In that respect, radio astronomy is undergoing a major transformation causing the community to enter a phase of postdigital work, due to the construction of the most sensitive telescope, the Square Kilometer Array Observatory (SKAO), which scales the presence of digital technology and the amount of data generated. As new digital research infrastructure is set up, sociotechnical imaginaries—symbols and visions of a shared future—emerge, while others become obsolete thus impacting structures and practices of meaning-making. In this paper, we explore the disruptive potential of sociotechnical imaginaries and how astronomers using SKA pathfinder and precursor telescope data respond to these imaginaries and incorporate them into their meaning-making. The analysis shows that postdigital imaginaries related to data circulation, storage, archiving, and reuse have been amplified as SKA facilities and services are set up. Two changes are highlighted regarding a new postdigital condition within the astronomy community. Firstly, as astronomers engage in new postdigital forms of collaboration, they need to reach a consensus on what types of analyses to use by agreeing which methods are appropriate. This affects how scientific questions and research proposals are negotiated collectively, impacting the agency of astronomers. Secondly, as digital tools are increasingly part of astronomers’ daily work, they have to rely on new data analysis methods, which determine what evidence is uninteresting. Overall, these changes pose new questions regarding how meaning-making processes are altered and the way science is undertaken because of these new entanglements of human and non-human actors.
Case study: reducing heating energy consumption in a high tunnel greenhouse with renewable energy and microclimate control by bench-top root-zone heating, bench covers, and under-bench insulation
Authors: Kim Hei-Young , Yu Ok-Youn , Ferrell Jeremy 
Published: May 2024

AbstractAppalachian State University's Nexus project designed an efficient greenhouse heating system that integrated renewable energy and root zone heating technology to reduce the greenhouse heating energy burden on local farmers and installed it at local cooperative farms. This study analyzed 5 years of data from 2018 to 2022 to investigate the energy savings and microclimate control effectiveness of the Nexus heating system installed at Springhouse Farm in North Carolina, USA. By varying bench cover materials, bottom insulation, and the number of loops of root zone tubing, the different soil temperatures required for plant types and growth stages were achieved with a single temperature controller. A root zone heating fluid of 32.2 ℃ satisfactorily maintained the germination soil between 20 and 25 ℃ in March 2019 with an average outside temperature of 4.8 ℃ and an average low temperature of − 0.4 ℃. Growing soil maintained an average temperature of 15 ℃ with bottom insulation and an average of 11–12 ℃ without bottom insulation. Compared to the conventional heating system (a forced-air propane unit heater alone), weather-adjusted propane consumption (propane usage divided by heating degree days) was reduced by 65% with the Nexus system alone and 45% with the Nexus system and unit heater together. It shows that the Nexus system has significantly reduced greenhouse heating energy consumption and maintained productive conditions. The renewable energy fraction ranged only 9–13% of the total thermal energy used due to the high inlet temperature entering the solar thermal collector. This can be improved by separating the heat storage and backup heat source.
A systematic review of primary central nervous system lymphoma
Authors: Zhang Lei , Zhang Qingyuan 
Published: May 2024

AbstractPrimary central nervous system lymphoma is a kind of extranodal lymphoma with high degree of malignancy, hidden onset and strong invasion. It is a special type of non-Hodgkin’s lymphoma and very rare in clinic. Due to little understanding of the pathogenesis and high risk factors of the disease, there are great differences in the prevention, staging and treatment plan of the disease, and there is no strict standard. In this review, we aim to comprehensively summarize the clinical characteristics of PCNSL and the promising clinical treatment strategies for PCNSL to date.
Electronic medical record-based prediction models developed and deployed in the HIV care continuum: a systematic review
Authors: Endebu Tamrat , Taye Girma , Addissie Adamu , Deksisa Alem , Deressa Wakgari 
Published: May 2024

AbstractObjectiveTo assess the methodological issues in prediction models developed using electronic medical records (EMR) and their early-stage clinical impact on the HIV care continuum.MethodsA systematic search of entries in PubMed and Google Scholar was conducted between January 1, 2010, and January 17, 2022, to identify studies developing and deploying EMR-based prediction models. We used the CHARMS (Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modeling Studies), PROBAST (Prediction Model Risk of Bias Assessment Tool), and TRIPOD (Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis) statements to assess the methodological issues. In addition, we consulted reporting guidelines for early-stage clinical evaluation of decision support systems to assess the clinical impact of the models.ResultsThe systematic search yielded 35 eligible articles: 24 (68.6%) aimed at model development and 11 (31.4%) for model deployment. The majority of these studies predicted an individual's risk of carrying HIV (n = 12/35, 34.3%), the risk of interrupting HIV care (n = 9/35), and the risk of virological failure (n = 7/35). The methodological assessment for those 24 studies found that they were rated as high risk (n = 6/24), some concerns (n = 14/24), and a low risk of bias (n = 4/24). Several studies didn't report the number of events (n = 14/24), missing data management (n = 12/24), inadequate reporting of statistical performance (n = 18/24), or lack of external validation (n = 21/24) in their model development processes. The early-stage clinical impact assessment for those 9/11-deployed models showed improved care outcomes, such as HIV screening, engagement in care, and viral load suppression.ConclusionsEMR-based prediction models have been developed, and some are practically deployed as clinical decision support tools in the HIV care continuum. Overall, while early-stage clinical impact is observed with those deployed models, it is important to address methodological concerns and assess their potential clinical impact before widespread implementation.Systematic review registration: PROSPERO CRD42023454765.
A new ring nematode, Xenocriconemella costaricense sp. nov., (Nematoda: Criconematidae) from Costa Rica
Authors: Peraza-Padilla W. , Aráuz-Badilla J. , Cantalapiedra-Navarrete C. , Palomares-Rius J.E. , Archidona-Yuste A. , Castillo P. 
Published: May 2024

Abstract
During nematode surveys of natural vegetation in forests of La Cima de Copey de Dota, San José, San José province, Costa Rica, a Xenocriconemella species closely resembling X. macrodora and related species was found. Integrative taxonomical approaches demonstrated that it is a new species described herein as X. costaricense sp. nov. The new species is parthenogenetic (only females have been detected) and characterised by a short body (276–404 μm); lip region with two annuli, not offset, not separated from body contour; first lip annulus partially covering the second lip annulus. Stylet thin, very long (113–133 μm) and flexible, occupying 30.5–47.8% of body length. Excretory pore located from one or two annuli anterior to one or two annuli posterior to level of stylet knobs, at 42 (37–45) μm from anterior end. Female genital tract monodelphic, prodelphic, outstretched, and occupying 35–45% of body length, with vagina slightly ventrally curved (14–18 μm long). Anus located 6–11 annuli from the tail terminus. Tail conoid and bluntly rounded terminus, the last 2–3 annuli oriented dorsally. Results of molecular characterisation and phylogenetic analyses of D2-D3 expansion segments of 28S rRNA, ITS, and partial 18S rRNA, as well as cytochrome oxidase c subunit 1 gene sequences further characterised the new species and clearly separated it from X. macrodora and other related species (X. iberica, X. paraiberica, and X. pradense).
Testing a Hyperspectral, Bio‐Optical Approach to Identification of Phytoplankton Community Composition in the Chesapeake Bay Estuary
Authors: McKibben S. M. , Schollaert Uz S. , Palacios Sherry L. 
Published: May 2024

AbstractThe multi‐to hyperspectral evolution of satellite ocean color sensors is anticipated to enable satellite‐based identification of phytoplankton biodiversity, a key factor in aquatic ecosystem functioning and upper ocean biogeochemistry. In this work the bio‐optical Phytoplankton Detection with Optics (PHYDOTax) approach for deriving taxonomic (class‐level) phytoplankton community composition (PCC, e.g. diatoms, dinoflagellates) from hyperspectral information is evaluated in the Chesapeake Bay estuary on the U.S. East Coast. PHYDOTax is among relatively few optical‐based PCC differentiation approaches available for optically complex waters, but it has not yet been evaluated beyond the California coastal regime where it was developed. Study goals include: (a) testing the approach in a turbid estuary including novel incorporation of colored dissolved organic matter (CDOM) and non‐algal particles (NAP), and (b) performance assessment with both synthetic mixture and field data sets. Algorithm skill was robust on synthetic mixtures. Using field data, cryptophyte and/or cyanophyte phytoplankton groups were predicted, but diatom and dinoflagellate detection was not conclusive. For one field data set, small but significant improvements were observed in predicted PCC groups when tested with incorporation of CDOM and NAP into the algorithm, but not for the second field data set. Sensitivity to three hyperspectral‐relevant spectral resolutions (1, 5, 10 nm) was low for all field and synthetic data. PHYDOTax can identify some phytoplankton groups in the estuary using hyperspectral, field‐collected measurements, but validation‐quality data with broad temporospatial coverage are needed to determine whether the approach is robust enough for science applications.
Stresses Induced by Magma Chamber Pressurization Altered by Mechanical Layering and Layer Dip
Authors: Clunes Matías , Browning John , Cortez Jorge , Cembrano José , Marquardt Carlos , Kavanagh Janine L. , Gudmundsson Agust 
Published: May 2024

AbstractUnderstanding the stress distribution around shallow magma chambers is vital for forecasting eruption sites and magma propagation directions. To achieve accurate forecasts, comprehensive insight into the stress field surrounding magma chambers and near the surface is essential. Existing stress models for pressurized magma chambers often assume a homogenous elastic half‐space or a heterogeneous crust with varying mechanical properties in horizontal layers. However, as many volcanoes have complex, non‐horizontal, and heterogeneous layers, we enhance these assumptions by considering mechanically stratified layers with varying dips. We employed the Finite Element Method (FEM) to create numerical models simulating three chamber geometries: circular, sill‐like and prolate. The primary condition was a 10 MPa excess pressure within the magma chamber, generating the stress field. Layers dips by 20‐degree increments, with differing elastic moduli, represented by stiffness ratios of the successive layers (EU/EL) ranging from 0.01 to 100. Our findings validate prior research on heterogeneous crustal modeling, showing that high stiffness ratios disrupt stress within layers and induce local stress rotations at mismatched interfaces. Layer dip further influences stress fields, shifting the location of maximum stress concentration over varying distances. This study underscores the significance of accurately understanding mechanical properties, layer dip in volcanoes, and magma chamber geometry. Improving forecasting of future eruption vents in active volcanoes, particularly in the Andes with its deformed, folded, and non‐horizontal stratified crust, hinges on this knowledge. By expanding stress models to incorporate complex geological structures, we enhance our ability to forecast eruption sites and magma propagation paths.