bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cerebral Arteriovenous Malformation in a Pediatric Patient with Severe Systemic Hypertension
Authors: Rani Divya , Kumar Meenakshi , Jain Mansi , Kochhar Anjali 
Published: February 2024

AbstractArteriovenous malformations (AVMs) are a tangle of blood vessels that connects arteries and veins in which the feeding arteries are directly connected to the venous channels. Cerebral AVM needs special consideration due to high risk of bleeding and neurological deficit associated with morbidity and mortality. In pediatric population, prevalence rate of cerebral AVM is 0.02%. The systemic hemodynamic changes are seen more frequently with peripheral AVM, whereas its association with cerebral AVM is rare. We report a rare case of cerebral AVM in a 12-year-old child with severe systemic hypertension and electrocardiogram changes of biventricular hypertrophy planned for surgical resection of AVM in view of intracerebral bleed. This case illustrates the importance of detailed cardiac, renal, and endocrine evaluation in children with cerebral AVM with systemic hypertension and left ventricular hypertrophy to rule out other causes of systemic hypertension prior to surgery.
Dietary Inflammatory Index of Obese Individuals with Obstructive Sleep Apnea: A Descriptive Study
Authors: Sousa Bianca Aparecida de , Vicente Beatriz Martins , Bastos Amália Almeida , Ribeiro Sandra Maria Lima , Aquino Rita de Cássia de , Quaresma Marcus Vinícius dos Santos , Tufik Sergio , De-Mello Marco Túlio , Melo Camila Maria de 
Published: February 2024

AbstractThe objective of the present study was to describe the dietary inflammatory profile and its correlations with sleep parameters of obese individuals with obstructive sleep apnea (OSA). Forty individuals underwent nocturnal polysomnography, anthropometric measurements, body composition by plethysmography, assessment of food consumption by three-day food records, and blood collection for the lipid, glycemic and hormonal profile. Food consumption data were evaluated semiquantitatively, quantitalively assessment, and calculation of the dietary inflammatory index (DII) was perfomed. The results demonstrated a predominantly proinflammatory dietary profile. The participants showed a low intake of fruit and vegetables. Additionally, a low consumption of fiber, magnesium, vitamin D, and vitamin E was observed, although there was an adequate distribution of macronutrients. In conclusion, although the inflammatory profile did not correlate with OSA, the study showed a directly proportional relationship between adequate dietary patterns and better sleep quality.
Prophylactic Antibiotic Use Prior to Port Placement and Its Effect on Insertion-Related Infection Rates: A Five-Year Retrospective Review
Authors: Smith Hubert E. , Sabri Saher S. , Jain Neil K. , Syed Zuby J. , Nguyen Quang H. , Buckley Donna C. 
Published: February 2024

Abstract
Purpose The aim of this study was to compare insertion-related port infection rates between patients who received intraprocedural prophylactic antibiotics versus those who did not.
Materials and Methods All patients who underwent port insertion by interventional radiology from 7/1/ 2015 through 7/1/2020 at a single U.S.-based Health System were identified using electronic medical records database. During this period, 2,099 patients underwent port placement at three hospitals within the same health system. One-thousand sixty-three patients who underwent port placement at one hospital received periprocedural antibiotics and 1,036 patients at the two other hospitals did not receive antibiotics. Retrospective data were reviewed on each patient including demographics, reason for port insertion, and evidence of port infection. All relevant data up to 30 days postinsertion were reviewed, including blood cultures, unplanned readmissions, emergency room visits, and clinic visits. Qualitative trends were evaluated for various subgroups including presence of bacteremia, time from insertion, and demographics. Patients with an obvious external source of infection were excluded.
Results Insertion-related infection rate was 0.9% for the entire cohort, 1.23% for the antibiotic group, and 0.68% for the nonantibiotic group. The insertion-related infection for adult patients was 0.88% for the antibiotic group and 0.68% for the nonantibiotic group. The pediatric insertion-related infection rate was 7.69%, all of whom received intravenous antibiotics. No other clear qualitative differences were noted for analyzed subgroups.
Conclusion This study demonstrates low insertion-related port infection rate with no clinically significant difference between the groups that did or did not receive antibiotics. Subgroup analysis showed an exceptionally high infection rate in the pediatric population despite receiving preprocedure antibiotics.
Ischemic Stroke Post-Transradial Chemoembolization
Authors: Justaniah Almamoon I. , Omar Mohamed A. , Tashkandi Abdulaziz M. 
Published: February 2024

AbstractTransarterial chemoembolization is one of the approved locoregional treatment options for hepatocellular carcinoma. The procedure is safe; however, stroke may happen as one of the rarest complications. Our patient is a 68-year-old male who underwent transradial chemoembolization to treat hepatocellular carcinoma, who then developed ischemic stroke on postoperative day 1. The possible causes of stroke in our patient will be presented with review of the literature. Although rare, stroke post-chemoembolization can happen. The presence of intratumoral shunt or inadvertent injection of air bubbles in a coexisting right-to-left shun or the use of transradial approach can increase the risk of stroke.
Image-Guided Percutaneous Sclerotherapy for Orbital Low-Flow Malformation: Our Experience
Authors: Lokdarshi Gautam , Kumar Shwetam , Kumar Subhash , Nitu Nitu , Gaur Nripen 
Published: February 2024

AbstractFor a safe sclerotherapy session to be completed in the orbital low-flow malformation (namely lymphovenous malformation or venolymphatic malformation), accurate identification of the target lesion for the drug injection is crucial. Regarding the dependability and viability of the injection approach, the authors have discussed their experiences with image-guided percutaneous sclerotherapy on a few patients.
Usefulness of Intraoperative Infrared Thermography in Intracranial Surgeries: Past, Present, and Future
Authors: da Costa Camila Monteiro Gonçalves , da Costa Vinícius Verbicário Botelho , de Souza Caio Araujo , Menezes Diego Rodrigues , Acioly Marcus Andre 
Published: February 2024

AbstractWith the advancement of technology in Neurosurgery, imaging guidance for surgical planning and intraoperative assessment has become relevant. Currently, two major methods of imaging guidance are generally explored in the literature, namely based on imaging and fluorescence. These techniques, however, are not without limitations. Thermal imaging has potentially broad applications in clinical practice, especially for intracranial diseases. Infrared thermography (IT) has been an underestimated tool with few reports on its usefulness during intracranial surgeries. In this article, we aim to provide a brief discussion on the limitations of current intraoperative imaging techniques for intracranial surgeries and to provide an in-depth state-of-the-art review on intraoperative IT (IIT) for intracranial lesions. High-resolution IIT is a non-invasive alternative imaging method that provides real-time estimation of regional cerebral blood flow. For brain tumors, the studies were mostly directed to diagnostic purposes and occasionally for lesion-localization. The use of IIT to address the extent of resection is a potential new application. Clinical data in this issue suggests that IIT might detect residual tumors, occasionally not assessed by other imaging technologies. Thermographic measurements during vascular and epilepsy surgeries comprise an interesting field for future research with potential clinical implications. Further experimental and clinical studies should be addressed to provide technical refinements and verify the usefulness of this noninvasive technology in neurosurgery.
CEFR vocabulary level as a predictor of user interest in English Wiktionary entries
Authors: Lew Robert , Wolfer Sascha 
Published: February 2024

AbstractThis contribution explores the relationship between the English CEFR (Common European Framework of Reference for Languages) vocabulary levels and user interest in English Wiktionary entries. User interest was operationalized through the number of views of these entries in Wikimedia server logs covering a period of four years (2019–2022). Our findings reveal a significant relationship between CEFR levels and user interest: entries classified at lower CEFR levels tend to attract more views, which suggests a greater user interest in more basic vocabulary. A multiple regression model controlling for other known or potential factors affecting interest: corpus frequency, polysemy, word prevalence, and age of acquisition confirmed that lower CEFR levels attract significantly more views even after taking into account the other predictors. These findings highlight the importance of CEFR levels in predicting which words users are likely to look up, with implications for lexicography and the development of language learning materials.
Climate change and food security in South Asia: the importance of renewable energy and agricultural credit
Authors: Rehman Abdul , Batool Zakia , Ma Hengyun , Alvarado Rafael , Oláh Judit 
Published: February 2024

AbstractWeather, trade restrictions, rising oil prices, a lack of financial support for farmers, and other factors have contributed to the destabilization of South Asian food security. The purpose of this study is to determine the long-run and short-run relationships between climate change, agricultural credit, renewable energy, and food security for a sample of South Asian countries between 1990 and 2021. The Dynamic Common Correlated technique is utilized for empirical analysis since it directly addresses the issue of cross-sectional dependency while delivering accurate cointegration findings. The study’s empirical findings show that climate change reduces food availability and increases the incidence of food insecurity in South Asia. In contrast, the use of renewable energy sources has a positive effect on food security in the short-run but not in the long-run, while the availability of credit to farmers has a positive effect on food security. Findings suggest that South Asian countries may reduce climate change’s negative effect on food security by investing in climate services, climate-resilient infrastructure, growing drought-resistant crops, using supplemental reinforced agricultural practices, and improving their weather forecasting capabilities.
Does large-scale research infrastructure affect regional knowledge innovation, and how? A case study of the National Supercomputing Center in China
Authors: Yang Haodong , Liu Li , Wang Gaofeng 
Published: February 2024

AbstractLarge-scale research infrastructures (LSRIs) are widely acknowledged as a crucial instrument for venturing into the uncharted territories of science and technology, as well as contributing to the well-being of society. However, only a limited number of literature have scrutinized the impact of LSRIs, founded upon a causal inference framework. Moreover, the function of LSRIs in the advancement of innovation at the regional level remains inadequately identified. Drawing on the resource-based view, this study develops a conceptual framework that links the scientific effect of LSRIs to innovation resources in order to assess their impact on knowledge innovation (KI). Taking China’s National Supercomputing Center (NSC) as a case, three major mechanism hypotheses are proposed for the impact of NSC on KI, including basic effect, network effect, and technology effect. Using panel data from 283 cities in China from 2000 to 2020, we employ a spatial difference-in-differences estimation model to examine the impact of NSC on KI. The research finds that: (1) The construction of NSC stimulates KI in local and surrounding areas. (2) The main mechanisms by which NSC promotes KI include the increase in fiscal investment and talents in science, the improvement of digital infrastructure, as well as the enhancement of urban network centrality and innovation efficiency. (3) Geographical proximity, cooperation proximity, and digitization proximity constitute the main channels of policy spillover. (4) NSC has not shown significant promotion of regional innovation convergence, and its radiation influence needs further improvement. (5) The knowledge innovation effects of NSCs manifest heterogeneity based on the distinct knowledge orientation and innovation environment, with this impact being notably pronounced in application innovation-oriented cities such as Shenzhen. The results of this study reveal the positive yet limited impact of NSC on KI and provide a reference for other economies in the areas of LSRIs, digital infrastructure, and the formulation of place-based innovation policy.
Numerical investigation into the blending characteristics of opposed wall jets in a finite field with different stagger distances
Authors: Yuan Hao , Li Xiaofei , Liang Haoran , Xie Chunhang , Hu Ruichang 
Published: February 2024

Strong turbulence is generated by the blending of opposed staggered jets (OSJs). This turbulence results in fluid mixing and energy dissipation, which are crucial for pollutant dilution and the filling of navigation lock chambers. A renormalization group k-ε turbulence model is adopted to conduct three-dimensional simulations of OSJs at various stagger distances. The blending characteristics of two square water jets at eight stagger distances L* within a finite field are examined; here, L* is defined as the distance between the center lines of the staggered jets divided by the jet diameter. The initial Reynolds number and inlet diameter of the jets for the numerical simulations are set to 2.99 × 106 and 0.6 m, respectively. The numerical results show that there is a linear correlation between the decay exponent and the jet half-width, both of which increase and then gradually stabilize with increasing L*. Intriguingly, the vortex strength and blending length both increase at first before decreasing as L* increases, and the blending effectiveness distribution mirrors these fluctuations. Moreover, a decay model for the axial velocity is formulated in terms of the decay exponent and L*. These investigations yield substantial theoretical results underpinning fluid mixing and orifice arrangement in navigation lock chambers.
The post-modal grammaticalisation of concessive may and might
Authors: Leclercq Benoît 
Published: February 2024

Abstract
The decline of certain core modals in English, including may and might, is a
well-documented phenomenon (cf. Daugs 2017). It is less clear, however, whether this
tendency will lead to the loss of these modals or whether other changes are also underway. I aim to address this issue by looking
at the use of may and might in concessive clauses. I will first present the results of a corpus
study (COHA) aimed at understanding the diachronic development of concessive may and might. The
analysis reveals a significant increase of may and might in concessive contexts since the 1960s,
especially in factual concessives with but. This new finding is important as it shows that, though decreasing in
frequency, the two modals are developing new patterns of use. This raises the question whether the status of may
and might as modal verbs is also changing. I argue that the two verbs are going through a process of post-modal
(secondary) grammaticalisation and constructionalisation, and that the concessive meaning is linked to the more complex
‘subj {may/might} VP, but-clause’ construction. I also
claim that, within the paradigm of concessive constructions, those with may and might are best
viewed as hedged concessives that serve politeness purposes.
Dynamical analysis of coupled curvature-matter scenario in viable f(R) dark energy models at de Sitter phase
Authors: Chatterjee Anirban 
Published: February 2024

Abstract
We explore the interaction between dark matter and curvature-driven dark energy within viable f(R) gravity models, employing the phase-space analysis approach of linear stability theory. By incorporating an interacting term, denoted as

Q

=
α
H

ρ
~

m

(

κ
2

3

H
2

ρ
curv

+
1
)

, into the continuity equations of both sectors, we examine dynamics of two f(R) gravity models that adhere to local gravity constraints and fulfill cosmological viability criteria. In de Sitter phase, our investigation reveals modifications of critical points compared to the conventional form, attributed to the introduced interaction. Through a comprehensive phase-space analysis, we illustrate the trajectories near critical points and outline the constraints on the phase space based on cosmological and cosmographic parameters. Furthermore, we can also observe stable behavior of this interacting system during the de Sitter phase of the Universe.
Revisiting the bound states of a confined delta potential
Authors: Ramos Luiz G M , de Castro Antonio S 
Published: February 2024

Abstract
The stationary states of a particle under the influence of a delta potential confined by impenetrable walls are investigated using the method of expansion in orthogonal functions. The eigenfunctions of the time-independent Schrödinger equation are expressed in closed form by using a pair of closed-form expressions for series available in the literature. The analysis encompasses both attractive and repulsive potentials with arbitrary couplings. Confinement significantly impacts the quantum states and introduces a scenario of double degeneracy including the ground state. Analysis extends to discuss the transition to unconfinement. This research holds particular significance for educators and students engaged in mathematical methods applied to physics and quantum mechanics within undergraduate courses, offering valuable insights into the complex relationships among profiles of potentials, boundary conditions, and the resulting quantum phenomena.
Shape and orientation classification of objects based on their electromagnetic signatures using convolutional neural networks
Authors: Zaky Yasmina , Fortino Nicolas , Miramond Benoit , Dauvignac Jean-Yves 
Published: February 2024

Abstract
This study addresses the classification of objects using their electromagnetic signatures with convolutional neural networks (CNNs) trained on noiseless data. The singularity expansion method (SEM) was applied to establish a compact model that accurately represents the ultra-wideband scattered field (SF) of an object, independently of its orientation and observation angle. To perform the classification, we used a CNN associated with a noise-robust SEM technique to classify different objects based on their characteristic parameters. To validate this approach, we compared the performance of the classifier with and without SEM pre-processing of the SF for different noise levels and for object sizes not present in the training set. Moreover, we propose a procedure that determines the direction of the receiving antenna and orientation of an object based on the residues associated with each complex natural resonance. This classification procedure using pre-processed SEM data is promising and easy to train, especially when generalizing to object sizes not included in the training set.
Evaluation of risks of cardiovascular disease from radiation exposure linked to computed tomography scans in the UK
Authors: Martin Colin J , Barnard Michael , de Vocht Frank 
Published: February 2024

AbstractEpidemiological studies of patient populations have shown that high doses of radiation increase risks of cardiovascular disease (CVD). Results from a recent meta-analysis of 93 epidemiological studies covering a wide range of doses provided evidence of a causal association between radiation exposure and CVD, and indicated excess relative risk per Gy for maximum dose below 500 mGy or delivered at low dose rates. These doses cover the range of organ doses expected from multiple diagnostic computed tomography (CT) scans. Dose-effect factors for the excess absolute risk of mortality from CVD following radiation exposure were derived from the meta-analysis. The present study uses these factors to estimate excess risks of mortality for various types of CVD, including cerebrovascular disease (CeVD), from CT scans of the body and head, assuming that the meta-analytic factors were accurate and represented a causal relationship. Estimates are based on cumulative doses to the heart and brain from CT scans performed on 105 574 patients on 12 CT scanners over a period of 5½ years. The results suggest that the excess number of deaths from CeVD could be 7 or 26 per 100 000 patients depending whether threshold brain doses of 200 mGy or 50 mGy, respectively are assumed. These results could have implications for head CT scans. However, the results rely on the validity of risk factors derived in the meta-analysis informing this assessment and which include significant uncertainties. Further incidence studies should provide better information on risk factors and dose thresholds, particularly for CeVD following head CT scans.
Research on high-precision tracking and localization of industrial robots based on iGPS
Authors: Han Rui , Dunker Thomas , Trostmann Erik , Xu Zhigang 
Published: February 2024

Abstract
High-precision tracking and localization of the end of industrial robots is one of the most important technologies to realize high efficiency, high precision, and high safety of robots. Indoor global positioning system (iGPS), as a widely used indoor measurement system, has many advantages that cannot be replaced by other measurement devices, such as high scalability, simultaneous measurement of multiple targets, etc. However, due to the unique measurement principle of iGPS, it does not have good dynamic measurement performance. In order to enhance the dynamic measurement performance of iGPS and maximize its advantages, this paper proposes a correction algorithm that can effectively improve the dynamic measurement accuracy of iGPS based on the ideas of ‘transforming motion into static’ and ‘equivalent substitution’ after in-depth research on the measurement principle of iGPS. To verify the correctness of the mathematical principle of the algorithm and the value of engineering application, this paper has carried out a MATLAB simulation test and real measurement test. The experimental results show that the proposed correction algorithm can effectively improve the dynamic measurement accuracy of iGPS, and the correction algorithm can reduce the global error of the measurement results to within 0.1 mm in any robot trajectory and reasonable speed range, which is in line with the general requirements of industrial measurement.