bluuebunny/crossref_metadata_2025_split huggingface dataset:
Increased Rates of Hypertensive Disorders of Pregnancy during the COVID-19 Pandemic
Authors: Sinnott Colleen M. , Freret Taylor S. , Clapp Mark A. , Little Sarah E. 
Published: March 2024

Objective Hypertensive disorders of pregnancy (HDP) are common complications associated with severe maternal and neonatal morbidity. One goal of prenatal care, especially at term, is to screen for HDP. As treatment of HDP centers on delivery when appropriate, timely diagnosis is crucial. We postulated that reduced in-person visits during the coronavirus disease 2019 (COVID-19) pandemic may have resulted in delayed diagnosis of HDP with concomitant higher rates of maternal morbidity. We sought to investigate the prevalence of HDP during the COVID-19 pandemic, as well as median gestational age at time of delivery as compared with the prepandemic median.
Study Design This was a retrospective cohort analysis comparing singleton deliveries at four large-volume hospitals during the COVID-19 pandemic (April–July 2020 during a statewide “stay-at-home” order) to those in a pre-COVID era (April–July 2019). Deliveries complicated by HDP were identified by International Classification of Disease, Tenth Revision codes. Rates of HDP and markers of severe disease were the primary outcomes compared between the groups; multivariate regression was used to calculate the odds ratio of severe disease among women with any diagnosis of HDP.
Results The cohort included 9,974 deliveries: 5,011 in 2020 and 4,963 in 2019. Patient characteristics (age, body mass index, race, ethnicity, and insurance type) did not differ significantly between the groups. There was an increase in HDP during the COVID era (9.0 vs. 6.9%; p < 0.01), which was significant even when controlling for patient parity (odds ratio = 1.41, 95% confidence interval: 1.20–1.66). Among women with HDP, gestational age at delivery did not differ between the cohorts, nor did the proportion of patients with severe disease.
Conclusion We found a statistically significant increase in the rate of HDP during the COVID-19 pandemic. However, there was no change in the proportion of severe disease, suggesting that this increase did not significantly impact clinical morbidity.
Key Points
A Rare but Fatal Behçet Variant: The Hughes–Stovin Syndrome—Successful Case Report and New Evidence from Literature Review
Authors: Ascoli Marchetti Andrea , Belvivere Lorella , Argirò Renato , Kroegler Barbara , Oddi Fabio M. , Pennetta Federico , Giorgi Alice de , Fazzini Stefano , Morosetti Daniele , Triggianese Paola , Greco Elisabetta , D'Antonio Arianna , Coccia Ilaria , Tesauro Manfredi , Sangiuolo Federica , Ippoliti Arnaldo 
Published: March 2024

AbstractHughes–Stovin syndrome (HSS) is a rare potentially fatal vasculitis supposedly belonging to the spectrum of Behçet disease without ocular involvement. HSS tends to play by a temporal pattern, starting with thrombosis and followed by formation of pulmonary aneurysms. Since its mortality can reach 25% of cases, early recognition and appropriate therapy represent the major clinical challenges. We describe a rare case of HSS successfully treated via multidisciplinary management by an endovascular approach and immunosuppressive therapy.
Community-Acquired Infection among the Hospitalized Renal Stone Patients
Authors: Mahmood Alan Ahmed , Qadir Baram Mustafa , Muhammad Jabbar Abdul , Abdulla Hardi Tofiq , Thomas Noel Vinay , Diyya A. Salomy Monica 
Published: March 2024

Abstract
Background One of the most prevalent long-term kidney disorders in high-blood-pressure patients is nephrolithiasis. This study involves collecting urine and renal stones from patients with urinary tract infection (UTI) to analyze how hospitalized patients with UTI contract community infections. The samples were collected at the Sulaimaniyah Surgical Teaching Hospital urology and extracorporeal shock wave lithotripsy (ESWL) staff. It is understood that UTIs contribute to the formation of kidney stones.
Methods Screened and cultured urine requires careful collection, transport, and interpretation. Urine samples were collected from the patients with UTI at the Sulaimaniyah teaching hospital for culturing. Urine cultures containing pyuria and bacteria indicate UTIs. Microorganisms were studied, inoculated on blood, MacConkey, and mannitol salt agar, and biochemically identified. A bacterial and microbiological examination of kidney stones was conducted at the Sulaymaniyah Surgical Teaching Hospital's ESWL and urology departments. Clean renal stone samples with ethanol for 1 minute, crush using sterile tongs, then culture in 37°C thioglycolate broth for 48 hours. Specimens inoculated on blood, MacConkey, and mannitol salt agars resulted in isolation of staphylococci, streptococci, and Staphylococcus spp.
Results In this study, 17 of 48 samples showed microbial growth. Each of Enterococcus and Micrococcus spp. comprised 12.5% of eight renal intact stone samples. Three of 14 renal intact stone samples showed microbial growth with 7 and 14% for Enterococcus and Escherichia coli, respectively. From eight urine samples before and after ESWL procedure, E. coli isolation incidents doubled from 12.5 to 25%, while Staphylococcus spp. remained the same at 12.5%. Out of 10 UTI urine samples, 20% Staphylococcus spp., E. coli, and 10% Pseudomonas spp. were isolated.
Conclusion This study related renal stones to E. coli, enterococci, Micrococcus luteus, and staphylococci. After ESWL, the urine samples revealed E. coli growth, whereas comparable urine samples before ESWL did not. Thus, urinary infections can cause kidney stones. Eighteen of 48 kidney stone samples tested positive for E. coli, 22 for staphylococci, 11 for enterococci, 5 for Pseudomonas, 5 for Proteus, and 5 for micrococci.
Pulmonary Hypertension in Systemic Sclerosis
Authors: Cullivan Sarah , Cronin Eleanor , Gaine Sean 
Published: March 2024

AbstractSystemic sclerosis is a multisystem connective tissue disease that is associated with substantial morbidity and mortality. Visceral organ involvement is common in patients with systemic sclerosis and occurs independently of skin manifestations. Pulmonary hypertension (PH) is an important and prevalent complication of systemic sclerosis. The clinical classification of PH cohorts conditions with similar pathophysiological mechanisms into one of five groups. While patients with systemic sclerosis can manifest with a spectrum of pulmonary vascular disease, notable clinical groups include group 1 pulmonary arterial hypertension (PAH) associated with connective tissues disease, PAH with features of capillary/venous involvement, group 2 PH associated with left heart disease, and group 3 PH associated with interstitial lung disease. Considerable efforts have been made to advance screening methods for PH in systemic sclerosis including the DETECT and ASIG (Australian Scleroderma Interest Group) composite algorithms. Current guidelines recommend annual assessment of the risk of PAH as early recognition may result in attenuated hemodynamic impairment and improved survival. The treatment of PAH associated with systemic sclerosis requires a multidisciplinary team including a PH specialist and a rheumatologist to optimize immunomodulatory and PAH-specific therapies. Several potential biomarkers have been identified and there are several promising PAH therapies on the horizon such as the novel fusion protein sotatercept. This chapter provides an overview of PH in systemic sclerosis, with a specific focus on group 1 PAH.
Diversifying Away from Extractives: The Belt and Road Initiative, Chinese Capital and Industrialisation in the Kyrgyz Republic
Authors: Calabrese Linda 
Published: March 2024

AbstractWith its infrastructural offer and emphasis on connectivity, China’s Belt and Road Initiative (BRI) promises to support developing countries aiming to industrialise. The literature on industrialisation has identified a key role for infrastructure, markets and the state. This article looks at the case of Kyrgyzstan, one of the early members of the initiative, to understand the circumstances under which the BRI can facilitate manufacturing growth. Notwithstanding the presence of accessible markets and financial support for infrastructure, Kyrgyzstan has made limited headway in its industrialisation agenda. This can be attributed to the particular political economy of Kyrgyzstan, which predominantly relies on extracting rent from the mining and other sectors and consequently fails to allocate resources towards industrialisation. Though purportedly interested in revitalising the industrial sector, Kyrgyz politicians have primarily focused on extractive industries, hence impeding diversification and industrialisation efforts.
Managing and Incentivising Research Impact: Evidence from Australia
Authors: Newman Joshua 
Published: March 2024

AbstractViews on the impact of academic research are divided, with some voices advocating for more impact and others calling attention to pathologies of the “impact agenda”. One point of interest to most observers is the degree of alignment between academics, who do the research, and university leaders, who control rules and resources relating to research. Using a survey of academics and interviews with university leaders at a large, representative, research-focused university in Australia, this article contributes to the scholarship on research impact by investigating and analysing perceptions of what impact is and how it can be achieved. The study finds that in this case, there was significant disagreement between academics and university leaders on the meaning of impact and how it should be incentivised. These disagreements present a serious obstacle for universities advancing impact strategies and create vulnerabilities for conflict between university management and academic staff as envisioned by critics of the impact agenda.
A study on dynamic pressure sensor based on Pitot tube structure
Authors: Yu Hao , Wang Xiaofeng , Liu Yan , Bai Fan 
Published: March 2024

To meet the demand for the accurate measurements of the dynamic pressure of a shock wave, a composite dynamic pressure sensor design method is proposed based on the formation mechanism, propagation characteristics, special testing environment of the dynamic pressure, and Pitot tube structure. The dynamic pressure of the shock wave is evaluated by the total pressure and static pressure units installed in the composite sensor. FLUENT simulation software was used to analyze the aerodynamic characteristics of the dynamic pressure sensor, and parameters such as the structural size and inlet position of the sensor were determined. In response to the special experimental environment of the shock wave, the requirements for the dynamic pressure measurements under damage conditions were analyzed, and a dynamic pressure testing system was established. Dynamic pressure tests with four 2,4,6-trinitrotoluene [C7H5(NO2)3] equivalents of 1, 2, 15, and 20 kg were carried out. The experimental results show that the proposed sensor design method can accurately and effectively measure the dynamic pressure signal, and the dynamic pressure gain multiple decreases with an increase in the proportional distance. This provides an effective testing method for evaluating the dynamic pressure damage effect of ammunition systems.
Cosmology in Lorentzian Regge calculus: causality violations, massless scalar field and discrete dynamics
Authors: Jercher Alexander F , Steinhaus Sebastian 
Published: March 2024

Abstract
We develop a model of spatially flat, homogeneous and isotropic cosmology in Lorentzian Regge calculus, employing four-dimensional Lorentzian frusta as building blocks. By examining the causal structure of the discrete spacetimes obtained by gluing such four-frusta in spatial and temporal direction, we find causality violations if the sub-cells connecting spatial slices are spacelike. A Wick rotation to the Euclidean theory can be defined globally by a complexification of the variables and an analytic continuation of the action. Introducing a discrete free massless scalar field, we study its equations of motion and show that it evolves monotonically. Furthermore, in a continuum limit, we obtain the equations of a homogeneous scalar field on a spatially flat Friedmann background. Vacuum solutions to the causally regular Regge equations are static and flat and show a restoration of time reparametrisation invariance. In the presence of a scalar field, the height of a frustum is a dynamical variable that has a solution if causality violations are absent and if an inequality relating geometric and matter boundary data is satisfied. Edge lengths of cubes evolve monotonically, yielding a contracting or an expanding branch of the Universe. In a small deficit angle expansion, the system can be deparametrised via the scalar field and a continuum limit of the discrete theory can be defined which we show to yield the relational Friedmann equation. These properties are obstructed if higher orders of the deficit angle are taken into account. Our results suggest that the inclusion of timelike sub-cells is necessary for a causally regular classical evolution in this symmetry restricted setting. Ultimately, this works serves as a basis for forthcoming investigations on the cosmological path integral within the framework of effective spin foams.
Shape of radiation dose response relationship for ischaemic heart disease mortality and its interpretation: analysis of the national registry for radiation workers (NRRW) cohort
Authors: Zhang Wei , Haylock Richard GE , Gillies Michael , Hunter Nezahat 
Published: March 2024

Abstract
Statistically significant increases in ischemic heart disease (IHD) mortality with cumulative occupational external radiation dose were observed in the National Registry for Radiation Workers (NRRW) cohort. There were 174 541 subjects in the NRRW cohort. The start of follow up was 1955, and the end of the follow-up for each worker was chosen as the earliest date of death or emigration, their 85th birthday or 31 December 2011. The dose-response relationship showed a downward curvature at a higher dose level >0.4 Sv with the overall shape of the dose-response relationship best described by a linear-quadratic model. The smaller risk at dose >0.4 Sv appears to be primarily associated with workers who started employment at a younger age (<30 years old) and those who were employed for more than 30 years. We modelled the dose response by age-at-first exposure. For the age-at-first exposure of 30+ years old, a linear dose-response was the best fit. For age-at-first exposure <30 years old, there was no evidence of excess risk of IHD mortality for radiation doses below 0.1 Sv or above 0.4 Sv, excess risk was only observed for doses between 0.1–0.4 Sv. For this age-at-first exposure group, it was also found that the doses they received when they were less than 35 years old or greater than 50 years old did not contribute to any increased IHD risk.
Quadrotor attitude control by improved snake optimizer based adaptive switching disturbance rejection approach
Authors: Zhou Tao , Chen Zhisheng , Jiao Junjun 
Published: March 2024

Abstract
In this paper, an adaptive switching anti-disturbance attitude control scheme based on improved snake optimizer (SO) is proposed for quadrotor attitude control when a quadrotor unmanned aerial vehicle is affected by measurement noise. The adaptive switching disturbance rejection controller (AWDRC) is composed of linear active disturbance rejection control and adaptive switching extended state observer which is used to achieve accurate signals reconstruction performance under measurement noise. Then, the improved SO (ISO) algorithm is developed with quadratic interpolation and comprehensive learning strategies to obtain the optimal parameters of the quadrotor attitude controller. The performance validity of ISO is demonstrated here by experiments on the CEC-2017 and the CEC-2020 benchmark functions with several state-of-the-art meta-heuristic algorithms. Secondly, the proposed ISO-based AWDRC algorithm is used in quadrotor attitude tracking control and compared with three other excellent active disturbance rejection controllers in a comparative experiment, and the experimental results show the effectiveness of the proposal. Finally, the robustness of the proposed method to parameters perturbation of the quadrotor attitude system is analyzed by Monte Carlo experiments.
Calibration of visual measurement system for excavator manipulator pose
Authors: Liu Guangxu , Wang Qingfeng , Li Bingcheng , Xi Xiangshuo 
Published: March 2024

Abstract
The automatic control of excavator operation trajectories is a pivotal technology for autonomous excavators, with the essential prerequisite being the real-time measurement of manipulator poses. Given the complexity of the operating environment, traditional sensor-based measurement methods face limitations, whereas visual measurement emerges as a promising technique. Accurately measuring excavator manipulator poses involves a crucial aspect: mapping the relationship between image information and poses. First, to address the significant errors in pose prediction encountered with machine learning techniques like artificial neural networks, this work introduces a mathematical model for mapping this relationship, referred to as the pose mapping mathematical model, which includes calibrating model parameters. Second, to address the sensitivity of initial values in the calibration process, we propose a residual-guided initialization algorithm. This algorithm aims to ensure that initial values closely approximate the ground truth values, thus preventing matrix singularity at the source and avoiding parameter estimation divergence. Third, to tackle challenges such as unstable lighting conditions and discrepancies between the dataset and the mathematical model, we introduce the random sample consensus-driven Levenberg–Marquardt parameter optimization algorithm to enhance parameter estimation accuracy. Experiments with static and dynamic online measurement demonstrate that our method reduces pose measurement errors compared to existing methods. This research lays a solid foundation for developing visual measurement techniques for excavators and automated manipulator control based on visual measurements, also serving as a valuable reference for research on mechanical arms.
Comparison of semi-automatic and manual segmentation methods for tumor delineation on head and neck squamous cell carcinoma (HNSCC) positron emission tomography (PET) images
Authors: Philip Mahima Merin , Watts Jessica , Moeini Seyedeh Niki Mir , Musheb Mohammed , McKiddie Fergus , Welch Andy , Nath Mintu 
Published: March 2024

Abstract

Objective. Accurate and reproducible tumor delineation on positron emission tomography (PET) images is required to validate predictive and prognostic models based on PET radiomic features. Manual segmentation of tumors is time-consuming whereas semi-automatic methods are easily implementable and inexpensive. This study assessed the reliability of semi-automatic segmentation methods over manual segmentation for tumor delineation in head and neck squamous cell carcinoma (HNSCC) PET images. Approach. We employed manual and six semi-automatic segmentation methods (just enough interaction (JEI), watershed, grow from seeds (GfS), flood filling (FF), 30% SUVmax and 40%SUVmax threshold) using 3D slicer software to extract 128 radiomic features from FDG-PET images of 100 HNSCC patients independently by three operators. We assessed the distributional properties of all features and considered 92 log-transformed features for subsequent analysis. For each paired comparison of a feature, we fitted a separate linear mixed effect model using the method (two levels; manual versus one semi-automatic method) as a fixed effect and the subject and the operator as the random effects. We estimated different statistics—the intraclass correlation coefficient agreement (aICC), limits of agreement (LoA), total deviation index (TDI), coverage probability (CP) and coefficient of individual agreement (CIA)—to evaluate the agreement between the manual and semi-automatic methods. Main results. Accounting for all statistics across 92 features, the JEI method consistently demonstrated acceptable agreement with the manual method, with median values of aICC = 0.86, TDI = 0.94, CP = 0.66, and CIA = 0.91. Significance. This study demonstrated that JEI method is a reliable semi-automatic method for tumor delineation on HNSCC PET images.
Statistical analysis on branching characteristics of positive streamer discharges in N2–O2 mixtures
Authors: Guo Yihao , Nijdam Sander 
Published: March 2024

Abstract
Streamers are fast-propagating ionization channels that can usually branch and form complex tree-like structures in dielectric media. In this paper, we perform experiments on positive streamers in different N2–O2 mixtures under varying conditions including voltage, pressure, and electrode geometry, with at least 125 discharge images captured for each condition. We present a statistical analysis on streamer branching characteristics from 3D models that are reconstructed by stereoscopic stroboscopic images and our dedicated semi-automatic 3D reconstruction method.
We found that by varying the concentration of O2, the morphology and branching characteristics are greatly changed. Specifically, the average branching angle decrease significantly from 90∘ in air to 66∘ in 1% O2, suggesting that photoionization plays an important role in streamer branching. The branching angles in our work are generally larger than previously reported results due to the resolved 3D structures of discharges by our method. A linear relation between the streamer diameter ratio and the branching direction difference of two daughter branches is found, which intersects the vertical axis almost at unity. It is also found that the average branching angles, streamer velocities and diameters increase as the voltage increases. This is again attributed to stronger photoionization effect under higher voltages. The velocities and diameters are similar at different pressures but at the same reduced electric field. The average branching angle decreases from 90∘ at 133 mbar to 79∘ at 200 mbar. This suggests that stochastic fluctuations become dominant over photoionization effect at higher pressures.
A model for a Langmuir sheath in a stagnating dense plasma with secondary ion formation
Authors: Martin Christopher R , Untaroiu Alexandrina , Rahman S M Mahbobur 
Published: March 2024

Abstract
This simplified model provides solutions for the current-voltage characteristics of a sheath in a dense flowing plasma when surface chemistry contributes secondary ions. The problem is motivated by the recent discovery that strong transient signals in industrial ion current sensors are caused by chemical reactions with carbon in the steel being cut or welded by oxyfuel processes. The one-dimensional model considers a quasi-uniform dense plasma flowing towards and stagnating on an absorbing surface, above which there is a source of secondary ions. Because the secondary ions are formed directly in the plasma sheath, they have strong impacts on the current-voltage characteristic. With ionic Reynolds number, R, and integral length scale, α, secondary ion formation rate, Ω, and length scale, β, saturation currents are simply R + βΩ until β ≪ 1, at which point, new electrons cannot escape the sheath, and secondary ions have no effect. Floating potential, ϕ
∞, scales like

exp
(

ϕ

∞

)
∝

R

−
3

/

4

, and secondary ions have little impact unless β
2Ω > 1. Even then, floating potential is only weakly affected by secondary ion formation. The integral length scale, α, is not found to strongly affect the results.