bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sodium Levels and Outcomes Following Endovascular Thrombectomy for Ischemic Stroke
Authors: Hong Jae Beom , Diprose William K. , Wang Michael T.M. , Barber Peter Alan 
Published: April 2022

Background
Hyponatremia has been associated with worse outcomes in patients with ischemic stroke. Previous studies measured sodium levels at variable times after stroke onset. Patients treated with endovascular thrombectomy have sodium levels measured close to stroke onset. Our aim was to evaluate the association between admission sodium levels and outcome following endovascular thrombectomy.

Methods
Consecutive patients undergoing endovascular thrombectomy with admission sodium levels were identified from a prospective registry. The primary outcome was functional independence, defined as a modified Rankin scale score of 0, 1, or 2 at 3 months. Secondary outcomes included early neurological recovery (reduction in National Institutes of Health Stroke Scale score ≥8 points from baseline or score of 0–1 at 24 hours), ordinal shift of modified Rankin scale scores at 3 months, symptomatic intracranial hemorrhage, 7‐day mortality, and 3‐month mortality.

Results

A total of 710 patients were included (42.5% women; mean±SD age, 66.4±14.9 years). The mean±SD admission sodium level was 139±3 mmol/L. Multivariable logistic regression analysis demonstrated that higher admission sodium level (per 1‐mmol/L increase) was an independent predictor of functional independence (odds ratio [OR], 1.06 [95% CI, 1.01–1.11];
P
=0.03), early neurological recovery (OR, 1.07 [95% CI, 1.01–1.13];
P
=0.02), and 3‐month modified Rankin scale scores (OR, 0.94 [95% CI, 0.89–0.99];
P
=0.02). The Youden optimal prognostic cutoff for functional independence was an admission sodium level of ≥136 mmol/L (
P
=0.04). There were no associations between sodium levels and symptomatic intracranial hemorrhage, 7‐day mortality, or 3‐month mortality.

Conclusions
Admission sodium levels are an independent predictor of functional outcomes following endovascular thrombectomy. Whether admission sodium levels would be of value in decision‐support tools for endovascular thrombectomy should be evaluated in future studies.
Complex Adaptation in Audio Feedback Networks for the Synthesis of Music and Sounds
Authors: Sanfilippo Dario 
Published: April 2022

AbstractThis article presents recent outcomes of the author's research on musical complex adaptive systems (CASs). The first part focuses on the concepts of adaptation and complexity within the framework of CASs and suggests a rigorous placing of the concepts within the musical domain. This analysis involves a distinction of the notions of context and information between the engineering field of information theory and the philosophical one of radical constructivism. I conclude this section by showing that, in this approach, information and context are mutually determining.Then, I introduce a technique related to the notion of evolvability in biology and genetic algorithms and that has significantly increased the complexity and long-term variety in music systems during autonomous evolutions. This technique distributes adaptation across higher levels and allows the system to reorganize the relationships among its agents and their structure circularly while interpreting and constructing its context.To conclude, an autonomous live performance piece from 2019–2020, “Constructing Realities (Homage to Heinz von Foerster),” which implements the theories mentioned above, is described, showing DSP processes and techniques that relate to evolvability, autopoiesis, fitness, and complexity through agent-based modeling. This article is accompanied by a companion article discussing the technical aspects of information processing algorithms, which are an essential part for the implementation of music CASs: “Time-Domain Adaptive Algorithms for Low- and High-Level Audio Information Processing.”
Time-Domain Adaptive Algorithms for Low- and High-Level Audio
Information Processing
Authors: Sanfilippo Dario 
Published: April 2022

Abstract
In this paper, we present a set of time-domain algorithms for the low- and high-level analysis of audio streams. These include spectral centroid, noisiness, and spectral spread for the low level, and dynamicity, heterogeneity, and complexity for the high level. The low-level algorithms provide a continuous measure of the features and can operate with short analysis frames. The high-level algorithms, on the other hand, are original designs informed both perceptually and by complexity theory for the analysis of musically meaningful information, both in short sounds or articulated streams with long-term nontrivial variations.
These algorithms are suitable for the implementation of real-time audio analysis in diverse live performance setups that require the extraction of information from several streams at the same time. For example, the low-level algorithms can be deployed in large audio networks of adaptive agents, or in small-to-large ensembles for the analysis of various characteristics of the instruments for computer-assisted performance. Furthermore, the high-level algorithms can be implemented as part of fitness functions in music systems based on evolutionary algorithms that follow musically-informed criteria, or as analysis tools to assess the quality of some of the characteristics of a musical output.
Musical applications of these algorithms can be found in a companion paper in this issue of Computer Music Journal: “Complex Adaptation in Audio Feedback Networks for the Synthesis of Music and Sounds.”
Future Thermodynamic Impacts of Global Warming on Landfalling Typhoons and Their Induced Storm Surges to the Pearl River Delta Region as Inferred from High-Resolution Regional Models
Authors: Chen Jilong , Tam Chi Yung , Wang Ziqian , Cheung Kevin , Li Ying , Lau Ngar-Cheung , Lau Dick-Shum Dickson 
Published: April 2022

Abstract
Possible thermodynamic effects of global warming on the landfalling typhoons that affect South China and their associated storm surges over Pearl River Delta region are investigated, using the Weather Research and Forecasting (WRF) Model and the Sea, Lake, and Overland Surges from Hurricanes (SLOSH) model based on the pseudo–global warming (PGW) technique. Twenty intense historical TCs that brought extreme storm surges to Hong Kong since the 1960s are selected and replicated by the 3-km WRF Model, with the outputs to drive the SLOSH model in storm surge simulation. The tracks, intensities, storm structure, and induced storm surges are well simulated. The PGW technique is then used to build a warmer background climate for the 20 selected TCs in the period of 2075–99 under the RCP8.5 scenario. To obtain a better adjusted warming environment, a pre-PGW adjustment method is developed. Comparing the same TCs in PGW experiments and historical runs, the TC lifetime peak (landfall) intensity can be intensified by about 9% ± 8% (12% ± 13%), with a ∼3% increase of TC peak intensity per degree of SST warming being inferred. The TCs are projected to be more compact, with the radius of maximum wind (RMW) reduced by ∼7% ± 10%. TC precipitation is also expected to increase, with the extreme precipitation within the eyewall strengthened by 22% ± 12%. All the above characters have passed the Student’s t test at 0.05 significance level. Finally, the projected induced storm surges near the Hong Kong waters are not significantly tested, although a weak storm surge height increase tendency is revealed.
Changes in Interannual Tropical Atlantic–Pacific Basin Interactions Modulated by a South Atlantic Cooling
Authors: Losada Teresa , Rodríguez-Fonseca Belén , Mechoso C. Roberto , Mohino Elsa , Castaño-Tierno Antonio 
Published: April 2022

Abstract
Although tropical interbasin interactions at interannual time scales are presently receiving much attention, their controlling factors and variations on longer time scales are under debate. Tropical convection plays a crucial role in the occurrence and nonstationarity of them. In this paper, we investigate the dependence of interannual tropical Atlantic–Pacific basin interactions on convection-related features of the tropical oceans’ climatology, especially the ITCZ position. We contrast a CGCM control simulation with an experiment in which tropical convection is modified by an artificial perturbation outside the tropics that reduces the incident shortwave radiation in a region of the South Atlantic. Based on previous work, this modification is expected to shift in latitude the climatological position of the simulated ITCZ. The experiment shows altered Walker circulations, stronger interannual variability over the tropical oceans, a westward extension of the Atlantic Niño pattern and of convection, and shallower thermocline in the Pacific, making the basin more sensitive to both local and remote perturbations. As a consequence, the experiment shows enhanced interannual Atlantic–Pacific basin interactions at the equator, and weaker teleconnections between the north tropical Atlantic and the equatorial Pacific. The latter seems to occur because the impact of the warm Atlantic SST anomalies is offset by the presence of warm SST anomalies in El Niño region. Despite the uncertainties raised because the simulations are relatively short, we conclude that this work presents a potential explanation for the long-term changes in the tropical basin interactions and offers a novel and useful methodology for their analysis.
Observational Constraints on Southern Ocean Cloud-Phase Feedback
Authors: Wall Casey J. , Storelvmo Trude , Norris Joel R. , Tan Ivy 
Published: April 2022

Abstract
Shortwave radiative feedbacks from Southern Ocean clouds are a major source of uncertainty in climate projections. Much of this uncertainty arises from changes in cloud scattering properties and lifetimes that are caused by changes in cloud thermodynamic phase. Here we use satellite observations to infer the scattering component of the cloud-phase feedback mechanism and determine its relative importance by comparing it with an estimate of the overall temperature-driven cloud feedback. The overall feedback is dominated by an optical thinning of low-level clouds. In contrast, the scattering component of cloud-phase feedback is an order of magnitude smaller and is primarily confined to free-tropospheric clouds. The small magnitude of this feedback component is a consequence of counteracting changes in albedo from cloud optical thickening and enhanced forward scattering by cloud particles. These results indicate that shortwave cloud feedback is likely positive over the Southern Ocean and that changes in cloud scattering properties arising from phase changes make a small contribution to the overall feedback. The feedback constraints shift the projected 66% confidence range for the global equilibrium temperature response to doubling atmospheric CO2 by about +0.1 K relative to a recent consensus estimate of cloud feedback.

Significance Statement
Understanding how clouds respond to global warming is a key challenge of climate science. One particularly uncertain aspect of the cloud response involves a conversion of ice particles to liquid droplets in extratropical clouds. Here we use satellite data to infer how cloud-phase conversions affect climate by changing cloud albedo. We find that ice-to-liquid conversions increase cloud optical thickness and shift the scattering angles of cloud particles toward the forward direction. These changes in optical properties have offsetting effects on cloud albedo. This finding provides new insight about how changes in cloud phase affect climate change.
Estimation of Horizontal Turbulent Diffusivity from Deep Argo Float Displacements
Authors: Sévellec F. , Verdière A. Colin de , Kolodziejczyk N. 
Published: April 2022

Abstract
We use an analog method, based on displacements of Argo floats at their parking depth (nominally located around 1000 dbar) from the ANDRO dataset, to compute continuous, likely trajectories and estimate the Lagrangian dispersion. From this, we find that the horizontal diffusivity coefficient has a median value around 500 m2 s−1 but is highly variable in space, reaching values from 100 m2 s−1 in the gyre interior to 40 000 m2 s−1 in a few specific locations (in the Zapiola Gyre and in the Agulhas Current retroflection). Our analysis suggests that the closure for diffusivity is proportional to eddy kinetic energy (or square of turbulent velocity) rather than (absolute) turbulent velocity. It is associated with a typical turbulent time scale of 4–5.5 days, which is noticeably quite constant over the entire globe, especially away from coherent intense currents. The diffusion is anisotropic in coherent intense currents and around the equator, with a primary direction of diffusion consistent with the primary direction of horizontal velocity variance. These observationally based horizontal diffusivity estimations, and the suggested eddy kinetic energy closure, can be used for constraining, testing, and validating eddy turbulence parameterization.
Hybrid Cloud Detection Algorithm Based on Intelligent Scene Recognition
Authors: Li Fang-Fang , Zuo Hui-Min , Jia Ying-Hui , Wang Qi , Qiu Jun 
Published: April 2022

Abstract
All-sky images derived from ground-based imaging equipment have become an important means of recognizing and quantifying cloud information. Accurate cloud detection is a prerequisite for obtaining important cloud information from an all-sky image. Existing cloud segmentation algorithms can achieve high accuracy. However, for different scenes, such as completely cloudy with obscured sun and partly cloudy with unobscured sun, the use of specific algorithms can further improve segmentation. In this study, a hybrid cloud detection algorithm based on intelligent scene recognition (HCD-ISR) is proposed. It uses suitable cloud segmentation algorithms for images in different scenes recognized by ISR, so as to utilize the various algorithms to their full potential. First, we developed an ISR method to automatically classify the all-sky images into three scenes. In scene A, the sky is completely clear; in scene B, the sky is partly cloudy with unobscured sun; and in scene C, the sun is completely obscured by clouds. The experimental results show that the ISR method can correctly identify 93% of the images. The most suitable cloud detection algorithm was selected for each scene based on the relevant features of the images in that scene. A fixed thresholding (FT) method was used for the images in scene C. For the most complicated scene, that is, scene B, the clear-sky background difference (CSBD) method was used to identify cloud pixels based on a clear-sky library (CSL). The images in the CSL were automatically filtered by ISR. Compared to FT, adaptive thresholding (AT), and CSBD methods, the proposed HCD-ISR method has the highest accuracy (95.62%). The quantitative evaluation and visualization results show that the proposed HCD-ISR algorithm makes full use of the advantages of different cloud detection methods, and is more flexible and robust.
A hybrid analog-ensemble, convolutional-neural-network method for post-processing precipitation forecasts
Authors: Sha Yingkai , Gagne II David John , West Gregory , Stull Roland 
Published: April 2022

Abstract
An ensemble precipitation forecast post-processing method is proposed by hybridizing the Analog Ensemble (AnEn), Minimum Divergence Schaake Shuffle (MDSS), and Convolutional Neural Network (CNN) methods. This AnEn-CNN hybrid takes the ensemble mean of Global Ensemble Forecast System (GEFS) 3-hourly precipitation forecasts as input and produces bias-corrected, probabilistically calibrated, and physically realistic gridded precipitation forecast sequences out to 7-days. The AnEn-CNN hybrid post-processing is trained on the European Centre for Medium-Range Weather Forecasts Reanalysis version 5 (ERA5), and verified against station observations across British Columbia (BC), Canada, from 2017 to 2019. The AnEn-CNN hybrid produces more skillful forecasts than a quantile-mapped GEFS baseline and other conventional AnEn methods, with a roughly 10% increase in Continuous Ranked Probability Skill Score. Further, it outperforms other AnEn methods by 0-60% in terms of Brier Skill Score (BSS) for heavy precipitation periods across disparate hydrological regions. Longer forecast lead times exhibit larger performance gains. Verification against 7-day accumulated precipitation totals for heavy precipitation periods also demonstrates that precipitation sequences are realistically reconstructed. Case studies further show that the AnEn-CNN hybrid scheme produces more realistic spatial precipitation patterns and precipitation intensity spectra. This work pioneers the combination of conventional statistical post-processing and neural networks, and is one of only a few studies pertaining to precipitation ensemble post-processing in BC.
Between a Rock and a Hard Place: Anticoagulating an Adolescent with Post-Tonsillectomy Massive PE: A Case Report
Authors: Shimomura Aoi , Smith Sullivan , Darki Amir , Kamberos Natalie , Charous Steven 
Published: April 2022

Objectives: To report a case of a morbidly obese 17-year-old boy who presented 4 days post-tonsillectomy with acute deep venous thromboses and a massive pulmonary embolism. To describe a protocol and decision-making tree for providing anticoagulation in the immediate post-tonsillectomy period. Methods: A chart review and review of the literature. Results: The patient ultimately did well and had no bleeding from the tonsil beds or further thromboembolic complications. A review of the literature revealed no available data regarding the safety of anticoagulation in the immediate post-tonsillectomy period. Conclusions: We propose that if anticoagulation is needed within 14 days of tonsillectomy, submaximal anticoagulation with a reversible and titratable anticoagulant may be optimal. A multidisciplinary team approach is needed for these complex cases. Future reporting and investigation of anticoagulation post-tonsillectomy is needed.
Protective effects of apigenin on methylmercury-induced behavioral/neurochemical abnormalities and neurotoxicity in rats
Authors: Yadav Rajeshwar Kumar , Mehan Sidharth , Sahu Rakesh , Kumar Sumit , Khan Andleeb , Makeen Hafiz Antar , Al Bratty Mohammed 
Published: April 2022

Methylmercury (MeHg) is a neurotoxin that induces neurotoxicity and cell death in neurons. MeHg increases oligodendrocyte death, glial cell activation, and motor neuron demyelination in the motor cortex and spinal cord. As a result, MeHg plays an important role in developing neurocomplications similar to amyotrophic lateral sclerosis (ALS). Recent research has implicated c-JNK and p38MAPK overactivation in the pathogenesis of ALS. Apigenin (APG) is a flavonoid having anti-inflammatory, antioxidant, and c-JNK/p38MAPK inhibitory activities. The purpose of this study is to determine whether APG possesses neuroprotective effects in MeHg-induced neurotoxicity in adult rats associated with ALS-like neuropathological alterations. In the current study, the neurotoxin MeHg causes an ALS-like phenotype in Wistar rats after 21 days of oral administration at a dose of 5 mg/kg. Prolonged administration of APG (40 and 80 mg/kg) improved neurobehavioral parameters such as learning memory, cognition, motor coordination, and grip strength. This is mainly associated with the downregulation of c-JNK and p38MAPK signaling as well as the restoration of myelin basic protein within the brain. Furthermore, APG inhibited neuronal apoptotic markers (Bax, Bcl-2, and caspase-3), restored neurotransmitter imbalance, decreased inflammatory markers (TNF- and IL-1), and alleviated oxidative damage. As a result, the current study shows that APG has neuroprotective potential as a c-JNK and p38MAPK signaling inhibitor against MeHg-induced neurotoxicity in adult rats. Based on these promising findings, we suggested that APG could be a potential new therapeutic approach over other conventional therapeutic approaches for MeHg-induced neurotoxicity in neurobehavioral, molecular, and neurochemical abnormalities.
COVID-19 disruption to cervical cancer screening in England
Authors: Castanon Alejandra , Rebolj Matejka , Pesola Francesca , Pearmain Philippa , Stubbs Ruth 
Published: April 2022

Introduction In England, routine invitations for cervical screening were reduced between April 2020 and June 2020 due to the COVID-19 pandemic. We quantify the impact of COVID-19 disruptions on attendance and excess diagnoses of cervical cancer (CC). Methods Using Public Health England CC screening data on laboratory samples received in 2018 as a baseline we quantify the reduction in screening attendances due to the COVID-19 pandemic between April 2020 and March 2021 for women aged 25–64. We model the impact on excess CC diagnoses assuming once invitations resume 87.5% of women attend within 12 months and 12.5% delay screening for 3 or 5 years (depending on age). Results The number of samples received at laboratories was 91% lower than expected during April, 85% during May and 43% during June 2020 compared to the same period in 2018. Although on average laboratories received 12.6% more samples between August 2020 and April 2021 than over the same months in 2018, by April 2021 there was a short fall of 200,949 samples (6.4% fewer than in 2018). An excess of 41 CC (4.0 per 100,000 women with a maximum screening delay of 12 months) are predicted to occur among the estimated 1,024,794 women attending this screening round with a delay. An excess of 60 CC (41.0 per 100,000 women) are predicted to occur among the estimated 146,391 women who do not attend this screening round. Conclusion Prompt restoration of cervical screening services limited the impact on excess CC diagnoses. However, in 2020 a 6.4% shortfall of screening samples was observed. Every effort should be made to reassure these women that services are open and safe to attend.
Keratitis following descemet's stripping endothelial keratoplasty (DSEK): Clinical features and outcome in early vs late presentation
Authors: Soni Tanvi , Das Sujata , Alluri Himabindu , Priyadarshini Smruti Rekha , Sahu Srikant K , Mitra Sanchita 
Published: April 2022

Objective To compare the clinical presentation, risk factors, causative organisms, and final outcome of early- and late- onset microbial keratitis following Descemet's Stripping Endothelial Keratoplasty (DSEK). Materials And Methods In a retrospective, comparative, case series, twenty-three (10 early-onset keratitis, 13 late-onset keratitis) cases were included for analysis from a single centre tertiary eye care setup. Data about demography, indication, clinical features, and outcome were collected for both the groups. Comparison of clinical presentation, risk factors, microbiology and final outcome were carried out. Results The most common indication was failed graft. While all patients with late-onset keratitis presented with ulcerative keratitis, 60% of early-onset keratitis presented with ulcerative keratitis. Four patients in the early-onset group had interface keratitis. Associated endophthalmitis was more in the early-onset compared to the late-onset group. Early-onset interface keratitis cases are mostly associated with donor-related infection. Gram-positive bacteria were the most common organisms isolated from both early- and late- onset infection. Major surgical procedures in both early- and late- onset keratitis included lenticule removal ( n = 4) and therapeutic penetrating keratoplasty ( n = 5). Conclusions Failed graft is a major risk factor in post-DSEK keratitis. Interface keratitis and endophthalmitis are commonly observed in early-onset keratitis. A majority of the patients need surgical intervention.