bluuebunny/crossref_metadata_2025_split huggingface dataset:
Real‐time fusion of multiple videos and 3D real scenes based on optimal viewpoint selection
Authors: Wang Shunli , Hu Qingwu , Zhao Pengcheng , Yang Honggang , Wu Xuan , Ai Mingyao , Zhang Xujie 
Published: December 2022

Abstract3D real scenes are a digital virtual space that represents and portrays the real world in a photorealistic, three‐dimensional, and sequential manner. Existing methods for constructing and updating 3D models, such as oblique photography and laser scanning, are difficult to meet the demand of perceiving the real world intuitively, dynamically, and in real time. In recent years, the method of integrating rapidly rising video data and 3D models has become increasingly popular. Compared with existing methods, it enhances the real‐time perception of 3D scenes by taking advantage of the real‐time character of videos and the intuitive character of 3D models. In this article, we propose a real‐time fusion method of multiple videos and 3D real scenes based on optimal viewpoint selection. To begin, 3D reconstruction and video camera calibration were used to prepare the basic data for the fusion of videos and 3D model. Second, a visible‐surface detection‐based video space restoration method was provided, and the overlapping region between multiple videos was determined. Third, to split the overlapping region into the corresponding camera spaces, a segmentation method based on optimal viewpoint selection was given. Finally, the 2D videos were dynamically fitted to the 3D model using the dynamic texture mapping method, while accomplishing the fusing and rendering of the 3D real scene. After experimental verification, the overall effect of the multiple videos and 3D real scene fusion system implemented using the method proposed in this article is better, while the algorithm is less time‐consuming and efficient in rendering.
Neuroinvasive West Nile virus infection in solid organ transplant recipients
Authors: Kasule Sabirah N. , Gupta Simran , Patron Roberto L. , Grill Marie F. , Vikram Holenarasipur R. 
Published: December 2022

AbstractBackgroundLiterature on the natural course of neuroinvasive West Nile virus (WNV) infection in solid organ transplant (SOT) recipients is sparse. In the setting of a 2021 WNV outbreak in Arizona, we reviewed our institution's experience with neuroinvasive WNV infection in patients with SOT.MethodsWe retrospectively identified SOT recipients treated for neuroinvasive WNV at Mayo Clinic in Arizona from 2007 through 2021. Clinical manifestations, disease course, and outcomes were analyzed.ResultsAmong 24 SOT recipients with WNV infection identified during the study period, 13 infections occurred in 2021. Most patients had gastrointestinal tract symptoms and fever at disease presentation. Five patients had cognitive impairment, and 14 initially or eventually had acute flaccid paralysis. Clinically significant deterioration occurred at a median of 4 (range, 1–11) days after hospital admission. Seventeen patients (71%) were transferred to the intensive care unit, with 15 requiring mechanical ventilation. Initial cerebrospinal fluid analysis mainly demonstrated a neutrophil‐predominant pleocytosis. Almost all patients (n = 23) were treated with intravenous immunoglobulin alone or in combination with interferon alfa‐2b. Sixteen patients had clinical improvement, 4 of whom recovered completely. Six patients died during hospitalization due to complications of neuroinvasive WNV infection. Two patients were discharged to hospice without clinical recovery. The overall 30‐day mortality rate was 36%.ConclusionDespite advances in supportive care, neuroinvasive WNV infection is associated with substantial morbidity and mortality in SOT recipients. Flaccid paralysis is an indicator of poor prognosis.
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Reassessment Campaign on Veterinary Resuscitation (RECOVER) Initiative small animal CPR registry report 2016–2021
Authors: Hoehne Sabrina N. , Balakrishnan Anusha , Silverstein Deborah C. , Pigott Armi M. , Tart Kelly M. , Rozanski Elizabeth A. , Powell Lisa L. , Boller Manuel ,   Reassessment Campaign on Veterinary Resuscitation (RECOVER) CPR Registry Subcommittee
Published: December 2022

AbstractObjectiveTo introduce the Reassessment Campaign on Veterinary Resuscitation (RECOVER) CPR registry and report cardiopulmonary arrest (CPA) and CPR event data collected to date.DesignInternational, multi‐institutional veterinary CPR registry data report.SettingVeterinary private practice and university teaching hospitals.AnimalsData from 514 dogs and 195 cats undergoing CPR entered in the RECOVER CPR registry between February 2016 and November 2021.InterventionsThe RECOVER CPR registry is an online medical database created for standardized collection of hospital, animal, arrest, and outcome information on dogs and cats undergoing CPR. Data were collected according to the veterinary Utstein‐style guidelines for standardized reporting of in‐hospital CPR in dogs and cats. Case records were downloaded, duplicate and incomplete cases were removed, and summary descriptive data were reported.Measurements and Main ResultsSixteen hospitals in the United States, Europe, and Australia contributed data on 709 CPR events to the registry. One hundred and forty‐two (28%) dogs and 58 (30%) cats attained return of spontaneous circulation (ROSC), 62 (12%) dogs and 25 (13%) cats had ROSC >20 minutes, and 14 (3%) dogs and 4 (2%) cats survived to hospital discharge. The reason for CPR discontinuation was reported as owner choice in 321 cases (63%). The most common suspected causes for CPA were respiratory failure (n = 142, 20%), heart failure (n = 86, 12%), and hemorrhage (n = 76, 11%).ConclusionThe RECOVER CPR registry contains the first multicenter data set on small animal CPR. It confirms poor outcomes associated with CPA, emphasizing the need for large‐sized studies to gain adequate information on characteristics associated with favorable outcomes.
Successful multimodal treatment of extreme hypertriglyceridemia in a juvenile diabetic dog
Authors: Guarino Aria L. , Cagle Laura A. , Ehrhardt Caryn M. , Beatty Sarah S. K. , Stern Jere K. , Gilor Chen , Specht Andrew J. , Londoño Leo A. 
Published: December 2022

AbstractObjectiveTo describe the therapeutic protocol used to normalize severe hypertriglyceridemia in a dog.Case SummaryA 7‐month‐old, 1.2‐kg female Pomeranian presented with acute polyuria, polydipsia, and ocular discoloration. Diagnoses included diabetic ketosis, severe hypertriglyceridemia (>225 mmol/L [>20,000 mg/dl]), lipemia retinalis, and bilateral uveitis. The triglyceride concentration was near normal within 2 days of initiating treatment with fenofibrate, regular insulin constant rate infusion (CRI), manual therapeutic plasma exchange (TPE), and a low‐fat diet. All clinical signs resolved. The dog has had no relapse of hypertriglyceridemia at the time of writing the manuscript, 6 months later, with continued treatment of diabetes mellitus.New or Unique Information ProvidedThis is the first case report documenting the combination of fenofibrate, insulin CRI, and manual TPE for treatment of severe hyperlipidemia in a dog. Detailed protocols for manual TPE and a novel insulin CRI are provided. A discussion of multiple spurious biochemical and hematologic errors associated with the severe hypertriglyceridemia is also provided.
Evaluation of long‐term outcome after lung lobectomy for canine non‐neoplastic pulmonary consolidation via thoracoscopic or thoracoscopic‐assisted surgery in 12 dogs
Authors: Downey Amy C. , Mayhew Philipp D. , Massari Federico , Van Goethem Bart 
Published: December 2022

AbstractObjectiveTo report outcomes of thoracoscopic (TL) and thoracoscopic‐assisted lung lobectomy (TAL) for treatment of non‐neoplastic pulmonary consolidation (PC) in dogs.Study designRetrospective case series.AnimalsTwelve client‐owned dogs.MethodsThe medical records of 12 dogs that underwent TL or TAL for PC at 3 veterinary institutions between 2011 and 2020 were reviewed. Signalment, history, physical examination, diagnostics, days in hospital, anesthetic and procedure times, intraoperative/postoperative complications, conversion rates, duration of indwelling thoracic drain, and long‐term outcomes were recorded.ResultsNine patients underwent a TL approach and 3 underwent TAL. In those that underwent TL, conversion to an intercostal thoracotomy was performed in 4 out of 9 dogs. Conversion was performed due to adhesions (n = 3) or poor visualization (1). Histopathologic examination was consistent with pneumonia due to an infectious process (n = 10), bronchioalveolar malformation with abnormal cilia (1), and left‐sided cardiac insufficiency vs. pulmonary alveolar proteinosis (1). The mean duration of hospital stay was 4 days (range, 1‐6 days). Complications occurred postoperatively in 7 dogs and included self‐limiting hemorrhage (n = 3), self‐resolving pneumothorax (2), incisional dehiscence (1), and severe dyspnea in a brachycephalic breed leading to euthanasia (1). For the 11 dogs that survived the perioperative period, there was no evidence of recurrence with a median follow up of 24 months (range, 5‐120 months).ConclusionThoracoscopic (TL) and thoracoscopic‐assisted lung lobectomy (TAL) is a reasonable surgical approach in select dogs with PC.Clinicial RelevanceConversion rates were higher than those historically reported for dogs undergoing thoracoscopic lung lobectomy for primary lung tumors.
Impact of depression on the quality of sleep and immune functions in
patients with coronary artery disease
Authors: Cai Liqiang , Wei Lili , Yao Jiashu , Qin Yanhua , You Yafeng , Xu Luoyi , Tang Jinsong , Chen Wei 
Published: December 2022

Background
The risk of major depressive disorder (MDD) and insomnia is higher
in patients with coronary heart disease (CHD) than in the general
population. In addition, immune inflammation may be a shared
aetiological factor for mental disorders and CHD. However, it is unclear
whether MDD is associated with poor sleep quality and cell-mediated
immune function in patients with CHD.

Aims
This study investigated the impact of depression on sleep quality
and cell-mediated immune functions in patients with CHD and examined
discriminative factors in patients with CHD with and without
MDD.

Methods
This cross-sectional retrospective study was conducted at the
Zhejiang University School of Medicine affiliated with Sir Run Run Shaw
Hospital. The study population consisted of 84 patients with CHD
assigned to two groups based on their Hamilton Depression Rating Scale
(HAMD) score (CHD with MDD (HAMD score of ≥10) vs without MDD).
Subjective sleep quality, systemic inflammatory response and
cell-mediated immune functions were assessed in patients with CHD with
(n=50) and without (n=34) MDD using the Pittsburgh Sleep Quality Index
(PSQI), routine blood tests and flow cytometry. The relationships
between variables were ascertained using Pearson’s product–moment, and
linear discriminant analysis was used to explore the discriminative
factors between groups.

Results
Patients with CHD with MDD had significantly poorer sleep quality
than those without MDD (Z=−6.864, p<0.001). The Systemic Inflammation
Index (SII) and CD4 + /CD8 +
T-cell ratios were higher in patients with CHD with MDD than in those
without MDD (Z=−3.249, p=0.001). Patients with CHD with MDD had fewer
CD3 + CD8 + and CD3
+ T cells (Z=3.422, p=0.001) than those without
MDD (t=2.032, p=0.045). Furthermore, patients with CHD with MDD may be
differentiated from those without MDD using the PSQI, SII and T-cell
levels, as these variables correctly classified the depressed and
non-depressed groups with an accuracy of 96.4%.

Conclusions
MDD may be responsible for poor sleep quality, increased
cell-mediated immunity and SII in patients with CHD, which are
discriminative factors for CHD in the depressive state. Clinicians
should be aware of these interactions, as treatment for depressive
symptoms may also improve CHD prognosis.
A simple protocol for anisotropic generalization of Finch–Skea model by gravitational decoupling satisfying vanishing complexity factor condition
Authors: Maurya S. K. , Errehymy Abdelghani , Jasim M. K. , Hansraj Sudan , Al-Harbi Nuha , Abdel-Aty Abdel-Haleem 
Published: December 2022

AbstractA physically reasonable anisotropic stellar model is constructed with the help of the gravitational decoupling via complete geometric deformation (CGD) technique under the condition of vanishing complexity factor [Contreras and Stuchlik in Eur Phys J C 82:706 2022; Herrera, in Phys Rev D 97:044010, 2018]. The source splits into a perfect fluid and an anisotropic distribution. The Finch Skea metric proves a useful seed solution to solve the Einstein sector while the condition of vanishing complexity is invoked to solve the remaining anisotropic system of equations. A comprehensive battery of tests for physical significance is imposed on the model. Through a careful choice of parameter space, it is demonstrated that the model is regular, stable, and contains a surface of vanishing pressure establishing its boundary. Matching with the exterior metric is also achieved. Finally, the energy flows between the two sectors of the source fluid are studied graphically.
Effects of Dietary Vitamin C on the Growth Performance, Biochemical Parameters, and Antioxidant Activity of Coho Salmon Oncorhynchus kisutch (Walbaum, 1792) Postsmolts
Authors: Xu Cong-mei , Yu Hai-rui , Li Ling-yao , Li Min , Qiu Xiang-yi , Fan Xiao-qian , Fan Yan-lin , Shan Ling-ling 
Published: December 2022

Vitamin C (VC) plays an essential role in fish physiological function and normal growth. However, its effects and requirement of coho salmon Oncorhynchus kisutch (Walbaum, 1792) are still unknown. Based on the influences on growth, serum biochemical parameters, and antioxidative ability, an assessment of dietary VC requirement for coho salmon postsmolts (

183.19
±
1.91

g) was conducted with a ten-week feeding trial. Seven isonitrogenous (45.66% protein) and isolipidic (10.76% lipid) diets were formulated to include graded VC concentrations of 1.8, 10.9, 50.8, 100.5, 197.3, 293.8, and 586.7 mg/kg, respectively. Results showed that VC markedly improved the growth performance indexes and liver VC concentration, enhanced the hepatic and serum antioxidant activities, and increased the contents of serum alkaline phosphatase (AKP) activity, low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), and total cholesterol (TC) whereas decreased the serum aspartate aminotransferase (AST), alanine aminotransferase (ALT) activities, and triglyceride (TG) level. Polynomial analysis showed that the optimal VC levels in the diet of coho salmon postsmolts were 188.10, 190.68, 224.68, 132.83, 156.57, 170.12, 171.00, 185.50, 142.77, and 93.08 mg/kg on the basis of specific growth rate (SGR), feed conversion ratio (FCR), liver VC concentration, catalase (CAT), hepatic superoxide dismutase (SOD) activities, malondialdehyde (MDA) content, and serum total antioxidative capacity (T-AOC), AKP, AST, and ALT activities, respectively. The dietary VC requirement was in the range of 93.08–224.68 mg/kg for optimum growth performance, serum enzyme activities, and antioxidant capacity of coho salmon postsmolts.
Multi-substrate Metabolic Tracing Reveals Marked Heterogeneity and Dependency on Fatty Acid Metabolism in Human Prostate Cancer
Authors: Fidelito Gio , De Souza David P. , Niranjan Birunthi , De Nardo William , Keerthikumar Shivakumar , Brown Kristin , Taylor Renea A. , Watt Matthew J. 
Published: December 2022

AbstractCancer cells undergo metabolic reprogramming to meet increased bioenergetic demands. Studies in cells and mice have highlighted the importance of oxidative metabolism and lipogenesis in prostate cancer; however, the metabolic landscape of human prostate cancer remains unclear. To address this knowledge gap, we performed radiometric (14C) and stable (13C) isotope tracing assays in precision-cut slices of patient-derived xenografts (PDX). Glucose, glutamine, and fatty acid oxidation was variably upregulated in malignant PDXs compared with benign PDXs. De novo lipogenesis (DNL) and storage of free fatty acids into phospholipids and triacylglycerols were increased in malignant PDXs. There was no difference in substrate utilization between localized and metastatic PDXs and hierarchical clustering revealed marked metabolic heterogeneity across all PDXs. Mechanistically, glucose utilization was mediated by acetyl-CoA production rather than carboxylation of pyruvate, while glutamine entered the tricarboxylic acid cycle through transaminase reactions before being utilized via oxidative or reductive pathways. Blocking fatty acid uptake or fatty acid oxidation with pharmacologic inhibitors was sufficient to reduce cell viability in PDX-derived organoids, whereas blockade of DNL, or glucose or glutamine oxidation induced variable and limited therapeutic efficacy. These findings demonstrate that human prostate cancer, irrespective of disease stage, can effectively utilize all metabolic substrates, albeit with marked heterogeneity across tumors. We also confirm that fatty acid uptake and oxidation are targetable metabolic dependencies in human prostate cancer.Implications:Prostate cancer utilizes multiple substrates to fuel energy requirements, yet pharmacologic targeting of fatty acid uptake and oxidation reveals metabolic dependencies in localized and metastatic tumors.
Emulating the Adaptation of Wind Fields to Complex Terrain with Deep Learning
Authors: Le Toumelin Louis , Gouttevin Isabelle , Helbig Nora , Galiez Clovis , Roux Mathis , Karbou Fatima 
Published: December 2022

Abstract
Estimating the impact of wind-driven snow transport requires modeling wind fields with a lower grid spacing than the spacing on the order of 1 or a few kilometers used in the current numerical weather prediction (NWP) systems. In this context, we introduce a new strategy to downscale wind fields from NWP systems to decametric scales, using high-resolution (30 m) topographic information. Our method (named “DEVINE”) is leveraged on a convolutional neural network (CNN), trained to replicate the behavior of the complex atmospheric model ARPS, and was previously run on a large number (7279) of synthetic Gaussian topographies under controlled weather conditions. A 10-fold cross validation reveals that our CNN is able to accurately emulate the behavior of ARPS (mean absolute error for wind speed = 0.16 m s−1). We then apply DEVINE to real cases in the Alps, that is, downscaling wind fields forecast by the AROME NWP system using information from real alpine topographies. DEVINE proved able to reproduce main features of wind fields in complex terrain (acceleration on ridges, leeward deceleration, and deviations around obstacles). Furthermore, an evaluation on quality-checked observations acquired at 61 sites in the French Alps reveals improved behavior of the downscaled winds (AROME wind speed mean bias is reduced by 27% with DEVINE), especially at the most elevated and exposed stations. Wind direction is, however, only slightly modified. Hence, despite some current limitations inherited from the ARPS simulations setup, DEVINE appears to be an efficient downscaling tool whose minimalist architecture, low input data requirements (NWP wind fields and high-resolution topography), and competitive computing times may be attractive for operational applications.

Significance Statement
Wind largely influences the spatial distribution of snow in mountains, with direct consequences on hydrology and avalanche hazard. Most operational models predicting wind in complex terrain use a grid spacing on the order of several kilometers, too coarse to represent the real patterns of mountain winds. We introduce a novel method based on deep learning to increase this spatial resolution while maintaining acceptable computational costs. Our method mimics the behavior of a complex model that is able to represent part of the complexity of mountain winds by using topographic information only. We compared our results with observations collected in complex terrain and showed that our model improves the representation of winds, notably at the most elevated and exposed observation stations.
Using a Continental-Scale Data Quality Monitoring Framework to Evaluate a New Nonweather Filter for Radar Observations
Authors: Pérez Hortal Andrés A. , Michelson Daniel 
Published: December 2022

Abstract
Removing nonweather echoes is a critical component of the quality control (QC) chain used in the context of radar data assimilation for numerical weather prediction, quantitative precipitation estimation, and nowcasting applications. Recent studies show that using a simple QC method based on the depolarization ratio (DR) performs remarkably well in many situations. Nonetheless, this method may misclassify echoes in regions affected by nonuniform beamfilling or melting particles. This study presents an updated version of this QC used to remove nonweather echoes that uses the DR-based classification together with a set of physically based rules for correcting misclassifications of hail, nonuniform beamfilling, and melting particles. The potential of the new QC is evaluated using a continental-scale monitoring framework that compares the radar observations after QC with the precipitation occurrence derived from aviation routine weather reports (METARs). For this evaluation, the study uses the radar data and the METARs available over North America during the summer of 2019 and winter of 2020. In addition, the study demonstrates the usefulness of the monitoring framework to determine the optimal QC configuration. Some practical limitations of using the METAR-derived precipitation to assess radar data quality are also discussed.
Estimating the Relative Impact of Measurement, Parameter, and Flow Law Errors on Discharge from the Surface Water and Ocean Topography Mission
Authors: Frasson Renato Prata de Moraes , Turmon Michael J. , Durand Michael T. , David Cédric H. 
Published: December 2022

Abstract
The Surface Water and Ocean Topography (SWOT) mission will allow the estimation of discharge in rivers wider than 100 m, filling important gaps in the network of in situ measurements. This novel source of discharge observations has the potential to enable significant progress toward closing Earth’s water budget and creating new understanding of the water cycle. Quantifying the uncertainty in the SWOT estimates of discharge, mapping the error sources, and understanding their relative importance is essential to the fulfillment of this potential. Here, we break the SWOT discharge production process into its essential parts: 1) retrieval of river width and water surface heights and slopes, 2) estimation of unobservable parameters, and 3) computation of discharge with the selected flow law, and through a Monte Carlo simulation study, we assess the sensitivity of the overall discharge error to each of these parts. We analyze the discharge error characteristics in terms of bias, error standard deviation, and the correlation between true and retrieved discharges and map the contribution of the essential discharge production elements to each of the error metrics. Our study revealed that biases in parameters are the most important source of discharge biases, yet we found that a larger than expected fraction of the discharge biases can be attributed to observation errors. Surprisingly, we found that parameter biases are also the most important contributor to discharge error standard deviation and to the deterioration of the correlation between truth and retrieved discharges, which were previously thought of as being controlled by observation errors.