bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sex disparities in clinicopathological features and outcomes of patients with myeloperoxidase-ANCA-associated vasculitis: A retrospective study of 366 cases in a single Chinese center
Authors: Meng Ting , Zhu Peng , Shen Chanjuan , Ooi Joshua D. , Eggenhuizen Peter , Zhou Ya-Ou , Luo Hui , Chen Jin-Biao , Lin Wei , Xiong Qi , Gong Yizi , Tang Rong , Ao Xiang , Peng Weisheng , Xiao Zhou , Xiao Ping , Xiao Xiangcheng , Zhong Yong 
Published: November 2022

Abstract
There are a few studies that reported sex disparities in clinical features, pathological features and outcomes among ANCA-associated vasculitis (AAV) patients, but studies focusing on sex-specific differences of myeloperoxidase (MPO)-AAV patients are scarce. Therefore, the purpose of this study was to analyze sex differences in clinicopathological features and outcomes of MPO-AAV. Patients diagnosed with MPO-AAV in Xiangya Hospital from January 2010 to June 2021 were included in the study and separated into female and male groups. The differences in clinical manifestations, laboratory parameters, pathological features and prognosis between the two groups were retrospectively analyzed. Three hundred and sixty-six patients were included and divided into female group (n = 176) and male group (n = 190). The age of the male group was 62.41 ± 10.49 years, significantly higher than that of the female group (58.69 ± 16.39, p = 0.011). Compared with the female group, the male group had a shorter duration of disease, higher levels of hemoglobin, eosinophil count, proteinuria, serum C4, and lower levels of serum globulin, serum IgG and serum IgM (p < 0.05).No significant differences in kidney pathological features were observed between the two groups. During a median follow-up of 37.6 months, there was no significant difference in renal survival and patient survival between the two groups, but male patients had a worse composite outcome of renal and patient survival compared with the female patients (p = 0.044). This study found that male patients with MPO-AAV had a higher age of onset, shorter duration of disease, higher levels of hemoglobin, eosinophil count, proteinuria, serum C4, and lower levels of serum globulin, serum IgG and serum IgM. Male patients fared worse than female patients in terms of the composite outcome of renal and patient survival.
Detection of surface modification of polyimide containing steroidal structure as a function of storage time using second- order nonlinear optical spectroscopy
Authors: Nguyen Trinh Thi , Du Wentao , Khuat Hien Thi Thu , Mizutani Goro , Murakami Yoshitaka , Okada Takashi 
Published: November 2022

Abstract
The modification of a polyimide surface containing a 30% fraction of steroidal structure was studied as a function of storage time by vibrational sum frequency generation (SFG) spectroscopy and optical second-harmonic generation (SHG). The variation of the symmetric and anti-symmetric stretching modes of the CH3 isopropyl group at the end of the side chain of the rubbed polyimide was detected in the SFG spectra after 3 months storage time in a practical environment. It suggests that the isopropyl group might be reoriented. On the other hand, the SHG response of the same sample showed an insignificant storage-time dependence. As a result, the phenyl rings of the polyimide are judged to be unmodified after long-term storage time. The change is suggested to occur for two main reasons. One is the interaction between the polyimide polymers and the ambient water molecules. The other is the adsorption of unknown organic molecules on the polyimide surface.
High mechanical properties performances of woven as a satin cloth type of long Alfa, Sisal and hybrid Alfa/Sisal fibers reinforced Epoxy
Authors: Baali Besma R. , Nour Abdelkader , Gherbi Mohamed T. , Saci Rachid , Aguib Salah , Attia Nourhane 
Published: November 2022

Abstract
This study treats the mechanical behavior of composites, made of an epoxy resin matrix reinforced at 30% and 40% with a satin cloth type of long Alfa fibers, Sisal and hybrid Alfa/Sisal. The fibers are obtained by extraction with elimination of binders such as pectins and lignin. For each type of fibers, an appropriate and optimal chemical and thermal treatments duration are conducted within NaOH solution. FTIR, SEM and chemical decomposition of treated and untreated fibers leads to prove the efficiency of the treatment. Differential scanning calorimetry made it possible to quantify the enthalpy changes of materials as a function of temperature and TGA, DTG also showed better thermal stability. DSC showed an increase in the amount of heat as a function of the increase in volume fraction of fibers. The endothermic reaction of the studied composites containing 30wt% fiber reinforcement is lower than that containing 40wt% fiber reinforcement. The composite materials are performed by VARTM due to hydrophilic fibers nature. The results of static tensile, the 3-point bending and compression tests of different specimens were compared to those of the pure epoxy resin. It showed a significant increase in Young's modulus. Best results are shown for 40wt% woven Alfa fibers/Epoxy of about 333%, 113%, and 81% on tensile, 3-points bending and compression tests respectively. The SEM morphology analysis of both untreated and treated fiber surfaces show clean and clearly visible fibers after alkali treatment and its breaking mechanism revealed good interfacial adhesion between the treated fiber and the matrix.
Redox status of juvenile tilapia fed diets supplemented with poultry liver protein hydrolysate as feed additive
Authors: Gomes Juliana Rodrigues , Cardoso Alex Júnio Silva , Hisano Hamilton , Freitas Renata Maria Pereira , Martins Karina Ventura Boechat , Azevedo Filipe Silveira , Freitas Mariella Bontempo , Ferreira Pollyanna de Moraes França , Salaro Ana Lúcia , Zuanon Jener Alexandre Sampaio 
Published: November 2022

Abstract
We aimed to evaluate the effect of poultry liver protein hydrolysate (PLPH) as feed additive on the productive performance of Nile tilapia reared in a water recirculation system and investigate stress responses and redox status after an air exposure challenge. Nile tilapia juveniles were distributed in 24 aquariums and fed plant-based diets supplemented with increasing levels of PLPH (0, 10, 20, and 40 g/kg) for 45 days. At the end of the experimental period, we did not observe a significant effect of PLPH on productive performance variables or body indices. Air exposure triggered stress responses in fish, as evidenced by an increase in blood glucose; PLPH supplementation, however, did not mitigate this effect. There was a quadratic effect of PLPH supplementation on malondialdehyde level and superoxide dismutase, catalase, and glutathione S-transferase activities, with optimum PLPH values estimated at 25.14, 25.91, 22.57, and 18.83 g/kg, respectively. Increasing PLPH levels reduced carbonylated protein contents and increased hydrogen peroxide levels in gills. Although PLPH supplementation increased antioxidant enzyme activity and attenuated protein damage, it also enhanced reactive oxygen species production and lipid peroxidation. Further studies are needed to better understand the mechanisms of action of protein hydrolysates on the redox status of fish subjected to intensive management.
MVHANet: Multi-view hierarchical aggregation network for skeleton-based hand gesture recognition
Authors: Li Shaochen , Liu Zhenyu , Duan Guifang , Tan Jianrong 
Published: November 2022

Abstract
Skeleton-based gesture recognition (SHGR) is a very challenging task due to the complex articulated topology of hands. Previous works often learn hand characteristics from a single observation viewpoint. However, the spatial structure of the hand skeletons cannot be investigated explicitly, and various context information hidden in multiple viewpoints is disregarded. To resolve this issue, we propose a novel multi-view hierarchical aggregation network (MVHANet) for SHGR, which is composed of three parts. Firstly, two-dimensional non-uniform spatial sampling (2DNUSS), a novel strategy forming extrinsic parameter distributions of virtual cameras, is presented to enumerate viewpoints to observe hand skeletons from reasonable directions. Afterwards, we adopt coordinate transformation to generate multi-view hand skeletons and employ a multi-branch convolutional neural networks (CNNs) to further extract the multi-view features of hand skeletons. Furthermore, we exploit a novel hierarchical aggregation network including hierarchical attention architecture (HAA) and global context modeling (GCM) to fuse the multi-view features. Specifically, the HAA is composed of view level and group level for learning the local correlation and discriminative weights of multiple views; GCM is aimed to capture the global information of all the views from each level. Finally, the outputs of HAA and GCM are combined for hand gesture classification. In this way, we fully leverage the multi-view information of hand skeletons and improve the performance of recognition. We conduct extensive experiments on publicly available SHREC’17 Track dataset, DHG-14/28 dataset and First-Person Dynamic Hand Actions dataset. Experimental results demonstrate that our work can be competitive with the state-of-the-art methods.
Predicting high resolution total phosphorus concentrations for soils of the Upper Mississippi River Basin using machine learning
Authors: Dolph Christine , Cho Se Jong , Finlay Jacques C. , Hansen Amy T. , Dalzell Brent 
Published: November 2022

Abstract
The spatial distribution of soil phosphorus (P) is important to both biogeochemical processes and the management of agricultural landscapes, where it is critical for both crop production and conservation planning. Recent advances in the availability of large environmental datasets together with big data analytical tools like machine learning have created opportunities for evaluating and predicting spatial patterns in complex environmental variables like soil P. Here, we apply a random forest machine learning model to publicly available soil P datasets together with nearly 300 geospatial attributes summarizing aspects of soil type, land cover, land use, topography, nutrient inputs, and climate to predict total soil P at a 100m grid scale for the Upper Mississippi River Basin (UMRB), USA. The UMRB is one of the most intensively farmed regions in the world and is characterized by widespread water quality degradation arising from P-associated eutrophication. At the regional scale represented by our model, the variables with the greatest comparative importance for predicting soil P included a combination of soil sample depth, land use/land cover, underlying soil physical and geochemical properties, landscape features (such as slope, elevation and proximity to the stream network), nutrient inputs, and climate-related factors. An important product of this research is a fine-scale (100 m) raster data layer of predicted total soil P values for the UMRB for public use. This dataset can be used to improve conservation planning and modeling efforts to improve water quality in the region.
Multi-task support vector machine with generalized huber loss
Authors: Liu Qi , Zhu Wenxin , Ma Zhihong 
Published: November 2022

Abstract
The main goal of multi-task learning (MTL) is to improve generalization ability by utilizing domain-specific information implicit in training signals of multiple related tasks. MTL achieves this goal by training multiple tasks in parallel using shared representations. The adaptation of MTL to support vector machines (SVM) is a pretty successful example. Loss function plays a crucial role in the algorithm implementation and classification accuracy of SVM. Classical support vector machine(SVM) and multi-task learning support vector machine(MTLSVM) utilize the non-differentiable and noise sensitive hinge loss function. SVM with pinball loss which penalizes correctly classified points enhances the noise insensitivity of classical SVM, but it is also non-differentiable. Both pinball loss SVM and hinge loss SVM suffer from higher computational cost because they have to solve a quadratic programming problem (QPP) whose complexity is proportional to the cube of the dataset size. In contrast, the differentiability of huber loss function reduces the sensitivity to noise compared to hinge loss and pinball loss. The differentiability of huber loss function can greatly improve the running speed of SVM algorithm. Inspired by the recently published generalized huber SVM(GHSVM) and regularized multi-task learning(RMTL),we propose a novel multi-task support vector machine with generalized huber loss, named as GHMTSVM. The new method extends the GHSVM for single task learning to the multi-task learning SVM. To our knowledge, the application of the generalized huber loss to MTLSVM is innovative. The proposed method mainly has two advantages: on the one hand, compared with pinball loss and hinge loss, the huber loss is less sensitive to outliers and has better robustness; on the other hand, it adopts functional iterative to find the optimal solution, and does not need to solve QPP, which improves the solving speed. Numerical experiments are carried out on five real datasets and the result is compared with SVM, GHSVM and MTLSVM methods to verify the good performance of the proposed algorithm. Experimental results show that the GHMTSVM outperforms existing single-task learning SVMs and multi-task learning SVM.
Communities detection in multiplex networks using optimization. Study case: Employment in Mexico during the COVID-19 pandemic
Authors: Montes-Orozco Edwin , Mora-Gutiérrez Roman Anselmo , de-los-Cobos-Silva Sergio Gerardo , Bernal-Jaquez Roberto , Rincón-García Eric Alfredo , Gutiérrez-Andrade Miguel Ángel , Lara-Velázquez Pedro 
Published: November 2022

Abstract
In this work we present a methodology based on the robust coloring problem (RCP) and the vertex cover problem (VCP) in order to find the communities in multiplex networks. For this, we consider that the RCP finds a partial detection based on the similarity of connected and unconnected nodes and using VCP we look for that number of groups (previously found) to be minimized. In order to apply this methodology, we present the characterization of the behavior and dynamics of employment in the Mexican population before and during the COVID-19 pandemic. This characterization is carried out with the use of four complex multiplex networks, where each node represents a federative entity (state) of the country and the intralayer relationships are given by the quantification of the generation and loss of jobs; while the interlayer connections are the replicas of each of the states, for each period. Specifically for this work, we contemplate the years 2018, 2019, 2020 and 2021.
Relationships between genetic vascular risk polymorphism and aging. A case-control study in Venezuela
Authors: Alvarez Carlos , Bullones Andrea , Medina María Angélica , Vargas Anna , Porco Antonietta , Méndez Juan Carlos , Pestana Carolina 
Published: November 2022

Abstract
Aging is an irreversible process that produces the progressive decline of physiological functions favoring the development of cardiovascular complications associated with genetic Risk Alleles (RA). A case-control study using a sample of 90 Venezuelan individuals was performed to determine the correlation between the incidence of accelerated aging for 14 polymorphisms in genes associated with blood coagulation, lipid, and cardiovascular homeostasis. Odds Ratio (OR) results showed a 41% increase in the risk of presenting accelerated aging in subjects with the rs1800790 RA in the FGB gene. The CC genotype for the rs1800775 in the CETP gene was associated with a 62% and the TT genotype for the rs1801133 in the MTHFR gene increased risk by 2 times. However, none of these results were statistically significant. Only a significant association was determined between the presence of the homozygous deletion genotype for the rs4340 RA in the ACE gene with an increased risk up to ten times (OR: 10.6; CI: 1.23 - 90.67; p<0.05). Multivariable analyses showed that gender, obesity, hypercholesterolemia, hypertriglyceridemia, smoking, age, body mass index, systolic hypertension, the rs662 RA in the APOB, rs693 RA in the PON1 and rs1801133 RA in the MTHFR genes were the main environmental and genetic factors associated with accelerated aging.
Seasonal variation in landcover estimates reveals sensitivities and opportunities for environmental models
Authors: Myers Daniel , Jones David , Oviedo-Vargas Diana , Schmit John , Ficklin Darren , Zhang Xuesong 
Published: November 2022

Abstract

Most readily available landuse/landcover (LULC) data are developed using growing season remote sensing images and/or annual time steps. We used new Dynamic World near real-time global LULC to compare how geospatial environmental models of water quality and hydrology respond to growing vs. non-growing season LULC data. Non-growing season LULC had more built area and less tree cover than growing season data due to seasonal impacts on classifications. We evaluated the impacts of these seasonal LULC estimate differences on water quality and quantity models that span a range of complexity, including the Soil and Water Assessment Tool (SWAT). We found that in mixed-LULC watersheds, seasonal LULC classification differences could cause large differences in model outputs depending on the LULC season used. Within reason, model parameter optimization may compensate for these differences using separate calibration for each season. These findings provide opportunities for further investigations with hydrologic, climate, biogeochemical, and ecological models.
Determination of the toxic effects of heavy metals on the morpho-anatomical responses of the leaf of Typha latifolia as a biomonitoring tool
Authors: Mamine Nedjma , Grara Nedjoud , Khaldi Fadila 
Published: November 2022

Abstract
This study aims to assess the water quality in a wetland of Burgas lake (North-East Algerian) subjected to heavy metal contamination and to determine the toxic effects of this polluants on the anatomical responses of the leaf of Typha latifolia as an effective biomonitoring tool. Water samples at the outlet of the constructed open water surface wetland were collected monthly in 2018 over 3 months. The assessment included physical and chemical parameters and the concentrations of Hg, Cd, Cr, and Pb were analyzed using atomic absorption spectrometry, as well as a microscopic study of the tissues and cells that compose the leaf of Typha latifolia. The results showed the physico-chemical parameters of the water of lake Burgas treated by plantations of Typha latifolia. However, despite this The short-term ability of T. latifolia to remediate this lake contaminated causes the presence of low concertations of heavy metals which are harmful pollutants. Regarding the anatomy of the leaves, the results showed anatomical changes such as irregular shapes of the cells of the spongy parenchyma tissue and shrinkage of the size of the conducting vessels, and slight deformations detected on the xylem. In the peridermic sections, no signs of variation in stomatal anatomical features were detected, compared to the plants at the control site. On the other hand, behavioral changes marked by the closure of most stomata may be related to a mechanism of tolerance to toxic conditions, for phytoremediation of metal contaminated environments.
Ejecta from the DART-produced active asteroid Dimorphos
Authors: Li Jian-Yang , Hirabayashi Masatoshi , Farnham Tony , Knight Matthew , Tancredi Gonzalo , Moreno Fernando , Murphy Brian , Opitom Cyrielle , Chesley Steven , Sunshine Jessica , Scheeres Daniel , Thomas Cristina , Fahnestock Eugene , Cheng Andrew , Dressel Linda , Ernst Carolyn , Ferrari Fabio , Fitzsimmons Alan , Ieva Simone , Ivanovski Stavro , Kareta Teddy , Kolokolova Ludmilla , Lister Tim , Raducan Sabina , Rivkin Andrew , Rossi Alessandro , Soldini Stefania , Stickle Angela , Vick Alison , Vincent Jean-Baptiste , Weaver Harold , Bagnulo Stefano , Bannister Michele , Cambioni Saverio , Bagatin Adriano Campo , Chabot Nancy , Cremonese Gabriele , Daly Ronald , Dotto Elisabetta , Glenar David , Granvik Mikael , Hasselmann Pedro , Herreros M. , Jacobson Seth , Jutzi Martin , Kohout Tomas , Forgia Fiorangela La , Lazzarin Monica , Lin Zhong-Yi , Lolachi Ramin , Lucchetti Alice , Makadia Rahil , Epifani Elena Mazzotta , Michel Patrick , Migliorini Alessandra , Moskovitz Nicholas , Ormö Jens , Pajola Maurizio , Sánchez Paul , Schwartz Stephen , Snodgrass Colin , Steckloff Jordan , Stubbs Timothy , Trigo-Rodríguez Josep 
Published: November 2022

Abstract
NASA’s Double Asteroid Redirection Test (DART) mission performed the first ever kinetic impact to deflect an asteroid1. The DART kinetic impact test artificially activated an asteroid with a hypervelocity impact, providing a unique opportunity for an extensive observing campaign to monitor the evolutionary process from the formation of the ejecta to its dispersion via a sustained tail. Here we report observations of the impact ejecta with the Hubble Space Telescope (HST) from impact time (T)+15 minutes to T+18.5 days at a resolution of 2.1 km per pixel. Our observations showed that the gravitational interaction between the binary system and dust under the influence of solar radiation pressure produced a complex morphology during the evolution of the ejecta. The dust ejected at speeds much higher than the escape speed of the binary system (0.25 m/s) is directly ejected out of the system. The dust moving at speeds just above the escape speed displayed signatures of gravitational interaction with the binary asteroid system, forming spirals and extended features. Slow ejecta is ultimately pushed in the antisolar direction (nearly opposite the impact direction) by solar radiation pressure to form a tail. These dynamical processes are highly dependent on particle size and ejection direction. The ejecta evolution following DART’s kinetic impact offers a framework for understanding the fundamental mechanisms acting on asteroids disrupted by natural impact2,3 for the first time.