bluuebunny/crossref_metadata_2025_split huggingface dataset:
Contemporary clinical management of acute pulmonary embolism: the COPE study
Authors: Becattini Cecilia , Agnelli Giancarlo , Maggioni Aldo Pietro , Dentali Francesco , Fabbri Andrea , Enea Iolanda , Pomero Fulvio , Ruggieri Maria Pia , Di Lenarda Andrea , Gulizia Michele 
Published: January 2022

Abstract
Background
New management, risk stratification and treatment strategies have become available over the last years for patients with acute pulmonary embolism (PE), potentially leading to changes in clinical practice and improvement of patients’ outcome.

Methods
The COntemporary management of Pulmonary Embolism (COPE) is a prospective, non-interventional, multicentre study in patients with acute PE evaluated at internal medicine, cardiology and emergency departments in Italy. The aim of the COPE study is to assess contemporary management strategies in patients with acute, symptomatic, objectively confirmed PE concerning diagnosis, risk stratification, hospitalization and treatment and to assess rates and predictors of in-hospital and 30-day mortality. The composite of death (either overall or PE-related) or clinical deterioration at 30 days from the diagnosis of PE, major bleeding occurring in hospital and up to 30 days from the diagnosis of PE and adherence to guidelines of the European Society of Cardiology (ESC) are secondary study outcomes. Participation in controlled trials on the management of acute PE is the only exclusion criteria. Expecting a 10–15%, 3% and 0.5% incidence of death for patients with high, intermediate or low-risk PE, respectively, it is estimated that 400 patients with high, 2100 patients with intermediate and 2500 with low-risk PE should be included in the study. This will allow to have about 100 deaths in study patients and will empower assessment of independent predictors of death.

Conclusions
COPE will provide contemporary data on in-hospital and 30-day mortality of patients with documented PE as well as information on guidelines adherence and its impact on clinical outcomes.

Trail registration
NCT number: NCT03631810.
DuFeNet: Improve the Accuracy and Increase Shape Bias of Neural Network Models
Authors: Ye Zecong , Gao Zhiqiang , Cui Xiaolong , Wang Yaojie , Shan Nanliang 
Published: January 2022

AbstractIn image classification field, existing work tends to modify the network structure to obtain higher accuracy or faster speed. However, some studies have found that the neural network usually has texture bias effect, which means that the neural network is more sensitive to the texture information than the shape information. Based on such phenomenon, we propose a new way to improve network performance by making full use of gradient information. The dual features network (DuFeNet) is proposed in this paper. In DuFeNet, one sub-network is used to learn the information of gradient features, and the other is a traditional neural network with texture bias. The structure of DuFeNet is easy to implement in the original neural network structure. The experimental results clearly show that DuFeNet can achieve better accuracy in image classification and detection. It can increase the shape bias of the network adapted to human visual perception. Besides, DuFeNet can be used without modifying the structure of the original network at lower additional parameters cost.
Duration of antibody responses following severe acute respiratory syndrome coronavirus 2 infection
Authors: Jiang Yao , Wei Xiuqi , Wang Hui , Li Guiling 
Published: January 2022

Abstract
Background
Little is known on the duration of anti-severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) immunoglobulin G (IgG) antibodies in patients following SARS-CoV-2 infection.

Aims
We aimed to determine the duration of the immunoglobulin G (IgG) and M (IgM) antibody responses following SARS-CoV-2 infection and to evaluate the risk factors for a short duration of anti-SARS-CoV-2 IgG.

Methods
We measured antibody responses in 94 patients who had recovered from SARS-CoV-2 infection. The chi-square test and multivariable logistic regression analysis were used to identify risk factors for a short duration (< 6 months) of anti-SARS-CoV-2 IgG.

Results
IgG antibodies were detectable in all patients until 4 months; 19 (21.8%) convalescent patients reverted to IgG negative 4–6 months after symptom onset. IgM antibodies decreased significantly to 5.7% at 4–6 months after symptom onset. Patient characteristics were not associated with a short duration of detectable IgG.

Conclusions
A substantial fraction of convalescents may exhibit a transient IgG response following SARS-CoV-2 infection. Our findings suggest that patients who have recovered from SARS-CoV-2 infection should also be vaccinated if their anti-SARS-CoV-2 IgG antibodies are undetectable.
Effects of an incremental theory of the personality intervention on psychophysiological responses to social stress during the transition to college
Authors: Calvete Esther , Orue Izaskun , Prieto-Fidalgo Angel , Gómez-Odriozola Joana , Mueller Sven C. , Royuela-Colomer Estibaliz , Morea Aida , Ruiz-Alonso Eneko , Larrucea-Iruretagoyena Maite , Little Todd D. , Fernández-González Liria 
Published: January 2022

AbstractThis randomized controlled trial (NCT04786496) examined the effects of a preventive intervention based on Incremental Theory of the Personality (ITP) on psychophysiological responses to social stress and evaluated whether levels of depression moderate the intervention effects. The participants, 107 first-year university students, were randomly assigned to one of three conditions: ITP intervention, ITP + a self-affirmation intervention (SA), and a control condition (CC). Indicators of the Hypothalamic–Pituitary–Adrenal axis, autonomic nervous system, and subjective mood were assessed with the Trier Social Stress Task. Participants in the ITP condition displayed a lower decline in respiratory sinus arrythmia (RSA) compared to those in the CC during the first phases of the task [Slopes: -0.08 (0.09) vs -0.21 (0.09), z = 2.86, p = .004] and a higher decrease in cortisol at recovery [β = -0.18 (0.08), z = -2.37, p = .018]. Depressive symptoms moderated the effect of ITP [β = -0.10 (0.05), z = -2.15, p =.032] and ITP+SA [β = -0.09 (0.04), z = -2.06, p =.039] in the decline during stress and recovery in RSA. In participants with low/medium levels of depressive symptoms, both interventions predicted a lower decline during stress [Slopes: -0.06 (0.09) for ITP, -0.17 (.09) for ITP+SA, and -0.26 (0.09) for CC] and higher recovery in RSA [Slopes: 0.18 (0.01) for ITP, 0.24 (0.01) for ITP+SA, and 0.30 (0.01) for CC]. The findings suggest that the ITP intervention has the potential to be an effective preventive intervention to reduce the stress response.
Prediction of future failures in the log-logistic distribution based on hybrid censored data
Authors: Abou Ghaida Wassim R. , Baklizi Ayman 
Published: January 2022

AbstractWe consider the prediction of future observations from the log-logistic distribution. The data is assumed hybrid right censored with possible left censoring. Different point predictors were derived. Specifically, we obtained the best unbiased, the conditional median, and the maximum likelihood predictors. Prediction intervals were derived using suitable pivotal quantities and intervals based on the highest density. We conducted a simulation study to compare the point and interval predictors. It is found that the point predictor BUP and the prediction interval HDI have the best overall performance. An illustrative example based on real data is given.
Understanding the Cost-Effectiveness of Hearing Aids and Surgery for the Treatment of Otosclerosis
Authors: Gillard Danielle M. , Sharon Jeffrey D. 
Published: January 2022

Abstract
Purpose of Review
To summarize and critically review recent literature on the relative cost-effectiveness of hearing augmentation versus stapes surgery for the treatment of otosclerosis.

Recent Findings
Otosclerosis leads to reduced patient quality of life, which can be ameliorated by either stapes surgery, or hearing aid usage. The success of stapes surgery is high, and the risks of serious postoperative complications are low. Hearing aids don’t have the complications of surgery but are associated with long-term costs. Cost-effectiveness models have shown that stapes surgery is a cost-effective method for treating otosclerosis.

Summary
Both stapes surgery and hearing aids can improve patient-reported quality of life in otosclerosis. Stapes surgery has larger upfront costs and surgical risks, but hearing aids are associated with longer lifetime costs. Stapes surgery is cost-effective for the treatment of otosclerosis.
Factors associated with urinary and double incontinence in a geriatric post-hip fracture assessment in older women
Authors: Hellman-Bronstein Aino Tuulikki , Luukkaala Tiina Hannele , Ala-Nissilä Seija Sinikka , Kujala Minna Anneli , Nuotio Maria Susanna 
Published: January 2022

Abstract
Background
Incontinence and hip fractures are common in older people, especially women, and associated with multiple adverse effects. Incontinence is a risk factor for falls.

Aims
We aimed to investigate the prevalence of urinary (UI) and double incontinence (DI, concurrent UI and faecal incontinence), and to identify factors associated with UI and DI 6 months post-fracture.

Methods
A prospective real-life cohort study was conducted consisting of 910 women aged ≥ 65 who were treated for their first hip fracture in Seinäjoki Central Hospital, Finland, between May 2008 and April 2018. Continence status was elicited at baseline and 6 months postoperatively at our geriatric outpatient clinic where all participants underwent a multidisciplinary comprehensive geriatric assessment (CGA) consisting of an evaluation of cognition, nutrition, mood, mobility, and functional ability.

Results
At baseline, 47% of the patients were continent, 45% had UI and 8% had DI, and at follow up, 38%, 52%, and 11%, respectively. The mean age of the patients was 82.7 ± 6.8. Both UI and DI were associated with functional disability and other factors related to frailty. The associations were particularly prominent for patients with DI who also had the worst performance in the domains of CGA. We identified several modifiable risk factors: depressive mood (odds ratio [OR] 1.81; 95% confidence interval [CI] 1.16–2.84) and constipation (OR 1.48, 95% CI 1.02–2.13) associated with UI and, late removal of urinary catheter (OR 2.33, 95% CI 1.31–4.14), impaired mobility (OR 2.08, 95% CI 1.05–4.15), and poor nutrition (OR 2.31, 95% CI 1.11–4.79) associated with DI.

Conclusions
This study demonstrates a high prevalence of UI and DI in older women with hip fracture and modifiable risk factors, which should be targeted in orthogeriatric management and secondary falls prevention. Patients with DI were found to be an especially vulnerable group.
Assessment of glomerular morphological patterns by deep learning algorithms
Authors: Weis Cleo-Aron , Bindzus Jan Niklas , Voigt Jonas , Runz Marlen , Hertjens Svetlana , Gaida Matthias M. , Popovic Zoran V. , Porubsky Stefan 
Published: January 2022

Abstract
Background
Compilation of different morphological lesion signatures is characteristic of renal pathology. Previous studies have documented the potential value of artificial intelligence (AI) in recognizing relatively clear-cut glomerular structures and patterns, such as segmental or global sclerosis or mesangial hypercellularity. This study aimed to test the capacity of deep learning algorithms to recognize complex glomerular structural changes that reflect common diagnostic dilemmas in nephropathology.

Methods
For this purpose, we defined nine classes of glomerular morphological patterns and trained twelve convolutional neuronal network (CNN) models on these. The two-step training process was done on a first dataset defined by an expert nephropathologist (12,253 images) and a second consensus dataset (11,142 images) defined by three experts in the field.

Results
The efficacy of CNN training was evaluated using another set with 180 consensus images, showing convincingly good classification results (kappa-values 0.838–0.938).
Furthermore, we elucidated the image areas decisive for CNN-based decision making by class activation maps. Finally, we demonstrated that the algorithm could decipher glomerular disease patterns coinciding in a single glomerulus (e.g. necrosis along with mesangial and endocapillary hypercellularity).

Conclusions
In summary, our model, focusing on glomerular lesions detectable by conventional microscopy, is the first sui generis to deploy deep learning as a reliable and promising tool in recognition of even discrete and/or overlapping morphological changes. Our results provide a stimulus for ongoing projects that integrate further input levels next to morphology (such as immunohistochemistry, electron microscopy, and clinical information) to develop a novel tool applicable for routine diagnostic nephropathology.
Storage assignment optimization for fishbone robotic mobile fulfillment systems
Authors: Wang Yanyan , Man Rongjun , Zhao Wanmeng , Zhang Honglin , Zhao Hong 
Published: January 2022

AbstractRobotic Mobile Fulfillment System (RMFS) affects the traditional scheduling problems heavily while operating a warehouse. This paper focuses on storage assignment optimization for Fishbone Robotic Mobile Fulfilment Systems (FRMFS). Based on analyzing operation characteristics of FRMFS, a storage assignment optimization model is proposed with the objectives of maximizing operation efficiency and balancing aisle workload. Adaptive Genetic Algorithm (AGA) is designed to solve the proposed model. To validate the effectiveness of AGA in terms of iteration and optimization rate, this paper designs a variety of scenarios with different task sizes and storage cells. AGA outperforms other four algorithm in terms of fitness value and convergence and has better convergence rate and stability. The experimental results also show the advancement of AGA in large size FRMFS. In conclusion, this paper proposes a storage assignment model for FRMFS to reduce goods movement and travel distance and improve the order picking efficiency.
Combining weighted SMOTE with ensemble learning for the class-imbalanced prediction of small business credit risk
Authors: Abedin Mohammad Zoynul , Guotai Chi , Hajek Petr , Zhang Tong 
Published: January 2022

AbstractIn small business credit risk assessment, the default and nondefault classes are highly imbalanced. To overcome this problem, this study proposes an extended ensemble approach rooted in the weighted synthetic minority oversampling technique (WSMOTE), which is called WSMOTE-ensemble. The proposed ensemble classifier hybridizes WSMOTE and Bagging with sampling composite mixtures to guarantee the robustness and variability of the generated synthetic instances and, thus, minimize the small business class-skewed constraints linked to default and nondefault instances. The original small business dataset used in this study was taken from 3111 records from a Chinese commercial bank. By implementing a thorough experimental study of extensively skewed data-modeling scenarios, a multilevel experimental setting was established for a rare event domain. Based on the proper evaluation measures, this study proposes that the random forest classifier used in the WSMOTE-ensemble model provides a good trade-off between the performance on default class and that of nondefault class. The ensemble solution improved the accuracy of the minority class by 15.16% in comparison with its competitors. This study also shows that sampling methods outperform nonsampling algorithms. With these contributions, this study fills a noteworthy knowledge gap and adds several unique insights regarding the prediction of small business credit risk.
Semantic segmentation of large-scale point clouds based on dilated nearest neighbors graph
Authors: Wang Lei , Wu Jiaji , Liu Xunyu , Ma Xiaoliang , Cheng Jun 
Published: January 2022

AbstractThree-dimensional (3D) semantic segmentation of point clouds is important in many scenarios, such as automatic driving, robotic navigation, while edge computing is indispensable in the devices. Deep learning methods based on point sampling prove to be computation and memory efficient to tackle large-scale point clouds (e.g. millions of points). However, some local features may be abandoned while sampling. In this paper, We present one end-to-end 3D semantic segmentation framework based on dilated nearest neighbor encoding. Instead of down-sampling point cloud directly, we propose a dilated nearest neighbor encoding module to broaden the network’s receptive field to learn more 3D geometric information. Without increase of network parameters, our method is computation and memory efficient for large-scale point clouds. We have evaluated the dilated nearest neighbor encoding in two different networks. The first is the random sampling with local feature aggregation. The second is the Point Transformer. We have evaluated the quality of the semantic segmentation on the benchmark 3D dataset S3DIS, and demonstrate that the proposed dilated nearest neighbor encoding exhibited stable advantages over baseline and competing methods.
Influence of stamping parameters on stamping characteristics of SAF2205 bidirectional stainless steel
Authors: Cao Angang , Li Wei , Wang Jiyue , Fu Jialin 
Published: January 2022

Abstract
SAF2205 bidirectional stainless steel is an excellent material for multiple corrugated diaphragms. It is necessary to study its stamping forming characteristics and provide a theoretical basis for stamping forming of multiple corrugated diaphragms. In this paper, the detailed V-bending process parameters are formulated. The effects of bending speed, relative fillet radius, temperature, and alignment time on spring-back behavior of SAF2205 bidirectional stainless steel are systematically studied to reveal the positive and negative spring-back mechanism. The range of process parameters suitable for stamping of SAF2205 bidirectional stainless steel was obtained.

Article Highlights

The detailed V-bending process parameters are formulated.

The effect of SAF2205 parameters on the spring-back behavior was studied.

The range of process parameters suitable for stamping of SAF2205 was obtained.
Diurnal and seasonal variation of planetary boundary layer height over East Asia and its climatic change as seen in the ERA-5 reanalysis data
Authors: Kim Kwang-Yul 
Published: January 2022

AbstractThe diurnal/seasonal structure of the boundary layer height (BLH) is investigated over East Asia by using the hourly synoptic monthly ERA5 reanalysis variables from 1979 to 2019. Sensible heat flux (SHF) is the major factor in the temporal and spatial variation of the BLH. Although BLH, in general, is positively correlated with SHF throughout the year, BLH-SHF relationship varies significantly based on the surface type, latitude and time of the year. Analysis also reveals that stability is an important parameter controlling the diurnal maximum BLH. The growth of BLH is strongly limited by the presence of a stable layer. On the other hand, BLH increases abruptly in the presence of a weakly stratified residual layer. In addition, regional warming tends to increase the BLH in the mid- to high-latitude continental area. In the low-latitude continental area, the sign of anomalous SHF varies seasonally and regionally. Stability plays only a minor role in the BLH change except over the Tibetan Plateau, where the increased stability at the top of boundary layer due to warming reduces BLH rather significantly.
Analysis of biaxial proportional low-cycle fatigue crack propagation for hull inclined-crack plate based on accumulative plasticity
Authors: Deng Junlin , Tu Wenling , Dong Qin , Dong Dawei , Qiu Shenglin 
Published: January 2022

AbstractFracture failures of ship plates subjected to in-plane biaxial low-cycle fatigue loading are generally the coupling result of accumulative plasticity and biaxial low-cycle fatigue damage. A biaxial low-cycle fatigue crack growth analysis of hull structure that accounts for the accumulative plasticity effect can be more suitable for the actual evaluation of the overall fracture performance of the hull structure in severe sea conditions. An analytical model of biaxial low-cycle fatigue crack propagation with a control parameter for ∆CTODis presented for hull inclined-crack plate. A test was conducted for cruciform specimens made of Q235 steel with an inclined crack to validate the presented analysis. The biaxial accumulative plasticity behavior and the effects of biaxiality and stress ratios were investigated. The results of this study reveal a strong dependence of biaxial low-cycle fatigue crack propagation on biaxial accumulated plasticity.
Development, preparation and characterization of chitosan, gelatin and heparin membranes for biomedical applications
Authors: da Silva Rossana Seixas Maia , Barbosa Rossemberg Cardoso , dos Santos Chagas Camila , da Silva Emerson Barbosa , Feder David , Fonseca Fernando Luiz Affonso , Fook Marcus Vinícius Lia 
Published: January 2022

AbstractWith the rising in life expectancy and the consequent population aging, degenerative chronic diseases have been figured as the major cause of morbidity and mortality in the world. It is believed that the production of a polymeric matrix composed of chitosan and gelatin may be an alternative to obtain a carrier base of heparin, with the prospective objective of applying these materials as an alternative to the conventional therapeutic resources biomedical. Based on the results, it can be concluded that the interaction between chitosan, gelatin, and heparin demonstrating a satisfactory result by the methodologies that were applied, making the study hypothesis concrete., certifying the use of a methodology for including heparin in a biodegradable polymeric base. Thus, expanding the alternatives for possible alternatives to the conventional therapeutic resources of vascular diseases with the application of the developed materials.
Toxicological and safety evaluations of Weissella cibaria strain CMU in animal toxicity and genotoxicity
Authors: Dolan Laurie C. , Arceneaux Benjamin G. , Do Kyung-Hyo , Lee Wan-Kyu , Park Geun-Yeong , Kang Mi-Sun , Choi Kyung-Chul 
Published: January 2022

AbstractWeissella cibaria belongs to the Lactobacillaceae family and has been isolated from traditional fermented foods and saliva of children with good oral health. Previous investigations have shown that W. cibaria CMU (Chonnam Medical University) is expected to be safe based on results of in silico and in vitro analyses. However, there is a lack of studies assessing its safety in vivo. A toxicological safety evaluation of W. cibaria CMU was performed using an acute oral safety study in rats, a 14-day oral range finding study, a subsequent 13-week oral toxicity study in rats and a genetic toxicity battery (in vitro bacterial reverse mutation, in vitro chromosome aberration in Chinese Hamster Ovary cells and in vivo micronucleus study in mice). The results of the studies in rats showed that the acute lethal dose of W. cibaria CMU is > 5000 mg/kg body weight (bw)/day (1.8 × 109 CFU/kg bw/day) and the 14-day or 13-week no observed adverse effect level (NOAEL) is 5000 mg/kg bw/day (1.8 × 109 CFU/kg bw/day), the highest dose administered. W. cibaria CMU was non-mutagenic in the bacterial reverse mutation test and non-clastogenic or aneugenic in vitro and in vivo. In conclusion, the toxicological studies performed demonstrated W. cibaria CMU to be a safe strain to consume. This study is the first study examining the potential of a W. cibaria strain to cause genetic toxicity and subchronic toxicity in rats according to the Organization for Economic Cooperation and Development guidelines.