bluuebunny/crossref_metadata_2025_split huggingface dataset:
Long-term prognosis of AL amyloidosis in patients treated with bortezomib or thalidomide
Authors: Sun Yuemeng , Yu Xiaoyang , Lan Ping , Lu Wanhong , Sun Jiping , Niu Dan , Hao Yaning , Hao Dapeng , Lv Jing , Xie Liyi , Feng Jie 
Published: January 2023

Abstract
Introduction

AL amyloidosis has become a common secondary cause in elderly male patients presenting with nephrotic syndrome. Daratumumab-CyBorD regimen is approved as the standard first-line regimen for AL-amyloidosis. We aim to analyze the prognosis of patients treated with bortezomib-based regimen and other alternative regimens.

Method

We retrospectively collected the baseline and follow up data of newly diagnosed AL amyloidosis patients. Hematological and renal response rate were compared among different regimens and overall survival and renal survival were analyzed. Subgroup analysis of Mayo stage III patients was also performed.

Results

72 cases were included, 48.6% of whom had cardiac involvement. Overall response rate in patients treated with bortezomib-based regimen was 67.4%, including 27.9% complete response (CR). Renal outcomes such as proteinuria response rate and incidence of end stage renal disease (ESRD) were not different between bortezomib and thalidomide-based therapy.Median follow up for whole cohort was 22 months,and 13(18.1%) patients died at the end of follow-up, while 7 patients(9.7%) progressed to dialysis. Median overall survival (OS) was not reached in both regimens and 1 year survival rates were 90.4% and 80.0% respectively in bortezomib and thalidomide based therapy(P = 0.127). Patients treated with bortezomib-based treatment had longer organ deterioration progression-free survival (MOD-PFS).There was no difference in response rate and OS between patients treated with cyclophosphamide, bortezomib,dexamethasone(CVD) and bortezomib, dexamethasone (VD). Mayo stage III patients who were treated with VD regimen had longer OS compared with TD or CTD regimen.

Conclusion

Bortezomib-based regimen had high efficacy in promoting rapid hematologic responses and reducing the risk of major organ deterioration in AL amyloidosis, which was also effective among patients with cardiac insufficiency. Addition of cyclophosphamide into VD regimen could not further improve the overall remission or survival of AL amyloidosis.
Image Super-Resolution with Multi-scale Residual Dense Feature aggregation Networks
Authors: Ye Lintao , Zou Changjun , Xu Hangbin , Lin Chuchao 
Published: January 2023

Abstract
In recent years, for the effect of image reconstruction, the research of single image Super-resolution (SISR) using Convolutional Neural Networks (CNN) has made significant progress, and is superior to traditional methods. Aiming at improving network performance, residual connection plays a key role in these CNN-based methods. With the increase of the depth of these CNN-based networks, the residual features more aggregate the information of multiple different levels of the input image, which is more advantageous for the reconstruction of image details. However, inmost deep CNN-based SR models, the hierarchical features of the original Low-resolution (LR) image are not fully utilized. In order to solve this problem. We propose Residual Dense Feature Aggregation Block (RDFAB). Where RDFAB is the unit of residual blocks and the features extracted from each residual block are aggregated to the end of the module. As a result, RDFAB is able to produce more representative features. To further strengthen the effectiveness of RDFAB, we propose a multi-scale feature aggregation (MFA) framework, and our final multi-scale residual dense feature aggregation network (MRDFAN) combines RDFAB and MFa together with the addition of skip connections.Comprehensive experiments demonstrate the necessity of the MF A framework and the advantages of MRDFAN over the state of the art SISR methods.
COVID-19 vaccination strategies in settings with limited rollout capacity: a mathematical modelling case study in Sierra Leone
Authors: Bilgin Gizem Mayis , Lokuge Kamalini , Jabbie Ernest , Munira Liza , Glass Kathryn 
Published: January 2023

Abstract
Background
COVID-19 vaccine coverage in low- and middle-income countries continues to be challenging. As supplies increase, coverage is increasingly becoming determined by rollout capacity.
Methods
We developed a deterministic compartmental model of COVID-19 transmission to explore how age-, risk-, and dose-specific vaccine prioritisation strategies can minimise severe outcomes of COVID-19 in Sierra Leone.
Results
Prioritising booster doses to older adults and adults with comorbidities could reduce the incidence of severe disease by 21% and deaths by 32% compared to the use of these doses as primary doses for all adults. Providing a booster dose to pregnant women who present to antenatal care could prevent 39% of neonatal deaths associated with COVID-19 infection during pregnancy. The vaccination of children is not justified unless there is sufficient supply to not affect doses delivered to adults.
Conclusions
Our paper supports current WHO SAGE vaccine prioritisation guidelines (released January 2022). Individuals who are at the highest risk of developing severe outcomes should be prioritised, and opportunistic vaccination strategies considered in settings with limited rollout capacity.
Deception Detection using Random Forest-based Ensemble Learning
Authors: Bu Kun , Ramachandran Kandethody 
Published: January 2023

AbstractThe purpose of this work is to detect people lying using different ensemble machine learning algorithms to conclude a better classification model through comparison. Random Forest (RF) did an efficient work while dealing with both classification and regression problems; In this paper, we proposed a Random Forest-based ensemble learning, which is the combination of RF with SVM, GLM, KNNs, and GBM to improve the model performance. The data set that we used to fit into the machine learning models is Miami University Deception Detection Database (MU3D). MU3D is a free resource containing 320 videos of Black and White targets, female and male, telling truths and lies. We fit the MU3D video level data set into Random Forest-based ensemble learning models, which includes RF + SVM.Linear, RF + SVM.Poly, RF + GLM, RF + KNNs, RF + GBM (Stochastic Gradient Boosting) and RF + WSRF (Weighted Subspace Random Forest). As a comprehensive comparison of the model performance, we conclude our new combination of algorithms performs better than the traditional machine learning models. Our contribution in this work provides a robust classification method which improves the predicted performance while avoiding model overfitting.
Epidemiological characteristics and spatiotemporal clustering analysis of hand-foot-and-mouth disease in Dali between 2013 and 2021
Authors: Liu Qing , Zhang Tai , Liu Yanjun , Chen Xiaoming 
Published: January 2023

Abstract
Background: Hand-foot-and-mouth disease (HFMD) poses a global pediatric public health problem. There is no effective cure, so prevention and control of HFMD appears crucial. Spatiotemporal aggregation analysis allows exploration of disease occurrence, epidemic pattern, transmission rules, etiology and transmission risk, giving a basis for disease prevention and control, what information can provide in terms of the epidemiological characteristics of HFMD in Dali?
Objectives: This study aimed to Combine with the spatiotemporal aggregation analysis, which augment scientific reference and provide theoretical guidance for prevention and control research into HFMD and other epidemic diseases.
Methods: Infectious disease surveillance data and pathogen test results from the Dali Center for Disease Control and Prevention relating to HFMD were collated. An approach focusing on descriptive epidemiology and spatiotemporal clustering was adopted.
Results: A total of 49 093 HFMD cases were reported in Dali between 2013 and 2021, giving a mean annual incidence of 150.90/100 000 and 2 793 out of 4 634 samples tested positive (60.27%). Annual incidence showed significant differences between years (Χ² = 2 614.63, p < 0.001) with the majority of cases occurring during the summer. Diaspora children (n = 32 374, 65.94%) aged between 0 to 6 years old were predominantly affected and incidence rate varied by sex with males more likely to be infected (Χ² = 755.65, p < 0.001). Yongping(437.43/100 000), Binchuan(344.78/100 000) and Dali City (294.10/100 000) showed the highest incidence rates with those of adjacent areas being relevant. Clusters were more likely to occur between 4/1-7/31 and 10/1-12/31 and data were gathered from Dali City, Yangbi, Binchuan, Yongping, Yunlong, Nanjian, Weishan and Heqing.
Conclusions: HFMD in Dali was concentrated in the summer and predominantly affected preschool children. The highest incidences were found in Yunlong, Binchuan and Dali City. Incidence rates were correlated in time and space with dominant pathogens being CA16 and other EVs. The current data relating to the trend of the epidemic indicates that Dali public health departments may benefit from timely prevention and control measures.
A novel Tetra-PEG Based Hydrogel for prevention of esophageal stricture after ESD in a porcine model
Authors: Wei Yunlei , Tang Jian , Hou Xiaojia , Li Jun , Li Lei , Zhang Di , Chai Duo , Zhao Min , Liu Feng 
Published: January 2023

Abstract

Endoscopic submucosal dissection (ESD) is an accepted treatment for early esophageal cancer and precancerous lesions, but resection of a large mucosal area often leads to postoperative esophageal stricture. Biomaterials provide a new option for the treatment of post-ESD ulcers. In this study, we developed a well-defined ammonolysis-based tetra-armed poly (ethylene glycol) (Tetra-PEG) hydrogel and investigated its efficacy and related mechanisms for preventing esophageal ESD-induced stricture in a porcine model. In terms of material properties, Tetra-PEG hydrogel present great biocompatibility, great capability to retain moisture, strong tissue adhesion and high mechanical strength. Then, six domestic female pigs were randomly divided into PEG (n = 3) and control groups (n = 3). A 3/4 of the esophageal circumference ESD was performed in all pigs. In PEG group, Tetra-PEG hydrogel was easily delivered via endoscopy and adhered to the ulcer bed tightly. Compared to control group, Tetra-PEG hydrogel accelerated esophageal ulcer healing at an early stage with enhanced epithelium regeneration, milder inflammation and lesser fibrosis by regulating TGF-β/Smad2 signaling. Taken together, our findings reveal Tetra-PEG hydrogel is a promising and attractive candidate for preventing the formation of fibrotic stricture in the process of esophageal ESD-induced ulcer repair.
The novel fault diagnosis method of gearbox based on FBEWT and manifold regularization ELM
Authors: Wang Ke , Qin Fengqing 
Published: January 2023

Abstract
The novel fault diagnosis method of gearbox based on FBEWT and manifold regularization ELM is proposed to obtain excellent fault diagnosis results of gearbox in this paper. A new feature extraction strategy based on Bessel series expansion-based empirical wavelet transform Fourier (FBEWT) is used to capture the key non-stationary features of the vibrational signal of gearbox, and significantly improve the diagnosis ability of gearbox. The ELM with manifold regularization is proposed for fault diagnosis of gearbox. In order to outstand the superiority and stability of the proposed FBEWT and manifold regularization ELM, the balanced dataset and unbalanced dataset, respectively, are used. The experimental results testify that FBEWT-MRELM are more superior and stable than EWT-MRELM, and EWT-ELM regardless of balanced dataset and unbalanced dataset.
Earthquake disaster simulation of regional bridges based on nonlinear dynamic time history response analysis
Authors: Qian Ji , Yang Jipeng , Xia Ye , Yan Yexiang , Zhou Jianting 
Published: January 2023

Abstract
As the hub of the traffic network, the rapid assessment of the damaged state of bridges after earthquakes is of great significance for post-disaster rescue. The traditional vulnerability-based method can only provide the probability of different damage states of structures under different earthquake intensity indicators, which confuses the selection of post-disaster rescue routes. Therefore, based on nonlinear dynamic time history response analysis, this paper proposes a technology for earthquake disaster simulation of regional bridge groups and rapid assessment of post-earthquake damage state. First, the surface seismic response is calculated based on the regional geological borehole data obtained from the previous investigation; Second, the simplified computational mechanical model of the regional girder bridge is extracted to achieve standardized and modular data input and response analysis; Finally, the damaged state of the bridge is evaluated quantitatively based on the selected component damage index. Eighty-five bridges in a specific area are considered an example to verify the proposed method. The results show that the proposed method has high calculation efficiency and can consider the site characteristics and structural design parameters. Also, the calculation results can better reflect the actual earthquake damage distribution, providing strong technical support for post-disaster rescue.
WITHDRAWN: Implementation of Fiber Bragg for Long Transmission System with Opti system
Authors: BASIL NOORULDEN 
Published: January 2023

Abstract

This paper presents another dispersing pay model using wound fiber Bragg for long transmission distances. The proposed model is planned for a 20 Gbit/s non-dull (NRZ) transmission structure using 210 km of single mode fiber (SMF). The proposed model can in like manner be used for thick recurrence division multiplexing (DWDM). The capacity of the model is maintained by a straight string CFBG with a shortening of 90 mm and fulfills a critical ability as a compensation power supply module. The update/upgrade plan of the proposed model has a piece bungle rate (BER) and quality component of 18 or higher with palatable edge submersion. With open specifics considering added substance contrast and quality factors, BER and eye shape. Spread of the proposed model was maintained by Opti System 7.
Bilateral Single-session PCNL with Minimally Invasive Technique in Pediatric Complex Nephrolithiasis
Authors: Wang Xiaochuan , Zhao Youquan , Zhao Fangzhou , Ji Zhengguo , Yang Peiqian , Li Jun , Tian Ye 
Published: January 2023

Abstract
Objectives

To assess outcomes of bilateral single-session percutaneous nephrolithotomy (PCNL) with minimally invasive technique in pediatric population. Patients and

methods

Children who were treated with minimally invasive bilateral single-session PCNL from August 2015 to July 2021 were analyzed. Minimally invasive PCNL in this study included miniPCNL (12-16-Fr) and Microperc (4.8-Fr). Patient demographics, stone and operative characteristics, stone-free rate (SFR) and complication rate (CR) were detailed and compared. Independent predictors for operation time, irrigated fluid volume, postoperative hospital stay and postoperative complication were determined.

Results

Forty-five children (including 12 infants) with mean stone burden of 3.2 cm were enrolled, among whom the male-to-female ratio was nearly 1.5:1. SFR was 93.3% and overall CR was 53.3% (Clavien grade 1 + 2, 46.7%). SFR were favourable with different sizes of PCNL. Self-limiting hematuria represented the most common complication (33.3%), especially with miniPCNL. Stone burden was the only independent predictor for operation time (p<0.001) and postoperative complication (p = 0.008). Children with older age (p = 0.009), higher body mass index (p = 0.016) or higher stone burden (p<0.001) received larger irrigated fluid volume. Microperc was associated with less irrigated fluid volume (p = 0.001). Children with overall complications (p<0.001), especially Clavien grade 3 complications (p = 0.004) spent prolonged postoperative hospital stay.

Conclusion

Bilateral-Microperc was a preferred option for children with lower stone burden or younger children. Bilateral single-session PCNL is a feasible, effective and safe procedure for pediatric complex nephrolithiasis, and it could be a surgical option for experienced urologists.
Real-time Gesture Detection in Complex Multi-person Scenarios
Authors: Shen JunYu , Xia Yu , Cai HuaLin , Zhang Zhewei , Zhan Yinwei 
Published: January 2023

Abstract
Lacking of gesture datasets for the scenarios with multi-person, gesture detection for multi-person is generally used two-stage schemes, thus leading to high computation and time cost. In this paper, we propose a method to automatically create a multi-person gesture dataset, which can quickly generate gestures with annotation information without manual annotation in complex scenarios. Afterwards, we treat different gestures as different categories and use a one-stage approach to detect and classify all the gestures in multi-person scenarios in a single run.
Among the popular object detection backbones, the one that performs best on our dataset is pruned for the purpose of computational efficiency, knowledge distillation is further performed on the pruned
model to mitigate the accuracy decline caused by pruning, and focal loss function is optimized for improving model performance.
Experiments show that our approach significantly reduces the processing time for gesture detection in multi-person scenarios, while just slightly sacrificing the prediction accuracy. In a multi-person scenario with ten hands, the inference time of our algorithm is only 12 ms, outperforming the off-the-shelf methods by at least 4.3 times.
Breast cancer specialists’ experiences and attitudes towards mainstream genetic testing for patients with breast cancer
Authors: Allan Kirsten , Cicciarelli Linda , Beard Catherine , Lindeman Geoffrey J. , Mann G Bruce , James Paul , Forrest Laura E. 
Published: January 2023

Abstract
Germline genetic testing is an increasingly important component of treatment decision-making for clinicians and patients with breast cancer. To address increased demand and expedite access to genetic testing for these patients, the Parkville Familial Cancer Centre (PFCC) in Victoria, Australia, implemented a breast mainstream genetic testing program. The program educates and supports breast cancer specialists to provide eligible patients with pre-test information, gain consent, and arrange genetic testing during their routine cancer appointments. This study aimed to explore breast cancer specialists’ experiences and opinions of the education program and of facilitating mainstream genetic testing for their patients. Specialists who had attended the mainstream genetic testing education were invited to complete an online survey about the training provided through the education program and their experience of deploying mainstream genetic testing in their practice. Descriptive statistics were compiled, and content analysis used for open text responses. Forty-five breast cancer specialists (breast surgeons, medical oncologists, radiation oncologists and breast care nurses) responded (45% response rate). Most participants had discussed (87%) and consented (80%) patients for mainstream genetic testing. Most specialists (81%) rated their confidence levels as high or very high for consenting patients to mainstream genetic testing. The majority (89%) indicated that they believed mainstream genetic testing should be part of their role and felt well supported by the PFCC (90%). This research demonstrates that the breast cancer specialists were satisfied by the education they received and the PFCC has successfully integrated mainstream genetic testing for breast cancer patients.
Verbreitung von Bolboschoenus-Arten in Deutschland
Authors: Hroudová Zdenka , Gregor Thomas , Zákravský Petr 
Published: January 2023

Es wird eine Übersicht über die in Deutschland vorkommenden Bolboschoenus-Arten gegeben, die Bestimmungsschlüssel und Verbreitungsübersichten mit Listen geprüfter Belege enthält. Herbarrevisionen und Exkursionen sind Grundlagen der Arbeit. In Deutschland sind vier Bolboschoenus-Arten indigen: B. maritimus s. str. ist eine halophile Art der Küsten und Binnensalzstellen; B. laticarpus ist weit verbreitet in Süßwasserhabitaten, besonders in Flussauen; B. planiculmis ist eine seltene Art von Sekundärhabitaten, insbesondere Nassstellen in Feldern, von der aktuelle Funde nur aus Bayern und Sachsen-Anhalt bekannt sind; B. yagara ist ebenfalls eine seltene Art, deren Vorkommen in Fischteichen der sächsischen Lausitz, in Thüringen, Bayern und Baden-Württemberg liegen. Häufigkeiten, mögliche Ausbreitungstendenzen und Schutzbedürftigkeit werden diskutiert.
Prozesse innerhalb hybridisierender Pilosella-Populationen: P. aurantiaca und P. officinarum in Hagen (Nordrhein-Westfalen)
Authors: Krahulcová Anna , Raabe Uwe , Krahulec František 
Published: January 2023

Pilosella aurantiaca – tetraploid, fakultativ apomiktisch und eingebürgert – und P. officinarum – tetraploid, sexuell und einheimisch – bilden bei Hagen, Nordrhein-Westfalen, einen Hybridschwarm aus tetra- und hexaploiden Pflanzen. Der Hybridschwarm wurde 1990 auf einer inzwischen brach gefallenen Wiese gefunden. Seit 20 Jahren kommt hier fast unverändert ein breites Spektrum von Hybriden vor: P. aurantiaca angenäherte Morphotypen (entsprechen P. rubra), intermediäre Morphotypen (P. stoloniflora) und verschiedene P. officinarum angenäherte Morphotypen. Diese Population wurde hinsichtlich Ploidiegrad, Genomgröße, Fortpflanzungssystem, Chloroplasten-Haplotypen und Isoenzym-Phänotypen untersucht. Der zu P. rubra korrespondierende Morphotyp ist hexaploid mit variabler Fortpflanzung. Er produziert neben apomiktischen einen erheblichen Anteil sexueller und polyha­ploider Nachkommen. Die Struktur des Genotyps und der DNA-Gehalt macht eine wiederholte Entstehung aus unreduzierten Eizellen von P. aurantiaca und reduziertem Pollen von P. officinarum (2n + n-Hybridisierung) wahrscheinlich. Die damit koexistierenden Hybriden (P. stoloniflora) sind tetraploid und sexuell. Bei P. officinarum wurden zwei Chloroplasten-Ha­plotypen gefunden, wovon einer auch bei P. aurantiaca vorkommt. Das Vorkommen eines Chloroplasten-Haplotypen bei P. officinarum, der typisch für P. aurantiaca ist, macht Rückkreuzungen wahrscheinlich. Die unterschiedlichen Genomgrößen der wahrscheinlichen Elternarten spiegeln sich in den Genomgrößen der homoploiden (tetraploiden) Hybriden wider. Eine mehrfache Rückkreuzung mit P. officinarum, wie sie durch die Morphologie wahrscheinlich gemacht wird, wird durch Genomgröße und Chloroplasten-Haplotypen gestützt.