bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prioritizing the indicators responsible for sustainable municipal solid waste management using SF-AHP and SF-TOPSIS
Authors: KAUR MANBIR 
Published: May 2022

Abstract
Municipal corporations of small cities in India are struggling with the challenges that emerge from the unstructured solid waste management system. For successful implementation of the municipal solid waste management system, all the essential components of this system need to work effectively and efficiently. Identification of performance indicators is completed with the help of a literature review and expert information. Interviews were conducted with experts working in solid waste management, and three decision criteria, i.e., importance, performance, and understandability, were defined to evaluate the selected performance indicators. For uncertainties, criteria weights were established using the spherical fuzzy analytical hierarchy process approach, and the combined pair-wise comparison matrix was aggregated by applying the spherical fuzzy TOPSIS method. Eventually, the indicators responsible for sustainable waste management were selected and ranked. An assessment of the conceptual framework of MSWM is also proposed for practical implementation of the rated indicators for the MSWM system in Dinanagar and other cities with similar situations.
Study on the molecular mechanism of aster tataricus L. f. in the treatment of radiation pneumonitis based on Systems Pharmacology
Authors: Zhang Mengmei , Li Guangcai , Hu Huaqing , Mu Yi , Li Yang , Luo Jihang , Tang Yan , Xu Guangmin , Yang Ze , Liu Xiao 
Published: May 2022

Abstract
Background: The occurrence of radiation pneumonia not only affects the efficacy of radiotherapy, but also seriously threatens the health of patients undergoing radiotherapy for lung cancer. Studies have suggested that feining granule is a potentially effective drug for the treatment of radiation pneumonitis, but its mechanism and the main components of its effect are still unclear. Our study used bioinformatics methods to analyze the main the main drug- aster tataricus L. f. in Feining granules, and study its main targets and pathways in the treatment of radiation pneumonia. Methods: Analyzed the effective drug components and targets of aster through the Traditional Chinese Medicine Systems Pharmacology (TCMSP) website. And obtained gene targets related to radiation pneumonia through the website of Online Mendelian Inheritance in Man (OMIM, https://www.omim.org/), Genecard (https://www.genecards.org/) and Disgenet (https://www.disgenet.org/home/). Protein–protein interaction (PPI), Go and Kegg analysis of the obtained drugs and gene-related targets were conducted. Verify the effects of small molecule drugs on corresponding targets by conducting molecular docking experiments Results: A total of 193 targets were identified for 13 molecules of aster tataricus L. f., and 897 genes were identified to be related to radiation pneumonia. Finally, we obtained 111 genes by crossing drug and disease related target genes. After PPI, Go and Kegg analysis, we found TP53, HSP90AA1, RELA, JUN, AKT1, MAPK1, TNF and IL-6 are the most critical genes, and these key genes were most focused on the gene ontologies of DNA-binding transcription factor, RNA polymerase II-specific DNA-binding transcription factor and protein serine/threonine kinase activity, and the pathways of lipids and atherosclerosis, advanced glycation end products and their receptors, and interleukin 17. Through molecular docking experiments, it was found that the small molecules of quercetin and luteolin bind tightly to Rela and jun proteins. Conclusion: Through this study, we reveal the mechanism of action of aster in the treatment of radiation pneumonia, and provides a basis for the research on the treatment of radiation pneumonia and the development of new pharmaceutical ingredients in aster tataricus L. f. Quercetin and luteolin may be effective small molecules for radiation pneumonitis
Automatic preform design and optimization for aeroengine disk forgings
Authors: han yan , Wang Menghan , chen yifeng , chen mingfei , xiang xiang 
Published: May 2022

Abstract
To ensure a more uniform microstructure distribution of forging and improve the service performance of aeroengine disk parts, an automated preform design method is proposed for integrated preform shape design and optimization based on the NURBS curve, finite element method (FEM), and genetic algorithm (GA). Firstly, the random preform shape graph is automatically constructed by the NURBS curve design criterion. The volume and shape complexity are used as the constraints of the preform. Then the ratio of the mesh area within the set strain range to the total mesh area is used as the fitness function for the uniformity of deformation, and the genetic algorithm module is used for optimization. Finally, a large disk forging is an example of its optimal design. The results show that the deformation uniformity of the forgings is excellent, its fitness value is as high as 99.59%, and there are no problems such as folding, underfilling, and limited distribution of flash, which verifies the effectiveness of the method. In addition, the method has the advantage of strong universality, which can find the preform shape with good deformation uniformity for any shape forgings.
Stiff left atrial syndrome with pulmonary veins occlusion after percutaneous radiofrequency ablation: a life-long complication that can lead to heart transplantation
Authors: Kronenberger Rani , Tanaka Kaoru , De Asmundis Carlo , Meir Mark La 
Published: May 2022

Abstract
Background
Stiff left atrial syndrome (SLAS) and pulmonary vein (PV) occlusion are rare yet potentially major life-long complications after radiofrequency ablation for atrial fibrillation (AF). While mostly controlled by medical management, SLAS can progress to refractory congestive heart failure. Treatment of PV stenosis and occlusion remains a challenging problem with ongoing risk for recurrence regardless of techniques employed. Herein we present the case of a now 50-year-old male with acquired PV occlusion and SLAS who, over the course of ten years, despite multiple interventions, ultimately required a heart transplantation.
Case presentation:
After undergoing three radiofrequency catheter procedures for paroxysmal AF, a hybrid ablation was planned due to reappearance of symptomatic AF. Preoperative echocardiography and chest computed tomography revealed an occlusion of both left PVs. Furthermore, left atrial dysfunction, high pulmonary artery and pulmonary wedge pressures were diagnosed as well as an important reduction of the left atrial volume. The diagnosis of stiff left atrial syndrome was made. Primary surgical repair of the left-sided PVs was performed using a pericardial patch as a tubular neo-vein, combined with cryoablation in the left and right atrium to treat the patient’s arrhythmia. Initial results were favorable, however, after two years the patient experienced progressive restenosis with hemoptysis. Therefore, stenting of the common left PV was performed. Over the years, progressive right heart failure with severe tricuspid regurgitation developed, despite maximal medical therapy, which led to the need for heart transplantation.
Conclusion
The impact of PV occlusion and SLAS after percutaneous radiofrequency ablation can be lifelong and devastating for the clinical course of the patient. Since the presence of a small left atrium could be an important predictor for SLAS in case of redo ablation, preprocedural imaging should guide the operator to an algorithm of a decision making containing lesion set, energy source and safety of re-ablation.
Autologous fibrin glue versus suture for conjunctival autograft in primary pterygium: a randomized clinical trial
Authors: Cioba Christine , Marafon Samara Bárbara , Fortes Barbara Gastal Borges , Cavalheiro Mariana Thomé , Fabris Marcelo , Michel Gustavo , Zambon Gabriela Maria , Marcon Alexandre , Marinho Diane Ruschel 
Published: May 2022

Abstract
Purpose: To describe and compare the autologous fibrin glue versus traditional sutures for conjunctival graft attachment in patients undergoing primary pterygium excision surgery.Method: Randomized clinical trial, including patients who underwent pterygium surgery with autologous conjunctival graft. According to randomization, a single-trained surgeon performed graft fixation with autologous glue or sutures. The glue was prepared immediately before the surgery, using the patient´s blood components. Postoperative assessments were performed on days 1, 7, 21, 30 and 180. The study evaluated postoperative edema and pain, and complications. Mean surgical time was compared. Recurrence of the pterygium was assessed six months postoperatively.Results: The study evaluated 61 eyes. Thirty-three eyes underwent pterygium surgery using the glue technique, and 28 underwent the traditional suture technique. Fifty-one patients (83.60%) had the graft successfully adhered to at the end of follow-up. Ten patients (10/33) lost their graft in the glue group, and only 69.70% of them had the graft present in the 4th week versus 100% of the patients in the suture group (p = 0.001). Pain scores were lower in the glue group, and clinical edema was significantly higher. There was no statistical difference in graft retraction. The presence of granuloma, necrosis and postoperative infection was not different.Conclusion: Autologous fibrin glue is an available option for ACG fixation in particular contexts where fibrin glue is unavailable and it could offer advantages compared to sutures. Improvements in the autologous glue technique are necessary before widely applying it.
Diagnosis of Erythemato-Squamous Skin Diseases with Machine Learning Algorithms
Authors: BOZOK Mustafa Necati , ÇALHAN Ali 
Published: May 2022

Abstract
Since erythema squamous skin diseases show very close findings in clinical examination, a biopsy is taken from the patient for definitive diagnosis and the diagnosis of the disease can be made according to the biopsy result. On literature, classification studies were carried out on these diseases using machine learning and classification methods. Researches were mostly focused on optimizing and reducing database features for better classification score. Due to importance of reflecting spesifications of diseases we especially focused on dataset features named as as clinic or histopathological features findings. In this study, histopathological features of diseases were discussed first and than we developed an algorithm to remove outlier data from the dataset. This algorithm leads us to discover a threshold value to achieve better outlier removal. Logistic Regression, KNeihgbors Classifier, Support Vector Classifier, Gaussian Naive Bayes, Decision Tree Classifier and Random Forest Classifier methods applied to the outlier free dataset. It was determined that the Gaussian Naive Bayes method was the most appropriate classification method with 100% score. The results we obtained as a result of the algorithm we developed, being compatible with the clinical and histopathological features of skin diseases with erythema squamous, is a positive result for this study.
Obesity affects pulmonary function in Japanese adult patients with asthma, but not those without asthma
Authors: Tashiro Hiroki , Takahashi Koichiro , Kurihara Yuki , Sadamatsu Hironori , Kuwahara Yuki , Tajiri Ryo , Kimura Shinya , Sueoka-Aragane Naoko 
Published: May 2022

Abstract
Background
Obesity is a factor associated with the severity of asthma, which is characterized by airway obstruction. Pulmonary function testing is one of the important examinations for evaluating airway obstruction. However, the impact of obesity on pulmonary function in patients with asthma is not fully understood.
Methods
A total of 193 patients with asthma and 2,159 patients without asthma who visited Saga University Hospital were investigated retrospectively. Obesity was defined as a body mass index (BMI) greater than 25 kg/m2. Pulmonary functions including forced vital capacity (FVC) and forced expiratory volume in 1 second (FEV1) were compared between patients with asthma and those without asthma, focusing especially on obesity.
Results
%FVC, FEV1, and %FEV1, but not FVC were significantly lower in patients with asthma than in those without asthma (p < 0.01, < 0.01, < 0.01, 0.25, respectively). In patients with asthma, FVC, %FVC, FEV1, and %FEV1 were significantly lower in patients with obesity than in those without obesity (all p < 0.01). In addition, BMI was negatively correlated with FEV1 (ρ = − 0.22, p = 0.002). On multivariate analysis in patients with asthma, FVC (β value [95% confidence interval] 1.9 [1.1–3.4], p = 0.02) and FEV1 (2.7 [1.4–5.4], p < 0.01) were still significant between patients with obesity versus patients without obesity. However, those obesity-associated differences were not observed in patients without asthma.
Conclusion
Obesity reduces pulmonary function including FVC and FEV1 in patients with asthma but not in those without asthma.
Trial registration
The present study was retrospectively registered.
Ultra-thin crystalline silicon-based strain gauges with deep learning algorithms for silent speech interfaces
Authors: Yu Ki Jun , Kim Taemin , Shin Yejee , Kang Kyowon , Kim Kiho , Kim Gwanho , Byeon Yunsu , Kim Hwayeon , Gao Yuyan , Kim Jihyun , Lee Jinyoung , Um Seyun , Kwon Yoohwan , Son Byung Gwan , Lee Jeong Ryong , Son Geonhui , Kim Taeseong , Jun Yohan , Cho Myeongki , Sang Mingyu , Shin Jongwoon , Kim Kyubeen , Suh Jungmin , Choi Heekyeong , Hong Seokjun , Cheng Huanyu , Kang Hong-Goo , Hwang Dosik 
Published: May 2022

Abstract
A wearable silent speech interface (SSI) is a promising platform that enables verbal communication without vocalization. The most widely studied methodology for SSI focuses on surface electromyography (sEMG). However, sEMG suffers from low scalability because of signal quality-related issues, including signal-to-noise ratio and interelectrode interference. Hence, in this study, we present a novel SSI by utilizing crystalline-silicon-based strain sensors combined with a 3D convolutional deep learning algorithm. Two perpendicularly placed strain gauges with minimized cell dimension (< 0.1 mm2) could capture the biaxial strain information with high reliability. We attached four strain sensors near the subject’s mouths and collected strain data of unprecedently large wordsets (100 words), which our SSI can classify at a high accuracy rate (87.53%). Several analysis methods were demonstrated to verify the system’s reliability, as well as the performance comparison with another SSI using sEMG electrodes with the same dimension, which exhibited an accuracy rate of 35.00%.
Clinical characteristics and predictive factors of postoperative intra-abdominal abscess after distal pancreatectomy
Authors: Nakano Yutaka , Endo Yutaka , Kitago Minoru , Nishiyama Ryo , Yagi Hiroshi , Abe Yuta , Hasegawa Yasushi , Hori Shutaro , Tanaka Masayuki , Shimane Gaku , Soga Shigeyoshi , Egawa Tomohisa , Okuda Shigeo , Kitagawa Yuko 
Published: May 2022

Abstract
Purpose: The postoperative mortality rate of distal pancreatectomy is lower than that of pancreaticoduodenectomy, although persistent complications may occur after distal pancreatectomy. Fluid collection (FC) is frequently observed after distal pancreatectomy; however, FC may occasionally progress to postoperative intra-abdominal abscess (PIAA), which requires conservative or progressive interventional treatment. This study aimed to compare the status between patients with or without PIAA, identify predictive factors for PIAA and clinically relevant postoperative pancreatic fistula, and investigate clinical characteristics of patients with PIAA with interventional drainage.Methods: We retrospectively reviewed data of patients who underwent distal pancreatectomy between January 2012 and December 2019 at two high-volume centers, where hepatobiliary-pancreatic surgeries were performed by expert specialist surgeons. Logistic regression analysis was performed to determine the predictive factors for PIAA.Results: Overall, 242 patients were analyzed, among whom 49 (20.2%) had PIAA. The median postoperative period of PIAA formation was 9 (range: 3–49) days. Among the 49 patients with PIAA, 25 (51.0%) underwent percutaneous ultrasound, computed tomography, or endoscopic ultrasound-guided interventions for PIAA. In the univariate analysis, preoperative indices representing abdominal fat mass (i.e., body mass index, subcutaneous fat area, and visceral fat area) were identified as predictive factors for PIAA; in the multivariate analysis, C-reactive protein (CRP) level (continuous variable) on postoperative day (POD) 3 (odds ratio: 1.189, 95.0% confidence interval: 1.111-1.274; P<0.001) was the only independent and significant predictive factor for PIAA.Conclusions: CRP level on POD 3 was an independent and significant predictive factor for PIAA after distal pancreatectomy.
UGP2, a novel target gene of TP53, inhibits endothelial cells apoptosis and atherosclerosis
Authors: He Xin , Chen Juan-Jiang , Hu Xiu-Mei , Wu Chang-Meng , Zhang Ru-Yi , Yang Biao , Zheng Lei , Wang Qian 
Published: May 2022

Abstract

Dysfunction of the endothelial lining of lesion-prone areas of the arterial vasculature is an important contributor to the pathobiology of atherosclerotic cardiovascular disease. Recent studies have indicated that UDP-glucose pyrophosphorylase 2(UGP2) is implicated in cell proliferation and survival. Here we investigated the anti-apoptosis and anti-atherogenic effect of UGP2 in vitro and in vivo.Here, we explored the effects and mechanisms of UGP2 on apoptosis in endothelial cells by flow cytometer and Western blot analyses. And we engineered ldlr–/–ugp2+/– double-deficient mice to evaluated the apoptosis levels in atherosclerotic lesion. A microarray analysis showed that the expression of UGP2 was reduced in human atherosclerotic plaques. In vitro experiments revealed that TP53 interacted with the promotor region of the UGP2 gene, which upregulated UGP2 expression. Augmentation of UGP2 expression downregulated ROS levels, the expressions of Cleaved caspase-3 and apoptosis levels in endothelial cells, and this inhibitory effects of UGP2 on cell apoptosis could be significantly abolished by H2O2. In vivo experiments using ldlr–/–ugp2+/– mice fed a Western high-fat diet demonstrated that UGP2 deficiency promoted atherosclerosis, and increased the levels of ROS, expressions of Cleaved caspase-3 and apoptosis cells in atherosclerotic lesions. Thus, our results provide evidence for UGP2 as a novel target gene of TP53 contributes to anti-apoptosis effect linking to ROS homeostasis differ from canonical pathway, and we suggested that UGP2 could act as potential therapeutic targets to ameliorate atherosclerosis-related diseases.
Anti-inflammatory effects of Irisin in LPS-stimulated RAW264.7 macrophages by inhibiting the MAPK pathway
Authors: Ma Yuke , Du Yukuan , Yang Jingnan , He Qiaoling , Wang Huichao , Lin Xuhong 
Published: May 2022

Abstract
Aims Irisin is a newly discovered actin that has been shown to be effective against inflammation-related symptoms. The aim of this study was to investigate the influence of Irisin on LPS-induced inflammation in vitro and to investigate the role of the mitogen-activated protein kinase (MAPK) pathway in the protecting effect of Irisin in LPS-stimulated RAW 264.7 macrophages.Methods Cell viability was assessed using MTT assay and flow cytometry, cell morphology was measured by optical microscope, IL-12 and IL-23 were detected by Elisa, and the levels of related proteins were analyzed by western blot. Phagocytosis of zymosan and clearance of apoptotic cells were measured.Results MTT assay and flow cytometry results showed that LPS-induced cytotoxicity was reversed by Irisin(p<0.001), after coincubation with Irisin, the level of IL-12 and IL-23 decreased in LPS-stimulated RAW264.7 macrophages(p>0.05). Irisin pretreatment significantly inhibited the phosphorylation of ERK and AKT and increased the expression of PPAR α and PPAR γ(p<0.05). LPS-induced enhancement of phagocytosis(p<0.05) and cell clearance was reversed by Irisin pretreatment(p<0.001).Conclusions Irisin ameliorated LPS-induced inflammation by inhibiting cytotoxicity and apoptosis, and this protective effect may be mediated through the MAPK pathway.
ν-improved Nonparallel Support Vector Machine
Authors: Sun Fengmin , Lian Shujun 
Published: May 2022

Abstract
In this paper, we propose a new nonparallel support vector classifier, named ν-improved nonparallel support vector machine (ν-IMNPSVM), for solving binary classification problems. The model is adjusted on the nonparallel support vector classifier. In order to control the number of support vectors effectively, the value of C is replaced by the quantity ν. At the same time, ε-band is kept as small as possible. The hyperplane is constructed in the region where the data points are densely distributed, which plays a great role in the processing of unbalanced data sets. ν-IMNPSVM inherits the advantages of the previous model and improves the classification effect to some extent. The feasibility and effectiveness of the new model are showed by the validation results of a large number of data sets.AMS Subject Classification: 90C30
New Statistical Perspectives on Bath’s Law and Aftershock
Authors: Grimm Christian , Rupprecht Teresa , Johnson Kendra , Hainzl Sebastian , Küchenhoff Helmut , Käser Martin , Pagani Marco 
Published: May 2022

Abstract
The well-established Bath's law states that the average magnitude difference between a mainshock and its strongest aftershock is roughly 1.2, independently of the size of the mainshock. The main challenge in calculating this value is the bias introduced by missing data points when the strongest aftershock is below the observed cut-off magnitude. Ignoring missing values leads to a systematic error, because the data points removed are those with particularly large magnitude differences $\Delta M$. The error is minimized, if we restrict the statistics to mainshocks at least two magnitude units above the cut-off, but then the sample size is strongly reduced. This work provides an innovative approach for modelling $\Delta M$ by adapting methods for time-to-event data, which often suffers from incomplete observation (censoring). In doing so, we adequately account for unobserved values and estimate a fully parametric distribution of the magnitude differences $\Delta M$ for $M>6$ mainshocks. Results show that magnitude differences are best modeled by the Gompertz distribution, and that larger $\Delta M$ are expected at increasing depths and higher heat flows. A simulation experiment suggests that $\Delta M$ is mainly driven by the number and the magnitude distribution of aftershocks. Therefore, in a second study, we modelled the variation of aftershock productivity in a stochastically declustered local catalog for New Zealand, using a generalized additive model approach. Results confirm that aftershock counts can be better modelled by a Negative Binomial than a Poisson distribution. Interestingly, there is indication that triggered earthquakes trigger themselves two to three times more aftershocks than comparable background events. This effect can either be an indicator for incorrect trigger pair assignments as a result of the declustering approach, or it may represent an actual effect due to a higher prevalent energy level in the tectonic system during on-going earthquake sequences. If confirmed, this effect must be carefully considered in forward simulations of earthquake sequences, as otherwise there is a risk of substantially underestimating cluster sizes and consequently overestimating $\Delta M$.