bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multi-attribute fire safety evaluation of subway station based on FANP – FGRA – Cloud model
Authors: Chai Naijie , Zhou Wenliang 
Published: November 2022

Abstract
With the development of subway network, the fire safety of station is affected by many factors in the operation process. But there seem to be few studies developing quantitative models to evaluate fire safety of subway station. The aim of this study is to develop a multi-attribute hybrid method by combining Fuzzy Analytic Network Process (FANP), Fuzzy Grey Relational Analysis (FGRA) with Cloud model. This research sorts out and identifies high-frequency hazard factors associated with fire accidents of station from personal, equipment, environmental and management aspects comprehensively, and explores dependences and interactions among them simultaneously. Seven typical transfer stations of Changsha subway network in China are studied by using the proposed approach, and the results show that: (1) the fire safety order from the best to the worst determined is FBH (A2), SWGY (A7), CSRS (A6), YWZ (A1), HTL (A5), HJT (A4) and WYGC (A3); (2) through comparing the results obtained by the proposed method with that determined fuzzy TOPSIS and fuzzy sum weighted method, it is proved that the method developed in this study is reliable and effective; and (3) sensitivity analysis indicates that the ranking order of stations is influenced by fluctuation of criterion and sub-criterion weights. These findings concentrate on providing a new sight for identification of hazard factors and quantitative evaluation regarding the fire safety of stations, so as to prevent this type of security accidents and minimize damages caused by this.
Impact of cardiac biomarkers on severity and outcome of acute pulmonary embolism: A prospective observational study
Authors: Sagcan Gulseren , Cuhadaroglu Caglar , Okumus Gulfer , Uzun Hafize , Arseven Orhan 
Published: November 2022

Abstract
Background

Acute pulmonary embolism (APE) is a common clinical condition. Its severity ranges from asymptomatic radiological findings to fatal obstructive shock. Cardiac biomarkers have been studied to predict APE outcomes. This study aimed to explore their predictive power on prognosis in APE.

Material and Method

It was a prospective observational study between March 2008 and April 2010. All consecutive patients diagnosed with APE were categorized as massive/high-risk, submassive/moderate-risk, and non-massive/low-risk. Cardiac troponin T (cTnT), myoglobin, N-terminal pro-brain natriuretic peptide (NT-proBNP), heart-type fatty acid-binding protein (H-FABP), growth differentiation factor-15 (GDF-15), and D-dimer levels were measured.

Results

Of these patients, 14 (29.8%), 16 (34.0%), and 17 (36.2%) patients were categorized as low-risk, moderate-risk, and high risk-patients, respectively. There was no significant difference between the patient groups categorized based on the risk stratification in terms of demographic and clinical characteristics. The cTnT, myoglobin, HFABP, and D-dimer levels have also not differed significantly between the groups. There was a significant difference between the groups in respect of NT-proBNP and GDF-15 levels (p = 0.009 and p = 0.037, respectively). Nine (19.1%) patients had died by the 3rd-month follow-up. Adverse events were seen in 26 (55.3%) patients. GDF-15 had the highest area under the curve (AUC) value for predicting any adverse event (cut-off value = 9.3 ng/mL, AUC = 0.796, CI (confidence interval) 95%: 0.653–0.899). NT-ProBNP was determined as the best predictor for mortality (cut-off value = 229.2 pg/mL, AUC = 0.889, CI 95%: 0.756–0.964).

Conclusion

Higher levels of NT-proBNP and GDF-15 were found to be associated with more severe APE, worse outcomes, and mortality.
Development of Fournier gangrene after chemotherapy despite the absence of anorectal lesions originally: A case report
Authors: Nonaka Kenichi , Kawase Kota , Takagi Kimiaki , Takatsu Yuta , Maniwa Koji , Takao Chika , Komura Minoru , Mushika Yoshinori , Takeuchi Noriyuki , Kato Toshio , Kusakabe Mitsuhiko , Kondo Mitsutaka 
Published: November 2022

Abstract
Background

Fournier’s gangrene is a life-threatening disease because the infected region expands very quickly, the patient easily suffers septic shock, and the mortality rate is high. Usually, Fournier’s gangrene will occur when there is a wound or tumor, from which a specific bacteria intrudes into soft tissue. We encountered a patient with Fournier’s gangrene due to severe myelosuppression after chemotherapy, although there was no initial lesion on the anus and rectum.

Case presentation

A 54-year-old man with a recurrence of left testicular cancer had been administered chemotherapy. Twelve days later, the patient complained of severe pain around the anus. The following day, the patient went into septic shock. Upon visual inspection, there was dark purple skin discoloration on the left side of the anus. Laboratory data revealed severe neutropenia. Computed tomography revealed a high density of soft tissue on the left side of the anus and gas bubbles in the left femoral ring. We diagnosed the patient with Fournier’s gangrene due to a severe immune suppressive state after chemotherapy. We emergently removed necrotic tissue as much as possible. However, because the patient was in severe sepsis status, he needed careful management in the intensive care unit for 32 days. After the first emergency operation, we performed additive removals several times. Finally, 391 days after the initial surgery, the patient was discharged from our hospital. The tumor has not recurred, and the patient is under outpatient observation in the urology department.

Conclusion

Despite having no anorectal lesions initially, if patients who receive chemotherapy and are in a severe myelosuppressive state complain of severe pain in the perianal area and have a dark purple discoloration of the skin around the anus, the possibility of Fournier's gangrene should be considered.
A point crowdedness based evolutionary algorithm for many-objective optimization
Authors: Dai Cai , peng cheng , Lei Xiujuan 
Published: November 2022

Abstract
It is well known that many-objective optimization problems (MaOPs) are difficultly to be balanced diversity and convergence in the search process due to the high dimension of the objective spaces. The method of evaluating the diversity of the solution set can directly affect the final performances of the algorithms. In this article, we propose a point crowding-degree (PC) strategy to evaluate the diversity of solution sets in view of the characteristics of high dimension and fewer sampling points of MaOPs in the high-dimensional objective space, which propose a point crowding-degree based evolutionary algorithm (PCEA) for many-objective optimization problems. Specifically, the proposed PC strategy not only considers the distance between any two points as large as possible, but also considers the gap between each dimension component as large as possible, and ponders the influence of surrounding neighbor points on the diversity of this point, which obtain a better diversity solution set. At the same time, the selection of evolutionary operators balance convergence and diversity, and further points the search to the feasible region. The PCEA is compared experimentally with several state-of-the-art algorithms on the CEC2018 many-objective benchmark functions with up to 15 objectives and the experimental results show that the proposed PCEA algorithm has strong competitiveness and better overall performance. In addition, the proposed PC strategy is integrated into other advanced MaOPs methods. The results show that it is beneficial to improve the performance of other MaOEAs algorithms.
A mixed finite element method for solving the Time-Fractional-Darcy equation
Authors: Lin Zeng 
Published: November 2022

Abstract
Darcy flow is an important mathematical model to describe a fluid through a porous media. Many research reveal fractional model is an alternative approach to simulate the porous medium flow. To seek more accurate mathematical model for this type of flow, a novel Time-Fractional-Darcy equation is investigated and numerically solved in this paper. The finite difference method is utilized to discrete the temporal fractional derivative. For pursuing higher calculate accuracy and better numerical stability, the fully coupled mixed finite element methods with stabilized terms are proposed in space. The effectiveness and accuracy of the presented methodology is consistently demonstrated by 2D and 3D numerical examples.
An Immunogenic Cell Death-Based Risk model Predicts Prognosis and Indicates Immune Infiltration Landscape in Acute Myeloid Leukemia
Authors: Ma Guangxin , Wang Nana , Bai Xiaoran , Wang Dongmei , Ye Jingjing , Lu Fei , Ji Chunyan 
Published: November 2022

Abstract
Background: Acute myeloid leukemia (AML) is the most common acute leukemia in adults with a high mortality rate. Immunogenic cell death (ICD) plays a crucial role in activation of adaptive immune response and may contribute to the efficacy of cancer immunotherapy. However, the relationship between ICD and AML prognosis is unveiled.
Methods and materials: A Pearson correlation analysis was utilized to identified ICD-related lncRNAs. Univariate cox regression analysis and subsequent LASSO analysis were performed to construct an ICD-associated lncRNAs signature. Survival analysis, ROC analysis, univariate and multivariate cox regression were applied to assess the predictive capacity and evaluate prognostic value for AML patients. ESTIMATE, CIBERSOT, and single sample gene set enrichment analysis (ssGSEA) algorithms were performed to estimate the immune infiltration landscape. Enrichment analysis was used to investigate the biological processes and pathways of the ICD-associated lncRNAs.
Results: A predictive risk signature was constructed based on seven ICD-associated lncRNAs (AFF2−IT1, AL5924292, LINC00987, MIR133A1HG, AC022182.2, NORAD and AC244502.1). High risk score was verified as an independent prognostic predictor for poor clinical outcomes in AML patients. Notably, we observed a remarkable difference in immune infiltration landscape, immunotherapy response and drug susceptibility related to risk stratification. In addition, functional enrichment analysis established that immune-related signaling pathways might mediate the role of ICD-related lncRNAs in AML.
Conclusions: The signature based on ICD-related lncRNAs can provide guidance to the accurate prediction of AML prognosis and also offer a novel perspective for individualized and precise treatment strategies for AML patients.
Synergistic Inhibition of Candida albicans Growth by Plant Extract Combinations
Authors: Yoon Jeemin , Kim Tae-Jong 
Published: November 2022

Abstract
Many skin diseases are caused by microbial infections. Representative pathogenic fungus and bacterium that cause skin diseases are Candida albicans and Staphylococcus aureus, respectively. In this study, among methanol extracts of 240 edible plants, C. albicans, S. aureus, and Malassezia pachydermatis, a fungus that causes animal skin diseases, were killed by extracts of 10 plants: Acori Gramineri Rhizoma, Angelicae Tenuissimae Radix, Cinnamomi Cortex, Cinnamomi Ramulus, Impatientis Semen, Magnoliae Cortex, Moutan Cortex Radicis, Phellodendri Cortex, Scutellariae Radix, and Syzygii Flos. By evaluating the synergistic antifungal activities against C. albicans using all 45 possible combinations of these 10 extracts, five new synergistic antifungal combinations were identified. By utilizing the selected extracts and five combinations with synergistic antifungal effects, this work provides materials and methods to develop new and safe methods for treating candidiasis using natural products.
Comparison of unipedicular and bipedicular kyphoplasty for the treatment of osteoporotic vertebral compression fractures in the lower lumbar spine
Authors: Qian Yunfan , Li Yimin , Shen Guangjie , Tang Chengxuan , Zhong Xiqiang , He Shaoqi 
Published: November 2022

Abstract

BackgroundBoth unipedicular and bipedicular approaches for percutaneous kyphoplasty are reportedly effective for the treatment of osteoporotic vertebral compression fractures (OVCFs). However, most of the literature has reported on thoracolumbar fractures, with few reports describing the treatment of the lower lumbar spine.This study compared the clinical and radiological results between the unipedicular versus bipedicular approachesfor percutaneous kyphoplasty for the treatment of osteoporotic vertebral compression fractures.MethodsWe retrospectively reviewed the records of 160 patients who underwent percutaneous kyphoplasty for lower lumbar (L3­–L5) osteoporotic vertebral compression fractures between January 2016 and January 2020. Patient characteristics, surgical outcomes, operation time, blood lose, clinical and radiological features, and complications were compared between the two groups. Cement leakage, height restoration, and cement distribution were calculated from the radiographs. Visual pain analog scale (VAS), the Oswestry disability index (ODI), were calculated before surgery and immediately and 2 years after surgery.ResultsThe results showed significantly improved the visual analog scale (VAS) score, Oswestry Disability Index (ODI) score, and vertebral height restoration in each group (p<0.05), with no significant differences between the two groups (p>0.05). The mean operation time and blood lose in the unipedicular group was less than that in the bipedicular group(p<0.05). Different types of bone cement leakage were observed in both groups. The leakage rate was higher in the bipedicular group than in the unipedicular group. Patients in the bipedicular group showed greater improvement in bone cement distribution compared to that in patients in the unipedicular group (p<0.05).ConclusionsDespite the relatively worse cement distribution, unipedicular approach PKP is a safe and minimally invasive surgical method that has the advantages of short operation time, less blood loss and radiation exposure compared to bipedicular approach PKP for OVCFs.
Microstructure and mechanical properties of LaB6/Ti-6Al-4V composites fabricated by selective laser melting
Authors: He Dongdong , Wang Hui , Chen Xinxi , Huang Weidong , Qin Shuaishuai , Wang Yu 
Published: November 2022

Abstract
In this study, TiB+La2O3/Ti-6Al-4V composites were successfully prepared by in-situ reaction using selective laser melting technology. The effect of LaB6 content on the fabrication quality, microstructure evolution and mechanical properties of the composite samples was investigated. The results show that the relative density of the sample gradually decreases from 98.56% to 96.57% as the LaB6 content increases. ​During the printing process, the microstructure of the sample gradually aggregates due to the influence of the Marangoni flow and grows from a discrete needle-like structure to a dendritic structure with increasing LaB6 content, eventually developing into a cell-like structure. ​After adding LaB6 to titanium alloys, the hardness, wear resistance, and tensile strength of the composite are enhanced due to grain refinement strengthening, dispersion strengthening, and solid solution strengthening, while the plasticity of the material is lost. The 3wt% LaB6 sample has the most significant strengthening effect. Compared to the 0wt% LaB6 sample, the hardness is increased by 35.71%, the wear volume is reduced by 47.5%, the tensile strength is increased by 14.5%, and the elongation after fracture is reduced by 37.2%. The 0.5wt% LaB6 sample has the best formability and is most suitable for production practice.
Various Expressions over novel k-µ/Inverse Gamma LOS Shadowed Fading
Authors: Gadi Shilpi , Singh S Pratap , Kumar Sanjay , Singh Ghanshyam , Baghel Anurag Singh 
Published: November 2022

Abstract
This manuscript proposes novel and a very general shadowed k-μ fading model for charaterizing the realistic Line of Sight (LOS) propagation scenarios of 5G and beyond. In this model, the received signal is assumed to be composed of the clustering of multipath components. In each of these clusters, shadowing of the dominant component is represented by the inverse Gamma distribution. First of all, mathematically-tractable expressions of probability density function (PDF) and moment-generating function (MGF) of the k-μ/inverse Gamma LOS-shadowed fading model are obtained. The proposed channel model is validated by reproducing the well-established fading distributions such as Rayleigh, Rice and Nakagami-m under light shadowing conditions and LOS-shadowed fading distributions such as the k-µ/Gamma and Abdi’s Rice/Gamma model under heavy shadowing conditions numerically. The proposed PDF is further utilized to derive the expressions for channel capacity under four adaptation policies named as optimal rate adaptation with constant transmit power (C ora ), optimal power and rate adaptation (C opra ), channel inversion with fixed rate (C cifr ) and truncated channel inversion with fixed rate (C tifr ). Furthermore, analytical expressions for outage probability (OP) and error probabilities under different modulation schemes are derived. The analytical expressions are investigated under light, moderate, and heavy shadowing environments used extensively in literature.
Minimal Correlated Pilot aided Channel Estimation for MIMO STC-GFDM System
Authors: VINAYAKAMOORTHI NIVETHA , VAIYAMALAI SUDHA 
Published: November 2022

Abstract
Generalized Frequency Division Multiplexing (GFDM) is a nonorthogonal flexible multi-carrier modulation. The non-orthogonal nature leads to inter-symbol interference and inter-carrier interference. These interferences degrade the bit error rate (BER) performance, it can be improved by deploying linear detector and maximal ratio combining based space time coded (STC) GFDM. These interferences also lead to pilot contamination. The minimal correlated pilot selection method is proposed to enhance the channel estimation performance for MIMO STC-GFDM. The BER performance is compared with different pilot arrangements. The LMMSE based channel estimation performance is compared with LS based channel estimation. In addition to that, the BER performance of ZF based GFDM detector is compared with LMMSE based GFDM detector and the computational complexity is also analysed.
A Novel Key Hole Shaped Slot Millimetre-wave Antenna Array for 5G Mobile Applications
Authors: Khan Muhammad Irshad , Khan Muhammad Kabir , Rahman Saeed UR , Khattak Muhammad Irfan 
Published: November 2022

Abstract
This work presents a novel microstrip patch antenna for future 5G mobile applications having resonant frequencies of 38, 47.7, 54.4 and 72GHz having bandwidth of 3, 3, 2 and 2GHz respectively. The main target frequency of over research was 38 GHz. This design is achieved using Rogers RT5880 (Lossy) substrate having standard thickness of 0.508mm with 2.2 dielectric constant and loss tangent of 0.0013. Substrate of dimensions 6 × 6mm2 and patch of dimensions 2 × 2mm2 are used in the proposed antenna design. The excitation method to energize the antenna system i.e. 1×4 and 2×2 linear array is tapered line feed with spacing of 4mm to the adjacent unit cells respectively to achieve 12dB gain for mobile applications. 3D modelling tool, the CST is used for the simulation purpose. A reasonable bandwidth, directivity and efficiency have also been achieved for the proposed design making a strong contender for competition in the market at these mm-waves frequencies. At the end SAR analysis have been performed to evaluate the antenna for possible wearable applications in the field biomedical sensors, implants and hand-held systems. The SAR values were found to be complying to the standards of FFC and CENELEC, making the design suitable for the wearable applications.
Structures and transport properties of supercritical SiO2-H2O and NaAlSi3O8-H2O fluids
Authors: Sun Yicheng , Liu Xiandong , Lu Xiancai 
Published: November 2022

Abstract
Speciation and transport properties of supercritical fluids is critical for understanding their behavior in the Earth’s interior. Here, we report a systematic first principles molecular dynamics simulation study of the structure, speciation, self-diffusivity (D), and viscosity (η) of SiO2 melt, NaAlSi3O8 melt, SiO2-H2O and NaAlSi3O8-H2O fluids at 2000–3500 K with 0–70 wt% H2O. Our calculations show that as the water content increases, the proportion of Q0 species (Qn species, where n is the number of bridging oxygens in an individual Si/Al-O polyhedra) increases while Q4 decreases. The proportions of Q1, Q2, and Q3 species first increase and then decrease with increasing water content. The diffusivity sequence for the supercritical SiO2-H2O fluids is DH &gt;DO &gt;DSi, and for the supercritical NaAlSi3O8-H2O fluids, on the whole, is DNa ≈ DH &gt;DO &gt;DAl ≈ DSi. The viscosities of the two systems decrease drastically at the beginning of the increase in water content, and then decrease slowly. We demonstrate that the exponential decrease in the viscosity of polymerized silicate melt with increasing water content is due to a sharp decrease in the proportion of Q4 species and increase in Si-O-H. The typical structural feature of supercritical fluid is that it contains a large amount of easy-to-flow partially polymerized or depolymerized protonated silicate units, which leads to a low viscosity while being enriched in silicate. This feature provides supercritical fluids the potential to transport elements that are hard to migrate in aqueous fluids or hydrous silicate melts, such as high field strength elements.
Evaluating water availability under changing climate scenarios in the Woybo catchment, Ethiopia
Authors: Ukumo Tigistu Yisihak , Edamo Muluneh Legesse , Abdi Dawit Midagsa , Derebe Melkamu Ateka 
Published: November 2022

Abstract
This study aims to evaluate water availability under changing climate scenarios in the Woybo catchment, Ethiopia. The bias-corrected outputs of multiple climate models’ ensemble mean were employed for the 2050 and 2080s against the reference period (1976–2005) under representative concentration pathways (RCPs) for both RCP4.5 and RCP8.5 scenarios. A semi-distributed physically based Hydrologic Engineering Center of Hydrologic Modeling System (HEC-HMS) was used to perform rainfall–runoff simulation. The projected rainfall and temperatures of the watershed will increase in the far future. The predictions from ensemble means of multiple climate models indicated that rainfall of the watershed will likely increase by 25% in the 2050s and 19% in the 2080s under RCP4.5 and RCP8.5, respectively. The discharge projection for the ensemble mean of all climate models shows an increment up to 20 and 19% under RCP 4.5 and RCP8.5, respectively, in the 2050s, whereas it will decline up to 15 and 28% in 2080s, under RCP4.5 and RCP8.5, respectively. This research plays a great role to reduce the impacts of changing climate for sustainable water resources management.