bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Novel Linguistic Decision Making Method Based on the Voting Model for Large-Scale Linguistic Decision making
Authors: Pei Zheng , Yan Li 
Published: April 2021

Abstract
The notable characteristic of large-scale linguistic decision making problems is that there are so many decision makers provide linguistic assessments according to fuzzy linguistic representation models. In real world applications, fuzzy linguistic terms mean different things for different people, it means that linguistic assessments based on linguistic representation models may be simultaneous in the same large-scale linguistic decision making problems. To this end, a novel linguistic decision making method based on the voting model is proposed in the paper, which can be utilized to deal with large-scale linguistic decision making problems with linguistic assessments based on multi linguistic representation models. In large-scale linguistic decision process, evaluation-based voting is defined and multi linguistic decision matrix is designed to represent multi linguistic assessments provided by many decision makers according to linguistic representation models, properties of the decision matrix are analysed to show that linguistic assessments based on linguistic representation models can be simultaneously represented. Based on multi linguistic decision matrix, a new linguistic decision making framework is developed to deal with large-scale linguistic decision making problems with multi linguistic assessments, in which normalization of multi linguistic decision matrix and trust degrees of linguistic terms are contained, more important, based on trust degrees of linguistic terms and 2-tuple fuzzy linguistic aggregation operators, an uniform fusion method of multi linguistic assessments is proposed to aggregate multi linguistic assessments of large-scale linguistic decision making problems. Finally, user experiences of shared bikes, which is a large-scale linguistic decision making problem in real-world applications, is employed to show the new decision making framework and the uniform fusion method of multi linguistic assessments, furthermore comparison with existing linguistic decision making methods are analyzed in the example, it seems that multi linguistic decision matrix and the uniform fusion method are useful and effective tools to deal with large-scale linguistic decision making problems with multi linguistic assessments.
Specialized Dermatological - Rheumatological Patient Management Improves Diagnostic Outcome and Patient Journey: A Four-Year Analysis
Authors: Ziob Jana , Behning Charlotte , Brossart Peter , Bieber Thomas , Wilsmann-Theis Dagmar , Schäfer Valentin Sebastian 
Published: April 2021

Abstract
Background:Management of psoriatic arthritis (PsA) and other rheumatological diseases requires an interdisciplinary approach involving dermatologists and rheumatologists. The aim of the study was to analyze the specialized dermatological-rheumatological management before and after foundation of a PsA center. Methods:A retrospective cohort study of all dermatology-rheumatology consultations during two periods was conducted. Period one, from April 1st, 2016 to February 28th, 2018 versus period two, from March 1st, 2018 to January 31st, 2020, after foundation of a PsA center. Clinical data on patient characteristics including psoriasis subtypes, clinical symptoms and signs, disease activity scores, classification criteria and comorbidities as well as patient journey were extracted and analyzed.Results: 404 consultations were studied. Close collaboration in a PsA center lead to a relevantly shortened patient journey concerning rheumatological complaints: period 1: median (IQR): 36.0 (10.0-126.0) months, period 2: median (IQR): 24.0 (6.0-60.0) months. Established scores and classification criteria such as GEPARD or CASPAR did not assist in diagnosis of PsA. Arthralgia (p=0.0407), swollen joints (p=0.0151), morning stiffness (p=0.0451) and dactylitis (p=0.0086) helped to distinguish between osteoarthritis and PsA.Conclusions: Clinical signs and symptoms, scores and classification criteria usually assessed were less helpful than expected in diagnosis of PsA and other rheumatological diseases. Close collaboration in a specialized PsA center yielded the fastest way of diagnosis.
DeepBeam – A Machine Learning Framework For Tuning The Primary Electron Beam of The PRIMO Monte Carlo Software
Authors: Tabor Zbisław , Kabat Damian , Waligórski Michael 
Published: April 2021

Abstract
BackgroundAny Monte Carlo simulation of dose delivery using medical accelerator-generated megavolt photon beams begins by simulating electrons of the primary electron beam interacting with a target. Because the electron beam characteristics of any single accelerator are unique and generally unknown, an appropriate model of an electron beam must be assumed before MC simulations can be run. The purpose of the present study is to develop a flexible framework with suitable regression models for estimating parameters of the model of primary electron beam in simulators of medical linear accelerators, basing on real reference dose profiles measured in a water phantom. MethodsAll simulations were run using PRIMO MC simulator. Two regression models for estimating the parameters of the simulated primary electron beam, both based on machine learning, were developed. The first model applies Principal Component Analysis to measured dose profiles in order to extract principal features of the shapes of the these profiles. The PCA-obtained features are then used by Support Vector Regressors to estimate the parameters of the model of the electron beam. The second model, based on deep learning, consists of a set of encoders processing measured dose profiles, followed by a sequence of fully connected layers acting together, which solve the regression problem of estimating values of the electron beam parameters directly from the measured dose profiles. Results of the regression are then used to reconstruct the dose profiles, basing on the PCA model. Agreement between the measured and reconstructed profiles can be further improved by an optimization procedure resulting in the final estimates of the parameters of the model of the primary electron beam. These final estimates are then used to determine dose profiles in MC simulations.ResultsAnalysed were a set of actually measured (real) dose profiles of 6 MV beams from a real Varian 2300 C/D accelerator, a set of simulated training profiles, and a separate set of simulated testing profiles, both generated for a range of parameters of the primary electron beam of the Varian 2300 C/D PRIMO simulator. Application of the two-stage procedure based on regression followed by reconstruction-based minimization of the difference between measured (real) and reconstructed profiles resulted in achieving consistent estimates of electron beam parameters and in a very good agreement between the measured and simulated photon beam profiles.ConclusionsThe proposed framework is a readily applicable and customizable tool which may be applied in tuning virtual primary electron beams of Monte Carlo simulators of linear accelerators. The codes, training and test data, together with some trained models and readout procedures, are freely available at the site: https://github.com/taborzbislaw/DeepBeam.
A signature of Ten Chromodomain Helicase DNA (CHD) Genes Related LncRNAs Predicts Overall Survival in Gastric Cancer Patients
Authors: Wang xiaodong , Li yaxian , Lu yida , Li Yongxiang 
Published: April 2021

Abstract
Background: Gastric cancer (GC) is one of the most common tumors in the world and is often found at an advanced stage. Gene mutations and changes in lncRNA expression often led to the occurrence of GC. In this study, we explored the function of Chromodomain Helicase DNA (CHD) genes and a multi-gene prognostic model was established for its co-expressed lncRNA.Methods: We used the "Limma" package of R software to analyze the expression differences of CHDs genes. Use Kaplan-Meier curve to plot the relationship between risk score and patient survival time. Receiver operating characteristic (ROC) curve was used to describe the reliability of the model. The data used is obtained from The Cancer Genome Atlas (TCGA) database and CellMiner database. Results: We found that CHDs gene mutations had significant statistical differences with tumor mutation load and were involved in biological functions such as DNA winding and transcription. 10 CHDs gene-related lncRNAs were used to establish a prognosis model for GC patients. Univariate and multivariate Cox regression analysis proved that risk score could be an independent prognostic factor. Conclusion: In our study, we developed a novel prognostic model using 10 CHDs-related lncRNAs to predict individualized survival in patients with GC.
Forced-self-excited System of Iced Transmission Lines under Planar Harmonic Excitations
Authors: Liu Xiaohui , Yang Shuguang , Min Guangyun , Sun Ceshi , Liang Haobo , Zou Ming , Wu Chuan , Cai Mengqi 
Published: April 2021

Abstract
This paper is concerned with the analysis of the self-excited vibrations and forced vibrations of the iced transmission lines. By introducing the external excitation load, the effect of dynamic wind on the nonlinear vibration equations of motion is reflected by vertical aerodynamic force. The approximate analytical solution of the non-resonance, and the amplitude frequency response relation of the principal resonance of the forced self-excited system are obtained by using the multiple scale method. With the increase in excitation amplitude, the nonlinearity of the system is enhanced, and the forced-self-excited system experiences three vibration stages (self-excited vibration, the superposition form of self-excited vibration and forced vibration, forced vibration controlled by nonlinear damping). Among them, the accuracy of the approximate analytical solution decreases with the increase of the nonlinear strength. And the excitation amplitude is greater than the critical value, the quenching phenomenon appear in the forced-self-excited system, and the discriminant formula is derived in this paper. In addition, the frequency of excitation term determines the vibration form of the system. The principal resonance, super-harmonic resonance and sub-harmonic resonance of the forced-self-excited system are analyzed by using different excitation frequencies. Compared with the principal resonance and the harmonic resonance, the meaningful transition from periodic response to quasi periodic response is easy to appear with the condition of the 1/3-order sub-harmonic and the 3-order super-harmonic. The conclusions would be helpful to the practical engineering of the iced transmission lines. More important, as a combination of Duffing equation and Rayleigh equation, the forced-self-excited system also has high theoretical research value.
The pathways from perceived discrimination to self-rated health among the Chinese diaspora during the COVID-19 pandemic: investigation of the roles of depression, anxiety, and social support
Authors: Chen Youli , Wang Zicong , Dong Weizhen , Xu Jia Huei Chen , Wu Sizhe Ji , Zhang Xiangyang , Chen Chun 
Published: April 2021

Abstract
Background. Research indicates the adverse impacts of perceived discrimination on health, and discrimination inflamed by the COVID-19 pandemic, a type of social exclusion, could affect the well-being of the Chinese diaspora. The relationship and pathways of perceived discrimination’s effect on health among the Chinese diaspora in the context of the pandemic were examined to contribute to the literature on discrimination in this population under the global public health crisis.Methods. We analysed data from 705 individuals of Chinese descent residing in countries outside of China, who participated in a cross-sectional online survey carried out between April 22 and May 9, 2020. This study utilizes a structural equation model (SEM) to evaluate both direct and indirect effects of perceived discrimination on self-rated health (SRH) and assessed the mediating roles of psychological distress (namely, anxiety and depression) and social support from family and friends. Results. In this online sample comprised predominantly of young adults and those of relatively high socioeconomic status, this study confirmed the positive and direct effect of perceived discrimination on poor SRH but found the indirect effect was mainly mediated by depression. The association between anxiety and SRH was not significant in this SEM, while a higher level of social support from family leads to better SRH, and the level of social support from friends negatively predicted SRH. Conclusions. Our findings suggest discrimination negatively affected the well-being of the Chinese diaspora, and depression acted as a major mediator between the discrimination-health relationship. Therefore, interventions for reducing discrimination in order to preserve the well-being of the Chinese diaspora are necessary, and that prompt intervention to address depression may partially relieve the disease burden caused by the surge of discrimination.
Five-Years Review of Colorectal Carcinoma in Iran-Guilan During 2005-2010; An Epidemiologic Study.
Authors: Tolouei Mohammad , Aghajanzadeh Manouchehr , Taheri Morteza 
Published: April 2021

Abstract
Purpose: Different factors including race, ethnicity, nutritional, environmental, and socioeconomic factors affect the prevalence of CCC and result in special epidemiologic features in the different geographic locations throughout the world.Methods: This survey was a cross-sectional retrospective descriptive study that investigated all of the operated patients with a definite diagnosis of CCC from March of 2005 to March of 2010 in the Guilan province of Iran.Results: Of a total of 311 patients, 55.3% were male and 44.7% female. The mean age was 58.91±14.29 years old. The mean average age was 60.76±4.38 years for men and 56.62±13.88 years for women. 159 patients had rectum carcinoma and 152 patients had colon carcinoma.The duration of the symptoms was less than six months in 56.9% of the patients and more than six months in 34.1%. The most common primary site of the tumor was the rectum (159 patients). The most common symptom was rectorrhagia. In the patients with FAP, the mean age was 26 years lower than patients without FAP.The mean Hemoglobin level at planning for surgery was 11.37±2.02 with arrange of 4.7 to 16.4 mg/dl.Conclusion: Considering the ever-increasing the disease and decrease in the age of affliction reported in this study, it is considered to the evaluating to the risk factors, survey the more epidemiologic study, promote the public and special screening program, and timely therapeutic intervention. Moreover, considering the high rate of rectosigmoid cases, it seems that fiber optic sigmoidoscopy has an important role in the screening and diagnosis of the disease.
Establishment of a Murine Model of Acute-on-Chronic Liver Failure with Multi-organ Dysfunction
Authors: Nautiyal Nidhi , Maheshwari Deepanshu , Kumar Dhananjay , Kumari Rekha , Gupta Suchi , Sharma Sachin , Mohanty Sujata , Parasar Anupama , Bihari Chhagan , Biswas Subhrajit , Rastogi Archana , Maiwall Rakhi , Kumar Anupam , Sarin Shiv Kumar 
Published: April 2021

Abstract
Background and Aims: Acute-on-chronic liver failure (ACLF) is a distinct clinical entity with high probability of organ failure and mortality. Experimental models of ACLF are needed to understand the pathophysiology and natural course of the disease.Methodology and Results: To mimic the syndrome of ACLF, chronic liver disease was induced by intra-peritoneal administration of carbon tetrachloride (CCl4) for 10 weeks, followed by acute injury with acetaminophen (APAP) and lipopolysaccharide (LPS) administration. Blood, ascitic fluid and organs were collected to study cell death, regeneration and fibrosis. APAP/LPS induced second insult to the CCL4 animals showed progressive and significant increase in bilirubin (p < 0.05), prothrombin time (P < 0.0001) and blood ammonia (p < 0.001) post-acute injury similar to human ACLF. Ascites was noticed by day 11 (median serum-ascites albumin gradient, SAAG ((1.2(1.1–1.3) g/dL) suggestive of portal hypertension. At 24 hours post-APAP/LPS infusion, the liver tissue showed increased hepatocyte ballooning and endothelial cell TUNEL positivity. This was followed by progressive hepatocyte necrosis from perivascular region at day 7 to lobular region by day 11 acute injury. They also showed regression in fibrous septa (p < 0.005) in comparison to cirrhosis. A progressive loss of hepatic regeneration (proliferating cell nuclear antigen; p < 0.005) was also seen following APAP/LPS injury. These animals also showed a significant increase in serum creatinine (p < 0.05) levels and renal tubular injury by day 11 which was not present in cirrhotic animals.Conclusion: The CCL4/APAP/LPS (CALPS) model of ACLF mimics the clinical, biochemical and histological features of ACLF with demonstrable progressive hepatocyte necrosis, liver failure, impaired regeneration, development of portal hypertension and organ dysfunction in an animal with chronic liver disease.
The Long-Term Effect of Exposure to Particulate Matter Air Pollution on the Incidence of Myocardial Infarction: A Systematic Review and Meta-Analysis
Authors: Khosravipour Masoud , Safari-Faramani Roya , Rajati Fatemeh , Omidi Fariborz 
Published: April 2021

Abstract
This study systematically reviews the long-term impact of exposure to particulate matter (PM) air pollution with aerodynamic diameter ≤ 10 µm on the incidence of myocardial infarction (MI). The relevant databases were searched with appropriate keywords on February 29, 2020. A random-effects model through a generic inverse-variance method was used to calculate the pooled hazard ratio (HR) and 95% confidence interval (CI) of MI. The number of 17 cohort studies with more than 18 million participants and 800,000 cases of MI were included. A significantly higher risk of MI was observed per 1 µg/m3 increment of PM with aerodynamic diameter ≤ 10 µm (HR= 1.02,95 % CI = 1.01, 1.03). Subgroup analysis according to the study population indicates subjects with cardiovascular diseases history had a significantly greater risk of MI per 1 µg/m3 increase in PM with aerodynamic diameter ≤ 10 µm level (HR= 1.05,95% CI= 1.01, 1.08). Subgroup analysis according to aerodynamic diameter of PM showed only a significant stronger risk of MI per 1 µg/m3 increase in PM with aerodynamic diameter < 2.5 µm (HR= 1.01,95% CI= 1.00, 1.02). The pooled result confirms a significant association between the long-term exposure to PM air pollution and the developing of MI.
Immunotherapy-on-chip Against an Experimental Sepsis Model
Authors: Zerva Ioanna , Bakela Katerina , Athanassakis Irene 
Published: April 2021

Abstract
Lipopolysaccharide (LPS) is commonly used in murine sepsis models, which are largely associated with immunosuppression and collapse of the immune system. After adapting the LPS treatment to the needs of locally bred BALB/c mice, the present study explored the protective role of Micrococcus luteus peptidoglycan (PG) pre-activated vaccine-on chip technology in endotoxemia. The established protocol consisted of five daily intraperitoneal injections of 0.2mg/g LPS, allowing longer survival, necessary for a therapeutic treatment application. A novel immunotherapy technology, the so-called vaccine-on-chip consists of a 3-dimentional laser micro-textured silicon (Si)-scaffold loaded with macrophages and activated in vitro with 1μg/ml PG, which has been previously shown to exert a mild immunostimulatory activity upon subcutaneous implantation. The LPS treatment significantly decreased CD4+ and CD8+ cells, while increasing CD11b+, Gr1+, CD25+, Foxp3+ and class II+ cells. These results were accompanied by increased arginase-1 activity in spleen cell lysates and C-reactive protein (CRP), procalcitonin (PCT), IL-6, TNF-a, IL-10 and IL-18 in the serum, while acquiring severe sepsis phenotype as defined by the murine sepsis scoring. The in vivo application of PG pre-activated implant significantly increased the percentage of CD4+ and CD8+ cells, while decreasing the percentage of Gr1+, CD25+, CD11b+, Foxp3+ cells and arginase-1 activity in the spleen of LPS-treated animals, as well as all serum markers tested, allowing survival and rescuing the severity of sepsis phenotype. In conclusion, these results reveal a novel immunotherapy technology based on PG pre-activated micro-texture Si-scaffolds in LPS endotoxemia, supporting thus its potential use in the treatment of septic patients.
Identification of potential Zinc deficiency responsive genes and regulatory pathways in rice genotypes by Weighted Gene Co-expression Network Analysis
Authors: Muvunyi Blaise Pascal , Lu Xiang , He Sang , Ye Guoyou 
Published: April 2021

Abstract
BackgroundZinc (Zn) malnutrition has been linked to serious health concerns in humans. Targeting genetic biofortification of rice grain Zn can efficiently improve the global Zn nutritional status. To genetically enhance rice grain Zn content, the genetic and molecular mechanisms of Zn deficiency response need to be elucidated. Here, Differential Gene Expression Analysis (DGEA) and Weighted Gene Coexpression Analysis (WGCNA) were established to identify modules of coexpressed genes, the most preserved genes and molecular pathways regulating Zn deficiency response in rice varieties. ResultsTwelve modules of coexpressed genes were obtained by WGCNA using 1649 differentially expressed genes (DEGs) from our DGEA and 2121 Zn genes from earlier studies. Three modules (TTA-M, TRA-M and CA-M) were judged the most relevant for Zn deficiency based on their richness in the well-recognized Zn deficiency responsive (ZDR) genes and molecular pathways. 96 (17%), 188 (47.6%) and 96 (24%) genes from TTA-M, TRA-M and CA-M modules respectively, were significantly expressed in the DGEA. These coexpressed DEGs (CoDEGs) were considered as the most preserved Zn deficiency responsive genes. Of the well-known ZDR genes, only OsZIP8, OsZIP10, OsMT1a and OsNAAT1 were preserved. Functional annotations for all CoDEGs from the identified ZDR modules showed that glutathione metabolism and biosynthesis of secondary metabolites were the most quickly upregulated molecular pathways. Lastly, a biology-informed gene-gene interaction network analysis (GGIN) indicated that CoDEGs including OsLSI3, OsWOX11, OsNRT1.1B, OsPSK5, OsSWN6 and OsMID1 strongly interact with the recognized ZDR genes in the ZDR modules. Curiously, these CoDEGs were previously validated for other economic traits in rice. ConclusionFindings from this study provide comprehensive insights into the molecular mechanisms of Zn deficiency response in rice and may facilitate gene and pathway prioritization, to enhance Zn use efficiency (ZUE) and Zn biofortification in rice.
Characteristics and management of patients with hemophagocytic lymphohistiocytosis masquerading as liver failure
Authors: You Yahong , Wang Jingshi , Wang Zhao 
Published: April 2021

Abstract
Liver failure (LF) is a lethal condition characterized by jaundice, coagulation disorders. patients with LF carry a high mortality. Hemophagocytic lymphohistiocytosis (HLH) is established as a rare cause of LF. However, the clinical course of HLH may not be familiar to most hepatologist. We aimed to decipher the characteristics of these patients, to provide experience in the diagnose and management of patients with HLH masquerading as LF. Nine patients initially diagnosed with LF and finally developed HLH between January 2017 and October 2020 were retrospectively included. 78% cases developed LF with no discernable causes. Unexplained cytopenia and recurrent fever with LF may be a red flag for suspicion of HLH. Besides, female maybe predispositional to HLH in the context of LF. Modified DEP regimen was effective to control the fatal inflammatory state, all 9 cases achieved response after only one course. Further, three courses of treatment could substantially make the blood count and liver function return to normalcy, and without recurrence of HLH.