bluuebunny/crossref_metadata_2025_split huggingface dataset:
A small allelic variant in donor class I MHC is sufficient to induce alloantibodies following transfusion of standard or pathogen‐reduced platelets in mice
Authors: Jackman Rachael P. , Heitman John W. , Muench Marcus O. 
Published: March 2020

Background and objectivesAlloimmunization targeting major histocompatibility (MHC) antigens is common following platelet transfusion. Pathogen reduction of platelets can block alloimmunization to MHC in mice and induce partial antigen‐specific tolerance to subsequent transfusions. This study utilized small allelic variants to evaluate the relative contributions of class I and class II MHC to the alloresponse against untreated or pathogen‐reduced platelets.Materials and methodsC57BL/6 (B6) Kbm1 and B6 IAbm12 mice with small variants in the class I Kb and class II IAb alleles, respectively, were used as platelet donors for wild‐type B6 recipients. Both untreated and pathogen‐reduced platelet‐rich plasma (PRP) transfusions were evaluated for immunogenicity by measuring antibody responses and ex vivo cytokine production.ResultsBoth the Kbm1 and IAbm12 alleles induced antibody responses, though the response to Kbm1 was greater. Pathogen reduction blocked the antibody responses to IAbm12, but not to Kbm1. Both the Kbm1 and IAbm12 alleles primed ex vivo cytokine responses that were blocked with pathogen reduction, though responses to IAbm12 were broader and larger (Kbm1 responses: IFN‐γ, TNFα, and MIP‐1β; IAbm12 responses: IFN‐γ, TNFα, IL‐1β, IL‐10, IL‐13, and GM‐CSF). Pathogen‐reduced Kbm1 PRP did not appear to induce any tolerance to subsequent untreated Kbm1 PRP transfusions.ConclusionMinor allelic variants in both the class I and class II MHC are capable of inducing an alloresponse to transfusion. The Kbm1 PRP induced alloantibodies even with pathogen reduction and did not show signs of inducing the partial tolerance to subsequent transfusions observed with a larger MHC mismatch.
Period-1 to Period-8 Motions in a Nonlinear Jeffcott Rotor System
Authors: Xu Yeyin , Luo Albert C. J. 
Published: March 2020

Abstract
In this paper, a bifurcation tree of period-1 to period-8 motions in a nonlinear Jeffcott rotor system is obtained through the discrete mapping method. The bifurcations and stability of periodic motions on the bifurcation tree are discussed. The quasi-periodic motions on the bifurcation tree are caused by two Neimark bifurcations (NBs) of period-1 motions, one NB of period-2 motions, and four NBs of period-4 motions. The specific quasi-periodic motions are mainly based on the skeleton of the corresponding periodic motions. One stable and one unstable period-doubling (PD) bifurcations exist for the period-1, period-2, and period-4 motions. The unstable PD bifurcation is from an unstable period-m motion to an unstable period-2m motion, and the unstable period-m motion becomes stable. Such an unstable PD bifurcation is the third order source pitchfork bifurcation. Periodic motions on the bifurcation tree are simulated numerically, and the corresponding harmonic amplitudes and phases are presented for harmonic effects on periodic motions in the nonlinear Jeffcott rotor system. Such a study gives a complete picture of periodic and quasi-periodic motions in the nonlinear Jeffcott rotor system in the specific parameter range. One can follow the similar procedure to work out the other bifurcation trees in the nonlinear Jeffcott rotor systems.
Assessment of RANS-Based Turbulence Models for Buoyancy-Influenced Forced Convection on a Heated Vertical Surface
Authors: Clifford Corey E. , Kimber Mark L. 
Published: March 2020

Abstract
Over the past 50 years, an industry-wide shift within the nuclear community has led to increased utilization of computational fluid dynamics (CFD) to supplement nuclear reactor safety (NRS) analyses. Although several “best practice” guidelines exist for individual safety evaluations, comprehensive validation efforts against benchmark-quality experimental data must occur to ensure the accuracy of these numerical models. One such area of interest to the nuclear engineering community is the capacity of computational models to predict heat transfer across a spectrum of buoyancy conditions. In this vein, the present investigation provides a robust assessment of 13 different Reynolds-averaged Navier–Stokes (RANS) turbulence models and their ability to predict thermal system response quantities (SRQs) in buoyancy-influenced forced convection conditions. Using experimental data from the rotatable buoyancy tunnel (RoBuT) as the basis of comparison, the predictive capabilities of each turbulence model are evaluated in both buoyancy-aided and opposed configurations. Thermocouple measurements are mapped to the boundaries of the computational models to permit direct comparisons of various SRQs. ASME standards are used to quantify numerical discretization uncertainties in the modeled results, while a Monte Carlo procedure is developed to account for input uncertainty. Generally, the collection of turbulence models fails to accurately predict thermal SRQs in the buoyancy-aided configuration, while analogous errors in streamwise velocity are observed in the buoyancy-opposed orientation. Both modeling errors are attributed to improper predictions of the turbulent viscosity, which will need to be rectified prior to wide-scale adoption for nuclear reactor safety calculations.
Association between the triglyceride to high-density lipoprotein cholesterol ratio and the risk of type 2 diabetes mellitus among Chinese elderly: the Beijing Longitudinal Study of Aging
Authors: Zheng Deqiang , Li Haibin , Ai Feiling , Sun Fei , Singh Manjot , Cao Xue , Jiang Jiajia , He Yan , Tang Zhe , Guo Xiuhua 
Published: March 2020

ObjectiveTime-dependent covariates are generally available as longitudinal data were collected periodically in the cohort study. To examine whether time-dependent triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio could predict the future risk of type 2 diabetes mellitus (T2DM) and assess its potential impact on the risk of T2DM incidence.Research design and methodsThis study enrolled 1460 participants without T2DM aged 55 or above in 1992 in the Beijing Longitudinal Study of Aging during 25 years. The questionnaire data were collected in nine surveys from 1992 to 2017. Physical examination and blood laboratory tests including TG and HDL-C concentrations were measured in five surveys. Incident T2DM cases were confirmed via a self-reported history of T2DM or the fasting plasma glucose level.Results119 new cases of T2DM were identified. In the Cox regression analysis with time-dependent TG/HDL-C ratios and covariates, the adjusted hazard ratios (95% confidence interval) of T2DM incidence were 1.90 (1.12 to 3.23), 2.75 (1.58 to 4.80) and 2.84 (1.69 to 4.77), respectively, for those with TG/HDL-C ratios (both TG and HDL-C were expressed in millimole per liter) in the ranges of 0.87–1.30, 1.31–1.74 and ≥1.75, compared with individuals with TG/HDL-C ratios <0.87. The similar results of subdistribution hazard ratios were obtained by performing the Fine-Gray model with time-dependent TG/HDL-C ratios. This positive association and the statistically significant trend with increased risk of T2DM incidence in the three categories of elevated TG/HDL-C ratio was confirmed by multiple sensitivity analyses. Furthermore, the T2DM discriminatory power of TG/HDL-C ratio combining with other risk factors was moderately high.ConclusionsWe found that time-dependent TG/HDL-C ratios were positively associated with the risk of T2DM risk. The elevated TG/HDL-C ratios increased the future risk of T2DM incidence. Lowering the TG/HDL-C ratio could assist in the prevention of diabetes for older adults.
Participation in structured diabetes mellitus self-management education program and association with lifestyle behavior: results from a population-based study
Authors: Carmienke Solveig , Baumert Jens , Gabrys Lars , Heise Marcus , Frese Thomas , Heidemann Christin , Fink Astrid 
Published: March 2020

ObjectiveWhether participation in structured diabetes self-management education programs (DSME) for participants with diabetes mellitus is associated with a healthy lifestyle in routine care apart from randomized-controlled studies remains unclear and is this studies’ research question.Research design and methodsWe identified 1300 persons with diabetes mellitus drawn from the cross-sectional population-based analysis German Health Update 2014/2015 (GEDA 2014/2015), which integrated the modules of the European Health Interview Survey (EHIS) wave 2. Of those, 816 were ever-DSME participants and 484 never-participants. We conducted multivariable weighted logistic regression analyses for lifestyle differences comparing ever-DSME and never-DSME participants. Lifestyle was defined by physical activity (PA), current smoking, fruit/vegetable consumption and body mass index (BMI). Age, sex, socioeconomic status, living together, limitation due to health problems for at least for 6 months, self-efficacy and attention to one’s health were included as confounders in the regression models.ResultsEver-DSME participants engaged significantly more often in cycling at least 1 day per week (OR 1.62, 95% CI: 1.15–2.30) and performed significantly more often aerobic endurance training of 150 min per week (including walking: OR 1.42, 95% CI: 1.03–1.94, without walking: OR 1.48, 95% CI: 1.08–2.03) compared with never-DSME participants. Ever-DSME participants were significantly more often ex-smoker compared with never-DSME participants (OR 1.39, 95% CI: 1.03–1.88). DSME attendance was not significantly associated with current smoking, BMI and fruit or vegetable consumption.ConclusionDSME participation is associated with a moderately healthier lifestyle particularly for PA even in routine healthcare. Study results emphasize the importance of a broadly dissemination of DSME access for nationwide diabetes healthcare. Future studies should adjust for DSME participation when investigating lifestyle in persons with diabetes.
Intestinal gluconeogenesis prevents obesity-linked liver steatosis and non-alcoholic fatty liver disease
Authors: Vily-Petit Justine , Soty-Roca Maud , Silva Marine , Raffin Margaux , Gautier-Stein Amandine , Rajas Fabienne , Mithieux Gilles 
Published: March 2020

ObjectiveHepatic steatosis accompanying obesity is a major health concern, since it may initiate non-alcoholic fatty liver disease (NAFLD) and associated complications like cirrhosis or cancer. Intestinal gluconeogenesis (IGN) is a recently described function that contributes to the metabolic benefits of specific macronutrients as protein or soluble fibre, via the initiation of a gut-brain nervous signal triggering brain-dependent regulations of peripheral metabolism. Here, we investigate the effects of IGN on liver metabolism, independently of its induction by the aforementioned macronutrients.DesignTo study the specific effects of IGN on hepatic metabolism, we used two transgenic mouse lines: one is knocked down for and the other overexpresses glucose-6-phosphatase, the key enzyme of endogenous glucose production, specifically in the intestine.ResultsWe report that mice with a genetic overexpression of IGN are notably protected from the development of hepatic steatosis and the initiation of NAFLD on a hypercaloric diet. The protection relates to a diminution of de novo lipogenesis and lipid import, associated with benefits at the level of inflammation and fibrosis and linked to autonomous nervous system. Conversely, mice with genetic suppression of IGN spontaneously exhibit increased hepatic triglyceride storage associated with activated lipogenesis pathway, in the context of standard starch-enriched diet. The latter is corrected by portal glucose infusion mimicking IGN.ConclusionWe conclude that IGN per se has the capacity of preventing hepatic steatosis and its eventual evolution toward NAFLD.
Serotonin–norepinephrine reuptake inhibitors for the prevention of migraine and vestibular migraine: a systematic review and meta-analysis
Authors: Wang Fengzhi , Wang Jiaoqi , Cao Yumeng , Xu Zhongxin 
Published: March 2020

Background and objectivesThe role of serotonin–norepinephrine reuptake inhibitors (SNRIs) in migraine prophylaxis has not been completely established. Current treatments for vestibular migraine (VM) are based on scarce evidence. We aimed to perform an updated review focusing on the efficacy and tolerability of SNRIs for migraine and VM prevention.MethodsWe searched the PubMed, Web of Science, and Cochrane Library databases for relevant studies. The primary outcome was migraine frequency. In the case of VM, the Dizziness Handicap Inventory (DHI) scores and Vertigo Severity Scores (VSSs) were extracted.ResultsSix randomized controlled trials involving 418 patients were analyzed. Patients receiving SNRIs had fewer migraine days than those receiving a placebo (standardized mean difference −0.38, 95% CI −0.76 to −0.01, p=0.04). The effects of SNRIs and other active drugs were comparable. In patients with VM, venlafaxine had a significant advantage over other active drugs in decreasing the VSS (weighted mean difference (MD) −1.45, 95% CI −2.11 to −0.78, p<0.0001) and the emotional domain score of the DHI (MD −2.64, 95% CI −4.97 to −0.31, p=0.03). We found no significant difference in the rate of withdrawals due to any reason or withdrawals due to side effects between SNRIs and active drugs and between SNRIs and a placebo.ConclusionsSNRIs were clinically safe and effective for migraine and VM prophylaxis, were better than a placebo, and not inferior to other active drugs. SNRIs may be a preferable choice for patients with VM with psychiatric disorders.
A Prospective, Phase 1 Trial of Nivolumab, Ipilimumab, and Radiotherapy in Patients with Advanced Melanoma
Authors: Postow Michael A. , Knox Susan J. , Goldman Debra A. , Elhanati Yuval , Mavinkurve Vikram , Wong Phillip , Halpenny Darragh , Reddy Sunil K. , Vado Kenya , McCabe Danielle , Ramirez Kristen Aufiero , Macri Mary , Schwarzenberger Paul , Ricciardi Toni , Ryan Aileen , Venhaus Ralph , Momtaz Parisa , Shoushtari Alexander N. , Callahan Margaret K. , Chapman Paul B. , Wolchok Jedd D. , Subrahmanyam Priyanka B. , Maecker Holden T. , Panageas Katherine S. , Barker Christopher A. 
Published: March 2020

AbstractPurpose:Preclinical data suggest that radiotherapy (RT) is beneficial in combination with immune checkpoint blockade. Clinical trials have explored RT with single-agent immune checkpoint blockade, but no trials have reported RT with the combination of nivolumab and ipilimumab.Patients and Methods:We conducted a phase 1 study of patients with stage IV melanoma receiving nivolumab and ipilimumab with two different dose-fractionation schemes of RT. Patients had at least one melanoma metastasis that would benefit from palliative RT and one metastasis that would not be irradiated. Nivolumab 1 mg/kg + ipilimumab 3 mg/kg and extracranial RT with a dose of 30 Gy in 10 fractions was administered in Cohort A, and then 27 Gy in 3 fractions was administered in Cohort B. The primary outcome was safety.Results:Twenty patients were treated (10 in each cohort). The rates of treatment-related grade 3–4 adverse events in Cohort A and B were 40% and 30%, respectively. There were no grade ≥3 adverse events attributed to RT. Patients responded to treatment outside of the irradiated volume (Cohort A 5/10; Cohort B 1/9). No evaluable patients had progression of irradiated metastases. Immunologic changes were seen in the peripheral blood with increases in T-cell receptor diversity in some responding patients.Conclusions:RT with nivolumab and ipilimumab was safe compared with historical data of nivolumab and ipilimumab alone. Immunologic effects were observed in the peripheral blood. Randomized studies are ongoing to assess whether RT increases the efficacy of nivolumab and ipilimumab.
Fibrinogen Alpha Chain Knockout Promotes Tumor Growth and Metastasis through Integrin–AKT Signaling Pathway in Lung Cancer
Authors: Wang Meng , Zhang Guangxin , Zhang Yue , Cui Xuelian , Wang Shuaibin , Gao Song , Wang Yicun , Liu Ying , Bae Jeeyoo H. , Yang Wei-Hsiung , Qi Lei S. , Wang Lizhong , Liu Runhua 
Published: March 2020

Abstract

Fibrinogen is an extracellular matrix protein composed of three polypeptide chains with fibrinogen alpha (FGA), beta (FGB) and gamma (FGG). Although fibrinogen and its related fragments are involved in tumor angiogenesis and metastasis, their functional roles are incompatible. A recent genome-scale screening reveals that loss of FGA affects the acceleration of tumor growth and metastasis of lung cancer, but the mechanism remains elusive. We used CRISPR/Cas9 genome editing to knockout (KO) FGA in human lung adenocarcinoma (LUAD) cell lines A549 and H1299. By colony formation, transwell migration and matrix invasion assays, FGA KO increased cell proliferation, migration, and invasion but decreased the expressions of epithelial–mesenchymal transition marker E-cadherin and cytokeratin 5/8 in A549 and H1299 cells. However, administration of FGA inhibited cell proliferation and migration but induced apoptosis in A549 cells. Of note, FGA KO cells indirectly cocultured by transwells with FGA wild-type cells increased FGA in the culture medium, leading to decreased migration of FGA KO cells. Furthermore, our functional analysis identified a direct interaction of FGA with integrin α5 as well as FGA–integrin signaling that regulated the AKT–mTOR signaling pathway in A549 cells. In addition, we validated that FGA KO increased tumor growth and metastasis through activation of AKT signaling in an A549 xenograft model.

Implications:
These findings demonstrate that that loss of FGA facilities tumor growth and metastasis through the integrin–AKT signaling pathway in lung cancer.
Results of Fitted Neural Network Models on Malaysian Aggregate Dataset
Authors: Azura Md Ghani Nor , Bin Ahmad Kamaruddin Saadi , Musirin Ismail , Hashim Hishamuddin 
Published: March 2020

This result-based paper presents the best results of both fitted BPNN-NAR and BPNN-NARMA on MCCI Aggregate dataset with respect to different error measures. This section discusses on the results in terms of the performance of the fitted forecasting models by each set of input lags and error lags used, the performance of the fitted forecasting models by the different hidden nodes used, the performance of the fitted forecasting models when combining both inputs and hidden nodes, the consistency of error measures used for the fitted forecasting models, as well as the overall best fitted forecasting models for Malaysian aggregate cost indices dataset.
Direct space vector modulation for matrix converter fed dual star induction machine and neuro-fuzzy speed controller
Authors: Bouziane Meliani , Abdelkader Meroufel 
Published: March 2020

This paper presents the modeling, design, and simulation of an adaptive neuro fuzzy inference strategy (ANFIS) for controlling the speed of the Double Star induction Machine (DSIM), the machine is fed by three phase direct matrix converter which makes directly AC-AC power conversion is modeled using Direct Space Vector Modulation technique(DSVM) for direct matrix converter. Double star Induction motor is characterized by highly non-linear, complex and time-varying dynamics and inaccessibility of some of the states and outputs for measurements. Hence it can be considered as a challenging engineering problem in the industrial sector. Various advanced control techniques has been devised by various researchers across the world. Some of them are based on the neuro-fuzzy techniques. The main advantage of designing the ANFIS coordination scheme is to control the speed of the DSIM to increase the dynamic performance, to provide good stabilization. To show the effectiveness of our scheme, the proposed method was simulated on an electrical system composed of a 4.5 kW six-phase induction machine and its power inverter. Digital simulation results demonstrate that the deigned ANFIS speed controller realize a good dynamic of the DSIM, a perfect speed tracking with no overshoot, give better performance and high robustness.
Wideband and high gain dielectric resonator antenna for 5G applications
Authors: Ali Irfan , Jamaluddin Mohd Haizal , Kamarudin M. R. , Gaya Abinash , Selvaraju R. 
Published: March 2020

In this paper, wideband high gain dielectric resonator antenna for 5G applications is presented. Higher order mode is exploited to enhance the antenna gain, while the array of symmetrical cylindrical shaped holes drilled in the DRA to improves the bandwidth by reducing the quality factor. The proposed DRA is designed using dielectric material with relative permittivity of 10 and loss tangent of 0. 002.The Rogers RT/Droid 5880 has been selected as substrate with relative permittivity of 2.2, loss tangent of 0.0009- and 0.254-mm thickness. The simulated results show that, the proposed geometry has achieved a wide impedance bandwidth of 17.3% (23.8-28.3GHz=4.5 GHz) for S11-10 dB, and a maximum gain of about 9.3 dBi with radiation efficiency of 96% at design frequency of 26 GHz. The DRA is feed by microstrip transmission line with slot aperture. The reflection coefficient, the radiation pattern, and the antenna gain are studied by full-wave EM simulator CST Microwave Studio. The proposed antenna can be used for the 5G communication applications such as device to device communication (D2D).
Integrated monte carlo-evolutionary programming technique for distributed generation studies in distribution system
Authors: Abas Nur Ainna Shakinah , Musirin Ismail , Jelani Shahrizal , Mansor Mohd Helmi , Honnoon Naeem M. S. , Othman Muhammad Murtadha 
Published: March 2020

This paper presents the optimal multiple distributed generations (MDGs) installation for improving the voltage profile and minimizing power losses of distribution system using the integrated monte-carlo evolutionary programming (EP). EP was used as the optimization technique while monte carlo simulation is used to find the random number of locations of MDGs. This involved the testing of the proposed technique on IEEE 69-bus distribution test system. It is found that the proposed approach successfully solved the MDGs installation problem by reducing the power losses and improving the minimum voltage of the distribution system.
PHP modernization approach generating KDM models from PHP legacy code
Authors: Moutaouakkil Amine , Mbarki Samir 
Published: March 2020

With the rise of new web technologies such as web 2.0, Jquery, Bootstrap. Modernizing legacy web systems to benefit from the advantages of the new technologies is more and more relevant. The migration of a system from an environment to another is a time and effort consuming process, it involves a complete rewrite of the application adapted to the target platform. To realize this migration in an automated and standardized way, many approaches have tried to define standardized engineering processes. Architecture Driven Modernization (ADM) defines an approach to standardize and automate the reengineering process. We defined an ADM approach to represent PHP web applications in the highest level of abstraction models. To do this, we have used software artifacts as a entry point . This paper describes the extraction process, which permits discovering and understanding of the legacy system. And generate models to represent the system in an abstract way.
Design and analysis microstrip antenna with reflector to enhancement gain for wireless communication
Authors: Jassim ِAli Khalid , Thaher Raad H. 
Published: March 2020

In this paper is presented the good solution to enhancement gain by using physical plane plate reflector with optimum distance by a reflector was used with the antenna and using a sweep parameter for the distance at which the reflector was placed at (, we found the best distance is when selected the bandwidth is 28GHz where . The gain at the bandwidth in 28GHz was improved from (5.48, 6.78, and 7.83) dB to 11.53 dB, while the gain without a reflector is 7.1 dB. The simulation results were obtained using CST which was more consistent with the practical results.