bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design a Robust Sliding Mode Controller Based on the State and Parameter Estimation for the Nonlinear Epidemiological Model of Covid-19
Authors: Badfar Ehsan , Zaferani Effat Jalaeian , Nikoofard Amirhossein 
Published: June 2021

Abstract
In this research, the vital problem of Covid-19 mitigation is looked
at from an engineering point of view. At first, the behavior of coronavirus
in society is expressed by a set of ordinary differential equations. In the proposed model, the control input signals are vaccination, social distance, and medical treatment. The unknown parameters of the system are estimated by
Long Short-Term Memory (LSTM) algorithm. In the LSTM algorithm, the problem of long-term dependency is prevented. The uncertainty and measurement noise is an inherent characteristic of the epidemiological models. For this reason, an extended Kalman filter (EKF) is developed to estimate the state variables of the proposed model. In the rest of paper, a robust sliding mode controller is designed to control the spread of coronavirus under vaccination, social distance, and medical treatment. The stability of the closed-loop system is guaranteed by the Lyapunov theorem. The official confirmed data provided by the Iranian ministry of health authorities are employed to simulate the proposed algorithms. It is understood from simulation results that global vaccination has the potential to produce herd immunity in long-term. Under the proposed controller, daily Covid-19 infections and deaths become less than 500 and 10 people, respectively.
Inclusion of Double Helix Structural Oligonucleotide (STexS) Results in an Enhance of SNP Specificity in PCR
Authors: Park Byoung , Kim Jae Jong , Park Hyoung-Min , Kyoung AYoung , Park In Kyung , Lim Sikyu 
Published: June 2021

Abstract
Genetic mutations such as single nucleotide polymorphisms (SNP) are known as one of the most common forms which related to various genetic disorders and cancers. Among of the methods developed for efficient detection of such SNP, polymerase chain reaction (PCR) methods are widely used worldwide for its cost and viable advantages. However, the technique to discriminate small amounts of SNP mixed in abundant normal DNA is incomplete due to intrinsic technical problems of PCR such as amplification occurring even in 3’mismatched cases because of high enzyme activity of DNA polymerases. To overcome the issue, specifically designed PCR platform, STexS (SNP typing with excellent specificity) using double stranded oligonucleotides was implemented as a means to emphasize the amplification of mutated SNP templates by decreasing unwanted amplification of 3’mismatched DNA copies. In this study, the results indicate several EGFR mutations were easily detected specifically utilizing the STexS platform. Further trials show the novel method works effectively to discriminate mutations in not only general allele specific (AS)-PCRs, but also amplification refractory mutation system (ARMS)-PCR. The STexS platform will give aid in PCRs targeting potential SNPs or genetically mutated biomarkers in human clinical samples.
Preliminary Study on The Relationship of BRAF Mutations to The Outcome of The First 131I Radiotherapy and Malignant Biological Characteristics in Papillary Thyroid Carcinoma
Authors: Shangguan Linjue , Zhang Peipei , Fang Shengwei , Xiang Kaili , Geng Yawen , Luo Dingcun , Zhao Chunlei 
Published: June 2021

Abstract
Objective To investigate the relationship of BRAF mutation to the outcome of the first postoperative 131I treatment and malignant biological characteristics in papillary thyroid carcinoma (PTC) and the clinical value of circulating tumor DNA (ctDNA). Methods Thirty-three patients with PTC underwent the first 131I treatment after total thyroidectomy were enrolled in this study. BRAF mutation based on postoperative tumor tissue and ctDNA in peripheral blood before 131I treatment were detected. According to the status of BRAF mutation, all patients were divided into 2 groups for the categories of tumor tissues and ctDNA respectively: i) BRAF mutated, ii) BRAF wild-type. The Fisher's exact test was performed to analyze the relationship of BRAF mutation in either tumor tissue or ctDNA to the outcome of the first 131I treatment and malignant characteristics of PTC. Results BRAF mutation was detected in 25 patients based on tumor tissue (25/33,75.8%), and all the patients had single mutation site. In ctDNA, BRAF mutation was detected in 5 patients (5/33, 15.2%), and all the patients had single mutation site. BRAF mutation showed no relationship with the outcome of the first 131I treatment and the malignant biological characteristics in both tumor tissues and ctDNA(P>0.05). Conclusion The value of BRAF mutation alone might be limited in predicting therapeutic outcome of the first 131I treatment in PTC. No certain relevance was found between BRAF mutation and malignant biological features in PTC.
A Hybrid Deep Collaborative Filtering Approach for Recommender Systems
Authors: R Kirubahari , S Miruna Joe Amali 
Published: June 2021

Abstract
Recommender Systems (RS) help the users by showing better products and relevant items efficiently based on their likings and historical interactions with other users and items. Collaborative filtering is one of the most powerful technique of recommender system and provides personalized recommendation for users by prediction rating approach. Many Recommender Systems generally model only based on user implicit feedback, though it is too challenging to build RS. Conventional Collaborative Filtering (CF) techniques such as matrix decomposition, which is a linear combination of user rating for an item with latent features of user preferences, but have limited learning capacity. Additionally, it has been suffering from data sparsity and cold start problem due to insufficient data. In order to overcome these problems, an integration of conventional collaborative filtering with deep neural networks is proposed. A Weighted Parallel Deep Hybrid Collaborative Filtering based on Singular Value Decomposition (SVD) and Restricted Boltzmann Machine (RBM) is proposed for significant improvement. In this approach a user-item relationship matrix with explicit ratings is constructed. The user - item matrix is integrated to Singular Value Decomposition (SVD) that decomposes the matrix into the best lower rank approximation of the original matrix. Secondly the user-item matrix is embedded into deep neural network model called Restricted Boltzmann Machine (RBM) for learning latent features of user- item matrix to predict user preferences. Thus, the Weighted Parallel Deep Hybrid RS uses additional attributes of user - item matrix to alleviate the cold start problem. The proposed method is verified using two different movie lens datasets namely, MovieLens 100K and MovieLens of 1M and evaluated using Root Mean Squared Error (RMSE) and Mean Absolute Error (MAE). The results indicate better prediction compared to other techniques in terms of accuracy.
Role of Detrusor PDGFRα+ Cells in Cyclophosphamide-Induced Detrusor Overactivity
Authors: Lee Haeyeong , Koh Byoung H. , Peri Lauren E. , Woodward Holly J. , Perrino Brian A. , Sanders Kenton M. , Koh Sang Don 
Published: June 2021

Abstract
Cyclophosphamide (CYP)-induced cystitis is a rodent model that shares many features common to the cystitis occurring in patients, including detrusor overactivity (DO). Platelet-derived growth factor receptor alpha positive (PDGFRα+) cells regulate muscle excitability in murine bladders during filling. PDGFRα+ cells express small conductance Ca2+-activated K+ channels (predominantly SK3) that provide stabilization of membrane potential during filling. We hypothesized that down-regulation of the regulatory functions of PDGFRα+ cells and/or loss of PDGFRα+ cells generates the DO in CYP-treated mice. After CYP treatment, transcripts of Pdgfrα and Kcnn3 were reduced, and PDGFRα and SK3 protein was also reduced in detrusor muscle extracts. The distribution of PDGFRα+ cells was also reduced. Inflammatory markers were increased in CYP-treated detrusor muscles. An SK channel agonist, CyPPA, increased outward current and hyperpolarization in PDGFRα+ cells. This response was significantly depressed in PDGFRα+ cells from CYP-treated bladders. Ex vivo cystometry showed increased transient contractions in CYP-treated bladders, and the sensitivity of these bladders to apamin was reduced, reflecting the reduction in the SK conductance expressed by PDGFRα+ cells. In summary, PDGFRα+ cells were reduced and the SK3 conductance was downregulated in CYP-treated bladders. These changes are consistent with the development of DO after CYP treatment.
Evaluating Posterior Vitreous Detachment By Widefield 23-mm Swept-Source Optical Coherence Tomography Imaging In Healthy Subjects
Authors: Chiku Yoshiaki , Hirano Takao , Takahashi Yoshiaki , Tuchiya Ayako , Nakamura Marie , Murata Toshinori 
Published: June 2021

Abstract
Posterior vitreous detachment (PVD) is a separation between the posterior vitreous cortex and internal limiting membrane. Although PVD was historically considered an acute event, recent studies using spectral-domain optical coherence tomography (SD-OCT) revealed a gradual progression of PVD in healthy subjects. Although SD-OCT improved PVD studies, the narrow imaging angle and long examination time were problematic to allow wide angle capture. The Xephilio OCT-S1 (Canon), a swept source OCT (SS-OCT) device, can obtain up to 23-mm of widefield B-scan images in a single acquisition. We used this widefield SS-OCT to quantitatively evaluate the PVD stage in 214 healthy subjects aged 4–89 years and determine whether PVD stages differ between the bilateral eyes of each patient. Age was significantly positively correlated with overall PVD stage (ρ=0.7520, P<0.001). Interestingly, partial PVD occurred in children as young as 5 years old, indicating that initial PVD onset may occur much earlier than previously reported.Furthermore, PVD stages of the bilateral eyes were highly consistent in 183 subjects (85.5%). Widefield 23-mm SS-OCT thus revealed that PVD started earlier than anticipated, and age is correlated with the symmetry of PVD stage. Widefield 23-mm SS-OCT may also be clinically useful for the evaluation of diseased eyes.
Huatan Dingji Decoction Intervening in Atrial Fibrillation : Protocol for a Randomized Double-Blind Single-Simulated Placebo-Controlled Clinical Trial
Authors: Ying Xiao , Yi Wang Xin , Nuo Tang , Wu Qiong , Jin Yang , Mian Li Mian , Lin Ma Zi , Bin Deng , Lin Shen , Hong Wei Yi , Shuai Zhang , Na Zhang , Ping Zhao , Chen Zhu , Jiao Mao Mei 
Published: June 2021

Abstract
Background: Atrial fibrillation (AF) is one of the most common cardiac arrhythmias and can lead to heart failure(HF), stroke, pulmonary embolism(PE) and other complications, seriously affecting people's quality of life and health.Western medicine is limited in the treatment of AF, while Traditional Chinese Medicine(TCM) has unique advantages, such as low side effects, low toxicity, long effect duration and high compliance.Huatan Dingji Decoction(HTDJ) is commonly used in the treatment of AF in our hospital, and its clinical efficacy is confirmed, but a comprehensive evaluation of the clinical efficacy is currently lacking. Method: This study adopts a randomized double-blind, single-simulated, placebo-controlled research method. Participants were randomly assigned in a 1:1 ratio through a centrally controlled, computer-generated, simple randomization schedule. Participants would take the medicine for one month and the curative effect would be evaluated. Subsequently, the participants would not take TCM and only receive western medicine treatment. They would be followed up for another 8 weeks, and a clinical evaluation would be conducted.The evaluation includes the frequency of palpitation, cumulative attack time, increase and decrease rate of western medicine, TCM symptoms, clinical quality of life, clinical endpoint events and safety. Cases are derived from outpatient and inpatient with AF in the Cardiology Department of Longhua Hospital. Evaluations would be conducted at baseline and at week 4 and 12 after randomization.Discussion:In this study, the efficacy and safety of HTDJ plus western medicine in the treatment of AF(palpitation of Qi deficiency-caused phlegm stagnation) were evaluated, so as to provide medicine evidence of short-term and medium-term clinical efficacy for the treatment of AF with integrated traditional and western medicine, and lay a foundation for further clinical development and application.Trial registration: The trial has been registered on March 5,2020 at Chinese Clinical Trial Registry (www.chictr.org.cn; ID:ChiCTR2000030517).Trial registration: This study was registered on May 15,2019 at ClinicalTrials.gov with the identifier number NCT03952676.
Optimal Robust Constraint-Following Control for Permanent Magnet Linear Motor: A Fuzzy Approach
Authors: Liu Xiaoli , Zhao Han , Zhen Shengchao , Li Chuanyang , Chen Ye-Hwa 
Published: June 2021

Abstract
In this paper, robust constraint-following control (RCFC) with the optimal design is developed to handle the trajectory tracking control issues for permanent magnet linear motors, which control performance is deteriorated mainly by friction, ripple force, and external disturbance. Specifically, fuzzy description for the main nonlinearity of the PMLM system and its fuzzy dynamic model is formulated. Then, the tracking specification is modeled as a performance constraint, the RCFC algorithm following the Udwadia-Kalaba theory is designed to comply with this constraint, and possess strong robustness to uncertainties simultaneously. The resulting controller is demonstrated to be uniform bounded and uniform ultimate bounded with Lyapunov analysis. Furthermore, the optimal design issue via a fuzzy approach is investigated to achieve the optimal tradeoff between control effort and system performance. Finally, the rapid control prototype platform CSPACE is employed to implement the real-time control while avoiding the time-consuming repetitive programming and debugging. Simulation and experiment results illustrate the actual effectiveness of the proposed algorithm.
Synbiotic Supplementation Modulates Gut Microbiota, Regulates Beta-catenin Expression and Prevents Weight Gain in Ob/ob Mice
Authors: Duarte Sebastião Mauro Bezerra , Stefano José Tadeu , Franco Lucas A. M. , Martins Roberta C. , Moraes Bruna D. G. C. , Barbeiro Denise Frediani , Oliveira Nathalia , Neri Junia Marielle Teixeira Rodrigues , Vanni Denise Siqueira , Sabino Ester C. , Carrilho Flair José , Oliveira Claudia 
Published: June 2021

Abstract
Background: Obesity is one of the main health problems in the world today and dysbiosis seem to be one of the factors involved. The aim of this study was to examine the impact of synbiotic supplementation in obesity and microbiota in ob/ob mice. 20 animals were divided into four groups: Obese Treated (OT) and Control (OC), Lean Treated (LT) and Control (LC). All animals received standard diet for 8 weeks. Treated groups received a synbiotic in water while nontreated groups received water. After 8 weeks, all animals were sacrificed and gut tissue mRNA isolation and stool samples by microbiota analysis were collected. Beta-catenin, occludin, cadherin and zonulin were analyzed in gut tissue by RT-qPCR. Microbiome DNA was extracted from stool samples and sequenced using the Ion PGM Torrent platform. Results: The synbiotic supplementation reduced body weight gain in OT group comparing with OC (p=0.0398), increase of Enterobacteriaceae (p=0.005) and decrease of Cyanobacteria (p=0.047), Clostridiaceae (p=0.026), Turicibacterales (p=0.005) and Coprococcus (p=0.047). In the other hand, a significant reduction of Sutterella bacteria (p=0.009) and Turicibacter (p=0.005) was observed in LT group compared to LC. Alpha and beta diversities were differ between all treated groups. Beta-catenin gene expression was significantly decreased in the gut tissue of OT group (p≤0.0001) when compared to other groups. No changes were observed in occludin, cadherin and zonulin gene expression in the gut tissue. Conclusion: The synbiotics supplementation prevents excessive weight gain, modulates the gut microbiota, and reduces beta-catenin expression in ob/ob mice.
Feature-Tracking Strain Derived from Compressed Sensing Cine Cardiovascular Magnetic Resonance Imaging for Myocardial Infarct Detection: A Feasibility Study
Authors: Morikawa Tomoro , Tanabe Yuki , Kido Tomoyuki , Ogawa Ryo , Nakamura Masashi , Akasaka Sho , Watanabe Kouki , Schmidt Michaela , Yamaguchi Osamu , Kido Teruhito 
Published: June 2021

Abstract
Purpose: This study aimed to use gadolinium-enhanced cardiovascular magnetic resonance (LGE-CMR) scanning to examine the clinical feasibility of feature-tracking strain (FT-strain) analysis on compressed sensing (CS) cine cardiovascular magnetic resonance (CMR) imaging for detecting myocardial infarction (MI).Methods: We enrolled 37 patients who underwent conventional cine CMR, CS cine CMR, and LGE-CMR scanning to assess cardiovascular disease. FT-strain analysis was used to assess peak circumferential strain (p-CS) based on an 18-segment model in both cine CMR imaging modalities. Based on LGE-CMR imaging findings, myocardial segments were classified as remote, adjacent, subendocardial infarcted, and transmural infarcted. The diagnostic performance of p-CS for detecting MI was compared between CS cine CMR imaging and conventional cine CMR imaging using the receiver operating characteristic (ROC) curve analysis.Results: A total of 440 remote, 85 adjacent, 76 subendocardial infarcted, and 65 transmural infarcted segments were diagnosed on LGE-CMR imaging. There were significant between-group differences in p-CS on both conventional and CS cine CMR (p <0.05 in each) imaging. The sensitivity and specificity of p-CS for identifying MI were 85% and 79% for conventional cine CMR imaging, and 82% and 77% for CS cine CMR imaging, respectively. There was no significant difference between conventional and CS cine CMR imaging in the area under the curve of p-CS (0.89 vs. 0.87, p = 0.15).Conclusion: FT-strain analysis of CS cine CMR imaging may help identify MI; it may be used alongside or instead of conventional CMR imaging.
Crop Prices and Deforestation in the Tropics
Authors: Berman Nicolas , Couttenier Mathieu , Leblois Antoine , Soubeyran Raphaël 
Published: June 2021

Abstract
Global food demand is rising, pushed by growing world population and dietary changes in developing countries. This encourages farmers to increase crop production which, in turn, increases worldwide demand for agricultural land and the pressure on tropical forests. With a possible doubling of world food demand by 2050, this pressure is not likely to decrease in the next decades. While the impact of food demand on deforestation has been pushed forward in the medias, rigorous evidence using large-N data estimating the causal impact of crop price variations on deforestation remains scarce. Here, we quantify this impact over the twenty first century using high resolution annual forest loss data across the tropics, combined with information about crop-specific agricultural suitability and annual international commodity prices. We find a sizeable impact of price variations on deforestation: crop price variations are estimated to have contributed to 35% of the total predicted deforestation in the tropics over the period 2001-2018. We also highlight that the degree of openness to international trade and level of economic development are first-order local characteristics to explain the magnitude of the impact of crop prices on deforestation.
Robust-LSTM: A Novel Approach to Short-Traffic Flow Prediction Based on Signal Decomposition
Authors: Doğan Erdem 
Published: June 2021

Abstract
Intelligent transport systems need accurate short-term traffic flow forecasts. However, developing a robust short-term traffic flow forecasting approach is a challenge due to the stochastic character of traffic flow. This study proposes a novel approach for short-term traffic flow prediction task namely Robust Long Short Term Memory (R-LSTM) based on Robust Empirical Mode Decomposing (REDM) algorithm and Long Short Term Memory (LSTM). Short-term traffic flow data provided from the Caltrans Performance Measurement System (PeMS) database were used in the training and testing of the model. The dataset was composed of traffic data collected by 25 traffic detectors on different freeways’ main lanes. The time resolution of the dataset was set to 15 minutes, and the Hampel preprocessing algorithm was applied for outlier elimination. The R-LSTM predictions were compared with the state-of-art models, utilizing RMSE, MSE, and MAPE as performance criteria. Performance analyzes for various periods show that R-LSTM is remarkably successful in all time periods. Moreover, developed model performance is significantly higher, especially during mid-day periods when traffic flow fluctuations are high. These results show that R-LSTM is a strong candidate for short-term traffic flow prediction, and can easily adapt to fluctuations in traffic flow. In addition, robust models for short-term predictions can be developed by applying the signal separation method to traffic flow data.
The Short Term Influence of RV Pacing Burden on Numerous Echocardiographic and Spiroergometric Parameter In Patients With Preserved LVEF - The Mechanism of The Worsened Clinical Outcome Due To High RV Pacing Burden Remains Unclear.
Authors: Youssef Akram , Ibrahim Karim , Günther Michael , Kolschmann Steffen , Richter Utz , Francke Alexander , Wunderlich Carsten , Christoph Marian 
Published: June 2021

Abstract
Background: The cause of worsened clinical outcome due to high RV pacing burden remains unclear.Objective: To investigate the impact of RV pacing on several echocardiographic and spiroergometric parameter Methods: In 60 pacemaker patients with preserved LVEF serial echocardiographies and spiroergometries were performed over a time course of 12 months. Additionally in 50 patients retrospective echocardiographic analyses of the LV- and RV function were carried out up to 24 months after pacemaker implantation.Results: The patients were divided into two groups: The high RV pacing burden group (hRVP: ≥ 40%) and the low RV pacing group (lRVP <40%) according to the definitions in previous randomized MOST and DAVID trials. After a period of 12 month pacemaker therapy there could not revealed any changes LVEDD, LVESD, LVEF, E/A-ratio; E/E’-ratio and TAPSE independently of the RV pacing burden. Additionally, after 24 month long term follow-up there were no changes in LVEF and TAPSE in both groups. Accordingly to these echo data no relevant changes of peak exercise capacity, ventilatory anaerobic threshold and maximal oxygen consumption could be revealed independently of the RV pacing. Conclusions: In pacemaker patients with preserved LVEF the burden of RV pacing has no adverse influence, neither to several echocardiographic parameters nor to the clinical exercise capacity after a follow-up of 12 to 24 month. Therefore, the mechanism of the worsened clinical outcome due to high RV pacing burden in patients without a relevant structural heart disease remains unclear.