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Nonalcoholic fatty liver disease is associated with benign gastrointestinal disorders

World Journal of Gastroenterology 2013年第45期19卷 8301-8311页

作者： srinevas K Reddy Min Zhan H Richard Alexander samer s el-kamary Department of surgery University of Maryland School of Medicine BaltimoreMD 21201 United States Department of Epidemiology and Public Health University of Maryland School of Medicine Baltimore MD 21201United States Departments of Pediatrics Epidemiology and Public Health University of Maryland School of MedicineBaltimore MD 21201 United States

AIM:To explore associations between nonalcoholic fatty liver disease(NAFLD)and benign gastrointestinal and pancreato-biliary ***:Patient demographics,diagnoses,and hospital outcomes from the 2010 Nationwide Inpatient sample were *** liver diseases were identified using International Classification of Diseases,the 9thRevision,Clinical Modification *** with NAFLD were compared to those with other chronic liver diseases for the endpoints of total hospital charges,disease severity,and hospital *** stepwise logistic regression analyses to assess for the independent association of demographic,comorbidity,and diagnosis variables with the event of NAFLD(vs other chronic liver diseases)were also ***:Of 7800441 discharge records,32347(0.4%)and 271049(3.5%)included diagnoses of NAFLD and other chronic liver diseases,*** patients were younger(average 52.3 years vs55.3 years),more often female(58.8%vs 41.6%),less often black(9.6%vs 18.6%),and were from higher income areas(23.7%vs 17.7%)compared to counterparts with other chronic liver diseases(all Ps mellitus(43.4%vs 28.9%),hypertension(56.9%vs 47.6%),morbid obesity(36.9%vs 8.0%),dyslipidemia(37.9%vs 15.6%),and the metabolic syndrome(28.75%vs 8.8%)were all more common among NAFLD patients(all Pspital charge($39607 vs$51665),disease severity scores,and intra-hospital mortality(0.9%vs6.0%)were lower among NALFD patients compared to those with other chronic liver diseases(all Pseases,NAFLD was significantly associated with diverticular disorders[OR=4.26(3.89-4.67)],inflammatory bowel diseases[OR=3.64(3.10-4.28)],gallstone related diseases[OR=3.59(3.40-3.79)],and benign pancreatitis[OR=2.95(2.79-3.12)]on multivariable logistic regression(all Psorders were the principal diagnoses on hospital *** relationships were observ

关键词： Nationwide inpatient sample Nonalcoholic fatty liver disease Chronic liver disease Diverticular disease Pancreatitis Gallstones Inflammatory bowel disease

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Data-Driven Learning Control Algorithms for Unachievable Tracking Problems

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IEEE/CAA Journal of Automatica sinica 2024年第1期11卷 205-218页

作者： Zeyi Zhang Hao Jiang Dong shen samer s.saab the school of Mathematics Renmin University of ChinaBeijing 100872China IEEE the school of Engineering Lebanese American UniversityByblos 2038Lebanon

For unachievable tracking problems, where the system output cannot precisely track a given reference, achieving the best possible approximation for the reference trajectory becomes the objective. This study aims to investigate solutions using the Ptype learning control scheme. Initially, we demonstrate the necessity of gradient information for achieving the best ***, we propose an input-output-driven learning gain design to handle the imprecise gradients of a class of uncertain systems. However, it is discovered that the desired performance may not be attainable when faced with incomplete *** address this issue, an extended iterative learning control scheme is introduced. In this scheme, the tracking errors are modified through output data sampling, which incorporates lowmemory footprints and offers flexibility in learning gain *** input sequence is shown to converge towards the desired input, resulting in an output that is closest to the given reference in the least square sense. Numerical simulations are provided to validate the theoretical findings.

关键词： Data-driven algorithms incomplete information iterative learning control gradient information unachievable problems

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A gated recurrent unit model to predict Poisson’s ratio using deep learning

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Journal of Rock Mechanics and Geotechnical Engineering 2024年第1期16卷 123-135页

作者： Fahd saeed Alakbari Mysara Eissa Mohyaldinn Mohammed Abdalla Ayoub Ibnelwaleed A.Hussein Ali samer Muhsan syahrir Ridha Abdullah Abduljabbar salih Petroleum Engineering Department Universiti Teknologi PETRONAS32610Bandar Seri IskandarPerakMalaysia Institute of Hydrocarbon Recovery Universiti Teknologi PETRONAS32610Bandar Seri IskandarPerakMalaysia Gas Processing Center College of EngineeringQatar UniversityP.O.Box 2713DohaQatar Department of Chemical Engineering College of EngineeringQatar UniversityP.O.Box 2713DohaQatar Mechanical Engineering Department Universiti Teknologi PETRONAS32610Bandar Seri IskandarPerakMalaysia

static Poisson’s ratio(vs)is crucial for determining geomechanical properties in petroleum applications,namely sand *** models have been used to predict vs;however,the published models were limited to specific data ranges with an average absolute percentage relative error(AAPRE)of more than 10%.The published gated recurrent unit(GRU)models do not consider trend analysis to show physical *** this study,we aim to develop a GRU model using trend analysis and three inputs for predicting n s based on a broad range of data,n s(value of 0.1627-0.4492),bulk formation density(RHOB)(0.315-2.994 g/mL),compressional time(DTc)(44.43-186.9 μs/ft),and shear time(DTs)(72.9-341.2μ s/ft).The GRU model was evaluated using different approaches,including statistical error *** GRU model showed the proper trends,and the model data ranges were wider than previous *** GRU model has the largest correlation coefficient(R)of 0.967 and the lowest AAPRE,average percent relative error(APRE),root mean square error(RMsE),and standard deviation(sD)of 3.228%,1.054%,4.389,and 0.013,respectively,compared to other *** GRU model has a high accuracy for the different datasets:training,validation,testing,and the whole datasets with R and AAPRE values were 0.981 and 2.601%,0.966 and 3.274%,0.967 and 3.228%,and 0.977 and 2.861%,*** group error analyses of all inputs show that the GRU model has less than 5% AAPRE for all input ranges,which is superior to other models that have different AAPRE values of more than 10% at various ranges of inputs.

关键词： static Poisson’s ratio Deep learning Gated recurrent unit(GRU) sand control Trend analysis Geomechanical properties

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sigmoid Micro-Perforation and Pelvic Abscess Masquerading as Hyperactive Delirium

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Case Reports in Clinical Medicine 2024年第8期13卷 315-320页

作者： samer Alkhuja susheer Gandotra Hirenkumar Faldu Pravinkumar Patel Olutunde Odeyemi Department of Medicine Thomas Jefferson Medical School Thomas Jefferson University Lehigh Valley Health Network-Pocono Stroudsburg PA USA

Diagnoses Background: Delirium is a common finding in elderly patients with sepsis. Early identification of the cause of delirium and treatment is important to avoid any worsening of mental or physical status. sepsis secondary to colonic micro-perforation (CMP) in a patient with a history of diverticulosis should be high on the list of differential diagnosis. Case Report: We present a case of a patient who presented with hyperactive sepsis-associated delirium (sAD). six days after the presentation, the patient started complaining of abdominal pain. An abdominal and pelvic computed tomography (CT) scan showed free air in the abdomen. The patient underwent surgical intervention and treatment with intravenous antibiotics. Pathological examination showed CMP connected to the patient’s history of diverticulosis. Delirium superimposed on dementia (DsD) resulted in the worsening of both the mental and physical status of our patient with the need for placement in a nursing home.

关键词： Delirium Dementia Colon Perforation sepsis Diverticulosis

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Data-Driven Learning Control Algorithms for Unachievable Tracking Problems

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自动化学报（英文版） 2024年第1期

作者： Zeyi Zhang Hao Jiang Dong shen samer s.saab

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Colonic manifestations of PTEN hamartoma tumor syndrome: Case series and systematic review

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World Journal of Gastroenterology 2014年第7期20卷 1833-1838页

作者： Peter P stanich Robert Pilarski Jonathan Rock Wendy L Frankel samer el-Dika Marty M Meyer Division of Gastroenterology Hepatology and Nutritionthe Ohio State University Wexner Medical CenterColumbusOH 43210United States Division of Human Genetics the Ohio State University Wexner Medical CenterColumbusOH 43210United States Department of Pathology the Ohio State University Wexner Medical CenterColumbusOH 43210United States

AIM: To investigate our clinical experience with the colonic manifestations of phosphatase and tensin homolog on chromosome ten (PTEN) hamartoma tumor syndrome (PHTs) and to perform a systematic literature review rega... 详细信息

关键词： Adenoma Bannayan-Riley-Ruvalcaba syndrome Colon polyps Colorectal cancer Cowden syndrome Endoscopy Ganglioneuroma Hamartoma Hyperplastic Phosphatase and tensin homolog on chromosome ten

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Discharge summaries Based sentiment Detection Using Multi-Head Attention and CNN-BiGRU

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Computer systems science & Engineering 2023年第7期46卷 981-998页

作者： samer Abdulateef Waheeb school of Computer science and Engineering Northwestern Polytechnical UniversityXi’an710072China

Automatic extraction of the patient’s health information from the unstructured data concerning the discharge summary remains *** summary related documents contain various aspects of the patient health condition to examine the quality of treatment and thereby help improve decision-making in the medical *** a sentiment dictionary and feature engineering,the researchers primarily mine semantic text ***,choosing and designing features requires a lot of *** proposed approach is an unsupervised deep learning model that learns a set of clusters embedded in the latent space.A composite model including Active Learning(AL),Convolutional Neural Network(CNN),BiGRU,and Multi-Attention,called ACBMA in this research,is designed to measure the quality of treatment based on discharge summaries text sentiment *** is utilized for extracting the set of local features of text *** BiGRU network was utilized to extract the text’s global features to solve the issues that a single CNN cannot obtain global semantic information and the traditional Recurrent Neural Network(RNN)gradient *** prove that the ACBMA method can demonstrate the effectiveness of the suggested method,achieve comparable results to state-of-arts methods in sentiment detection,and outperform them with accurate ***,several algorithm studies ultimately determined that the ACBMA method is more precise for discharge summaries sentiment analysis.

关键词： sentiment analysis lexicon discharge summaries active learning multi-head attention mechanism

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CFD based extraction column design-Chances and challenges

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Chinese Journal of Chemical Engineering 2016年第2期24卷 259-263页

作者： Mark W.Hlawitschka Menwer M.Attarakilh samer s.Alzyod Hans-Jorg Bart Chair of separation science and Technology POB 3049TU KaiserslauternKaiserslautern 67653Germany Center for Computational and Mathematical Modelling(CM2) TU KaiserslauternKaiserslautern 67653Germany University of Jordan Department of Chemical Engineering11942 AmmanJordan

This paper shows that one-dimensional （I-D） [and three-dimensional （3-D） computational fluid dynamics （CFD）] simulations can replace the state-of-the-art usage of pseudo-homogeneous dispersion or back mixing models. This is based on standardized lab-scale cell experiments for the determination of droplet rise, breakage, coalescence and mass transfer parameters in addition to a limited number of additional mini-plant experiments with original fluids. Alternatively, the hydrodynamic parameters can also be derived using more sophisticated 3- D CFD simulations. Computational 1-D modeling served as a basis to replace pilot-plant experiments in any column geometry. The combination of 3-D CFD simulations with droplet population balance models （DPBM） increased the accuracy of the hydrodynamic simulations and gave information about the local droplet size. The high computational costs can be reduced by open source CFD codes when using a flexible mesh generation. First combined simulations using a three way coupled CFD/DPBM/mass-transfer solver pave the way for a safer design of industrial-sized columns, where no correlations are available.

关键词： CFD DPBM Column design

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Is the robot necessary for enhanced recovery after minimally invasive surgery hepatectomy?

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Hepatobiliary surgery and Nutrition 2020年第2期9卷 219-220页

作者： Richard s.Hoehn samer T.Tohme David A.Geller Department of surgery Liver Cancer CenterUniversity of Pittsburgh Medical CenterPittsburghPAUSA

Minimally invasive surgery has become the standard of care for many operations,and laparoscopic liver resections have rapidly expanded over the past decade(1,2).In 2014,an international panel of liver surgeons determined that laparoscopic minor hepatectomy is either superior or equivalent to traditional open surgery for when performed by trained experts,depending on the outcomes examined(3).In fact,laparoscopic liver surgery has been found to be cost-effective compared to open surgery,owing to shorter length of stay,quicker recovery and less postoperative morbidity(4,5).Indications and use of laparoscopic liver surgery have expanded in recent years from minor resections to major resection and living donor liver transplant,with safe and acceptable outcomes(3).

关键词： surgery expanded robot

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An Optimal Framework for Alzheimer’s Disease Diagnosis

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Intelligent Automation & soft Computing 2023年第7期37卷 165-177页

作者： Amer Alsaraira samer Alabed Eyad Hamad Omar saraereh Biomedical Engineering Department School of Applied Medical SciencesGerman Jordanian UniversityAmman11180Jordan Department of electrical Engineering Faculty of EngineeringThe Hashemite UniversityZarqa13133Jordan

Alzheimer’s disease(AD)is a kind of progressive dementia that is frequently accompanied by brain *** the use of the morpho-logical characteristics of MRI brain scans,this paper proposed a method for diagnosing moderate cognitive impairment(MCI)and *** anatom-ical features of 818 subjects were calculated using the Freesurfer software,and the data were taken from the ADNI *** features were first removed from the dataset after being preprocessed with an age correction algorithm using linear regression to estimate the effects of normal *** these preprocessed characteristics,the extreme learning machine served as a classifier for the diagnosis of AD and *** determining accuracy,sensitivity,specificity,and area under the curve,ten-fold cross validation was *** accuracy of AD diagnosis was 87.62 percent on average after 100 runs,while the area under curve was 94.25 *** sensitivity of the MCI diagnosis was 83.88 percent,while the accuracy was 73.38 *** age correction can help diagnose MCI more *** outcomes showed that the proposed strategy for diagnosing AD and MCI was more effective than existing methods.

关键词： Biomedical engineering healthcare machine learning cognition

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