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Applying ANN,ANFIS and LSSVM Models for Estimation of Acid Solvent Solubility in Supercritical CO_(2)

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Computers, Materials & Continua 2020年第6期63卷 1175-1204页

作者： Amin Bemani Alireza Baghban Shahaboddin Shamshirband Amir Mosavi Peter csiba Annamaria R.Varkonyi-Koczy Petroleum Engineering Department Petroleum University of TechnologyAhwazIran Chemical Engineering Department Amirkabir University of TechnologyMahshahr CampusMahshahrIran Department for Management of Science and Technology Development Ton Duc Thang UniversityHo Chi MinhVietnam Faculty of Information Technology Ton Duc Thang UniversityHo Chi MinhVietnam Kalman Kando Faculty of Electrical Engineering Obuda UniversityBudapest1034Hungary Institute of Structural Mechanics Bauhaus University WeimarWeimarD-99423Germany Department of Mathematics and Informatics J.Selye UniversityKomarno94501Slovakia

In the present work,a novel machine learning computational investigation is carried out to accurately predict the solubility of different acids in supercritical carbon *** different machine learning algorithms of radial basis function,multi-layer perceptron(MLP),artificial neural networks(ANN),least squares support vector machine(LSSVM)and adaptive neuro-fuzzy inference system(ANFIS)are used to model the solubility of different acids in carbon dioxide based on the temperature,pressure,hydrogen number,carbon number,molecular weight,and the dissociation constant of *** evaluate the proposed models,different graphical and statistical analyses,along with novel sensitivity analysis,are carried *** present study proposes an efficient tool for acid solubility estimation in supercritical carbon dioxide,which can be highly beneficial for engineers and chemists to predict operational conditions in industries.

关键词： Supercritical carbon dioxide machine learning acid artificial intelligence solubility artificial neural networks(ANN) adaptive neuro-fuzzy inference system(ANFIS) least-squares support vector machine(LSSVM) multilayer perceptron(MLP)

Performance Evaluation of Supervised Machine Learning Techniques for Efficient Detection of Emotions from Online Content

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Computers, Materials & Continua 2020年第6期63卷 1093-1118页

作者： Muhammad Zubair Asghar Fazli Subhan Muhammad Imran Fazal Masud Kundi Adil Khan Shahboddin Shamshirband Amir Mosavi Peter csiba Annamaria RVarkonyi Koczy Institute of Computing and Information Technology Gomal UniversityDIKhan29050Pakistan National University of Modern Languages IslamabadPakistan Higher Education Commission Khyber PakhtunkhwaPakistan Department for Management of Science and Technology Development Ton Duc Thang UniversityHo Chi MinhVietnam Faculty of Information Technology Ton Duc Thang UniversityHo Chi MinhVietnam Kando Kalman Faculty of Electrical Engineering Obuda UniversityBudapestHungary Institute of Structural Mechanics Bauhaus-Universität WeimarWeimar99423Germany Department of Mathematics and Informatics J.Selye UniversityKomarno94501Slovakia

Emotion detection from the text is a challenging problem in the text *** opinion mining experts are focusing on the development of emotion detection applications as they have received considerable attention of online community including users and business organization for collecting and interpreting public ***,most of the existing works on emotion detection used less efficient machine learning classifiers with limited datasets,resulting in performance *** overcome this issue,this work aims at the evaluation of the performance of different machine learning classifiers on a benchmark emotion *** experimental results show the performance of different machine learning classifiers in terms of different evaluation metrics like precision,recall ad ***,a classifier with the best performance is recommended for the emotion classification.

关键词： Emotion classification machine learning classifiers ISEAR dataset performance evaluation

Discrepancies between clinical and autopsy findings in patients who had an acute stroke

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Stroke & Vascular Neurology 2022年第3期7卷 215-221页

作者： Lilla Hudák Attila Csaba Nagy Sarolta Molnár Gábor Méhes katalin Erzsébet Nagy LászlóOláh Lászlócsiba Department of Neurology University of Debrecen Faculty of MedicineDebrecenHungary Department of Preventive Medicine University of Debrecen Faculty of Public HealthDebrecenHungary Department of Pathology University of Debrecen Clinical CenterDebrecenHungary Doctoral School of Neuroscience University of Debrecen Faculty of MedicineDebrecenHungary

Objectives According to international observations,the incidence of clinical autopsies is declining worldwide,plummeting below 5%in the USA and many European *** is an unfavourable trend as,in 7%-12%of cases,recent clinicopathological studies found discrepancies that might have changed the therapy or the outcome if known *** previous large-scale observations have examined varied patient populations,we aimed to focus on the differences between the clinical and pathological diagnostic findings in only patients who had a *** and methods We assessed the postmortem non-neuropathological and neuropathological findings of 534 consecutive patients who had a stroke who passed *** neoplasms,pneumonias,thromboembolisms and haemorrhagic transformations revealed only by autopsy were considered severe abnormalities;in addition,benign abnormalities important from an educational or scientific point of view were also *** In 26 of the 534 cases(4.9%),the presence of systemic neoplasms had already been confirmed in the clinical stage;however,8(1.5%)malignant tumours were only detected during ***,80(15%)thromboembolic events,73(13.6%)pneumonias and 66(18%)haemorrhagic transformations were only diagnosed at *** hospital stay(from admission to death)resulted in fewer discrepancies between clinical and autopsy diagnosis of thromboembolic events and pneumonias(p<0.01).In 169 cases,benign findings were *** While the type of acute stroke is reliably diagnosed with imaging techniques,postmortem autopsies are also important in patients who had a stroke as autopsies may reveal clinically silent diseases(eg,tumour),and contribute to knowing the actual incidence of stroke-related thromboembolic and pneumonia complications.

关键词： neoplasms clinical finding

Ankle-Foot Continuous Passive Motion Device for Mobilization of Acute Stroke Patients

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Open Journal of Therapy and Rehabilitation 2015年第2期3卷 23-34页

作者： Csilla Vér Gergely Hofgárt László Menyhárt László Kardos László csiba Department of Neurology University of Debrecen Debrecen Hungary Medical Systems Hungary Ltd. Debrecen Hungary Kenézy Gyula County Hospital Debrecen Hungary

Purpose: To develop a continuous passive motion (CPM) device for the passive motion of the paretic ankle-foot and investigate the effect of continuous passive motion of bedridden, hemiparetic acute stroke patients. Methods: 49 patients with stroke were investigated. Results in stroke patients (device group) were compared with those of 15 control subjects (manual group) also with stroke but not treated by device. The period of the treatment was 7 days;the duration was 30 minutes per day by CPM device in the device group. The efficacy of the device was evaluated by scales used in the clinical routine (6th item of National Institutes of Health Stroke Scale (NIHSS), Modified Ashworth Scale (MAS), modified Rankin Scale (mRS)). Ankle’s passive range of motion (PROM) and flexible equinovalgus deformitiy were measured every day with a goniometer. Results: 6th item of NIHSS score improved by -0.76 (SD = 0.56) points in the device group (p < 0.001) compared to the baseline values;the mean change in the manual group was -0.33 (SD = 0.62) points (p = 0.055). The mean of MAS decreased significantly by -0.53 (SD = 1.12) point in the device group (p < 0.001). The ankle’s mean plantar flexion PROM increased by 3.41 (SD = 5.19) degrees in the device group (p < 0.001). Significant improvement of the mean dorsiflexion in the PROM of the ankle was also detected (p = 0.019). The equinovalgus improved significantly by -5.12 (SD = 8.02) degrees (p < 0.001) in the device group. The scores of the mRS also improved significantly in the device group (p < 0.001). Conclusion: In the early phase of rehabilitation, ankle-foot continuous passive motion device treatment combined with manual therapy improved the ankle’s PROM better than manual therapy alone;in addition, device treatment decreased the foot’s equinovalgus, improved the 6th item NIHSS score, and decreased the severity of spasticity.

关键词： Stroke Ankle Continuous Passive Motion Equinovalgus

Nutritional Status,Sarcopenia and the Importance of Prehabilitation of Gastrointestinal Tumor Patients:a Surgical Point of View

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Journal of Nutritional Oncology 2020年第3期5卷 132-136页

作者： Péter Lukovich Ákos Nagy Bianka Barok Borbála csiba Ram Rokka Balázs Pőcze Department of Surgery St.John HospitalDiósárok 1-31125 BudapestHungary

Background Surgery may be the field of healthcare where malnutrition and sarcopenia have their greatest impact on patient morbidity and ***,there are limited data on the nutritional status of surgical patients and the effects of prehabilitation on the outcomes of *** A prospective analysis was conducted on all patients surgically-treated for malignant gastrointestinal tumors at *** Hospital during a two-year *** patient’s gender,age,body weight,height,BMI and weight loss were registered,then a risk score was determined by the MUST *** of the triceps and thigh skin-fold thickness and the circumference of the upper arm and thigh were done to calculate muscle area and muscle index,*** body composition was assessed using an OMRON-BF511 *** function was evaluated based on hand clamping force measurement and activity *** who were diagnosed as being at-risk received preoperative prehabilitation,which included physiotherapy and nutritional *** A total of 231 patients(133 males/98 females)were *** had a mean age of 68.9 years(18~98).Seventy-four patients(32%)lost weight,with an average loss of 7 kilograms(3~15 kg).Anthropometric data showed an average upper-arm circumference of 27.4 cm(14.3~38.1)and thigh circumference of 44.7 cm(19.3~60.1),so the median muscle index was *** mean BMI was 26,which is above normal,and the elevated BMI was consistent documented in each patient subgroup stratified by age and tumor type.A body composition analysis was performed for 75 patients(44 male/31 female),who had a median age of 68(37~88 y).The average BMI of these patients was 25.7 y and their average MUST score was *** total body fat percentage(of the total body mass)was 29.5%,total muscle was 30.1%and visceral fat was 10%.Thirty patients(40%)had sarcopenia,with a mean BMI of 28.7,fat comprising 34.2%of the body mass,visceral-fat 11%,and muscle 27.1%,and their median MUST

关键词： Sarcopenia Surgery Gastrointestinal tumor Prehabilitation Obesity Nutritional therapy