Showing papers by "Celal Bayar University published in 2021"
TL;DR: In this paper, an effective sarcasm identification framework on social media data by pursuing the paradigms of neural language models and deep neural networks is presented. But sarcasm detection on text documents is one of the most challenging tasks in NLP.
Abstract: Sarcasm identification on text documents is one of the most challenging tasks in natural language processing (NLP), has become an essential research direction, due to its prevalence on social media data. The purpose of our research is to present an effective sarcasm identification framework on social media data by pursuing the paradigms of neural language models and deep neural networks. To represent text documents, we introduce inverse gravity moment based term weighted word embedding model with trigrams. In this way, critical words/terms have higher values by keeping the word-ordering information. In our model, we present a three-layer stacked bidirectional long short-term memory architecture to identify sarcastic text documents. For the evaluation task, the presented framework has been evaluated on three-sarcasm identification corpus. In the empirical analysis, three neural language models (i.e., word2vec, fastText and GloVe), two unsupervised term weighting functions (i.e., term-frequency, and TF-IDF) and eight supervised term weighting functions (i.e., odds ratio, relevance frequency, balanced distributional concentration, inverse question frequency-question frequency-inverse category frequency, short text weighting, inverse gravity moment, regularized entropy and inverse false negative-true positive-inverse category frequency) have been evaluated. For sarcasm identification task, the presented model yields promising results with a classification accuracy of 95.30%.
182 citations
University of Marburg1, Wrocław Medical University2, Swiss Institute of Allergy and Asthma Research3, University of Montpellier4, Humboldt University of Berlin5, Medical University of Vienna6, Stanford University7, First Faculty of Medicine, Charles University in Prague8, University of Groningen9, Lund University10, University of Toronto11, University of Amsterdam12, IT University13, Monash University14, University College Cork15, Augsburg College16, Technische Universität München17, National University of Singapore18, Beijing Tongren Hospital19, National Institutes of Health20, Catholic University of the Sacred Heart21, King's College London22, Boston Children's Hospital23, University of Cagliari24, Charité25, Medical University of Silesia26, Istanbul University27, Cliniques Universitaires Saint-Luc28, Utrecht University29, University of Helsinki30, University of Southern Denmark31, Complutense University of Madrid32, Hospital Sant Joan de Déu Barcelona33, University of Edinburgh34, Nofer Institute of Occupational Medicine35, Sun Yat-sen University36, Karolinska Institutet37, Ghent University Hospital38, Woolcock Institute of Medical Research39, University of Turin40, Humanitas University41, Universidade Nova de Lisboa42, Federal University of Bahia43, University of Porto44, Medical University of Łódź45, Vilnius University46, Hospital Kuala Lumpur47, University of Barcelona48, Johns Hopkins University49, Chiba University50, National and Kapodistrian University of Athens51, University of Manchester52, University of Genoa53, University of Coimbra54, Medical University of Warsaw55, University of Copenhagen56, University of Bari57, Celal Bayar University58, Transylvania University59
TL;DR: Allergists and other healthcare providers in the field of allergies and associated airway diseases are on the front line, taking care of patients potentially infected with SARS‐CoV‐2, so strategies and practices to minimize risks of infection have to be developed and followed.
Abstract: Background The Coronavirus disease 2019 (COVID-19) has evolved as a pandemic infectious disease transmitted by the severe acute respiratory syndrome coronavirus (SARS-CoV-)2. Allergists and other health care providers (HCPs) in the field of allergies and associated airway diseases are in the front line, taking care of patients potentially infected with SARS-CoV-2. Hence, strategies and practices to minimize risks of infection for both HCPs and treated patients have to be developed and followed by allergy clinics. Method The scientific information on COVID-19 was analyzed by a literature search in Medline, Pubmed, national and international guidelines from the European Academy of Allergy and Clinical Immunology (EAACI), the Cochrane Library and the Internet. Results Based on diagnostic and treatment standards developed by EAACI, on international information regarding COVID-19, on guidelines of the World Health Organization (WHO) and other international organizations as well as on previous experience, a panel of experts including clinicians, psychologists, IT experts and basic scientists along with EAACI and the "Allergic Rhinitis and its Impact on Asthma (ARIA)" inititiative have developed recommendations for the optimal management of allergy clinics during the current COVID-19 pandemic. These recommendations are grouped into nine sections on different relevant aspects for the care of patients with allergies. Conclusions This international Position Paper provides recommendations on operational plans and procedures to maintain high standards in the daily clinical care of allergic patients whilst ensuring necessary safety in the current COVID-19 pandemic.
78 citations
Boston Children's Hospital1, University of Leicester2, University of Bern3, University of Aberdeen4, University of Southampton5, University Hospital Southampton NHS Foundation Trust6, Sapienza University of Rome7, University of Verona8, Cochrane Collaboration9, University of Groningen10, Celal Bayar University11, University of Vienna12
TL;DR: In this article, a Task Force (TF) supported by the European Respiratory Society has developed these evidence-based clinical practice guidelines for the diagnosis of asthma in children aged 5-16 years using nine PICO (Population, Intervention, Comparator and Outcome) questions.
Abstract: Diagnosing asthma in children represents an important clinical challenge. There is no single gold standard test to confirm the diagnosis. Consequently, both over-, and under-diagnosis of asthma are frequent in children. A Task Force (TF) supported by the European Respiratory Society has developed these evidence-based clinical practice guidelines for the diagnosis of asthma in children aged 5–16 years using nine PICO (Population, Intervention, Comparator and Outcome) questions. The TF conducted systematic literature searches for all PICO questions and screened the outputs from these, including relevant full text articles. All TF members approved the final decision for inclusion of research papers. The TF assessed the quality of the evidence using the GRADE (Grading of Recommendations, Assessment, Development and Evaluation) approach. The TF then developed a diagnostic algorithm based on the critical appraisal of the PICO questions, preferences expressed by lay members and test availability. Proposed cut-offs were determined based on the best available evidence. The TF formulated recommendations using the GRADE Evidence to Decision framework. Based on the critical appraisal of the evidence and the Evidence to Decision Framework the TF recommends spirometry, bronchodilator reversibility testing and FeNO as first line diagnostic tests in children under investigation for asthma. The TF recommends against diagnosing asthma in children based on clinical history alone or following a single abnormal objective test. Finally, this guideline also proposes a set of research priorities to improve asthma diagnosis in children in the future.
73 citations
TL;DR: In this paper, a gradient-based Grey Wolf Optimizer (GGWO) was proposed to solve well-known complex benchmark functions optimally for the first time in this field.
Abstract: This research proposes a new type of Grey Wolf optimizer named Gradient-based Grey Wolf Optimizer (GGWO) Using gradient information, we accelerated the convergence of the algorithm that enables us to solve well-known complex benchmark functions optimally for the first time in this field We also used the Gaussian walk and Levy flight to improve the exploration and exploitation capabilities of the GGWO to avoid trapping in local optima We apply the suggested method to several benchmark functions to show its efficiency The outcomes reveal that our algorithm performs superior to most existing algorithms in the literature in most benchmarks Moreover, we apply our algorithm for predicting the COVID-19 pandemic in the US Since the prediction of the epidemic is a complicated task due to its stochastic nature, presenting efficient methods to solve the problem is vital Since the healthcare system has a limited capacity, it is essential to predict the pandemic's future trend to avoid overload Our results predict that the US will have almost 16 million cases by the end of November The upcoming peak in the number of infected, ICU admitted cases would be mid-to-end November In the end, we proposed several managerial insights that will help the policymakers have a clearer vision about the growth of COVID-19 and avoid equipment shortages in healthcare systems
62 citations
Wrocław Medical University1, Swiss Institute of Allergy and Asthma Research2, University of Marburg3, Stanford University4, University of Toronto5, University of Cape Town6, Carol Davila University of Medicine and Pharmacy7, Charité8, University of Montpellier9, Catholic University of the Sacred Heart10, National Institutes of Health11, Woolcock Institute of Medical Research12, Laval University13, University of Turin14, University of Mainz15, Universidade Federal de Minas Gerais16, Humanitas University17, University of South Florida18, Sofia Medical University19, Federal University of Bahia20, University of Cagliari21, Huazhong University of Science and Technology22, Ain Shams University23, Wuhan University24, Istanbul University25, University of Helsinki26, University of Exeter27, Bethel University28, Medical University of Vienna29, University of Paris-Sud30, Ghent University Hospital31, Makerere University32, Utrecht University33, The Chinese University of Hong Kong34, National Institute for Health and Welfare35, Medical University of Łódź36, Semmelweis University37, Vilnius University38, Hospital Kuala Lumpur39, Karolinska Institutet40, Boston Children's Hospital41, University of Belgrade42, Tishreen University43, University of Barcelona44, Russian National Research Medical University45, St. Joseph's Healthcare Hamilton46, McMaster University47, Monash University48, University College Cork49, Chiba University50, Charles University in Prague51, University of Manchester52, University of Genoa53, Nippon Medical School54, École Polytechnique55, University of Coimbra56, Emek Medical Center57, Technion – Israel Institute of Technology58, Medical University of Warsaw59, Complutense University of Madrid60, University of Edinburgh61, University of Palermo62, University of São Paulo63, University of Copenhagen64, University of Beira Interior65, Medical University of Graz66, University of Crete67, European Union of Medical Specialists68, University of Bari69, National University of Singapore70, Celal Bayar University71, National University of Villa María72, Transylvania University73
62 citations
TL;DR: In this article, performance assessment of a PCM filled three dimensional vertical cylinder is conducted under the combined effects of surface corrugation and presence of binary nanoparticles in the heat transfer fluid.
60 citations
University of Lugano1, Norwegian University of Science and Technology2, University of the Algarve3, University College Dublin4, University of Porto5, Polish Academy of Sciences6, University of Valencia7, Ege University8, Spanish National Research Council9, Celal Bayar University10, University of La Laguna11, University of Montenegro12, Riga Technical University13, Robert Gordon University14, University of Akureyri15, Çukurova University16, University of Limerick17, Universidade Nova de Lisboa18, University of Zagreb19, Klaipėda University20, University of Tartu21, University of Sarajevo22, Vilnius University23, Scottish Association for Marine Science24, University of Kiel25, National Institute of Oceanography, India26, French Institute of Health and Medical Research27, University of Latvia28, Jožef Stefan Institute29, Academy of Sciences of the Czech Republic30, Leibniz Institute of Marine Sciences31, National University of Ireland32, University of Gdańsk33, University of Turin34, Cyprus University of Technology35
TL;DR: In this article, the authors synthesize the essence, opportunities, responsibilities, and challenges encountered in marine biotechnology and outline the attainment and valorization of directly derived or bio-inspired products from marine organisms.
Abstract: Coastal countries have traditionally relied on the existing marine resources (e.g., fishing, food, transport, recreation, and tourism) as well as tried to support new economic endeavors (ocean energy, desalination for water supply, and seabed mining). Modern societies and lifestyle resulted in an increased demand for dietary diversity, better health and well-being, new biomedicines, natural cosmeceuticals, environmental conservation, and sustainable energy sources. These societal needs stimulated the interest of researchers on the diverse and underexplored marine environments as promising and sustainable sources of biomolecules and biomass, and they are addressed by the emerging field of marine (blue) biotechnology. Blue biotechnology provides opportunities for a wide range of initiatives of commercial interest for the pharmaceutical, biomedical, cosmetic, nutraceutical, food, feed, agricultural, and related industries. This article synthesizes the essence, opportunities, responsibilities, and challenges encountered in marine biotechnology and outlines the attainment and valorization of directly derived or bio-inspired products from marine organisms. First, the concept of bioeconomy is introduced. Then, the diversity of marine bioresources including an overview of the most prominent marine organisms and their potential for biotechnological uses are described. This is followed by introducing methodologies for exploration of these resources and the main use case scenarios in energy, food and feed, agronomy, bioremediation and climate change, cosmeceuticals, bio-inspired materials, healthcare, and well-being sectors. The key aspects in the fields of legislation and funding are provided, with the emphasis on the importance of communication and stakeholder engagement at all levels of biotechnology development. Finally, vital overarching concepts, such as the quadruple helix and Responsible Research and Innovation principle are highlighted as important to follow within the marine biotechnology field. The authors of this review are collaborating under the European Commission-funded Cooperation in Science and Technology (COST) Action Ocean4Biotech – European transdisciplinary networking platform for marine biotechnology and focus the study on the European state of affairs.
49 citations
Woolcock Institute of Medical Research1, Monroe Carell Jr. Children's Hospital at Vanderbilt2, University of Cape Town3, University of Leicester4, Ghent University Hospital5, University of Mainz6, Federal University of Bahia7, Erasmus University Rotterdam8, Harvard University9, University of British Columbia10, Imperial College London11, Kagoshima University12, The Chinese University of Hong Kong13, University of Illinois at Chicago14, Laval University15, China-Japan Friendship Hospital16, Liverpool School of Tropical Medicine17, University of Edinburgh18, Celal Bayar University19
TL;DR: The Global Initiative for Asthma (GINA) Strategy Report provides clinicians with an annually updated evidence-based strategy for asthma management and prevention, which can be adapted for local circumstances (e.g., medication availability) as discussed by the authors.
48 citations
TL;DR: In this paper, the authors highlight the utilization of gelled emulsion (GE) systems containing peanut and linseed oils to replace beef fat partially or completely in emulsified sausages.
45 citations
TL;DR: In this article, the effects of using magnetic field and packed bed phase change material (PCM) system in a 3D cavity having ventilation ports on the performance improvements are analyzed during hybrid nanoliquid convection.
41 citations
Abstract: In the current study, magnetohydrodynamics mixed convective flow of Ag–MgO/water hybrid nanofluid in a triangular shaped partitioned cavity involving a porous layer is numerically investigated by using the finite element method. In the numerical simulation, various effects of pertinent parameters such as Richardson number (between 0.01 and 100), Hartmann number (between 0 and 60), magnetic field inclination angle (between 0 and 90), Darcy number (between $$10^{-4}$$
and $$5 \times 10^{-2}$$
), location of the vertex of triangular porous region (between 0.2 and 0.8 H) and hybrid nanoparticle solid volume fraction (
$$\phi _1$$
between 0 and 0.01, $$\phi _2$$
between 0 and 0.01) on the fluid flow and convective heat transfer features are examined. It was observed that a large vortex is established below the main vortex near the upper wall for the lowest value Ri number. At the highest magnetic field strength, multi-recirculation flow pattern is seen in the right bottom corner. The average heat transfer enhances with higher values of permeability of the porous medium, magnetic field inclination angle, distance of the porous layer vertex from the hot wall and solid nanoparticle volume fraction of each particles in the hybrid nanofluid. The impact is reverse for higher values of Richardson number and Hartmann number. In the current work, significant changes in the average Nusselt number are obtained by varying the location of the porous medium. The triangular shaped porous compound can be used as an excellent tool for convective heat transfer control.
TL;DR: MASK digital anamorphosis represents the process used by MASK to develop the digital transformation of health and care in rhinitis and strengthens the ARIA change management strategy in the prevention and management of airway disease.
Abstract: Digital anamorphosis is used to define a distorted image of health and care that may be viewed correctly using digital tools and strategies. MASK digital anamorphosis represents the process used by MASK to develop the digital transformation of health and care in rhinitis. It strengthens the ARIA change management strategy in the prevention and management of airway disease. The MASK strategy is based on validated digital tools. Using the MASK digital tool and the CARAT online enhanced clinical framework, solutions for practical steps of digital enhancement of care are proposed.
TL;DR: In this article, three different PVT-air collectors have been designed, manufactured and experimentally analyzed including conventional (PVT), with paraffin-based thermal energy storage unit (TES) and with nano-enhanced Paraffinbased Thermal Energy Storing Unit (PTES) with copper oxide (CuO) nanoparticles.
Abstract: Electrical and thermal energy can be generated simultaneously by using photovoltaic-thermal (PVT) systems. Also, electrical efficiency can be enhanced by cooling the PV panel. In this study, three different PVT-air collectors have been designed, manufactured and experimentally analyzed including conventional (PVT), with paraffin-based thermal energy storage unit (PVT-TES) and with nano-enhanced paraffin-based thermal energy storage unit (PVT-NeTES). Copper oxide (CuO) nanoparticles (1 wt%) have been utilized to upgrade the thermal conductivity of the phase change material. Tests have been performed in two flow rates (0.007 and 0.014 kg/s). According to experimental results, overall exergy efficiencies for PVT, PVT-TES and PVT-NeTES were achieved between 10.52–13.59%, 11.08–14.36% and 12.52–15.44%, respectively. Moreover, sustainability index (SI) values were attained in the range of 1.12–1.16, 1.13–1.17 and 1.14–1.18, respectively. Obtained findings showed that utilizing nano-enhanced thermal energy storage system and increasing flow rate significantly upgraded both electrical and thermal performances of the PVT system.
TL;DR: A 41-year-old woman with no cardiovascular risk factors was admitted at the emergency department with flushing, palpitation, dyspnea, and chest pain 15 min after the first dose of inactivated CoronaVac (Sinovac Life Sciences, Beijing, China) as discussed by the authors.
Abstract: Background Vaccination is the most important way out of the novel coronavirus disease 2019 (COVID-19) pandemic. Vaccination practices have started in different countries for community immunity. In this process, health authorities in different countries have preferred different type of COVID-19 vaccines. Inactivated COVID-19 vaccine is one of these options and has been administered to more than 7 million people in Turkey. Inactivated vaccines are generally considered safe. Kounis syndrome (KS) is a rare clinical condition defined as the co-existence of acute coronary syndromes and allergic reactions. Case Report We present the case of a 41-year-old woman with no cardiovascular risk factors who was admitted at our emergency department with flushing, palpitation, dyspnea, and chest pain 15 min after the first dose of inactivated CoronaVac (Sinovac Life Sciences, Beijing, China). Electrocardiogram (ECG) showed V4-6 T wave inversion, and echocardiography revealed left ventricular wall motion abnormalities. Troponin-I level on arrival was elevated. Coronary angiography showed no sign of coronary atherosclerosis. She was diagnosed with type 1 KS. The patient's symptoms resolved and she was discharged from hospital in a good condition. Why Should an Emergency Physician Be Aware of This? To the best of our knowledge, this is the first case of allergic myocardial infarction secondary to inactivated coronavirus vaccine. This case demonstrates that KS can occur after inactivated virus vaccine against COVID-19. Although the risk of severe allergic reaction after administration of CoronaVac seems to be very low, people who developed chest pain after vaccine administration should be followed by ECG and troponin measurements.
TL;DR: In this paper, a thermal flow system configuration with rotating cylinders and nanofluids in channel to increase the powers generated in the TEG module mounted between the channels is presented.
01 Oct 2021
TL;DR: In this paper, the authors present the present status, prospects, and update information about the renewable and sustainable energy source in Bangladesh, the review also discussed to provide the guideline for the government would successfully end their plan.
Abstract: The power sector in Bangladesh is dependent on fossil fuels like natural gas, furnace oil, diesel, and coal. In the fiscal year 2019-20, electricity generated in Bangladesh from natural gas about 71.82%, from furnace oil about 13.25%, from diesel about 0.20%, from coal about 4.16%, from renewable energy sources about 1.23%. Imported from the nearest country by having been connected to a grid line was about 9.34% of electricity within this year. A new record for the Bangladesh the power plants produced 12,893-MW (MW) electricity on 29 May 2019, the record-breaking generation took place against the forecasted demand of 14,796 MW. Generally, in the summer season, produced electricity cannot fulfill the country's demand as a barrier for industrial production and socio-economic infrastructure development. Overcome these problems the renewable energy sources can be more helpful for the electricity generation in Bangladesh. The government encourages people in rural areas to using renewable energy-based electricity like solar energy. Within the year 2021, they are planning to generate 10% of electricity from renewable energy sources. However, they have no success to generate a significant amount of total electricity from renewable energy sources in 2020. Herein, this review represents the present status, prospects, and update information about the renewable and sustainable energy source in Bangladesh. The review also discussed to provide the guideline for the government would successfully end their plan.
TL;DR: In this paper, a fractional optimal control model is formulated in Atangana-Baleanu-Caputo derivative sense and the reproduction number and steady state of disease free of the Coronavirus model are examined and found to be globally stable.
TL;DR: In this paper, the phase change dynamics of a 3D cylinder containing hybrid nanofluid and phase change material (PCM) was investigated with a finite element solver, and the flow dynamics and separated flow regions were found to be greatly influenced by the rotational speed and size of the inner disk.
Abstract: In this numerical study, the phase change dynamics of a 3D cylinder containing hybrid nanofluid and phase change material (PCM) is investigated with a finite element solver. The PCM consists of spherical encapsulated paraffin wax, and the flow is under the forced convection regime. The dynamic features of the phase change process are studied for different values of the Reynolds number (between Re=100 and 300), the rotational Reynolds number of the inner disk (Rew=0 and 300), and the size of the rotating disk (length between 0.1L and 0.55L; height between 0.001H2 and 0.4H2). The flow dynamics and separated flow regions are found to be greatly influenced by the rotational speed and size of the inner disk. As Re is increased, the difference between the transition times at different rotational disk speeds decreases. At Re=100, a 21% reduction in the phase transition time is observed when the inner disk rotates at the highest speed as compared to the motionless case. Up to a 26% variation in the phase transition time occurs when the size of the inner rotating disk is varied. A 5 input-1 output feed-forward artificial neural network is applied to achieve fast and reliable predictions of the phase change dynamics. This study shows that introducing rotational effects can have a profound effect on the phase change dynamics of a hybrid nanofluid system containing phase change material.
TL;DR: In this paper, the simulation of hybrid Ag-MgO/water nanofluid in a three-dimensional T-shaped vented cavity with multiple ports under the effects of a inner rotating cone and magnetic field is numerically studied with finite volume method.
Abstract: Forced convection of hybrid Ag–MgO/water nanofluid in a three-dimensional T-shaped vented cavity with multiple ports under the effects of a inner rotating cone and magnetic field is numerically studied with finite volume method. The simulation is performed for various values of parameters such as: Reynolds number (between 100 and 1000), Hartmann number (between 0 and 60), angular velocity of the rotating cone (between − 200 rad/s and 0), aspect ratio of the circular cylinders of the base of the cone (between 0.5 and 2) and nanoparticle solid volume fraction of the hybrid nanofluid (
$$\phi _1$$
between 0 and 0.01, $$\phi _2$$
between 0 and 0.01). It was observed that the average heat transfer rate rises with higher values of Reynolds number, Hartmann number above a specified value, angular rotational speed of the cone, aspect ratio of the cone for values above 1 and solid nanoparticle volume fractions of the hybrid particles. In total, 61% of average heat transfer enhancement for left horizontal upper surface is achieved with the imposed magnetic field. The enhancement in the average Nusselt numbers is 25.6% for the rotating cone at the highest angular velocity as compared to a motionless one. The average heat transfer increases almost linearly with hybrid solid nanoparticle volume fraction, while 8.96% and 15.52% enhancements are obtained for varying the solid volume fraction of the particles with the lower and higher thermal conductivity up to 0.01.
University of Copenhagen1, University of Düsseldorf2, Queensland University of Technology3, European Environment Agency4, Finnish Environment Institute5, Celal Bayar University6, Health Effects Institute7, World Health Organization8, Utrecht University9, Imperial College London10, Beth Israel Deaconess Medical Center11, Karolinska Institutet12, European Respiratory Society13, University of Cagliari14, National Institutes of Health15
TL;DR: The potential role of air pollution in the spread and worsening of health impacts of COVID-19, and the influence of the pandemic on air pollution levels in Europe is explored in this paper.
Abstract: The potential role of air pollution in the spread and worsening of health impacts of COVID-19, and the influence of the pandemic on air pollution levels in Europe is explored. We outline the major lessons learned to chart a healthy post-pandemic course.
TL;DR: In this article, double rotating cylinders and partly porous layers in the bifurcating channels were numerically assessed for the performance of the hydro-thermal performance in water and finite element solver.
Queensland University of Technology1, Second Military Medical University2, Celal Bayar University3, CHU Ambroise Paré4, University of Paris5, University of Aberdeen6, Tehran University of Medical Sciences7, Leeds Teaching Hospitals NHS Trust8, University of Leeds9, National Yang-Ming University10, University of Otago11, Hanyang University12, University of Queensland13, Chung Shan Medical University14, China Medical University (Taiwan)15, QIMR Berghofer Medical Research Institute16, University of Texas Southwestern Medical Center17, Wenzhou Medical College18, Griffith University19, Wenzhou University20, Capital Medical University21, Cedars-Sinai Medical Center22, University of California, San Francisco23, National Institutes of Health24, University of Texas Health Science Center at Houston25, University of Oxford26, Tsinghua University27, First Affiliated Hospital of Wenzhou Medical University28, King's College London29
TL;DR: Polygenic risk scores (PRSs) have strong capacity to discriminate cases of ankylosing spondylitis (AS) from healthy controls and individuals in the community with chronic back pain this paper.
Abstract: Objective We sought to test the hypothesis that Polygenic Risk Scores (PRSs) have strong capacity to discriminate cases of ankylosing spondylitis (AS) from healthy controls and individuals in the community with chronic back pain. Methods PRSs were developed and validated in individuals of European and East Asian ethnicity, using data from genome-wide association studies in 15 585 AS cases and 20 452 controls. The discriminatory values of PRSs in these populations were compared with other widely used diagnostic tests, including C-reactive protein (CRP), HLA-B27 and sacroiliac MRI. Results In people of European descent, PRS had high discriminatory capacity with area under the curve (AUC) in receiver operator characteristic analysis of 0.924. This was significantly better than for HLA-B27 testing alone (AUC=0.869), MRI (AUC=0.885) or C-reactive protein (AUC=0.700). PRS developed and validated in individuals of East Asian descent performed similarly (AUC=0.948). Assuming a prior probability of AS of 10% such as in patients with chronic back pain under 45 years of age, compared with HLA-B27 testing alone, PRS provides higher positive values for 35% of patients and negative predictive values for 67.5% of patients. For PRS, in people of European descent, the maximum positive predictive value was 78.2% and negative predictive value was 100%, whereas for HLA-B27, these values were 51.9% and 97.9%, respectively. Conclusions PRS have higher discriminatory capacity for AS than CRP, sacroiliac MRI or HLA-B27 status alone. For optimal performance, PRS should be developed for use in the specific ethnic groups to which they are to be applied.
TL;DR: In this article, the impact of the sub-dimensions of source credibility (attractiveness, trustworthiness, and expertise) on source credibility was investigated, and the primary objective of the study was to determine the impact.
Abstract: The primary objective of this study is to determine the impact of the sub-dimensions of source credibility (attractiveness, trustworthiness and expertise), and its secondary objective is to investi...
Wrocław Medical University1, Swiss Institute of Allergy and Asthma Research2, Transylvania University3, Humboldt University of Berlin4, University of Barcelona5, University of Genoa6, Universidade Federal de Minas Gerais7, University of Cartagena8, University of South Florida9, McMaster University10, Eskişehir Osmangazi University11, University of Minho12, University of Cagliari13, Saint Louis University14, Ain Shams University15, Vilnius University16, University of Porto17, Istanbul University18, University of Helsinki19, Bethel University20, Chiba University21, Gdańsk Medical University22, Hacettepe University23, Medical University of Łódź24, University of Dundee25, National and Kapodistrian University of Athens26, Tishreen University27, University of Malta28, Johns Hopkins University29, Monash University30, Nippon Medical School31, Charles University in Prague32, University of Manchester33, University of Marburg34, Boston Children's Hospital35, University of Crete36, Humanitas University37, Medical University of Warsaw38, Helsinki University Central Hospital39, University of Coimbra40, University of Amsterdam41, Emek Medical Center42, University of Edinburgh43, Complutense University of Madrid44, Federal University of São Paulo45, University of Salerno46, Copenhagen University Hospital47, European Union of Medical Specialists48, University of Turku49, University of Bari50, Nova Southeastern University51, National University of Singapore52, Celal Bayar University53, National University of Villa María54, University of Montpellier55
TL;DR: In this article, a modified Delphi approach was used to differentiate upper respiratory symptoms between COVID-19, the common cold and allergic rhinitis, and a two-way ANOVA revealed significant differences in the symptom intensity between the three diseases.
Abstract: BACKGROUND: Although there are many asymptomatic patients, one of the problems of COVID-19 is early recognition of the disease. COVID-19 symptoms are polymorphic and may include upper respiratory symptoms. However, COVID-19 symptoms may be mistaken with the common cold or allergic rhinitis. An ARIA-EAACI study group attempted to differentiate upper respiratory symptoms between the three diseases. METHODS: A modified Delphi process was used. The ARIA members who were seeing COVID-19 patients were asked to fill in a questionnaire on the upper airway symptoms of COVID-19, common cold and allergic rhinitis. RESULTS: Among the 192 ARIA members who were invited to respond to the questionnaire, 89 responded and 87 questionnaires were analysed. The consensus was then reported. A two-way ANOVA revealed significant differences in the symptom intensity between the three diseases (p < .001). CONCLUSIONS: This modified Delphi approach enabled the differentiation of upper respiratory symptoms between COVID-19, the common cold and allergic rhinitis. An electronic algorithm will be devised using the questionnaire.
TL;DR: To cope with the handicaps mentioned, artificial neural networks and support vector regression were separately embedded into a monthly lumped CRR model and the credibility of a novel modeling strategy, which takes advantage of the supplementary strengths of a conceptual model and different ML techniques, was demonstrated.
TL;DR: In this article, a series of BaSi2O5:RE3+ (RE=Dy, Sm) phosphors varying with the substitution of Ba2+ were prepared using a gel-combustion method.
TL;DR: Computational results indicate that the proposed hybrid metaheuristic algorithm has a satisfactory performance in solving the LRP instances and is a competitive algorithm.
Abstract: This paper proposes a new hybrid metaheuristic algorithm that is composed of the adaptive large neighbourhood search (ALNS) and the variable neighbourhood search (VNS) algorithms to tackle the location routing problem (LRP) with capacity constraints. The rationale of the proposed hybrid metaheuristic algorithm is to enhance the performance of the ALNS algorithm by incorporating the VNS algorithm as an elitist local search. Therefore, the diversification and intensification strategies of the proposed hybrid metaheuristic algorithm are realized via the ALNS and VNS algorithms, respectively. The performance evaluation tests of the proposed hybrid metaheuristic algorithm are performed on the three classical LRP benchmark sets taken from the related literature, and the obtained results are compared against some of the formerly proposed and published methods in terms of solution quality. Computational results indicate that the proposed hybrid metaheuristic algorithm has a satisfactory performance in solving the LRP instances and is a competitive algorithm.
TL;DR: In this paper, the effect of ultrasound combined microwave (US-MW) drying of green olive slices was studied and the results showed that US-MW can be a useful combine drying method for olive slices which decreased the drying time and improved the qualitative properties of olives.
Abstract: In this study, the effect of ultrasound (US) combined microwave (MW) drying of green olive slices was studied. Olive samples were exposed to ultrasound (5 and 10 minutes; 32 KHz) at room temperature before dried at microwave at 3 different power level (180W, 450 W and 800 W). The drying and rehydration characteristics and quality parameters of olives were determined by comparing with obtained by non-ultrasound pretreated MW dried samples. Midilli et al and Diffusion models were the most suitable models for US-MW drying with the highest R2, and lowest RMSE and chi square values. Total phenolic compounds (TPC) of olive slices reduced during drying in all treatments, however TPC of ultrasound pretreated samples were relatively higher those non treated samples dried at same microwave. Increasing of microwave level and ultrasound time decreased the total drying time up to %42.5. This study showed that US-MW can be a useful combine drying method for olive slices which decreased the drying time and improved the qualitative properties of olives.
TL;DR: A novel robust formulation designed for optimizing the parameters of the turning process in an uncertain environment for the first time and results in the lowest energy and the best machining precision is suggested.
Abstract: This paper suggests a novel robust formulation designed for optimizing the parameters of the turning process in an uncertain environment for the first time. The aim is to achieve the lowest energy consumption and highest precision. With this aim, the current paper considers uncertain parameters, objective functions, and constraints in the offered mathematical model. We proposed several uncertain models and validated the results in real-world case studies. In addition, several artificial intelligence-based solution techniques are designed to solve the complex nonlinear problem. We determined the most efficient solution approach by solving various test problems. Then, simulated several scenarios to demonstrate the robustness of our results. The results showed that the solutions provided by the offered model significantly reduce energy consumption in different setups. To ensure the reliability of the results, we carried out worst-case sensitivity analyses and found the most critical parameters. The results of the worst-case analyses indicated that the offered robust model is efficient and saves a significant amount of energy comparing to traditional models. It is shown that the provided solution by the presented robust formulation is reliable in all situations and results in the lowest energy and the best machining precision.
University of Health Sciences Antigua1, Gazi University2, Istanbul University3, Marmara University4, Hacettepe University5, Selçuk University6, Ege University7, Ankara University8, Yıldırım Beyazıt University9, Karadeniz Technical University10, Istanbul Medeniyet University11, Eskişehir Osmangazi University12, Uludağ University13, Celal Bayar University14, Koç University15, Erciyes University16, Adıyaman University17, Akdeniz University18
TL;DR: In this paper, the authors identified the epidemiological, clinical, and laboratory features of coronavirus disease 2019 (COVID-19) in children, and collected case characteristics including age, sex, dates of disease onset and diagnosis, family, and contact information.
Abstract: Objectives: The aim of this study is to identify the epidemiological, clinical, and laboratory features of coronavirus disease 2019 (COVID-19) in children. Methods: A retrospective study was conducted by pediatric infectious disease specialists from 32 different hospitals from all over Turkey by case record forms. Pediatric cases who were diagnosed as COVID-19 between March 16, 2020, and June 15, 2020 were included. Case characteristics including age, sex, dates of disease onset and diagnosis, family, and contact information were recorded. Clinical data, including the duration and severity of symptoms, were also collected. Laboratory parameters like biochemical tests and complete blood count, chest X-ray, and chest computed tomography (CT) were determined. Results: There were 1,156 confirmed pediatric COVID-19 cases. In total, male cases constituted 50.3% (n = 582) and females constituted 49.7% (n = 574). The median age of the confirmed cases was 10.75 years (4.5-14.6). Of the total cases, 90 were younger than 1 year of age (7.8%), 108 were 1-3 years of age (9.3%), 148 were 3-6 years of age (12.8%), 298 were 6-12 years of age (25.8%), 233 were 12-15 years of age (20.2%), and 268 cases were older than 15 years of age (23.2%). The most common symptom of the patients at the first visit was fever (50.4%) (n = 583) for a median of 2 days (IQR: 1-3 days). Fever was median at 38.4°C (38.0-38.7°C). The second most common symptom was cough (n = 543, 46.9%). The other common symptoms were sore throat (n = 143, 12.4%), myalgia (n = 141, 12.2%), dyspnea (n = 118, 10.2%), diarrhea (n = 112, 9.7%), stomachache (n = 71, 6.1%), and nasal discharge (n = 63, 5.4%). When patients were classified according to disease severity, 263 (22.7%) patients were asymptomatic, 668 (57.7%) patients had mild disease, 209 (18.1%) had moderate disease, and 16 (1.5%) cases had severe disease. One hundred and forty-nine (12.9%) cases had underlying diseases among the total cases; 56% of the patients who had severe disease had an underlying condition (p < 0.01). The need for hospitalization did not differ between patients who had an underlying condition and those who do not have (p = 0.38), but the need for intensive care was higher in patients who had an underlying condition (p < 0.01). Forty-seven (31.5%) of the cases having underlying conditions had asthma or lung disease (38 of them had asthma). Conclusions: To the best of our knowledge, this is one of the largest pediatric data about confirmed COVID-19 cases. Children from all ages appear to be susceptible to COVID-19, and there is a significant difference in symptomatology and laboratory findings by means of age distribution.