[{"command":"settings","settings":{"basePath":"\/","pathPrefix":"lap\/","ajaxPageState":{"theme":"hwpi_modern","theme_token":"9cyLCl9iDTP6QCRTA2XuIFKY4XJuI6STyegl1rfkYQ8","jquery_version":"1.8"},"colorbox":{"opacity":"0.85","current":"{current} of {total}","previous":"\u00ab Prev","next":"Next \u00bb","close":"Close","maxWidth":"98%","maxHeight":"98%","fixed":true,"mobiledetect":true,"mobiledevicewidth":"480px"},"jcarousel":{"ajaxPath":"\/lap\/jcarousel\/ajax\/views"}},"merge":true},{"command":"insert","method":null,"selector":null,"data":"\u003Cdiv id=\u0027box-1563185585-page\u0027 data-page=\u00270\u0027 data-delta=\u00271563185585\u0027 class=\u0027os-sv-list os_sv_list_box sv-list-biblio sv-list-view-teaser sv-list-layout-list sv-grid-3\u0027\u003E\u003Carticle id=\u0022node-4906\u0022 class=\u0022node node-biblio node-teaser article clearfix\u0022 role=\u0022article\u0022 target=\u0022_top\u0022\u003E\n  \n  \n  \n  \u003Cdiv class=\u0022node-content\u0022 ng-non-bindable=\u0022\u0022\u003E\n    \u003Cdiv class=\u0022bib-neg-indent\u0022\u003E\u003Cspan class=\u0022biblio-authors\u0022\u003ENaima, Zerari, et al.\u003C\/span\u003E 2019. \u201c\u003Cspan class=\u0022biblio-title\u0022\u003E\u003Ca href=\u0022\/lap\/publications\/bidirectional-deep-architecture-arabic-speech-recognitione-e-issn-2299-1093\u0022  target=\u0022_top\u0022\u003EBidirectional deep architecture for Arabic speech recognition.e,  e-ISSN  2299-1093\u003C\/a\u003E\u003C\/span\u003E\u201d. \u003Cspan style=\u0022font-style: italic;\u0022 \u003E Open Computer Science\u003C\/span\u003E  9 (1) : pp. 92-102. \u003Ca href=\u0022https:\/\/www.degruyter.com\/view\/j\/comp.2019.9.issue-1\/comp-2019-0004\/comp-2019-0004.xml\u0022  target=\u0022_top\u0022\u003EPublisher\u0026#039;s Version\u003C\/a\u003E \u003Ca href=\u0022\/lap\/publications\/bidirectional-deep-architecture-arabic-speech-recognitione-e-issn-2299-1093\u0022  class=\u0022biblio-abstract-link toggle\u0022 target=\u0022_top\u0022\u003EAbstract\u003C\/a\u003E\u003C\/div\u003E\u003Cspan class=\u0022Z3988\u0022 title=\u0022ctx_ver=Z39.88-2004\u0026amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal\u0026amp;rft.atitle=Bidirectional+deep+architecture+for+Arabic+speech+recognition.e%2C++e-ISSN++2299-1093\u0026amp;rft.title=+Open+Computer+Science\u0026amp;rft.date=2019\u0026amp;rft.volume=9\u0026amp;rft.issue=1\u0026amp;rft.aulast=Naima\u0026amp;rft.aufirst=Zerari\u0026amp;rft.au=Samir%2C+Abdelhamid\u0026amp;rft.au=Hassen%2C+Bouzgou\u0026amp;rft.au=Christian%2C+Raymond\u0022\u003E\u003C\/span\u003E\u003Cdiv class=\u0022biblio-abstract-display os-slider\u0022\u003ENowadays, the real life constraints necessitates controlling modern machines using human intervention by means of sensorial organs. The voice is one of the human senses that can control\/monitor modern interfaces. In this context, Automatic Speech Recognition is principally used to convert natural voice into computer text as well as to perform an action based on the instructions given by the human. In this paper, we propose a general framework for Arabic speech recognition that uses Long Short-Term Memory (LSTM) and Neural Network (Multi-Layer Perceptron: MLP) classifier to cope with the nonuniform sequence length of the speech utterances issued fromboth feature extraction techniques, (1)Mel Frequency Cepstral Coefficients MFCC (static and dynamic features), (2) the Filter Banks (FB) coefficients. The neural architecture can recognize the isolated Arabic speech via classification technique. The proposed system involves, first, extracting pertinent features from the natural speech signal using MFCC (static and dynamic features) and FB. Next, the extracted features are padded in order to deal with the non-uniformity of the sequences length. Then, a deep architecture represented by a recurrent LSTM or GRU (Gated Recurrent Unit) architectures are used to encode the sequences of MFCC\/FB features as a fixed size vector that will be introduced to a Multi-Layer Perceptron network (MLP) to perform the classification (recognition). The proposed system is assessed using two different databases, the first one concerns the spoken digit recognition where a comparison with other related works in the literature is performed, whereas the second one contains the spoken TV commands. The obtained results show the superiority of the proposed approach.\u003C\/div\u003E\u003Cdiv class=\u0022biblio-note\u0022\u003E\u003C\/div\u003E  \u003C\/div\u003E\n\n  \n  \n  \u003C\/article\u003E\n\u003Carticle id=\u0022node-4905\u0022 class=\u0022node node-biblio node-teaser article clearfix\u0022 role=\u0022article\u0022 target=\u0022_top\u0022\u003E\n  \n  \n  \n  \u003Cdiv class=\u0022node-content\u0022 ng-non-bindable=\u0022\u0022\u003E\n    \u003Cdiv class=\u0022bib-neg-indent\u0022\u003E\u003Cspan class=\u0022biblio-authors\u0022\u003EZermane, Hanane, Kasmi  Rached, and Samia  Aitouche\u003C\/span\u003E. 2019. \u201c\u003Cspan class=\u0022biblio-title\u0022\u003E\u003Ca href=\u0022\/lap\/publications\/supervision-industrial-process-using-artificial-intelligence-issn-e-issn-2347-6982\u0022  target=\u0022_top\u0022\u003ESupervision of an Industrial Process using Artificial Intelligence, ISSN \/ e-ISSN 2347-6982 \/ 2349-204X\u003C\/a\u003E\u003C\/span\u003E\u201d. \u003Cspan style=\u0022font-style: italic;\u0022 \u003EInternational Journal of Industrial Electronics and Electrical Engineering\u003C\/span\u003E  Vol 7 (Issue 6). \u003Ca href=\u0022http:\/\/www.iraj.in\/journal\/journal_file\/journal_pdf\/11-577-156602891045-50.pdf\u0022  target=\u0022_top\u0022\u003EPublisher\u0026#039;s Version\u003C\/a\u003E \u003Ca href=\u0022\/lap\/publications\/supervision-industrial-process-using-artificial-intelligence-issn-e-issn-2347-6982\u0022  class=\u0022biblio-abstract-link toggle\u0022 target=\u0022_top\u0022\u003EAbstract\u003C\/a\u003E\u003C\/div\u003E\u003Cspan class=\u0022Z3988\u0022 title=\u0022ctx_ver=Z39.88-2004\u0026amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal\u0026amp;rft.atitle=Supervision+of+an+Industrial+Process+using+Artificial+Intelligence%2C+ISSN+%2F+e-ISSN+2347-6982+%2F+2349-204X\u0026amp;rft.title=International+Journal+of+Industrial+Electronics+and+Electrical+Engineering\u0026amp;rft.date=2019\u0026amp;rft.volume=Vol+7\u0026amp;rft.issue=Issue+6\u0026amp;rft.aulast=Zermane\u0026amp;rft.aufirst=Hanane\u0026amp;rft.au=Rached%2C+Kasmi\u0026amp;rft.au=Aitouche%2C+Samia\u0022\u003E\u003C\/span\u003E\u003Cdiv class=\u0022biblio-abstract-display os-slider\u0022\u003EProcess controls (basic as well as advanced) are implemented within the process control system, which may mean a distributed control system (DCS), programmable logic controller (PLC), and\/or a supervisory control computer. DCSs and PLCs are typically industrially hardened and fault-tolerant. Supervisory control computers are often not hardened or faulttolerant, but they bring a higher level of computational capability to the control system, to host valuable, but not critical , advanced control applications. Advanced controls may reside in either the DCS or the supervisory computer, depending on the application. Basic controls reside in the DCS and its subsystems, including PLCs. Because we usually deal with real - world systems with real - world constraints (cost, computer resources, size, weight, power, heat dissipation, etc.), it is understood that the simplest method to accomplish a task is the one that should be used. Experts usually rely on common sense when they solve problems. They also use vague and ambiguous terms. Other experts have no difficulties with understanding and interpreting this statement because they have the background to hearing problems described like this. However, a knowledge engineer would have difficulties providing a computer with the same level of understanding. In a complex industrial process, how can we represent expert knowledge that uses vague and fuzzy terms in a computer to control it? In this context, the application is developed to control the pretreatment and pasteurization station of milk localized in Batna (Algeria) by adopting a control approach based on expert knowledge and fuzzy logic. Keywords - Intelligent Control; Data Acquisition; Industrial Process Control; Fuzzy Control\u003C\/div\u003E\u003Cdiv class=\u0022biblio-note\u0022\u003E\u003C\/div\u003E  \u003C\/div\u003E\n\n  \n  \n  \u003C\/article\u003E\n\u003Carticle id=\u0022node-4904\u0022 class=\u0022node node-biblio node-teaser article clearfix\u0022 role=\u0022article\u0022 target=\u0022_top\u0022\u003E\n  \n  \n  \n  \u003Cdiv class=\u0022node-content\u0022 ng-non-bindable=\u0022\u0022\u003E\n    \u003Cdiv class=\u0022bib-neg-indent\u0022\u003E\u003Cspan class=\u0022biblio-authors\u0022\u003EOuahiba, Chouhal, Mahdaoui  Rafik, and Mouss Leila  Hayet\u003C\/span\u003E. 2019. \u201c\u003Cspan class=\u0022biblio-title\u0022\u003E\u003Ca href=\u0022\/lap\/publications\/distributed-control-and-monitoring-based-cooperating-agents-application\u0022  target=\u0022_top\u0022\u003EDistributed control and monitoring based on cooperating agents: an application for manufacturing system, ISSN \/ e-ISSN 2170-161X  \/ 2488-2082\u003C\/a\u003E\u003C\/span\u003E\u201d. \u003Cspan style=\u0022font-style: italic;\u0022 \u003EJournal of New Technology and Materials \u003C\/span\u003E  Vol 8 (issue 3) : pp. 25-28. \u003Ca href=\u0022https:\/\/www.asjp.cerist.dz\/en\/article\/85300\u0022  target=\u0022_top\u0022\u003EPublisher\u0026#039;s Version\u003C\/a\u003E \u003Ca href=\u0022\/lap\/publications\/distributed-control-and-monitoring-based-cooperating-agents-application\u0022  class=\u0022biblio-abstract-link toggle\u0022 target=\u0022_top\u0022\u003EAbstract\u003C\/a\u003E\u003C\/div\u003E\u003Cspan class=\u0022Z3988\u0022 title=\u0022ctx_ver=Z39.88-2004\u0026amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal\u0026amp;rft.atitle=Distributed+control+and+monitoring+based+on+cooperating+agents%3A+an+application+for+manufacturing+system%2C+ISSN+%2F+e-ISSN+2170-161X++%2F+2488-2082\u0026amp;rft.title=Journal+of+New+Technology+and+Materials+\u0026amp;rft.date=2019\u0026amp;rft.volume=Vol+8\u0026amp;rft.issue=issue+3\u0026amp;rft.aulast=Ouahiba\u0026amp;rft.aufirst=Chouhal\u0026amp;rft.au=Rafik%2C+Mahdaoui\u0026amp;rft.au=Hayet%2C+Mouss+Leila\u0022\u003E\u003C\/span\u003E\u003Cdiv class=\u0022biblio-abstract-display os-slider\u0022\u003EControl and monitoring of current manufacturing systems has become increasingly a complex problem. To expand their reliability we propose in this work a distributed approach for control and monitoring using the Multi Agents Systems. This approach is based on the decomposition of the complex system into subsystems easier to manage, and the design of several agents each one on these agents is dedicated to a particular task. A software application supporting this approach is developed for the cement clinker system of the Ain Touta cement plant. It is chosen to test the approach on real data. The results show that our distributed approach produces better results than the centralized health monitoring and control.\u003C\/div\u003E\u003Cdiv class=\u0022biblio-note\u0022\u003E\u003C\/div\u003E  \u003C\/div\u003E\n\n  \n  \n  \u003C\/article\u003E\n\u003Carticle id=\u0022node-4903\u0022 class=\u0022node node-biblio node-teaser article clearfix\u0022 role=\u0022article\u0022 target=\u0022_top\u0022\u003E\n  \n  \n  \n  \u003Cdiv class=\u0022node-content\u0022 ng-non-bindable=\u0022\u0022\u003E\n    \u003Cdiv class=\u0022bib-neg-indent\u0022\u003E\u003Cspan class=\u0022biblio-authors\u0022\u003EOuahiba, Chouhal, Mahdaoui  Rafik, and Mouss Leila  Hayet\u003C\/span\u003E. 2019. \u201c\u003Cspan class=\u0022biblio-title\u0022\u003E\u003Ca href=\u0022\/lap\/publications\/soa-based-distributed-fault-prognostic-and-diagnosis-framework-application\u0022  target=\u0022_top\u0022\u003ESOA-based distributed fault prognostic and diagnosis framework: An application for preheater cement cyclones, ISSN \/ e-ISSN 1751-6048 \/ 1751-6056\u003C\/a\u003E\u003C\/span\u003E\u201d. \u003Cspan style=\u0022font-style: italic;\u0022 \u003EInternational Journal of Internet Manufacturing and Services\u003C\/span\u003E. \u003Ca href=\u0022https:\/\/www.inderscience.com\/info\/ingeneral\/forthcoming.php?jcode=ijims\u0022  target=\u0022_top\u0022\u003EPublisher\u0026#039;s Version\u003C\/a\u003E \u003Ca href=\u0022\/lap\/publications\/soa-based-distributed-fault-prognostic-and-diagnosis-framework-application\u0022  class=\u0022biblio-abstract-link toggle\u0022 target=\u0022_top\u0022\u003EAbstract\u003C\/a\u003E\u003C\/div\u003E\u003Cspan class=\u0022Z3988\u0022 title=\u0022ctx_ver=Z39.88-2004\u0026amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal\u0026amp;rft.atitle=SOA-based+distributed+fault+prognostic+and+diagnosis+framework%3A+An+application+for+preheater+cement+cyclones%2C+ISSN+%2F+e-ISSN+1751-6048+%2F+1751-6056\u0026amp;rft.title=International+Journal+of+Internet+Manufacturing+and+Services\u0026amp;rft.date=2019\u0026amp;rft.aulast=Ouahiba\u0026amp;rft.aufirst=Chouhal\u0026amp;rft.au=Rafik%2C+Mahdaoui\u0026amp;rft.au=Hayet%2C+Mouss+Leila\u0022\u003E\u003C\/span\u003E\u003Cdiv class=\u0022biblio-abstract-display os-slider\u0022\u003EComplex engineering manufacturing systems require efficient on-line fault diagnosis methodologies to improve safety and reduce maintenance costs. Traditionally, diagnosis and prognosis approaches are centralized, but these solutions are difficult to implement on increasingly prevalent distributed, networked embedded systems; whereas a distributed approach of multiple diagnosis and prognosis agents can offer a solution. Also, having the capability to control and observe process plant of a manufacturing system from a remote location has several benefits including the ability to track and to assist in solving a problem that might arise. This paper presents a distributed and over prognosis and diagnosis approach for physical systems basing on multi agent system and Service-Oriented Architecture. Specifics prognostic and diagnostic procedures and key modules of the architecture for Web Service-based Distributed Fault Prognostic and Diagnosis framework are detailed and developed for the preheater cement cyclones in the workshop of SCIMAT clinker. The experimental case study, reported in the present paper, shows encouraging results and fosters industrial technology transfer.\u003C\/div\u003E\u003Cdiv class=\u0022biblio-note\u0022\u003E\u003C\/div\u003E  \u003C\/div\u003E\n\n  \n  \n  \u003C\/article\u003E\n\u003Carticle id=\u0022node-4908\u0022 class=\u0022node node-biblio node-teaser article clearfix\u0022 role=\u0022article\u0022 target=\u0022_top\u0022\u003E\n  \n  \n  \n  \u003Cdiv class=\u0022node-content\u0022 ng-non-bindable=\u0022\u0022\u003E\n    \u003Cdiv class=\u0022bib-neg-indent\u0022\u003E\u003Cspan class=\u0022biblio-authors\u0022\u003EHanane, Zermane, and Mouss Leila  Hayet\u003C\/span\u003E. 2018. \u201c\u003Cspan class=\u0022biblio-title\u0022\u003E\u003Ca href=\u0022\/lap\/publications\/fuzzy-control-industrial-process-system-using-internet-and-web-services-issn-e-issn\u0022  target=\u0022_top\u0022\u003EFuzzy control of an industrial process system using internet and web services, ISSN \/ e-ISSN \u0026lrm;1748-5037 \/ 1748-5045\u003C\/a\u003E\u003C\/span\u003E\u201d. \u003Cspan style=\u0022font-style: italic;\u0022 \u003EInternational Journal of Industrial and Systems Engineering\u003C\/span\u003E  Vol 29  (3) : pp. 389-404. \u003Ca href=\u0022https:\/\/www.inderscience.com\/info\/inarticle.php?artid=93054\u0022  target=\u0022_top\u0022\u003EPublisher\u0026#039;s Version\u003C\/a\u003E \u003Ca href=\u0022\/lap\/publications\/fuzzy-control-industrial-process-system-using-internet-and-web-services-issn-e-issn\u0022  class=\u0022biblio-abstract-link toggle\u0022 target=\u0022_top\u0022\u003EAbstract\u003C\/a\u003E\u003C\/div\u003E\u003Cspan class=\u0022Z3988\u0022 title=\u0022ctx_ver=Z39.88-2004\u0026amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal\u0026amp;rft.atitle=Fuzzy+control+of+an+industrial+process+system+using+internet+and+web+services%2C+ISSN+%2F+e-ISSN+%26amp%3Blrm%3B1748-5037+%2F+1748-5045\u0026amp;rft.title=International+Journal+of+Industrial+and+Systems+Engineering\u0026amp;rft.date=2018\u0026amp;rft.volume=Vol+29+\u0026amp;rft.issue=3\u0026amp;rft.aulast=Hanane\u0026amp;rft.aufirst=Zermane\u0026amp;rft.au=Hayet%2C+Mouss+Leila\u0022\u003E\u003C\/span\u003E\u003Cdiv class=\u0022biblio-abstract-display os-slider\u0022\u003EThis paper illustrates an internet-based fuzzy control system of complex industrial manufacturing, which is cement production. It ensures remote and fuzzy control of the process in real time in cement factories in Algeria. The remote control system contains several tasks, such as alarms diagnostic, e-maintenance and synchronising regulation loops, to guarantee the automated performance. To evolve the system, we propose firstly, fuzzy logic to control the cement mill workshop and ensure that the system is operational with minimal downtime. Secondly, we integrate internet technology to remote control via internet to secure human life and render it unnecessary for operators to be at site. When there is a breakdown, it is not necessary to send an expert to diagnose and solve problems. Therefore, the system reduces travel costs by sending reports and transmitting process data. Operators can execute and monitor the system according to authentication access in main control room or via internet.\u003C\/div\u003E\u003Cdiv class=\u0022biblio-note\u0022\u003E\u003C\/div\u003E  \u003C\/div\u003E\n\n  \n  \n  \u003C\/article\u003E\n\u003Carticle id=\u0022node-4907\u0022 class=\u0022node node-biblio node-teaser article clearfix\u0022 role=\u0022article\u0022 target=\u0022_top\u0022\u003E\n  \n  \n  \n  \u003Cdiv class=\u0022node-content\u0022 ng-non-bindable=\u0022\u0022\u003E\n    \u003Cdiv class=\u0022bib-neg-indent\u0022\u003E\u003Cspan class=\u0022biblio-authors\u0022\u003ERafik, Mahdaoui, et al.\u003C\/span\u003E 2018. \u201c\u003Cspan class=\u0022biblio-title\u0022\u003E\u003Ca href=\u0022\/lap\/publications\/temporal-neuro-fuzzy-system-estimating-remaining-usefull-life-preheater-cement\u0022  target=\u0022_top\u0022\u003EA Temporal Neuro-Fuzzy System for Estimating Remaining Usefull Life in Preheater Cement Cyclones,  ISSN \/ e-ISSN 0218-5393 \/ 1793-6446\u003C\/a\u003E\u003C\/span\u003E\u201d. \u003Cspan style=\u0022font-style: italic;\u0022 \u003EInternational Journal of Reliability Quality and Safety Engineering\u003C\/span\u003E  26 (3). \u003Ca href=\u0022https:\/\/doi.org\/10.1142\/S0218539319500128\u0022  target=\u0022_top\u0022\u003EPublisher\u0026#039;s Version\u003C\/a\u003E \u003Ca href=\u0022\/lap\/publications\/temporal-neuro-fuzzy-system-estimating-remaining-usefull-life-preheater-cement\u0022  class=\u0022biblio-abstract-link toggle\u0022 target=\u0022_top\u0022\u003EAbstract\u003C\/a\u003E\u003C\/div\u003E\u003Cspan class=\u0022Z3988\u0022 title=\u0022ctx_ver=Z39.88-2004\u0026amp;rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal\u0026amp;rft.atitle=A+Temporal+Neuro-Fuzzy+System+for+Estimating+Remaining+Usefull+Life+in+Preheater+Cement+Cyclones%2C++ISSN+%2F+e-ISSN+0218-5393+%2F+1793-6446\u0026amp;rft.title=International+Journal+of+Reliability+Quality+and+Safety+Engineering\u0026amp;rft.date=2018\u0026amp;rft.volume=26\u0026amp;rft.issue=3\u0026amp;rft.aulast=Rafik\u0026amp;rft.aufirst=Mahdaoui\u0026amp;rft.au=Hayet%2C+Mouss+Leila\u0026amp;rft.au=Amar%2C+Haboussi\u0026amp;rft.au=Ouahiba%2C+Chouhal\u0026amp;rft.au=Hichem%2C+Haouassi\u0022\u003E\u003C\/span\u003E\u003Cdiv class=\u0022biblio-abstract-display os-slider\u0022\u003EFault prognosis in industrial plants is a complex problem, and time is an important factor for the resolution of this problem. The main indicator for the task of fault prognosis is the estimate of remaining useful life (RUL), which essentially depends on the predicted time to failure. This paper introduces a temporal neuro-fuzzy system (TNFS) for performing the fault prognosis task and exactly estimating the RUL of preheater cyclones in a cement plant. The main component of the TNFS is a set of temporal fuzzy rules that have been chosen for their ability to explain the behavior of the entire system, the components\u2019 degradation, and the RUL estimation. The benefit of introducing time in the structure of fuzzy rules is that a local memory of the TNFS is created to capture the dynamics of the prognostic task. More precisely, the paper emphasizes improving the performance of TNFSs for prediction. The RUL estimation process is broken down into four generic processes: building a predictive model, selecting the most critical parameters, training the TNFS, and predicting RUL through the generated temporal fuzzy rules. Finally, the performance of the proposed TNFS is evaluated using a real preheater cement cyclone dataset. The results show that our TNFS produces better results than classical neuro-fuzzy systems and neural networks.\u003C\/div\u003E\u003Cdiv class=\u0022biblio-note\u0022\u003E\u003C\/div\u003E  \u003C\/div\u003E\n\n  \n  \n  \u003C\/article\u003E\n\u003C\/div\u003E\u003Cdiv class=\u0022item-list\u0022\u003E\u003Cul class=\u0022pager mini-pager\u0022\u003E\u003Cli class=\u0022pager-previous\u0022\u003E\u0026nbsp;\u003C\/li\u003E\u003Cli class=\u0022pager-current\u0022\u003E1 of 7\u003C\/li\u003E\u003Cli class=\u0022pager-next\u0022\u003E\u003Ca href=\u0022\/lap\/os_sv_list\/page\/1563185585?sv_list_box_delta=1563185585\u0026amp;pager_id=0\u0026amp;destination=os_sv_list\/page\/1563185585\u0026amp;page=1\u0022\u003E\u00bb\u003C\/a\u003E\u003C\/li\u003E\u003C\/ul\u003E\u003C\/div\u003E","settings":null},{"command":"insert","method":"prepend","selector":null,"data":"","settings":null}]