Notice of Retraction: Web-Based SMS Passenger Application: New Approach to Inform Passengers via SMS in Airlines

Author(s):  
Newsha Ghoreishi ◽  
Mehdi Shajari
Keyword(s):  
Author(s):  
Hadas Weinberger

In this chapter, we suggest Echo, a model for utilizing Web technologies for the design of Web-based context-aware learning. Web technologies are continuously evolving to enhance information retrieval, semantic annotation, social interactions, and interactive experiences. However, these technologies do not offer a methodological approach to learning. In this chapter, we offer a new approach to Web-based learning, which considers the role of the user in shaping the learning experience. The key feature in Echo is the analysis and modeling of content for the design of a Web-based learning experience in context. There are three elements in Echo: 1) a methodology to guide the learning process, 2) techniques to support content analysis and modeling activities, and 3) a three-layered framework of social-semantic software. Incorporating this framework facilitates knowledge organization and representation. We describe our model, the methodology, and the three-layered framework. We then present preliminary results from on-going empirical research that demonstrates the feasibility of Echo and its usefulness for the design of a context-aware learning experience. Finally, we discuss the usefulness of Echo and its contribution to further research in the field of Web technologies.


Author(s):  
Rafael Bidarra ◽  
Andre´ van Bunnik ◽  
Willem F. Bronsvoort

Providing advanced 3D interactive facilities to users of a client-server collaborative modeling system presents a great challenge when thin clients are involved, mainly due to their lack of both a full-fledged CAD model and adequate modeling and solving functionalities. This paper presents a new approach that provides a convenient representation of feature model data suitable for direct manipulation of feature models at such clients. In particular, feature handles are proposed to support interactive feature editing. This approach combines all advantages of a thin client approach with the sort of 3D direct manipulation facilities usually only found in powerful standalone CAD systems.


2012 ◽  
Vol 518-523 ◽  
pp. 5611-5615 ◽  
Author(s):  
Zih Ping Ho

A dynamic carbon footprints management system is an important issue in future economics. This research applied geographical information to calculate carbon footprints. It also formulated an orders and trucks assignment problem with capacities of carbon footprints constraints, arrival time constraints and recycling missions constraints to maximize cargoes distribution profits. This study adapted the web based structures for programming, and proposed new approach. After validation, it would increase profits by 46% more than the experience of truck drivers, and profits by 61.5% of that of On Call (individual delivery). If a customer does not attend at a specified place and appointed time, the truck would go back and forward, then consume more gases. Through a web-structure dynamic carbon footprints management system, truck drivers leave ample time to complete their jobs. Future research suggests expanding this research to dynamic routes with consideration of traffic jams.


2020 ◽  
Vol 76 (3) ◽  
pp. 395-409 ◽  
Author(s):  
Long Yang ◽  
Pavol Juhás ◽  
Maxwell W. Terban ◽  
Matthew G. Tucker ◽  
Simon J. L. Billinge

A new approach is presented to obtain candidate structures from atomic pair distribution function (PDF) data in a highly automated way. It fetches, from web-based structural databases, all the structures meeting the experimenter's search criteria and performs structure refinements on them without human intervention. It supports both X-ray and neutron PDFs. Tests on various material systems show the effectiveness and robustness of the algorithm in finding the correct atomic crystal structure. It works on crystalline and nanocrystalline materials including complex oxide nanoparticles and nanowires, low-symmetry and locally distorted structures, and complicated doped and magnetic materials. This approach could greatly reduce the traditional structure searching work and enable the possibility of high-throughput real-time auto-analysis PDF experiments in the future.


2021 ◽  
Author(s):  
Yu Sun ◽  
Wen-Cai Liu ◽  
Xuan Shi ◽  
Hai-Zhou Zheng ◽  
Zhi-Hui Zheng ◽  
...  

Abstract Background: The co-culture strategy which mimics natural ecology by constructing an artificial microbial community is a useful tool to activate the biosynthetic gene clusters to generate new metabolites. However, the conventional method to study the co-culture is to isolate and purify compounds separated by HPLC, which is inefficient and time-consuming. Furthermore, the overall changes in the metabolite profile cannot be well characterized.Results: A new approach which integrates computational programs, MS-DIAL, MS-FINDER and web-based tools including GNPS and MetaboAnalyst, was developed to analyze and identify the metabolites of the co-culture of Aspergillus sydowii and Bacillus subtilis. A total of 25 newly biosynthesized metabolites were detected only in co-culture. The structures of the newly synthesized metabolites were elucidated, four of which were identified as novel compounds by the new approach. The accuracy of the new approach was confirmed by purification and NMR data analysis of 7 newly biosynthesized metabolites. The bioassay of newly synthesized metabolites showed that four of the compounds exhibited different degrees of PTP1b inhibitory activity, and compound N2 had the strongest inhibition activity with an IC50 value of 7.967 μM. Conclusions: Co-culture led to global changes of the metabolite profile and is an effective way to induce the biosynthesis of novel natural products. The new approach in this study is one of the effective and relatively accurate methods to characterize the changes of metabolite profiles and to identify novel compounds in co-culture systems.


2021 ◽  
Vol 11 (23) ◽  
pp. 11535
Author(s):  
Volodymyr Voloshchuk ◽  
Paride Gullo ◽  
Eugene Nikiforovich ◽  
Nadia Buyak

Avoidable endogenous/exogenous parts of the exergy destruction in the components of an energy conversion system can be computed by applying advanced exergy analysis. Their calculation is crucial for the correct assessment of the real thermodynamic enhancement achievable by the investigated energy conversion system. This work proposes a new approach to estimate the avoidable exergy destruction rates of system components, being more rigorous compared to the conventional method due to the elimination of the need for the implementation of theoretical assumptions associated with the idealization of processes. An open-source web-based interactive tool was implemented to contrast the results of the conventional advanced exergy analysis to those involving the new approach for avoidable exergy destruction estimation. The comparison was based on the same case study, i.e., a refrigeration system selected from the literature. It was observed that the developed tool can be properly employed for comparing the two approaches within exergy analyses, and the results obtained presented some differences for the compressor and the condenser. Compared to the new approach, the existing methodology of advanced exergy analysis suggests lower values of the avoidable part of exergy destruction, which can be reduced by improving the efficiency of the compressor and the condenser. Moreover, the avoidable parts of exergy destruction, which could be removed within these components by improving the efficiencies of the remaining components, were higher in the case of the application of the existing advanced exergetic analysis as compared with the findings obtained by the proposed approach. These differences were due to the impossibility of the existing advanced exergy analysis to implement complete thermodynamic “idealization” for the condenser and evaporator.


2019 ◽  
Vol 28 (02) ◽  
pp. 1950008
Author(s):  
Aleš Horák ◽  
Vít Baisa ◽  
Adam Rambousek ◽  
Vít Suchomel

This paper describes a new system for semi-automatically building, extending and managing a terminological thesaurus — a multilingual terminology dictionary enriched with relationships between the terms themselves to form a thesaurus. The system allows to radically enhance the workow of current terminology expert groups, where most of the editing decisions still come from introspection. The presented system supplements the lexicographic process with natural language processing techniques, which are seamlessly integrated to the thesaurus editing environment. The system’s methodology and the resulting thesaurus are closely connected to new domain corpora in the six languages involved. They are used for term usage examples as well as for the automatic extraction of new candidate terms. The terminological thesaurus is now accessible via a web-based application, which (a) presents rich detailed information on each term, (b) visualizes term relations, and (c) displays real-life usage examples of the term in the domain-related documents and in the context-based similar terms. Furthermore, the specialized corpora are used to detect candidate translations of terms from the central language (Czech) to the other languages (English, French, German, Russian and Slovak) as well as to detect broader Czech terms, which help to place new terms in the actual thesaurus hierarchy. This project has been realized as a terminological thesaurus of land surveying, but the presented tools and methodology are reusable for other terminology domains.


2018 ◽  
Vol 3 (S1) ◽  
pp. 14
Author(s):  
D. Sivalingam ◽  
R. Balachandar ◽  
P. Ajith

There has been an increasing interest in e-learning in teacher training at universities during the last ten years. With the developing technology, educational methods have differed as well as many other processes. Firstly, a definition on e-learning as a new approach should be given. E-learning could shortly be defined as a web-based educational system on platform with Internet, Intranet or computer access. In this model, the lessons planned were simulations and software’s for students on polymers and metals. Nine experiments were designed on the topic. Students were interviewed and administered laboratory attitude scales at the end of the experiments.  The study concluded that the experiments in the new model were appropriate to teacher training programs and could successfully be administered to large groups.


2006 ◽  
Vol 24 (18_suppl) ◽  
pp. 6061-6061 ◽  
Author(s):  
R. L. Comis ◽  
D. Colaizzi ◽  
J. D. Miller

6061 Background: A web-based survey of attitudes and awareness of Ca surv towards CCT was performed from 3–4, 2005. The survey instrument was developed jointly by the Coalition of Cancer Cooperative Groups (CCCG) and Northwestern Univ (NU) and executed by NU and Knowledge Networks (KN). Methods: Ca surv were obtained from a panel of 40,000 adults through KN, based on a US households national probability sample who agree to weekly surveys in exchange for a free WebTV box and ISP service. 2,029 panel members reported a cancer diagnosis. 1,788/2,029 (88%) agreed to participate. Results: Ten-percent of Ca surv were aware that CCT participation was an option. In 73%, a physician was the source of the CCT awareness. Awareness was related to time since diagnosis (< 9 yrs vs > 9yrs); gender (females > males); age (younger > older), and education (baccalaureate vs less). Awareness varied according to cancer type: leukemia, 26%; breast, 15%; lymphoma and lung, 14%; prostate, 12%; melanoma and renal cell, 10%; colorectal and bladder; 6–3%. Awareness was dependent (p < .01) on type of treatment: surgery 5% (n, 880); surgery and RT, 7% (n, 181); RT, 10% (n, 107); chemotherapy, 18% (n, 488). Of the last group, 44% enrolled into CCT; 33% declined and 11% were either ineligible or not offered a CCT. Those who declined were concerned that the new approach might be “less effective” (40%) and about “randomization” (18%). CCT Ca surv reported a high level of satisfaction on a 0 (worst) to 10 (best) scale: “treated with dignity and respect”, 9.6; “overall very positive experience”, 9.3; “recommend to a family member or friend”, 8.8. Conversely, the response to “I felt like a guinea pig” was 1.7. Conclusions: In summary, assessing issues such as awareness, participation and accrual onto CCT must adjust for key demographic, disease and treatment related factors. The CCT experience is valued and appreciated by Ca surv as they move the field forward. No significant financial relationships to disclose.


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