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Rosalina, Rosalina, and Genta Sahuri. "Crowdfunding platform integrated with cryptocurrency payment support." International Journal of Advances in Applied Sciences 14, no. 2 (2025): 598. https://doi.org/10.11591/ijaas.v14.i2.pp598-608.
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Crowdfunding platforms often face challenges such as high transaction fees, limited global accessibility, and reliance on traditional banking systems, which restrict participation and efficiency. These limitations hinder the full potential of crowdfunding, particularly for global contributors and projects. This research addresses these issues by proposing the development of a mobile crowdfunding platform integrated with cryptocurrency payment support. By incorporating cryptocurrency, the platform aims to reduce transaction costs, remove geographical barriers, and enhance transaction security through blockchain technology. The platform is built using a cross-platform mobile framework to ensure broad accessibility while integrating cryptocurrency gateways for decentralized financial transactions. This allows for real-time, secure, and low-cost payments, offering a transparent and efficient process for both contributors and fundraisers. Additionally, the platform's design supports scalability to accommodate various cryptocurrencies and an expanding user base. The findings demonstrate that cryptocurrency payment integration significantly improves transaction speed, reduces fees, and enhances security compared to traditional payment methods. It also fosters global participation, increasing engagement in crowdfunding initiatives.
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Doyle, Dylan Thomas, Casey Paul, and Jed R. Brubaker. "Assessing Support for Mortality: An Environmental Scan of Online Platforms." Proceedings of the ACM on Human-Computer Interaction 9, no. 2 (2025): 1–18. https://doi.org/10.1145/3710930.
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Though online platforms have begun to include support for end-of-life needs, their development has been piecemeal and varies from platform to platform. Recent social computing research has examined end-of-life support on social media platforms and platforms specifically designed for grief and remembrance. However, understanding the functional end-of-life support provided by a wider array of platforms is needed to identify the most urgent design priorities beyond social media and remembrance-specific platforms. In this study, we present the results of a large-scale, multi-platform analysis of end-of-life support, summarizing the current state and identifying gaps as of April 2023. This study helps identify priorities to guide platform design and future research by identifying the current state of existing end-of-life support and gaps in that support.
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Chohan, Navraj, Chris Bunch, Chandra Krintz, and Navyasri Canumalla. "Cloud Platform Datastore Support." Journal of Grid Computing 11, no. 1 (2012): 63–81. http://dx.doi.org/10.1007/s10723-012-9238-z.
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Vlasenko, Kateryna V., Sergii V. Volkov, Iryna V. Lovianova, Olena O. Chumak, Irina V. Sitak, and Dmytro Ye Bobyliev. "Management of online platform development and support process." CTE Workshop Proceedings 8 (March 19, 2021): 333–45. http://dx.doi.org/10.55056/cte.274.
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The matter of building an optimal model of managing the online platform “Higher School Mathematics Teacher” is considered in this article. The existing researches on the management of online platform development and support process have been analyzed in this paper. The model developers described the process of building an online platform according to the Software Development Lifecycle rules. The researchers described an online course platform creation and functioning process that corresponds to a five-stage pedagogical ADDIE model (Analysis, Design, Development, Implementation, and Evaluation) of online course preparation. The research describes the roles and objectives of online platform team members. These results allowed the authors of the article to model the organizational structure of online platform management. The method of survey among the team members of the online platform “Higher School Mathematics Teacher” and its participants was used to prove the efficiency of the offered model. The results allowed us to confirm the actuality of the research in the management of educational platforms, the convenience of teamwork in online platform management, and successful model implementation.
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Canady, Valerie A. "Care navigation platform fills gap in MH service, resource access." Mental Health Weekly 34, no. 41 (2024): 5. http://dx.doi.org/10.1002/mhw.34225.
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A navigation platform, launched Oct. 22, aims to help individuals find the right support for mental health, substance use and relationship challenges, whether it be therapists, psychiatrists, support groups or self‐help resources. The platform supports behavioral health providers and other care platforms in expanding their reach by helping individuals with new clients and patients, officials stated.
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Yamaguchi, Ui, Fuminori Saito, Koichi Ikeda, and Takashi Yamamoto. "HSR, Human Support Robot as Research and Development Platform." Abstracts of the international conference on advanced mechatronics : toward evolutionary fusion of IT and mechatronics : ICAM 2015.6 (2015): 39–40. http://dx.doi.org/10.1299/jsmeicam.2015.6.39.
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Wang, Junhai, Auliya Rahman Isnain, Ryan Randy Suryono, Yuri Rahmanto, Mesran Mesran, and Setiawansyah Setiawansyah. "Decision Support System for Platform Selection in E-Commerce Using the OWH-TOPSIS Method." Journal of Computer System and Informatics (JoSYC) 6, no. 1 (2024): 172–81. https://doi.org/10.47065/josyc.v6i1.5990.
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Platforms in e-commerce are digital systems that allow online transactions to buy and sell products or services. E-commerce platforms also provide benefits for business actors because they are able to reach a wider market without geographical restrictions, while offering efficiency in business operations. The main problem in choosing a platform for e-commerce is often related to the sheer number of options available and the variety of criteria that must be considered. Criteria such as fees, platform popularity, transaction security, ease of use, features provided, as well as customer service support are important factors in determining the most suitable platform. The implementation of a decision support system to help select the optimal e-commerce platform by applying the OWH-TOPSIS method shows that this system can provide accurate and effective recommendations, so that it can be used as a reference for users in determining the e-commerce platform that suits their needs. The decision support system using the OWH-TOPSIS method provides an efficient and objective solution in the selection of e-commerce platforms. The results of the ranking of the best e-commerce platforms show that Platform D occupies the top position with the highest score value, which is 0.882. In second place is Platform E which obtained a score of 0.8599, followed by Platform A with a score of 0.8341.
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Salgueiro, Arthur Pias, Renata Ferreira Prigol, Fabio Luiz Dal Moro Maito, et al. "PAC APPLICATION: CLINICAL SUPPORT PLATFORM." Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology 134, no. 3 (2022): e200-e201. http://dx.doi.org/10.1016/j.oooo.2022.01.617.
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Dayong, Guo, Xuan Hua, and Fu Xiaolong. "Modern teaching support platform design." Tsinghua Science and Technology 15, no. 3 (2010): 352–56. http://dx.doi.org/10.1016/s1007-0214(10)70073-0.
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Marisa, R. Ferreira, António Oliveira José, and Płaskociński Piotr. ""Siepomaga.pl" and facebook as the most popular and simplest non-profit crowdfunding platform in Poland." Casos de Marketing Público y No Lucrativo 7 (April 8, 2020): 445. https://doi.org/10.5281/zenodo.6835063.
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The internet platform "siepomaga.pl" is the largest nonprofit platform in Poland based on crowdfunding. Its goal is to create the largest community of people sensitive to others and animals. It is an activity aimed at collecting funds through fundraising organized in a network, using social networking sites, specially dedicated to social support. The main objective of this case study is to contextualize the use of digital platforms within the social help strategies employed by nonprofit organizations in order to encourage individual civic participation – through volunteer monetary donations - in donation-based crowdfunding campaigns. The next goal is to show the similarities between the collection of donations by the most popular social networking site and the most popular nonprofit crowdfounding platform in Poland - siepomaga.pl.
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Šošević, Uroš, Ivan Milenković, and Miloš Milovanović. "Support Platform for Learning about Multimodal Biometrics." JUCS - Journal of Universal Computer Science 19, no. (11) (2013): 1684–700. https://doi.org/10.3217/jucs-019-11-1684.
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Lately, there is an increasing interest in multimodal biometric systems. Faculty of organizational sciences and Ministry of Education and Science of Serbia have recognized importance of biometrics, and started an international project named "Multimodal biometry in identity management". As a part of our project, we have developed a support platform for learning about multimodal biometrics. Platform is used as part of biometric course in order to improve student's learning experience and to increase their interest in biometrics. A research study was conducted to compare traditional learning method and learning method based on our support platform. Results of our research study speak in favour of using elBio support platform as a teaching tool.
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KIM, Do-Hee, Na-Bin LEE, and Hye-Sun JOO. "Disaster psychological support practitioners' suggestions for utilizing an AI-based disaster psychological support platform: a qualitative content analysis." Association of Korea Counseling Psychology Education Welfare 10, no. 6 (2023): 115–34. http://dx.doi.org/10.20496/cpew.2023.10.6.115.
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As the use of artificial intelligence(AI) technology in psychological interventions is graduallyexpanding with the increase of remote disaster psychological support, this study aimed toexplore the strengths and limitations of AI-based disaster psychological support platforms, theiralternatives, and development directions based on the experiences of disaster psychologicalsupport practitioners. To this end, an online survey was conducted with 282 practitioners whohad experience in remote disaster psychological support, and a qualitative content analysis wasconducted on the surveyed data. As a result, three categories including nine concepts werederived for 'strengths of disaster psychological support through AI-based platforms'; fivecategories including eight concepts were derived for 'limitations of disaster psychologicalsupport through AI-based platforms'; and 14 categories including 44 concepts were derived for'alternatives and platform development directions'. Based on this, we proposed the developmentdirection of an AI-based platform in the area of disaster psychological support, which requiresefficient and comprehensive resource linkage and case management.
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Liu, Songcao, Bozhao Li, Yuqiao Chen, and Zhongliang Cai. "Establishing a Generic Geographic Information Collection Platform for Heterogeneous Data." Applied Sciences 14, no. 13 (2024): 5416. http://dx.doi.org/10.3390/app14135416.
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Geographic information collection platforms are widely used for acquiring geographic information. However, existing geographic information collection platforms have limited adaptability and configurability, negatively affecting their usability. They do not support complete field collection workflows or capture data with complex nested structures. To address these limitations, this paper proposes a generic geographic information collection platform based on a comprehensive XML schema definition and a corresponding XML toolkit. This platform includes professional and non-professional versions of collection software, as well as a management system. Users can configure controls and define nested tables within this platform to collect heterogeneous and complex nested data. Moreover, the platform supports functions such as task assignment, local deployment servers, multitasking parallelism, and summary statistics of heterogeneous data, ensuring complete workflow support for field data collection. The platform has been applied in agriculture, forestry, and related fields. This paper uses the agricultural industry structure survey as a case study. Practical applications and our case study show that this platform can reduce software development costs, lower user knowledge prerequisites, and fulfill 95% of geographic information collection scenarios.
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Ebrahim, H., T. Santhanavanich, P. Wuerstle, and V. Coors. "CONCEPT AND EVALUATION OF AN URBAN PLATFORM FOR INTERACTIVE VISUAL ANALYTICS." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences VIII-4/W1-2021 (September 3, 2021): 33–40. http://dx.doi.org/10.5194/isprs-annals-viii-4-w1-2021-33-2021.
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Abstract. Urban platforms are becoming a vital role player in city resources management for achieving the right balance between social and economic services and their impact on the environment. More and more cities are starting to benefit from an urban platform to state the city conditions and re-coin the shape of life depending on data gathered from different city systems. However, urban platforms need further support of data analytics in respect of reaching a smart city platform helping city planners with better decision making. Besides, the majority of operational urban platforms consider 2D data only, missing out on the possible information that could be obtained from 3D city models. This work proposes a concept for an urban platform that supports data manipulation and visualization plus interactive analytic functionalities. As a prototype, an urban platform is implemented for integrating and processing 3D city models and 2D traffic data to derive air pollutants emission rates with analytic visualization, leading urban planning to concentrate on the most affected areas. In addition, interactive features are implemented, including filtering, querying, and classifying data to support the analytic visualization in the developed urban platform.
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Chondamrongkul, Nacha. "Model-driven framework to support evolution of mobile applications in multi-cloud environments." International Journal of Pervasive Computing and Communications 12, no. 3 (2016): 332–51. http://dx.doi.org/10.1108/ijpcc-01-2016-0003.
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Purpose The development of mobile applications in multiple clouds environment is a complex task because of the lack of platform standards in cloud computing and mobile computing. The source code involves various proprietary programming libraries for different platforms. However, functionalities are inevitably changed over time, as well as the platform. Therefore, a great deal of development effort is required, when changes need to be made at functional and platform level. This paper aims to propose SIMON, a framework that eases complexity of the development to support software evolution. Design/methodology/approach SIMON shields the developer from the complexity of mobile and cloud platforms in the development of mobile applications in multiple clouds environment. The framework uses model of application design to automate the development and support execution of mobile applications in system environment that needs integration to the number of data sources located on multiple clouds. The framework is composed of prefabricated components that support function changeability and platform adaptability. Findings The framework is examined with the development of a sample application. After it is evaluated with scenarios that involve changing at functional and platform levels, the result shows significant reducing of the development effort by comparing with the other approaches. Originality/value The framework facilitates the implementation of mobile applications in the software system that involves integration to multiple clouds, and it supports software evolution with lesser development effort.
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Proctor, Barry, and Marianne Nutting. "Mine Countermeasure Support Platform Conversion Ship Design." Marine Technology and SNAME News 31, no. 03 (1994): 201–14. http://dx.doi.org/10.5957/mt1.1994.31.3.201.
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U.S. Navy experience gained from the mine countermeasures (MCM) operations against the mines planted by Iraq during Operation Desert Storm highlighted the need for a centralized platform for support of MCM operations. This centralized Mine Countermeasures Support (MCS) platform would meet two critical needs: it would enable the employment of integrated MCM forces and it would allow the MCM Group Commander to be deployed with those MCM forces. Full integration of all MCM forces by the MCM Commander is the key to effective MCM operations. The MCM forces comprised Airborne Mine Countermeasures (AMCM), Surface Mine Countermeasures (SMCM) and Explosive Ordnance Disposal Mine Countermeasures (EODMCM). The strengths of each must be captured and coordinated by the MCM Commander. AMCM assets are capable of rapidly deploying to conduct reconnaissance, precursor and clearance MCM operations. SMCM assets are more capable of sustained large area mine clearance and possess an organic ability to neutralize located mines. EODMCM assets are specialized EOD detachments that are also capable of rapidly deploying to support AMCM and SMCM minehunting and mechanical sweeping operations by identifying, neutralizing or countercharging, recovering, exploiting and disposing of sea mines. USS Inchon (LPH-12) has been selected by the U.S. Navy as the most cost-effective platform to provide a near-term solution which will meet the requirements discussed above. After a brief discussion of MCM operations, other candidate MCS platforms studied, and the far-term (new construction) MCS(X), the remainder of the paper will focus on the conversion of the LPH-12 to operate as the centralized platform for MCM operations
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Trautwein, Stefan, Florian Liberatore, Jörg Lindenmeier, and Georg von Schnurbein. "Satisfaction With Informal Volunteering During the COVID-19 Crisis: An Empirical Study Considering a Swiss Online Volunteering Platform." Nonprofit and Voluntary Sector Quarterly 49, no. 6 (2020): 1142–51. http://dx.doi.org/10.1177/0899764020964595.
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The COVID-19 pandemic has led to a huge wave of compassion. In particular, online volunteering platforms established channeling help for high-risk groups. It is unclear under which conditions volunteers were satisfied with their COVID-19 volunteering mediated by these platforms and whether they will continue their engagement after the crisis. Therefore, and considering personal susceptibility to COVID-19 infection, this study analyzes the effects of different platform support for volunteers and the fulfillment of volunteers’ motives. The study is based on an online survey of a sample of 565 volunteers who registered at and were placed by a Swiss online platform. Fulfillment of distinct volunteer motives and platform support drive COVID-19 volunteering satisfaction. Moreover, motive fulfillment and platform-related support indirectly impact willingness to volunteer long-term via volunteering satisfaction. Finally, the empirical results show that motive fulfillment and the effect of platform support are contingent on perceived susceptibility to infection.
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Elsayed, Ibrahim, and Peter Brezany. "Dataspace Support Platform for e-Science." Computer Science 13, no. 1 (2012): 49. http://dx.doi.org/10.7494/csci.2012.13.1.49.
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Georgieva-Tsaneva, Galya, Evgeniya Gospodinova, Galina Bogdanova, and Diana Dimitrova. "Information Cardiac Platform to Support Healthcare." International Journal of Online and Biomedical Engineering (iJOE) 19, no. 03 (2023): 144–53. http://dx.doi.org/10.3991/ijoe.v19i03.35217.
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The article presents a software information platform for storing, processing, researching, and protecting cardiology information obtained during the study of patients with various cardiovascular diseases and a healthy control group. The information platform contains non-confidential data about the research subjects, which is freely available; as well as a confidential part; cardiological data, containing information about the biomedical tests carried out; as well as the parametric and graphical results of the mathematical analyzes obtained based on the registered cardiac data. The created integrated information platform can be used by cardiology specialists to evaluate the results of cardiac examinations and assist cardiologists in making a correct diagnosis and prescribing effective treatment. The platform is a tool with a user-friendly interface and can be useful for cardiac data researchers as well.
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Fonte, Filipa, Carlos Grilo, Roberta Frontini, Sofia Jacinto, and Sara Simões Dias. "Chat2Quit – Support Platform for Smoking Cessation." Procedia Computer Science 219 (2023): 1309–15. http://dx.doi.org/10.1016/j.procs.2023.01.415.
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Bareja, Krzysztof, and Włodzimierz Ogryczak. "Reference distribution based decision support platform." Journal of Telecommunications and Information Technology, no. 3 (June 26, 2023): 5–14. http://dx.doi.org/10.26636/jtit.2008.3.880.
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There many decision problems where numerous partial achievement functions are considered impartially which makes the distribution of achievements more important than the assignment of several achievements to the specific criteria. Such models are generally related to the evaluation and optimization of various systems which serve many users where quality of service for every individual user defines the criteria. This applies to various technical systems, like to telecommunication ones among others, as well as to social systems. An example arises in location theory, where the clients of a system are entitled to equal treatment according to some community regulations. This paper presents an implementation of decision support framework for such problems. This platform is designed for multiple criteria problems analyzed with the reference distribution approach. Reference distribution approach is an extension of the reference point method.
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El-MALAKI, M. H., M. WATHEQ El-KHARASHI, S. HAMMAD, A. SALEM, and A. WAHDAN. "A PLATFORM APPROACH FOR HARDWARE/SOFTWARE CO-DESIGN WITH SUPPORT FOR RTOS-BASED SYSTEMS." Journal of Circuits, Systems and Computers 16, no. 06 (2007): 961–79. http://dx.doi.org/10.1142/s0218126607004015.
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We propose a new flow for hardware/software co-design, based on the platform-based design, which forms a base for further automation attempts of the co-design process. We prove the applicability of the proposed flow on co-designing generic systems as well as RTOS-based systems. Our proposed flow starts with a software-only solution in which all system functionality is described as embedded software targeting a selected platform. Then, the flow iterates through co-verification, profiling, partitioning, and co-synthesis until the design criteria are met. We present four test cases to show the effectiveness of our proposed methodology. The main contribution added by the proposed methodology is incorporating the target application platform at the first stage of the flow then applying our iterative co-design algorithm without altering the main platform. This opposes other co-design methodologies that let the platform details be synthesized at later stages, widening the exploration space to be unrealistic and producing platforms that may vary to a large extent compared to the pre-verified application platform. The other contribution is the study provided on the effect of co-design on the behavior of RTOS-based platforms, which brings the flow closer to real-case problems, where most embedded systems utilize RTOS in their software stack.
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Vydia, Vensy, Susanto Susanto, Sri Handayani, and Maulana Bahrul Alam. "The Selection of Learning Platforms to Support Learning Using Fuzzy Multiple Attribute Decision Making." International Journal of Quantitative Research and Modeling 3, no. 1 (2022): 45–50. http://dx.doi.org/10.46336/ijqrm.v3i1.257.
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The utilization of information technology in learning has functioned as a tool in the teaching and learning process during the Covid-19 pandemic. The need for the availability of a learning platform using LMS (Learning Management System) or free e-learning that is easily obtained from the public network (internet) makes the utilization of the learning platform indispensable for the teaching and learning process. Learning platforms available on the internet can also be used independently by students. However, not all existing learning platforms can be used as the appropriate means to improve the quality of education. The educator policies are needed to utilize the existing learning platforms so that learning objectives can be achieved. This study will analyze how to choose the right learning platform for an educational institution using SAW (Simple Additive Weighting)-based Fuzzy Multiple Attribute Decision Making (FMADM) method. FMADM is a method used to find the optimal alternative from a number of alternatives with certain criteria. The purpose of this study is to assist educators in deciding the most appropriate learning platform that can be used to support the teaching and learning process during the Covid 19 pandemic.
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Mozhaeva, Galina V., Daria A. Maslova, Tatiana V. Kabanova, and Kristina I. Yakovleva. "A Study of the Effectiveness of Massive Open Online Courses Support Models." Vestnik Tomskogo gosudarstvennogo universiteta, no. 458 (2020): 211–22. http://dx.doi.org/10.17223/15617793/458/26.
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The study aims to identify, test, and evaluate the effectiveness of current learner support models of online courses based on the analysis of online courses from the leading platforms, and to identify relevant support tools both built into online learning platforms and outside platforms. The study is based on the hypothesis that it is possible to increase students’ engagement rate in online learning using the platform data, the patterns of student behavior on MOOCs, and various user support tools. The study employed the following methods: questionnaire survey, data analysis, descriptive statistics, cluster analysis, visualization, and comparative analysis. The study was carried out in four stages. At the first stage, the authors of the article subscribed to MOOCs on 9 platforms and observed the tools used to support listeners. Using the collected data, they constructed a matrix of correspondence of courses and used support tools and made a list of the most common listener support tools in MOOCs. At the second stage, the authors conducted a survey to identify students’ perceptions of and expectations from various support tools in the MOOC on the Coursera and Lectorium platforms. The confidence level was 97%, the confidence interval was 8%. The authors learned that there was a request from learners for new tools that would make communication more efficient and support more individualized. At the third stage, the authors used the principles of electronic moderation by Gilly Salmon and the result of the analysis of the most frequently used and most demanded support tools on platforms with a view to design three models of MOOC listener support. The platform, off-platform and mixed models were developed. At the fourth stage, the authors conducted a pedagogical experiment to test the developed support models. The cluster analysis method revealed patterns of listeners’ behavior before using the three support models (control group) and during the application of these models (experimental group). The behavior patterns of students of each of the six MOOCs were considered in the context of one of the support models. The emphasis was on the behavior of students in completing assignments and in viewing video lectures as key characteristics of the educational activities of students of online courses. The experiment showed the nonviability of the off-platform tracking model, the low efficiency of the platform model. A comparative analysis of the behavior patterns of the control and experimental groups showed that maximum efficiency was achieved with a mixed support model: the engagement rate of students increased, which is manifested in the number of students who completed more than 10% of the tasks and/or completed the course. The increase averaged over 2%. It is necessary to build learner support on a mixed basis, combining the resources of online platforms and ecosystem agents that can be integrated into online platforms.
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Akhmetova, Julia. "Сrowdfunding platforms as an example of innovation startup’s financial support". SHS Web of Conferences 116 (2021): 00073. http://dx.doi.org/10.1051/shsconf/202111600073.
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Financial support is very important in the innovative sphere, because it creates the basis of the whole economic development. There are several ways how this support can be organized: from the family money to government subsidy. This paper focused on a relatively new way how a startup as a small innovative business can gain finance - crowdfunding platforms. As a preparation for the analysis theoretical concepts of innovative startup investment were considered and the unique characteristics of crowdfunding market were examined. The purpose of the study is to underline main characteristic of startups as a way of financial innovation performance, analyze the determinants of crowdfunding platform’s effectiveness, define an optimal strategic behavior for a platform to accumulate greater amount of investment and increase the number of startups which achieve their financial goals. Analysis is based on the data from 105 crowdfunding platforms during last 3 year (from 2018 till 2020). As a result, based on the multiple linear regression an analysis was conducted which showed that age, platform type and scope are main characteristics of crowdfunding platform efficiency while commission type is not correlated with startup crowdfunding success rate.
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Ladai, A., and C. Toth. "RANGE-BASED NETWORK FORMATION TO SUPPORT GEOREFERENCING OF MAPPING SWARM PLATFORMS." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVI-M-2-2022 (July 25, 2022): 147–52. http://dx.doi.org/10.5194/isprs-archives-xlvi-m-2-2022-147-2022.
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Abstract. Mapping platforms jointly operating in a formation are increasingly used to improve the efficiency of geospatial data acquisition recently. For example, UAS swarm mapping is gaining market share or robot platform are used for indoor mapping. These platforms are typically equipped with imaging and navigation sensors as well as have various communication capabilities. Until now, the platforms are individually navigated and georeferenced. Since the platforms are typically sharing a small area, and thus, they are within their sensing range; for example, they can see and thus track each other in optical or lidar imagery. Furthermore, new communication technologies have started to provide ranging information between communication points. Using the ranges between platforms makes it feasible to create a local geodetic network defined by the platforms. The geometric strength of the network then can be exploited to support platform georeferencing. In this study, the network formation based on ranges is investigated. Initial experiences are reported on the impact of the size of the network, the spatial distribution of the network nodes and the number of available ranges.
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Tian, Lei. "Design and Implementation of Financial Service and Management Platform considering Support Vector Machine Algorithm." Computational Intelligence and Neuroscience 2022 (September 9, 2022): 1–10. http://dx.doi.org/10.1155/2022/7964123.
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With the rapid economic development, the financial industry has quietly become the leader of industries, the core and lifeblood of promoting economic development. At the same time, various financial services and management platforms emerge one after another. However, the emergence of financial services and management platforms cannot effectively alleviate the current financial crisis. In the face of increasingly complex financial risks, traditional financial service and management platforms cannot achieve effective information sharing, which leads to continued low service and management efficiency and frequent financial risk problems. Support vector machine is a data classification algorithm based on supervision, which can realize data sharing and improve the efficiency of data processing. The article firstly readjusted the underlying architecture of the financial service and management platform to break through the barriers of data interaction. Then on this basis, the article further combines the support vector machine algorithm and extends it from binary data classification to multivariate classification. Finally, the paper redesigns the financial service and management platform considering support vector machines. After a series of experiments, it can be found that the financial service and management platform based on the support vector machine algorithm can reduce the financial risk by 17.2%, improve the financial service level by 30.2%, and improve the financial comprehensive service level by 45.2%. At the same time, thanks to information sharing and interaction, the financial service and management platform can effectively predict financial risks, and the accuracy of the prediction basically reaches 78.9%. This shows that a financial service and management platform that takes into account the support vector machine algorithm can effectively prevent financial risks and improve the efficiency of financial services and management.
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Luo, Zhanni, and Huazhen Li. "The Involvement of Academic and Emotional Support for Sustainable Use of MOOCs." Behavioral Sciences 14, no. 6 (2024): 461. http://dx.doi.org/10.3390/bs14060461.
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MOOCs, the Massive Open Online Courses, are online educational courses that offer open access to a large number of participants globally. However, online engagement during MOOC learning remains a problem, as reflected in relatively high dropout rates. This paper involves academic and emotional support, aiming to explore whether they contribute to users’ sustainable use of the MOOC platform. A total of 410 college students learning English as a foreign language (EFL) and with MOOC learning experience participated in this study. Employing the structural equation modeling (SEM) techniques, we examined the relationships among five factors in the EFL MOOC learning context: academic support (AS), emotional support (ES), perceived usefulness (PU), perceived ease of use (PEoU), and platform reputation (PR). The results indicate that academic support influences learners’ perceptions of the usefulness and ease of use of the MOOC platform, as well as enhancing learners’ feelings of being emotionally supported. Simultaneously, platform reputation plays a crucial role in influencing learners’ perceptions of MOOC platforms. However, results suggest that emotional support does not have a statistically significant impact on the perceived usefulness and perceived ease of use of the platform in EFL MOOC learning contexts.
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Sheng, Ruiyuan. "The Strategy Choice of self-support and outsourcing model of Food and beverage enterprises' delivery Service." BCP Business & Management 44 (April 27, 2023): 733–39. http://dx.doi.org/10.54691/bcpbm.v44i.4925.
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Currently, the catering business offers take-out delivery services to customers because to the severe rivalry in the sector and the development, use, and popularization of information technology. In China, huge Internet delivery platforms are mostly used for catering delivery services, and the service provider is primarily focused on a small number of platforms with competitive advantages. In this profession, there is intense industrial competition and a high barrier to entry. Some big catering chain businesses, including KFC and Pizza Hut under Yum Group, have a delivery service team comprising of its own take-out ordering platform and delivery workers as opposed to delivering through take-out delivery platform. While self-operated take-out ordering and distribution platforms will incur high platform maintenance costs, salaries of distribution service team personnel and other expenses for a long time, and will incur management costs or scale diseconomies of the department, large take-out ordering and distribution platforms require paying high commissions and distribution fees to the platform providers. This article will use the Yum! Brands, i.e., KFC and Pizza Hut brands as examples, which are owned by it and have their own distribution service team and platform for takeout food sales, and compare and analyze the benefits, drawbacks, opportunities, and challenges of the two distribution models using the SWOT analysis method. Based on the analysis, this study examines whether or not catering businesses should have a self-operated delivery service team and under what circumstances they should choose which route to follow for delivery service.
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Ikeda, Kazuaki, and Anthony Marshall. "Strategies for competing in markets enabled by digital platforms." Strategy & Leadership 47, no. 1 (2019): 30–36. http://dx.doi.org/10.1108/sl-10-2018-0097.
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Purpose The article examines four strategies for creating competitive advantage in markets enabled by digital platforms. Design/methodology/approach The four strategies are assessed: 10; Strategy 1: The Digital Industrialist - hardware-data-experience. 10;Strategy 2: The Digital Consumer - experience-data-platform-hardware. 10;Strategy 3: The Data Acquirer - buy data (D). 10;Strategy 4: The Platform over Platform (PoP). Findings By offering their customers even more compelling and unique cross-platform experiences, platform over platform entrants can create new mega-platform environments, overarching existing, otherwise successful platform environments. Practical implications By expanding and deepening their customers’ engagement, platform over platform businesses might ultimately relegate some existing platforms to digital infrastructure – providing the pipes and plumbing for customers empowered to jump seamlessly across and between platforms with the support and encouragement of their platform over platform orchestrators.
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Barać, Milica, Nikola Vitković, Zorana Stanković, Milena Rajić, and Rajko Turudija. "Description and Utilization of an Educational Platform for Clean Production in Mechanical Engineering." Spectrum of Mechanical Engineering and Operational Research 1, no. 1 (2024): 145–58. http://dx.doi.org/10.31181/smeor11202413.
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This study introduces a novel educational mentoring platform that emphasises clean manufacturing techniques and is intended to support engineering education and mentorship. The mentoring platform provides practical, project-based learning opportunities in an educational environment. The platform's foundation lies in a mentoring approach through conducting sessions and defined projects. This paper will outline the primary components of a new educational mentoring platform and highlight some of its most important use cases. The mentoring platform enables the creation of programs like the Sustainable Manufacturing Innovation Program, which is showcased in this paper, equipping students with the knowledge to enhance sustainability in mechanical engineering and foster cleaner production startups. The paper briefly overviews the Novel Educational Methodology (NEM) integrated into an e-learning platform for personalized and adaptive learning materials and courses. The combined use of e-learning and mentoring platforms represents a comprehensive educational system, enhancing developmental outcomes while promoting and achieving clean production practices. Both platforms, e-learning and mentoring, are highly adaptable, facilitating the creation of diverse online course materials and mentoring programs across various scientific disciplines.
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Hsu, Cheng-Mei. "The Construction of a Web-Based Learning Platform from the Perspective of Computer Support for Collaborative Design." International Journal of Online Pedagogy and Course Design 3, no. 4 (2013): 44–67. http://dx.doi.org/10.4018/ijopcd.2013100104.
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The purpose of this study is to construct a web-based Computer Support for Collaborative Design (CSCD) learning platform based on theories related to a constructivist learning environment model, mind mapping and computer-supported collaborative learning. The platform conforms to the needs of design students and provides effective tools for interaction and collaborative learning by integrating mind-mapping tools into a learning environment that utilizes CSCD, a computer-assisted support system that can support and enhance group collaboration. The establishment of the CSCD learning platform represents a significant advance beyond the fixed functions and existing models of current online learning platforms and is the only learning platform in the world that focuses on learners in design departments. The platform offers outstanding user-friendly functions and innovative technology. In terms of funding, technical ability, human resources, organizational strategies, and risk analysis and evaluations, the learning platform is also worthy of expansion and implementation.
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Tupasela, Aaro, and Ezio Di Nucci. "Concordance as evidence in the Watson for Oncology decision-support system." AI & SOCIETY 35, no. 4 (2020): 811–18. http://dx.doi.org/10.1007/s00146-020-00945-9.
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Abstract Machine learning platforms have emerged as a new promissory technology that some argue will revolutionize work practices across a broad range of professions, including medical care. During the past few years, IBM has been testing its Watson for Oncology platform at several oncology departments around the world. Published reports, news stories, as well as our own empirical research show that in some cases, the levels of concordance over recommended treatment protocols between the platform and human oncologists have been quite low. Other studies supported by IBM claim concordance rates as high as 96%. We use the Watson for Oncology case to examine the practice of using concordance levels between tumor boards and a machine learning decision-support system as a form of evidence. We address a challenge related to the epistemic authority between oncologists on tumor boards and the Watson Oncology platform by arguing that the use of concordance levels as a form of evidence of quality or trustworthiness is problematic. Although the platform provides links to the literature from which it draws its conclusion, it obfuscates the scoring criteria that it uses to value some studies over others. In other words, the platform “black boxes” the values that are coded into its scoring system.
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Howe, David, Jonathan Thorpe, Rosie Dunn, et al. "The CAREGIVERSPRO-MMD Platform as an Online Informational and Social Support Tool for People Living With Memory Problems and Their Carers: An Evaluation of User Engagement, Usability and Usefulness." Journal of Applied Gerontology 39, no. 12 (2019): 1303–12. http://dx.doi.org/10.1177/0733464819885326.
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People living with dementia or cognitive impairment (PwD) and their carers often have unmet needs for informational and social support postdiagnosis. Web-based platforms have the potential to address these needs, although few have been developed for use by both PwD and carers. The CAREGIVERSPRO-MMD platform was developed to provide both user groups with informational and peer-to-peer social support. Platform logging data were analyzed to assess the extent to which PwD ( n = 37) and carers ( n = 37) engaged with the platform and its social/informational features in their daily lives. Participants also provided feedback on the usefulness and usability of the platform. The majority of PwD and carers found the platform and its social/informational features useful and usable, and significant subsets of both groups utilized the platform regularly. However, carers engaged with the informational and social features to a greater extent than PwD, and users highlighted that PwD typically required regular support to use the platform.
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Eardley, Rachel, Sue Mackinnon, Emma L. Tonkin, et al. "A Case Study Investigating a User-Centred and Expert Informed 'Companion Guide' for a Complex Sensor-based Platform." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 6, no. 2 (2022): 1–23. http://dx.doi.org/10.1145/3534625.
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We present a case study that informs the creation of a 'companion guide' providing transparency to potential non-expert users of a ubiquitous machine learning (ML) platform during the initial onboarding. Ubiquitous platforms (e.g., smart home systems, including smart meters and conversational agents) are increasingly commonplace and increasingly apply complex ML methods. Understanding how non-ML experts comprehend these platforms is important in supporting participants in making an informed choice about if and how they adopt these platforms. To aid this decision-making process, we created a companion guide for a home health platform through an iterative user-centred-design process, seeking additional input from platform experts at all stages of the process to ensure the accuracy of explanations. This user-centred and expert informed design process highlights the need to present the platform's entire ecosystem at an appropriate level for those with differing backgrounds to understand, in order to support informed consent and decision making.
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Priyatno, Dwi, Rizky Wardhani, Cheriani Cheriani, Yoel Frans Alfredo, and Fatmawati Sabur. "Support Student Engagement through Technology-Based Collaborative Platforms." Journal International of Lingua and Technology 3, no. 2 (2024): 298–312. http://dx.doi.org/10.55849/jiltech.v3i2.678.
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Keeping students engaged in teaching and learning activities is a very difficult task for teachers and schools. Changes in school systems are continuously changing the way students interact and engage in learning, forcing educators to explore resources and strategies to better support students. Educational technology helps educators meet today's needs and is an important resource for the learning process. Increased use of technology in learning environments can support and enhance student engagement. The emergence of collaborative platforms is a form of technological interest to support student engagement. The purpose of this research is to explore whether technology with collaborative platforms can support student involvement in the learning process. Through research on supporting student engagement through this technology-based collaboration platform, researchers hope that using technology-based collaboration platforms in learning can help students in the learning process. The method used in this research is a quantitative method. Researchers conducted a survey using a Google form consisting of 15 sentences related to the research title. The researchers found that supporting student engagement through technology-based collaborative platforms had a major impact on student engagement. The presence of a collaborative learning platform makes students more enthusiastic and excited. Students feel that with cooperation in the learning process, learning becomes more differentiated and attracts students' attention. The limitations of this research are that researchers only conduct research in schools and researchers do not conduct research directly in schools but share survey links on Google forms containing statements about supporting student engagement through technology-based collaborative platforms.
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Johannesson, Hans, Jonas Landahl, Christoffer Levandowski, and Dag Raudberget. "Development of product platforms: Theory and methodology." Concurrent Engineering 25, no. 3 (2017): 195–211. http://dx.doi.org/10.1177/1063293x17709866.
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There is a trend toward increased customization of goods to satisfy a wide range of customers using product platforms. However, there is an erroneous notion that product platforms can only be used to provide economic viability in production thanks to the reuse of physical components among a family of products. Yet, this is a limited perception of the potential of a product platform. In this article, an object-oriented approach to support the development of product platforms is proposed to increase efficiency through reuse and flexibility of designs among a family of products. Two modes of the platform development process are addressed: platform preparation and platform execution. Platform preparation prescribes the methods needed to model platform objects, using enhanced function-means models and set-based concurrent engineering processes. During the platform execution process, sets of design alternatives can be configured concurrently throughout the conceptual, system, and detailed phases of the platform development. Three cases illustrate how the same approach may be used in different design scenarios: design space exploration and extension, supply-chain collaboration, and configure-to-order. The approach supports system architects and design engineers in making design decisions that propel the platform development work by enabling analysis in stages where designs are immature and evaluating the goodness of the alternatives early. Ultimately, product platforms can be efficiently developed for modularity and scalability to find feasible product variants and meet the needs of a multitude of customers.
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Davison, Claire, Peyman Akhavan, Tony Jan, et al. "Evaluation of Sustainable Digital Currency Exchange Platforms Using Analytic Models." Sustainability 14, no. 10 (2022): 5822. http://dx.doi.org/10.3390/su14105822.
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This study presents an analytic model to support the general public in evaluating digital currency exchange platforms. Advances in technologies have offered profitable opportunities, but the general public has difficulty accessing appropriate information on digital currency exchange platforms to facilitate their investments and trading. This study aims to provide a decision support system using analytic models that will guide the public in deciding the appropriate digital currency exchange platform for trading and investment. The overarching objective is to support the public in embracing the new era of a dependable, trustworthy, and sustainable digital society. Particularly, this study offers an analytics model that compares numerous well-known digital currency exchange platforms based on the opinions of 34 human expert members on six main criteria to identify the most suitable platform. In this study, the analytic hierarchy process approach, which is a multiple-criteria decision-making method, and Expert Choice software were used for decision support. Using pairwise comparisons of exchanges with respect to the criteria in the software, the weight of each exchange was determined, and these weights became the basis for prioritizing the exchange platform. This study provides valuable insight into how an analytics-driven expert system can support the public in selecting their digital currency exchange platform. This work is an integral part of an effort to help disruptive digital technology become widely accepted by the general public.
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Márquez Sánchez, Sergio. "Integral Support Predictive Platform for Industry 4.0." ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal 9, no. 4 (2020): 71–82. http://dx.doi.org/10.14201/adcaij2020947182.
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Currently, companies in the industrial sector are focusing their efforts on incorporating the advances contained in the Industry 4.0 model, to continue competing in an increasingly high-tech market. These advances, in addition to productivity, have a remarkable impact on the working environment of workers and on the measures adopted to maintain a healthy workspace. Thus, for example, there are projects to develop augmented reality technologies for maintenance and industrial training, advanced modelling tools for additive manufacturing, or Big Data analysis platforms for industrial data. However, the solutions designed are too specific to a particular industry problem or the platforms proposed are too generalist and not easily adaptable to the industries. This work seeks to provide a reference software architecture at the service of the connected industry that allows the provision of new capacities for process optimisation, predictive maintenance and real-time visualisation, integrating all the relevant information generated by the existing systems, incorporating new sources of data resulting from the digital society, and ensuring future compatibility with the new sources of information, solutions and Industrial Internet of Things (IIoT) devices that may be implemented.
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Sclabassi, Robert J., Qiang Liu, Steven A. Hackworth, Gusphyl A. Justin, and Mingui Sun. "Platform technologies to support brain–computer interfaces." Neurosurgical Focus 20, no. 5 (2006): 1–13. http://dx.doi.org/10.3171/foc.2006.20.5.6.
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✓There is a lack of adequate and cost-effective treatment options for many neurodegenerative diseases. The number of affected patients is in the millions, and this number will only increase as the population ages. The developing areas of neuromimetics and stimulative implants provide hope for treatment, as evidenced by the currently available, but limited, implants. New technologies are emerging that are leading to the development of highly intelligent, implantable sensors, activators, and mobile robots that will provide in vivo diagnosis, therapeutic interventions, and functional replacement. Two key platform technologies that are required to facilitate the development of these neuromimetic and stimulative implants are data communication channels and the devices' power supplies. In the research reported in this paper, investigators have examined the use of novel concepts that address these two needs. These concepts are based on ionic volume conduction (VC) to provide a natural communication channel to support the functioning of these devices, and on biofuel cells to provide a continuously rechargeable power supply that obtains electrons from the natural metabolic pathways. The fundamental principles of the VC communication channels, including novel antenna design, are demonstrated. These principles include the basic mechanisms, device sensitivity, bidirectionality of communication, and signal recovery. The demonstrations are conducted using mathematical and finite element analysis, physical experiments, and animal experiments. The fundamental concepts of the biofuel cells are presented, and three versions of the cells that have been studied are discussed, including bacteria-based cells and two white cell–based experiments. In this paper the authors summarize the proof or principal experiments for both a biomimetic data channel communication method and a biofuel cell approach, which promise to provide innovative platform technologies to support complex devices that will be ready for implantation in the human nervous system in the next decade.
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Grossniklaus, Michael, Stefania Leone, Alexandre de Spindler, and Moira C. Norrie. "A Platform to Support Object Database Research." Journal of Object Technology 12, no. 2 (2013): 2:1. http://dx.doi.org/10.5381/jot.2013.12.2.a2.
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Williams, Neil, Gordon S. Blair, Geoff Coulson, and Nigel Davies. "A support platform for distributed multimedia applications." Intelligent Tutoring Media 3, no. 4 (1992): 117–26. http://dx.doi.org/10.1080/14626269209408317.
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Azevedo, Daniel, Pedro Lopes, and Damiana Guedes. "EasyAsk - A Web Platform to Support Students." e3 10, no. 1 (2024): 09–22. https://doi.org/10.29073/e3.v10i2.944.
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The COVID-19 pandemic triggered a sudden transformation in higher education, requiring institutions to rapidly adapt to distance learning to ensure the continuity of education. In this context, the need for innovative tools that provide more effective and collaborative pedagogical support emerged. This article presents EasyAsk, a digital platform developed to complement both traditional and remote learning, integrating Artificial Intelligence (AI) functionalities to personalize the learning experience. EasyAsk promotes continuous interaction between students and professors, as well as among peers, facilitating the resolution of questions and the sharing of knowledge. The platform was validated through a case study conducted at the School of Technology and Management of Lamego (ESTGL) during the 2021-2022 and 2022-2023 academic years.
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Lee, Hochul, Jaehun Lee, Young Choon Lee, and Sooyong Kang. "CollaboRoid: Mobile platform support for collaborative applications." Pervasive and Mobile Computing 55 (April 2019): 13–31. http://dx.doi.org/10.1016/j.pmcj.2019.02.006.
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Tanniru, Mohan R., Nimit Agarwal, Amanda Sokan, and Salim Hariri. "An Agile Digital Platform to Support Population Health—A Case Study of a Digital Platform to Support Patients with Delirium Using IoT, NLP, and AI." International Journal of Environmental Research and Public Health 18, no. 11 (2021): 5686. http://dx.doi.org/10.3390/ijerph18115686.
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For an organization to be customer centric and service oriented requires that it use each encounter with a customer to create value, leverage advanced technologies to design digital services to fulfill the value, and assess perceived value-in-use to continue to revise the value as customer expectations evolve. The adaptation of value cycles to address the rapid changes in customer expectations requires agile digital platforms with dynamic software ecosystems interacting with multiple actors. For public health agencies focused on population health, these agile digital platforms should provide tailored care to address the distinct needs of select population groups. Using prior research on aging and dynamic software ecosystems, this paper develops a template for the design of an agile digital platform to support value cycle activities among clinical and non-clinical actors, including population groups. It illustrates the design of an agile digital platform to support clients that suffer from delirium, using digital services that leverage Internet of Things, natural language processing, and AI that uses real-time data for learning and care adaption. We conclude the paper with directions for future research.
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Auliya, Prativi Khilyatul, Tri Yuli Ardiyansah, and Ribeh Najib Muhammad. "Mobile Assisted Language Learning: Platfoms To Support Students Teacher Improving Reading Skill." Journal of English Teaching, Literature, and Applied Linguistics 5, no. 1 (2021): 70. http://dx.doi.org/10.30587/jetlal.v5i1.2527.
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This study was investigating the platforms on Mobile Assisted Language Learning (MALL) that mostly used by students teachers on first and second year to improve their reading skill. Qualitative research design which used questionnaire and interview was employed to gain and analyze the data. The result showed that 79.3% students benefited various platforms, while the rest never used any platforms to support improving their reading skill. The top-five platforms were; (1) Wattpad, (2) Social Media, (3) Duolingo, (4) U-Dictionary, and (5) Quora. Students favored those platforms due to its popularity, attractiveness, efficiency, and benefit. The up-to-date and popular platform such as various social media and Quora were used to improve reading skill by connecting them to communicate to English native. Attractive platform such as Wattpad, where they could read countless stories was demanded to please their soul of readers. The efficient ones, Duolingo and U-Dictionary were chosen by them who prefer to learn in organized way. Fortunately, all of those platforms offered advantages for students such as improving their vocabulary acquisition, grammar competence, reading speed, and reading comprehension as well.
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Nath, Ira, Vicky Kumar, and Rani Kumari. "YOOM MEETING PLATFORM." International Journal of Advanced Research 12, no. 10 (2024): 867–80. http://dx.doi.org/10.21474/ijar01/19706.
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In the current remote work era, the demand for efficient and secure online meeting platforms has skyrocketed. This research paper introduces a groundbreaking web application designed to enhance virtual meeting experiences. Central to this platform is a sophisticated infrastructure supported by Clerk, which provides advanced authentication and authorization mechanisms, ensuring secure and seamless user access through various channels like social sign-up and traditional email/password. Once logged in, users have extensive meeting controls, including configuration, recording, screen sharing, and participant management, all accessible through an intuitive interface. The platform simplifies the entire meeting lifecycle, enabling users to schedule, retrieve past records, and join sessions easily. Security and privacy are paramount, with robust architecture safeguarding user data. The design prioritizes user experience, offering customizable settings, intelligent scheduling, smart record management, seamless integration with productivity tools, real-time analytics, virtual backgrounds, and interactive whiteboards. The platform supports multiple languages and accessibility features, ensuring inclusivity. Enhanced security measures, including end-to-end encryption and multi-factor authentication, and GDPR compliance, further protect user data. Scalable architecture ensures optimal performance during peak usage, with continuous updates aligning with user needs and technological advancements. A vibrant user community fosters knowledge sharing and support, while dedicated customer support ensures prompt resolution of issues. Cross-platform compatibility and environmental sustainability are additional benefits. This virtual meeting platform sets a new benchmark in usability, security, and adaptability for modern collaboration.
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Dadhania, Seema, Brian Herrick, Bea Bakshi, et al. "Shifting the paradigm: Early identification of colorectal cancer with C the Signs clinical decision support." Journal of Clinical Oncology 43, no. 4_suppl (2025): 54. https://doi.org/10.1200/jco.2025.43.4_suppl.54.
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54 Background: The incidence of colorectal cancer is increasing rapidly, particularly amongst younger people. Despite a screening program being widely available, most patients are diagnosed with cancer through symptomatic presentation. Leveraging electronic medical records (EMRs) through clinical decision support platforms offers potential for identifying high-risk individuals before clinical suspicion develops. This study aims to explore the challenges associated with early colorectal cancer diagnosis and evaluate the effectiveness of the cancer case finding feature of a cancer management platform called C the Signs. Methods: A retrospective analysis was conducted using data from the Mayo Data Platform, comprising records of 894,275 patients, including 7,348 diagnosed with colorectal cancer. C the Signs was employed to identify patients at risk of colorectal cancer based on EMR data. Sensitivity and specificity analyses were performed to assess the platform's performance in identifying high-risk patients. Additionally, the study evaluated the temporal discrepancy in colorectal cancer diagnoses between those flagged by C the Signs and those detected by primary care physicians. Results: The C the Signs screening platform had a sensitivity of 93.8% and a specificity of 19.7% in identifying patients at risk of colorectal cancer. Notably, 29.4% of patients with colorectal cancer were identified as being at risk up to 5 years earlier by C the Signs compared to diagnoses made by primary care physicians, highlighting the platform's potential for early detection. Conclusions: Early identification of high-risk individuals holds promise for improving patient outcomes and reducing the burden of colorectal cancer. Whilst the specificity of the C the Signs platform for colorectal cancer is relatively low, the sensitivity is comparable to the most favorable rates reported for colonoscopy. In addition, if C the Signs was used in conjunction with a relatively cheap screening test such as Faecal Immunochemical Testing, this would significantly drive up the specificity whilst maintaining the sensitivity. Further studies are needed to assess its efficacy in conjunction with tests available in primary care.
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Prasetianto, Mushoffan, Rizkiana Maharddhika, Hafida Ruminar, and Dian Islami Prasetyaningrum. "Online Learning at Early Pandemic Situation: Grassroots Voices." JPI (Jurnal Pendidikan Indonesia) 10, no. 3 (2021): 570. http://dx.doi.org/10.23887/jpi-undiksha.v10i3.29561.
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The advent of the COVID-19 pandemic reconfigured several aspects of life, one of which is education. A study on grassroots voices on online learning is a dearth of. Therefore, a present study was addressed to uncover teachers’ and students’ voices in online learning. Questionnaires and interviews were employed to garner data. 233 students and 30 teachers’ responses from questionnaires were obtained. The interviews were conducted to obtain in-depth data. The data were interpreted descriptively. The results showcased that students’ voices on the ease of GC and GC performance were positive, yet institution support was not maximally implemented. Simultaneously, the teachers’ voices on the ease of GC, the performance of GC, and the supports of institution were positive. In a nutshell, teachers and students have a positive impression of online learning. Their positive impression comes from the ease of the online platform operation, the online platform’s good performance, but student views that the institutional support is not maximally implemented. The ease of using online platforms should be considered in choosing one of the various online platforms available. The online platform features are not complicated for students and teachers to easily operationalize the online platform and support teaching and learning activities such as delivering materials, assigning tasks, submitting a task, and assessing tasks.
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Jovanović, Aleksandar, and Aleksandar Milosavljević. "VoRtex Metaverse Platform for Gamified Collaborative Learning." Electronics 11, no. 3 (2022): 317. http://dx.doi.org/10.3390/electronics11030317.
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Metaverse platforms are becoming an increasingly popular form of collaboration within virtual worlds. Such platforms provide users with the ability to build virtual worlds that can simulate real-life experiences through different social activities. In the paper, we introduce a novel platform that provides assistive tools for building an educational experience in virtual worlds and overcoming the boundaries caused by pandemic situations. Therefore, the authors developed a high-level software architecture and design for a metaverse platform named VoRtex. VoRtex is primarily designed to support collaborative learning activities with the virtual environment. It is designed to support educational standards and it represents an open-source accessible solution developed using modern technology stack and metaverse concepts. For this study, we conducted a comparative analysis of the implemented VoRtex prototype and some popular virtual world platforms using Mannien’s matrix. Afterwards, based on the comparison, we evaluated the potential of the chosen virtual world platform and the VoRtex platform for online education. After an interactive demonstration of the VoRtex platform, participants were asked to fill out a questionnaire form. The aim was to enable participants to identify the main advantages of online teaching using the VoRtex platform. Finally, the authors analyzed benefits and disadvantages of collaborative learning between the metaverse platform and real-world classroom sessions.