Research on Result Integration Mechanism Based on Crowd Wisdom to Achieve the Correlation of Resources and Knowledge Points

Author(s):  
Xu Du ◽  
Fan Zhang ◽  
Mingyan Zhang ◽  
Shuai Xu ◽  
Mengjin Liu
2018 ◽  
Author(s):  
Ayelet Ben-Sasson ◽  
Eli Ben-Sasson ◽  
Kayla Jacobs ◽  
Rotem Malinovitch

BACKGROUND To lower barriers to developmental screening, we designed Baby CROINC (CROwd INtelligence Curation), a digital platform to help parents track and assess their children’s development through crowd wisdom. OBJECTIVE To understand users’ experiences using Baby CROINC in relation to users’ technological competence and attitudes, while considering the influence of their children’s presented developmental evaluations and parents’ actual use of the system. METHODS Mothers of 260 children (M age= 17.6 months, SD=13.7) used Baby CROINC for two weeks. They entered developmental milestones on their children’s developmental diary timeline and received statistical developmental percentile reports. Mothers then completed Usability and Technology Profile Questionnaires. RESULTS Mothers’ experiences of the Baby CROINC system usability were associated with their attitudes toward solving technological problems, mediated by frequency of engagement in Internet activities. Mothers with a proactive approach toward solving technology problems, engage in a wide range of Internet activities, and/or view the Internet as integral to their lives had a better experience with Baby CROINC than mothers who did not. The system’s perceived usability was not associated with the crowd-based child developmental percentiles or quantity of mothers’ usage of the system. CONCLUSIONS Parent’s user experiences correlate with their technology competence and problem solving attitude but is not correlated with their child’s developmental status. Developmental screening platforms need to solve the tension between requiring active engagement and encouraging proactive parenting.


2021 ◽  
Vol 44 ◽  
Author(s):  
Stefan Buijsman

Abstract Clarke and Beck argue that the ANS doesn't represent non-numerical magnitudes because of its second-order character. A sensory integration mechanism can explain this character as well, provided the dumbbell studies involve interference from systems that segment by objects such as the Object Tracking System. Although currently equal hypotheses, I point to several ways the two can be distinguished.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Novi Lailatul Khoirunnisa ◽  
Rangga Almahendra

Purpose This study aims to explore the extent to which inter-organizational hybrid governance manages the micro design for optimum reverse knowledge transfer in the open innovation context. The authors use two essential facets of micro design in hybrid governance: product adaptation and integration mechanism. Design/methodology/approach Data for this study were collected from franchisees through structured questionnaires in Indonesia. Findings Results indicated that product adaptation has a positive relationship with reverse knowledge transfer. This study also found that the formalization strengthens the relationship between product adaptation and reverse knowledge transfer. However, the socialization does not have a moderation effect. Research limitations/implications This research estimates the knowledge transfer from the agent’s side only. Therefore, further research is expected to estimate the reverse knowledge transfer in dyads (from agent and principal) to get a detailed understanding of reverse knowledge transfer. Practical implications This study offers guidelines to managers, especially in inter-organizational hybrid governance. The authors suggest reverse knowledge transfer as a form to manage the dispersed knowledge from their agents. Governing institutions should change their view that agents have diverse knowledgebase from experience adapting to local conditions and can improve their open innovation through reverse knowledge transfer. From the results, it is found that giving agents the flexibility to adapt products can boost reverse knowledge transfer to support open innovation. Originality/value This study provides an understanding of the utilization of external knowledge sourcing in the context of open innovation from agent to principal in hybrid governance through reverse knowledge transfer, which has thus far been empirically under-researched.


1994 ◽  
Vol 14 (10) ◽  
pp. 6419-6432
Author(s):  
C C Chiang ◽  
J C Kennell ◽  
L A Wanner ◽  
A M Lambowitz

The Mauriceville and Varkud mitochondrial plasmids of Neurospora spp. are closely related, small circular DNAs that propagate via an RNA intermediate and reverse transcription. Although the plasmids ordinarily replicate autonomously, they can also integrate into mitochondrial DNA (mtDNA), yielding defective mtDNAs that in some cases cause senescence. To investigate the integration mechanism, we analyzed four cases in which the Varkud plasmid integrated into the mitochondrial small rRNA gene, three in wild-type subcultures and one in a senescent mutant. Our analysis suggests that the integrations occurred by the plasmid reverse transcriptase template switching between the plasmid transcript and internal sequences in the mitochondrial small rRNA to yield hybrid cDNAs that circularized and recombined homologously with the mtDNA. The integrated plasmid sequences are transcribed, presumably from the mitochondrial small rRNA promoters, resulting in hybrid RNAs containing the 5' segment of the mitochondrial small rRNA linked head-to-tail to the full-length plasmid transcript. Analysis of additional senescent mutants revealed three cases in which the plasmid used the same mechanism to integrate at other locations in the mtDNA. In these cases, circular variant plasmids that had incorporated a mitochondrial tRNA or tRNA-like sequence by template switching integrated by homologous recombination at the site of the corresponding tRNA or tRNA-like sequence in mtDNA. This simple integration mechanism involving template switching to generate a hybrid cDNA that integrates homologously could have been used by primitive retroelements prior to the acquisition of a specialized integration machinery.


1998 ◽  
pp. 41-61 ◽  
Author(s):  
Mark S. T. Hansen ◽  
Sandrine Carteau ◽  
Christopher Hoffmann ◽  
Ling Li ◽  
Frederic Bushman

Author(s):  
Nikolay Sinyak ◽  
Singh Tajinder ◽  
Jaglan Madhu Kumari ◽  
Vitaliy Kozlovskiy

Ubiquitous growth in the text mining field is unprecedented, where social media mining is playing a significant role. Gigantic growth of text mining is becoming a potential source of crowd wisdom extraction and analysis especially in terms of text pre-processing and sentiment analysis. The analysis of a potential influence of sentiment on real estate markets controversially discussed by scholars of finance, valuation and market efficiency supporters. Therefore, it’s a significant task of current research purview which not only provide an appropriate platform for the contributors but also for active real estate market information seekers. Text mining has gained the widespread attention of real estate market information users which is almost on explosion level. Accessibility of data on such behemoth scale mandates regular and critical analysis of this information for various perspectives’ plausibility. Rich patterns of online social text can be exploited to extract the relevant real estate information effectively. As text mining plays a significant and crucial role in discovery of these insights therefore its challenges and contribution in social media analysis must be explored extensively. In this paper, we provide a brief about the current summary of the modern state of text mining in pre-processing and sentiment for the real estate market analysis. Empha-sis is placed on the resources and learning mechanism available to real estate researchers and practitioners, as well as the major text mining tasks of interest to the community. Thus, the main aim of this chapter is to expound and intellectualize the domains of social media which are accessible on an extraordinary range in the field of text mining real estate for predicting real estate market trends and value.


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