317 research outputs found
Evaluating the North St Paul City Redevelopment Process
No full textReport, presentation and handout completed by students enrolled in OLPD 5501: Principles and Methods of Evaluation, taught by Randi Nelson in fall 2013.This project was completed as part of the 2013-2014 Resilient Communities Project (rcp.umn.edu) partnership with the City of North St. Paul. North St. Paul had a goal of becoming a “redevelopment ready” community, a designation given by the Urban Land Institute. In 2011, the city also applied for a Metropolitan Council livable cities grant. To reach these goals, project lead Paul Ammerman collaborated with students in OLPD 5501: Principles and Methods of Evaluation, taught by Randi Nelson, to evaluate the City’s redevelopment proposal. The students identified stakeholders, set the context for the evaluation, and offered an evaluation proposal. The final report, presentation, and handout are available.This project was supported by the Resilient Communities Project (RCP), a program at the University of Minnesota whose mission is to connect communities in Minnesota with U of MN faculty and students to advance community resilience through collaborative, course-based projects. RCP is a program of the Center for Urban and Regional Affairs (CURA). More information at http://www.rcp.umn.edu.Ologbosere, Itohan; Goldbeck, Briana; Zji, JingJing; Foley, Kari. (2013). Evaluating the North St Paul City Redevelopment Process. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/194781
POLA PIRIGAN CALUNG JINGJING PADA LAGU LAYUNG GALUNGGUNG DI SANGGAR GAPURA EMAS SUKABUMI
No full textTujuan penelitian ini adalah untuk mengetahui pola pirigan calung jingjing pada lagu Layung Galunggung. Selain itu penulis berharap mampu memperoleh data secara terperinci dari ragam pola iringan calung jingjing itu sendiri, tidak hanya pada lagu Layung Galunggung akan tetapi pada lagu lainnya. Metode penelitian yang digunakan pada penelitian ini adalah Studi kasus , yakni peneliti mendalami sebuah kasus tertentu secara lebih mendalam dengan melibatkan pengumpulan data dari berbagai sumber informasi dengan melakukan wawancara secara langsung dan meleliti kasus dan beberapa kajian pustaka yang bersumber dari jurnal, E-book dan beberapa skripsi sarjana yang bersumber dari internet. Hasil dari penelitian ini adalah penulis memperoleh pola-pola pirigan calung jingjing, diantaranya pola tabuh pangkat, pola tabuh ngalagu/melodi/gelenyu, pola tabuh keleter, pola tabuh paut/pautan, dan pola tabuh caruk/ carukan. Penulis berharap penelitian dapat menjadi acuan pembelajaran dalam lingkungan Akademik maupun Non- Akademik. Kesimpulan dari seluruh hasil penelitian tersebut adalah masyarakat khususnya dilingkungan Sanggar Gapura Emas sendiri dapat mengetahui bagaimana pola pirigan calung jingjing.
The purpose of this study was to determine the pattern of the calung jingjing plate on the song Layung Galunggung. In addition, the author hopes to be able to obtain detailed data from the pirigan patterns of the calung jingjing plate itself, not only on the song Layung Galunggung but on other songs. The research method used in this study is a case study, where the researcher explores a particular case in greater depth by involving the collection of data from various sources of information by conducting direct interviews and researching cases and several literature studies sourced from journals, e-books and several undergraduate thesis sourced from the internet. The results of this study are the authors pirigan the patterns of the calung jingjing percussion, including pangkat percussion pattern, the ngalagu/melody/gelenyu percussion pattern, the keleter percussion pattern, the paut/pautan percussion pattern, and the caruk/carukan percussion pattern. The author hopes that research can be a reference for learning in both Academic and Non-Academic environments. The conclusion from all the research results is that the community, especially the Gapura Emas Studio environment itself, can find out how the pattern of the calung jingjing pirigan is
Personalizing information retrieval using task features, topic knowledge, and task products
No full textPersonalization of information retrieval tailors search towards individual users to meet their particular information needs by taking into account information about users and their contexts, often through implicit sources of evidence such as user behaviors and contextual factors. The current study looks particularly at users’ dwelling behavior, measured by the time that they spend on documents; and several contextual factors: the stage of users’ work tasks, task type, users’ knowledge of task topics, to explore whether or not taking account of task stage, task type, and topic knowledge could help predict document usefulness from the time that users spend on the documents. This study also investigates whether or not expanding queries with important terms extracted from task products and useful pages improves search performance. To these ends, a controlled lab experiment was conducted with 24 student participants, each coming three times in a two-week period to work on three sub-tasks in a general work task. Data were collected by logging software that recorded user-system interaction and questionnaires that elicited users’ background information and perceptions on a number of aspects. Observations in the study and examinations of the data found that the time users spent on documents could have three different types: total display time, total dwell time, and decision time, which had different roles in working as a reliable indicator of document usefulness. Task stage was found to help interpret certain types of time as reliable indicators of document usefulness in certain task types, so was topic knowledge, and the latter played a more significant role when both were available. This study contributes to a better understanding of how information seeking behaviors, specifically, time that users spend on documents, can be used as implicit evidence of document usefulness, as well as how contextual factors of task stage, topic knowledge, and task type can help interpret time as an indicator of usefulness. These findings have theoretical and practical implications for using behaviors and contextual factors in the development of personalization systems. Future studies are suggested on making use of these findings as well as research on related issues.Ph.D.Includes bibliographical referencesIncludes vitaby Jingjing Li
MICROPEN DIRECT-WRITE TECHNIQUE FOR FABRICATION OF ADVANCED ELECTROCERAMIC AND OPTICAL MATERIALS
No full textDirect-write technologies, a subset of the rapid prototyping, have been applied for many applications including electronics, photonics and biomedical engineering. Among them, MicropenTM is a promising technique, providing precision deposition of materials with various viscosities, on-line design changes and writing on nonplanar substrates. The objective of this project was to directly write two- and three-dimensional novel structures by MicropenTM for potential optical and transducer applications.
First, to gain a basic understanding of MicropenTM operation, poly(methyl methacrylate) (PMMA) solutions were developed as a model system. The effects of solution rheological properties on deposition conditions were investigated. Secondly, PMMA/SiO2 hybrids were developed using sol-gel process. The effects of organic/inorganic ratios on thermal stability, microstructure and optical properties were studied. The solution with 80 wt% PMMA loading was chosen to deposit lines for optical applications.
Another application was the direct-write of lead zirconate titanate (PZT) thick films (6-70 µm) for MEMS or high frequency medical imaging applications. Pastes consisting of 15-30 vol% ceramic loading in a sol-gel solution were prepared for the deposition of films on various substrates. The PZT sol was used as a binder as well as to achieve low temperature heat treatment of the films. Using the 15 vol% paste with a 250-µm pen tip, a four-layer film was deposited on a silicon substrate. This 16-µm film with 1 cm2 area had K of 870, tanδ of 4.1%, Pr of 12.2 µC/cm2 and Ec of 27 kV/cm.
Furthermore, MicropenTM was utilized for the direct-write of ceramic skeletal structures to develop PZT ceramic/polymer composites with 2-2 connectivity for medical ultrasound transducers. Ceramic/binder based pastes were developed as writing materials. The 35 vol% paste exhibited shear thinning with a viscosity of 45 Pa•s at lower shear rate and 3 Pa•s at higher shear rate. Using a 100-µm pen tip, the fabricated composite with ~360 µm height had resonance frequencies of ~4 MHz, and electromechanical properties of K=650, tanδ=2.1%, kt=0.60 and d33=210 pC/N. Finally, composites with linear and Gaussian volume fraction gradients were fabricated by MicropenTM. Their vibration amplitude profiles showed maximum output at center with gradual decreasing towards edge of the composites.Ph.D.Includes bibliographical references (p. 173-184)by Jingjing Su
Children's engagement and affect in collaborative learning and direct instruction
No full textThis mixed method study investigates the contextual and personal factors that contribute to momentary fluctuation and long term change in children’s behavioral engagement and affect during a six-week intervention, between classrooms employing either Direct Instruction or Collaborative Group work. A total of 96 four-minute video clips from 24 fifth-grade classrooms were coded, and student behavioral engagement, affect, and lesson participation type were examined from the thirty-two 30-second intervals for each of 150 children. Applying both quantitative and qualitative methods, results showed that classroom instructional approach moderated the impact of children’s participation type on their behavioral engagement; children from Collaborative Group Work classrooms were most likely to be engaged in lessons through peer interaction, while children from Direct Instruction classrooms were most likely to be engaged when interacting with the teacher. Children’s affect was also influenced by the instructional approach they had experienced. Compared to children from Direct Instruction classrooms, those from Collaborative Group Work classrooms were significantly more likely to display positive affect during the intervention. Among various social and cognitive characteristics, nominations children received for talkativeness and having good ideas were the most salient predictors of their behavioral engagement and affect. Children’s engagement and positive affect aggregated over the period of the intervention significantly predicted knowledge acquired during the intervention, and partially explained some aspects of school attitude, including willingness to talk and share ideas, as well as attitudes toward reading and writing.Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2017-08-01The student, Jingjing Sun, accepted the attached license on 2015-07-16 at 14:16.The student, Jingjing Sun, submitted this Dissertation for approval on 2015-07-16 at 14:17.This Dissertation was approved for publication on 2015-07-16 at 15:07.DSpace SAF Submission Ingestion Package generated from Vireo submission #8459 on 2015-09-29 at 15:06:12Made available in DSpace on 2015-09-29T21:03:18Z (GMT). No. of bitstreams: 2
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Leveraging multi-dimensional, multi-source knowledge for user preference modeling and event summarization in social media
No full textThis Dissertation was approved for publication on 2016-07-08 at 10:07.DSpace SAF Submission Ingestion Package generated from Vireo submission #9812 on 2016-11-10 at 12:25:02Made available in DSpace on 2016-11-10T18:42:51Z (GMT). No. of bitstreams: 3
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Previous issue date: 2016-07-08An unprecedented development of various kinds of social media platforms, such as Twitter, Facebook and Foursquare, has been witnessed in recent years. This huge amount of user generated data are multi-dimensional in nature. Some dimensions are explicitly observed such as user profiles, text of social media posts, time, and location information. Others can be implicit and need to be inferred, reflecting the inherent structures of social media data. Examples include popular topics discussed in Twitter or Facebook, or the geographical clusters based on user check-in activities from Foursquare. It is of great interest to both research communities and commercial organizations to understand such heterogeneous data and leverage available information from multiple dimensions to facilitate social media applications, such as user preference modeling and event summarization. This dissertation first presents a general discriminative learning approach for modeling multi-dimensional knowledge in a supervised setting. A learning protocol is established to model both explicit and implicit knowledge in a unified manner, which applies to general classification/prediction tasks. This approach accommodates heterogeneous data dimensions with a significant boosted expressiveness of existing discriminative learning approaches. It stands out with its capability to model latent features, for which arbitrary generative assumptions are allowed. Besides the multi-dimensional nature, social media data are unstructured, fragmented and noisy. It makes social media data mining even more challenging that a lot of real applications come with no available annotation in an unsupervised setting. This dissertation addresses this issue from a novel angle: external sources such as news media and knowledge bases are exploited to provide supervision. I describe a unified framework which links traditional news data to Twitter and enables effective knowledge discovery such as event detection and summarization.Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2018-08-01The student, Jingjing Wang, accepted the attached license on 2016-07-07 at 19:51.The student, Jingjing Wang, submitted this Dissertation for approval on 2016-07-07 at 19:52.Embargo set by: Seth Robbins for item 95466
Lift date: 2018-11-10T18:43:22Z
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Phase field simulation study of the dissolution behavior of Al2O3 into CaO-Al2O3-SiO2 slags
No full textA quantitative phase-field model has been implemented to study the dissolution behavior of alumina (Al2O3) into CaO-Al2O3-SiO2 slags. The simulations allowed evaluating the influence of temperature and composition on the diffusion paths and dissolution rates of Al2O3 into CaO-Al2O3-SiO2 slags. The results obtained in the simulations are consistent with experimental observations and the predictions from an analytical dissolution model. The phase field simulations show that the dissolution rate of Al2O3 increases with temperature. Increasing CaO at a fixed Al2O3 content or decreasing Al2O3 content at a fixed CaO/SiO2 ratio also results in a higher dissolution rate of Al2O3. The results are further interpreted based on thermodynamic and kinetic considerations.sponsorship: The author, Jingjing Liu, thanks to the financial support from Chinese Scholarship Council (CSC). (Chinese Scholarship Council (CSC))status: Publishe
Exploiting multispectral and contextual information to improve human detection
No full textHuman detection has various applications, e.g., autonomous driving car, surveillance system, and retail. In this dissertation, we first exploit multispectral images (i.e., RGB and thermal images) for human detection. We extensively analyze Faster R-CNN for the detection task and then model multispectral human detection into a fusion problem of convolutional networks (ConvNets). We design four distinct ConvNet fusion architectures that integrate two-branch ConvNets on different stages of neural networks, all of which yield better performance compared with the baseline detector. In the second part of this dissertation, we leverage instance-level contextual information in crowded scenes to boost performance of human detection. Based on a context graph that incorporates both geometric and social contextual patterns from crowds, we apply progressive potential propagation algorithm to discover weak detections that are contextually compatible with true detections while suppressing irrelevant false alarms. The method significantly improves the performance of any shallow human detectors, obtaining comparable results to deep learning based methods.Ph.D.Includes bibliographical referencesby Jingjing Li
Study of Top2b function on fibroblast migration using microfluidic device
No full textBackground: Top2b is known to be essential in neural development. The lack of Top2b in embryonic stem cell (ESC)-derived neurons may cause premature cell death, as well as abnormal retinal development. So far, few research has focused on using fibroblasts to investigate the function of Top2b. Therefore, function of Top2b in fibroblast migration still remains unclear. Material and methods: Fibroblasts were obtained from postnatal day 1 (P1) mice and cultured for 7 days before transferred to microfluidic devices. Top2b inhibitor ICRF-193 was used to suppress Top2b function and determine the effect of Top2b on fibroblast migration. Fibroblasts were seeded on one side of two-chamber microfluidic devices and treated with 0.1 μM, 1 μM, and 10 μM ICRF-193, whereas equal concentration of DMSO and DMEM were used as controls. Continuous 7-day observation starts from 1 day after seeding cells on devices. Overnight time-lapse microscopy was performed on cells between 2 days and 4 days. Results: Significant differences in the number and speed of fibroblast cell migration were observed with ICRF-193 treatment. Higher concentration of ICRF-193 resulted in fewer cells in the migration chamber and slower migration speed. Conclusions: These results demonstrate an important role of Top2b in fibroblast migration, thus further making Top2b as a potential target for wound healing and treatment of cancer.M.S.Includes bibliographical referencesby Jingjing Sh
Phase-field simulation and analytical modelling of CaSiO3 growth in CaO-Al2O3-SiO2 melts
No full textIsothermal crystallization of a hexagonal crystal (Wollastonite) in ternary melts (CaO-Al2O3-SiO2) was simulated by quantitative phase-field simulation and analytical modelling. The dependence of initial composition, undercooling, interfacial energy and anisotropy strength on the growth behavior of Wollastonite was comprehensively investigated. According to simulation results, a transition from flat to dendritic growth of CaSiO3 occurs; the formation of dendritic Wollastonite is favorable at a lower Al2O3 content, a lower temperature and a higher anisotropy. When temperature increases, the transition prefers taking place at lower interface energy. Simulations also show that the tip velocity firstly increases until it reaches a maximum value and then decreases slowly with further decreasing the temperature, while the velocity only increases at a lower interfacial energy level. For anisotropy strength, its increase causes a higher tip velocity. Furthermore, validation of these parameter effects was performed by comparing the simulation results with an analytical model, showing quantitatively good agreement, when solute interaction was taken into account in the analytical model.sponsorship: The author, Jingjing Liu, thanks to the financial support from Chinese Scholarship Council (CSC). All simulations were performed on the high performance computer from VSC (Flemish Supercomputer Centrum). The Flemish Supercomputer Center is financed by the Department of Economy, Science and innovation - Flemish Government and the Hercules Foundation. (Chinese Scholarship Council (CSC), Department of Economy, Science and innovation - Flemish Government, Hercules Foundation)status: Publishe
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