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Journal articles on the topic 'Collaborative Research Center 912'

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Published: 4 June 2021

Last updated: 18 February 2022

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1

Fahmy, Raafat, Simin Hassannejad, Tabasi, and Stephen W. Hoag. "The Collaborative Research Project between the University of Maryland and Center for Veterinary Medicine at FDA." NIR news 17, no. 5 (August 2006): 4–5. http://dx.doi.org/10.1255/nirn.902.

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2

Martinovic, John, Eduard Jorswieck, and Guntram Scheithauer. "The Skiving Stock Problem and its Application to Cognitive Radio Networks**This work is partly supported by the German Research Foundation (DFG) in the Collaborative Research Center 912 "Highly Adaptive Energy-Efficient Computing"." IFAC-PapersOnLine 49, no. 12 (2016): 99–104. http://dx.doi.org/10.1016/j.ifacol.2016.07.557.

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3

Bigman, Galya, Sally Adebamowo, and Clement Adebamowo. "Matched Case-Control Study of Beans Intakes and Breast Cancer Risk in Urbanized Nigerian Women." Current Developments in Nutrition 4, Supplement_2 (May 29, 2020): 310. http://dx.doi.org/10.1093/cdn/nzaa044_009.

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Abstract Objectives To examine the association between dietary intake of beans and breast cancer in Nigerian women. Methods Overall 630 newly diagnosed patients with primary invasive breast cancer were age-matched (±5 years) with 630 controls from the Nigerian Integrative Epidemiology of Breast Cancer (NIBBLE) Study from 01/2014 to 07/2016. Dietary intakes were collected using a food frequency questionnaire (FFQ) to derive daily intake of beans. The daily bean intakes included intakes of beans alone, bean porridge, bean cake (akara), bean pudding (moinmoin), beans and corn (adalu) and bean soup (gbegiri). We categorized the daily bean intake into low, medium and high equally based on the distribution. Additional covariates included occupation, education, wealth index, contraceptive use, menopause status, number of pregnancies, breastfeeding, Body Mass Index, Waist to Hip Ratio and physical activity. Conditional logistic regression models were utilized to estimate the crude and adjusted Odds Ratio (OR) of total beans intake per day and breast cancer. Results The mean (SD) age of the cases was 42.5 (10.1) and controls was 41.5 (9.2) years. Among controls, almost 36% consume a high intake of total bean compared to 30% among cases, whereas among the cases 37.3% consumed the low intake of total bean compared to 31.6% among controls. In the multivariable, we found a significant association between total beans intakes and breast cancer (OR = 0.85; 95% CI: 0.74–0.97, p-value = 0.02). Comparing the highest category (approximately two portions or more a day) with the lowest category (less than one portion a day), the adjusted OR was 0.72 (95% CI: 0.52–0.98, p-value for trend = 0.04). Conclusions We found a significant association between high intakes of beans and reduce risks for breast cancer. Future studies are needed to evaluate the causality of this relationship and the specific component of beans that is responsible for this reduction. Funding Sources National Human Genome Research Institute of the National Institutes of Health's African Collaborative Center for Microbiome and Genomics Research grant, Award Number U54HG006947; the Fogarty International Center of the National Institutes of Health's Training Program in Nigeria for Non-communicable Diseases Research (TRAPING NCD), Award Number D43TW009106, the Maryland Department of Health's Cigarette Restitution Fund Program.

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Otsuka, Kanji. "Otsuka Laboratory, Collaborative Research Center, Meisei University." Journal of Japan Institute of Electronics Packaging 15, no. 1 (2012): 114. http://dx.doi.org/10.5104/jiep.15.114.

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5

Jenkins, Davis. "Community College Research Center: Collaborative Research to Improve Student Success." Community College Journal of Research and Practice 39, no. 10 (July 9, 2015): 933–37. http://dx.doi.org/10.1080/10668926.2015.1033780.

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6

Altschul, Jeffrey H., Keith W. Kintigh, Terry H. Klein, William H. Doelle, Kelley A. Hays-Gilpin, Sarah A. Herr, Timothy A. Kohler, et al. "Fostering Collaborative Synthetic Research in Archaeology." Advances in Archaeological Practice 6, no. 1 (February 2018): 19–29. http://dx.doi.org/10.1017/aap.2017.31.

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ABSTRACTWhile our fascination with understanding the past is sufficient to warrant an increased focus on synthesis, solutions to important problems facing modern society require understandings based on data that only archaeology can provide. Yet, even as we use public monies to collect ever-greater amounts of data, modes of research that can stimulate emergent understandings of human behavior have lagged behind. Consequently, a substantial amount of archaeological inference remains at the level of the individual project. We can more effectively leverage these data and advance our understandings of the past in ways that contribute to solutions to contemporary problems if we adapt the model pioneered by the National Center for Ecological Analysis and Synthesis to foster synthetic collaborative research in archaeology. We propose the creation of the Coalition for Archaeological Synthesis coordinated through a U.S.-based National Center for Archaeological Synthesis. The coalition will be composed of established public and private organizations that provide essential scholarly, cultural heritage, computational, educational, and public engagement infrastructure. The center would seek and administer funding to support collaborative analysis and synthesis projects executed through coalition partners. This innovative structure will enable the discipline to address key challenges facing society through evidentially based, collaborative synthetic research.

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Klee, Harry. "Twelve years of the Sonderforschungsbereich (Collaborative Research Center) 363." Journal of Plant Physiology 163, no. 3 (February 2006): 231–32. http://dx.doi.org/10.1016/j.jplph.2005.12.002.

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Jeffs, Lianne, Beverly Bulmer, Maria Maione, Sharon Straus, and Ella Ferris. "Enhancing collaborative practice-based research in an academic health science center." Journal of Nursing Education and Practice 8, no. 4 (November 29, 2017): 51. http://dx.doi.org/10.5430/jnep.v8n4p51.

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Although there is a body of literature around discipline specific capacity building research, less is known empirically around collaborative practice-based research that involves different healthcare disciplines participating in research together in an interprofessional manner in Academic Health Science Centers (AHSCs). This paper provides an overview of results from the mixed methods study and the subsequent strategies one teaching hospital has implemented to enhance collaborative practice-based research. A mixed methods design with a cross-sectional survey design and focus groups/interviews with clinicians and administrators was used. Study participants reported the value of, their role, experience, and use of research in daily practice and recommendations to enhance collaborative practice-based research. Study findings elucidated the current state and strategies to enhance collaborative practice-based research at an AHSC. Engaging clinicians in collaborative practice-based research provides a strategic advantage and return on investment to achieve the tripartite mission.

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Passalacqua, Rodolfo, Caterina Caminiti, Mario Annunziata, Claudia Borreani, Francesca Diodati, Daniele Fagnani, Luciano Isa, Silvia Filiberti, Maria Grazia Ollari, and Jessica Saleri. "Final results of a large collaborative, hospital-based quality improvement study aimed at the implementation of interventions for the psychosocial care of adult cancer patients (HUCARE project)." Journal of Clinical Oncology 30, no. 15_suppl (May 20, 2012): 9120. http://dx.doi.org/10.1200/jco.2012.30.15_suppl.9120.

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9120 Background: Incorporating psychosocial research into practice is challenging. Aim of this study is to assess the feasibility and effectiveness in real life of interventions which have been tested in RCTs and have demonstrated to improve pts psychosocial conditions Methods: This is an implementation study of five EBM interventions conducted in 28 centers. We adopted the model of Pronovost (BMJ 2008), which includes context analysis to identify local barriers; introduction of the interventions, and evaluation of how many pts receive the recommended interventions. Primary EPs: degree of implementation detected in a blinded fashion by external personnel. Interventions included: 1) EBM communication courses for doctors and nurses; 2) use of a question prompt list (QPL) for all pts; 3) creation of the Point of Information and Support (PIS) in the ward (J Clin Oncol 27:1794-99,2009); 4) identification of a referring nurse (RN) for informing and educating pts; 5) screening of distress and social needs. Results: In December 2008, 28 eligible centers applied to participate. 27 are evaluable and 1 is too early. 156 oncologists and 401 nurses attended the 3 days training course. A QPL was subjected to cross-cultural adaptation, yielding the first validated Italian QPL (BMC Health Serv Res 2010). 24 centers (89%) have successfully implemented the intervention; 3 centers failed for various reasons: internal conflicts of the staff, poor motivation, etc. Main results for each intervention are shown in the table. Conclusions: A successful implementation of EBM measure was obtained in the vast majority of oncology centers and yields to significant changes in the delivery of psychosocial care. Project funded by the Italian Ministry of Health and Lombardia Region. [Table: see text]

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Zharova, Alona, Janine Tellinger-Rice, and Wolfgang Karl Härdle. "How to measure the performance of a Collaborative Research Center." Scientometrics 117, no. 2 (September 22, 2018): 1023–40. http://dx.doi.org/10.1007/s11192-018-2910-8.

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Liu, Ai Jun, Shu Juan Li, and Hai Lin Liu. "Game Analysis on the IUR Cooperation and Profit Realization." Advanced Materials Research 912-914 (April 2014): 1879–83. http://dx.doi.org/10.4028/www.scientific.net/amr.912-914.1879.

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How to improve the success rate of the industry-university-research cooperation and form a benign circulation, is the primary topic of current research studies, reasonable investment in research and development is an important guarantee for sharing research results between enterprises and scientific research institutes. It applies the dynamic information game to analysize the input relation between the enterprise and the scientific research institute in the process of the industry-university-research cooperation, and demonstrates the effect of the collaborative pattern on the profit reliezation of the both sides.

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Zoch, H. W. "Distortion engineering - interim results after one decade research within the Collaborative Research Center." Materialwissenschaft und Werkstofftechnik 43, no. 1-2 (January 2012): 9–15. http://dx.doi.org/10.1002/mawe.201100881.

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13

Goodin, S., D. C. Vamos, M. P. Kane, J. Nishioka, S. Lisi, J. R. Neceskas, J. Aisner, E. H. Rubin, M. B. Todd, and W. J. Shih. "Comparison of the demographics of patients enrolled (E) versus those not enrolled (NE) on therapeutic clinical trials at a comprehensive cancer center." Journal of Clinical Oncology 25, no. 18_suppl (June 20, 2007): 17065. http://dx.doi.org/10.1200/jco.2007.25.18_suppl.17065.

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17065 Background: In the U.S., representation of minorities and the elderly in clinical trials has been low yet few reports have evaluated this potential barrier to enrollment by comparing the demographics of patients E vs NE within an institution. Therefore, we compared these groups to determine if there were significant differences in demographics at our center. Methods: For all E patients, demographic data is collected in a clinical trial database. For evaluated NE patients, data was captured through a ‘non-protocol’ form. A univariate analysis was performed on the demographic data, including gender, age, race, and insurance status, for each year to determine if there were differences in patients E vs NE on a therapeutic clinical trial. Results: From June 2003 through December 2005, there were 912 E patients and data available on 474 NE patients. The results were consistent for each year from 2003 to 2005, and therefore combinable, with no statistical difference in any parameter for E patients versus NE patients during any year with the exception of gender (p=0.05; Chi-square). The distribution of patients E by gender is 52% (474/912) female vs 48% (438/912) male and NE is 69% (325/474) female vs 31% (149/474) male. The mean age of E patients was 55 vs 56 years for NE patients, with 32% vs 33% representing those >65years, respectively. For the E patients, 84% were white, 7.2% black, 4.6% Asian, 4.2% unknown, and 0.4% Hawaiian/Pacific Islander (H/PI). For the NE patients, where race was not consistently available, 65% were white, 9.3% black, 3.2% Asian, 20.5% unknown, and 2.1% H/PI. In both groups, most patients had private insurance (E 60%, NE 54%), followed by Medicare (E 27.5%, NE 29%), Medicaid (E 4%, NE 9%), self pay (E 7.5%, NE 7.4%), and unknown (E 1.3%, NE 0.4%). Conclusions: When comparing E vs NE patients, gender was the only factor that differed significantly. Although this result suggests that males were more likely to be E in a clinical trial, this finding should be interpreted with caution, since this difference might relate to differences in trial availability. While lower enrollment rates for the elderly and minority patients have been identified nationally, enrolling this group of patients does not appear to be a barrier at our center. No significant financial relationships to disclose.

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Yan, Jingdong, Li Li, and Xiangmiao Liu. "Collaborative Innovation Research on High-tech Industry in the Center Delta." MATEC Web of Conferences 100 (2017): 05011. http://dx.doi.org/10.1051/matecconf/201710005011.

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15

Maas, Andrew I. R., David K. Menon, Ewout W. Steyerberg, Giuseppe Citerio, Fiona Lecky, Geoffrey T. Manley, Sean Hill, Valerie Legrand, and Annina Sorgner. "Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI)." Neurosurgery 76, no. 1 (January 2015): 67–80. http://dx.doi.org/10.1227/neu.0000000000000575.

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16

Jäkel, René, Eric Peukert, Wolfgang E. Nagel, and Erhard Rahm. "ScaDS Dresden/Leipzig – A competence center for collaborative big data research." it - Information Technology 60, no. 5-6 (December 19, 2018): 327–33. http://dx.doi.org/10.1515/itit-2018-0026.

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Abstract The efficient and intelligent handling of large, often distributed and heterogeneous data sets increasingly determines the scientific and economic competitiveness in most application areas. Mobile applications, social networks, multimedia collections, sensor networks, data intense scientific experiments, and complex simulations nowadays generate a huge data deluge. Nonetheless, processing and analyzing these data sets with innovative methods open up new opportunities for its exploitation and new insights. Nevertheless, the resulting resource requirements exceed usually the possibilities of state-of-the-art methods for the acquisition, integration, analysis and visualization of data and are summarized under the term big data. ScaDS Dresden/Leipzig, as one Germany-wide competence center for collaborative big data research, bundles efforts to realize data-intensive applications for a wide range of applications in science and industry. In this article, we present the basic concept of the competence center and give insights in some of its research topics.

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Adebamowo, Sally N., Eileen O. Dareng, Ayotunde O. Famooto, Rasheed A. Bakare, and Clement A. Adebamowo. "Cohort Profile: African Collaborative Center for Microbiome and Genomics Research (ACCME)." Journal of Global Oncology 2, no. 3_suppl (June 2016): 40s. http://dx.doi.org/10.1200/jgo.2016.003822.

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Abstract 65 Background: Cervical cancer is the second most common cancer in Africa. Much remains unknown about the prevalence and pathogenicity of human papillomavirus (HPV) types and the mechanism of disease, and there is a need for new biomarkers for screening programs. Methods: ACCME is a multicenter prospective cohort study of host germline, somatic and HPV genomics and epigenomics, and vaginal microenvironment; and their association with cervical cancer in 10,000 HIV negative women in Nigeria. Data on demographic, lifestyle, medical history, serum, germline DNA, HPV genotype, and vaginal pH are collected at baseline and during follow up visits every 6 months. Samples of exfoliated cervical cells are analyzed for high risk HPV with Roche LINEAR ARRAY and vaginal bacterial composition and abundance are characterized by deep sequencing of barcoded 16S rRNA gene fragments (V4) on a Illumina MiSeq platform. Colposcopies and biopsies are conducted on participants with clinical lesions and those with persistent high risk HPV infections. Results: By December 2015, 10,000 participants had been enrolled in the ACCME cohort. The mean (SD) age of the study participants at baseline was 40 (10) years. Most of the participants were married (76%), attended university (44%), and had professional jobs (37%). All the study participants have had vaginal sex, 17% have had oral sex, and only 2% have ever had anal sex. We found 30% of the study participants were HPV positive and 70% were HPV negative. The mean (SD) vaginal pH in the study population was 5.2 (0.5). Further analyses to characterize high-risk HPV types and determine persistence will be conducted at each follow up visit. Also, characterization of cervical cytokines and vaginal microbiome will be conducted after the follow up visits for all participants have been conducted. Conclusions: ACCME is a paradigm for translational research in biomarker discovery that addresses high impact public health challenges affecting women's health in Africa and the rest of the world. AUTHORS' DISCLOSURES OF POTENTIAL CONFLICTS OF INTEREST: No COIs from the authors.

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18

Tebben, Ludger, and Armido Studer. "Cooperative Effects in Chemistry-Collaborative Research Center SFB 858 in Münster." Chemistry - A European Journal 23, no. 25 (February 23, 2017): 5857–59. http://dx.doi.org/10.1002/chem.201700451.

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19

Wood, J. Luke, Marissa Vasquez Urias, and Frank Harris. "Establishing a Research Center: The Minority Male Community College Collaborative (M2C3)." New Directions for Institutional Research 2015, no. 168 (June 2016): 65–77. http://dx.doi.org/10.1002/ir.20161.

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20

Stone, Jana E., Philip N. Benfey, and Lingchong You. "Promoting Collaborative Interdisciplinary Research at the Duke Center for Systems Biology." ACS Synthetic Biology 1, no. 5 (May 18, 2012): 153–55. http://dx.doi.org/10.1021/sb300036z.

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Russell, Roberta S. "Collaborative Research In Service Science: Quality And Innovation." Journal of Service Science (JSS) 2, no. 2 (December 1, 2009): 1–8. http://dx.doi.org/10.19030/jss.v2i2.4281.

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The unprecedented shift in customer, corporate and societal demand for services and the management of corresponding resources has created a critical need for research, education, and outreach in service systems. Universities worldwide are addressing this need through the establishment of collaborative research centers, such as the Center for Services Science, Quality and Innovation (SSQI) at Virginia Tech. This paper discusses service science as a promising field of research and suggests opportunities for collaboration across disciplines, institutions and cultures.

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Li, Fei, Jin Chen, and Yu-Shan Su. "Managing the university-industry collaborative innovation in China." Journal of Organizational Change Management 31, no. 1 (February 12, 2018): 62–82. http://dx.doi.org/10.1108/jocm-04-2017-0148.

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Purpose Collaboration with universities is an important innovation strategy for enterprises. However, currently very little research has focused on how such university-industry collaborative innovation activities should be managed. The paper aims to discuss this issue. Design/methodology/approach This paper introduces the university-industry collaborative innovation practices of Zhejiang NHU Company in China. By using a case study as the method, this paper aims to illustrate the mechanism of university-industry collaborative innovation and how to manage the collaborative innovation activities efficiently. Findings Zhejiang NHU Company established a university-industry collaborative innovation link through three innovation platforms: the technology R&D center, the ZJU-NHU joint-research center, and the national engineer center. Zhejiang NHU Company manages its collaborative relationships with universities through this innovation network. Originality/value NHU Company managed the collaborative relationship efficiently with the institutions, representing an effective degree of university-industry collaborative innovation management.

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Zhang, Yue Ming, Bo Jin Yang, Zhe Wang, Hong Ming Mu, and Yu Yang. "The Research of the Tool Magazine Control System Based on PLC." Advanced Materials Research 912-914 (April 2014): 1017–21. http://dx.doi.org/10.4028/www.scientific.net/amr.912-914.1017.

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The tool magazine and automatic tool changer are important functional components, which actual performance affects the efficiency of machining center directly. BT50-32L produced by ZhongHuan (Group) is the research object in this paper, it introduces the application of the control system from aspects of the design of overall program, the control of tool magazine and automatic tool changer. The core of the tool magazine control system is PLC, which can select the nearest tool and achieve the control of tool position, the flip of tool holder and the tool changer of manipulator during the operation. The communication of PC HMI and PLC achieve the simulation and control of the operational status. This system is certified to meet the application requirements with the stable performance, simple structure, easy operation and the rapid and accurate action.

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Simonidis, Christian, Günther Stelzner, Wolfgang Seemann, and Fabian Bauer. "Modeling and synthesis of human motion within the collaborative research center 588." Procedia IUTAM 2 (2011): 275–89. http://dx.doi.org/10.1016/j.piutam.2011.04.025.

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BECHER, REGINE, PETER STEINHAUS, and RÜDIGER DILLMANN. "THE COLLABORATIVE RESEARCH CENTER 588: "HUMANOID ROBOTS — LEARNING AND COOPERATING MULTIMODAL ROBOTS"." International Journal of Humanoid Robotics 01, no. 03 (September 2004): 429–48. http://dx.doi.org/10.1142/s0219843604000204.

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This paper gives an overview of the current and forthcoming research projects of the Collaborative Research Center 588 "Humanoid Robots — Learning and Cooperating Multimodal Robots." The activities can be divided into several areas: development of mechatronic components and construction of a demonstrator system, perception of user and environment, modeling and simulation of robots, environment and user, and finally cooperation and learning. The research activities in each of these areas are described in detail. Finally, we give an insight into the application scenario of our robot system, i.e. the training setup and the experimental setup "household."

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Adebamowo, Sally Nneoma, Eileen Dareng, Ayo Famooto, Kolawole Michael Odutola, Rasheed Bakare, and Clement Adebayo Adebamowo. "Cohort profile: African Collaborative Center for Microbiome and Genomics Research (ACCME) study." Journal of Clinical Oncology 34, no. 15_suppl (May 20, 2016): 5524. http://dx.doi.org/10.1200/jco.2016.34.15_suppl.5524.

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Estes, Carroll, Richard B. Seymour, and Marie Christine Yue. "California Collaborative Center for Substance Abuse Policy Research: A History and Update." Journal of Psychoactive Drugs 33, no. 4 (December 2001): 339–42. http://dx.doi.org/10.1080/02791072.2001.10399918.

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Elliott, Amy, Emily White Hat, Jyoti Angal, Victoria Grey Owl, Susan Puumala, and DenYelle Baete Kenyon. "Fostering Social Determinants of Health Transdisciplinary Research: The Collaborative Research Center for American Indian Health." International Journal of Environmental Research and Public Health 13, no. 1 (December 22, 2015): 24. http://dx.doi.org/10.3390/ijerph13010024.

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Wandiga, Steve, Janet Agaya, Ouma S. Gurrion, Ochieng Albert Okumu, Grace Kiringa, Juliana Otieno, Geoffrey Mwai, Videlis Nduba, and Stephen Munga. "PO 8446 COLLABORATIVE TUBERCULOSIS RESEARCH AGENDA AT KEMRI CENTER FOR GLOBAL HEALTH RESEARCH, KISUMU, KENYA." BMJ Global Health 4, Suppl 3 (April 2019): A38.2—A38. http://dx.doi.org/10.1136/bmjgh-2019-edc.100.

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BackgroundDeveloping countries grapple with inadequate funding amidst high burden of diseases. Africa is home to 9 of the 22 countries with a high tuberculosis (TB) burden and to 29 of the 41 countries with a high TB-HIV burden. Kenya is among the high TB and high TB-HIV burden countries. The Western Kenya region has the highest burden of TB and HIV. North-South partnerships are pivotal in ameliorating funding gaps in clinical research.MethodsWhile optimising existing infrastructure and organising programme support (i.e sensitisation and awareness creation, leading to study participant recruitment), from 2005 to date we conducted with multiple North-South collaborators capacity strengthening, TB prevalence survey, observational studies, operational research, and vaccine and drug trials.ResultsTB prevalence survey showed 600 cases per 100,000 population, TB epidemiological studies among adolescents and infants yielded 680 and 900/100,000 population respectively while 2 TB vaccine trials among infants and adults were conducted in Siaya. Three TB drug trials and a TB patient observational cum bio-bank study were concluded in Kisumu. KEMRI TB laboratory was upgraded from BSL2 to BSL3, was ISO-accredited in 2013, renewed in 2015 and 2017 and supports TB programme health facilities with retreatment specimens, supervision and mentorship. Over 25 operational TB studies grouped into community and case detection (increasing case detection), diagnostic and molecular (new diagnostic methods) and epidemiology studies (testing and monitoring cohorts for epidemiological questions) were implemented. Five PhDs, 9 Master’s, 2 Postgraduate Diplomas, 6 Bachelor’s degrees and 10 Diplomas have been supported. Siaya clinical research center was built while in Kisumu an adolescent clinic was constructed. This work involved 18 northern and 26 southern partners. Over 35 publications have been published out of these collaborations.ConclusionNorth-South collaborations provided funding, expertise and resources to harness research capacity of KEMRI; hence the need to foster a global networking culture.

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Olive, Melissa L., Jennifer Shaw, and Marina Conner. "Collaborative Research Between a University Research Project, a University Child-Care Center, and a Family." NHSA Dialog 5, no. 2-3 (March 2002): 298–310. http://dx.doi.org/10.1080/15240754.2002.9680279.

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Shirakawa, Toshiro, Kazufumi Shimizu, Takako Utsumi, Masanori Kameoka, Hak Hotta, and Yoshitake Hayashi. "Indonesia-Kobe University Collaborative Research Center for Emerging and Reemerging Infectious Diseases (CRC-ERID) J-GRID (Japan Initiative for Global Research Network on Infectious Diseases)." Journal of Disaster Research 9, no. 5 (October 1, 2014): 828–35. http://dx.doi.org/10.20965/jdr.2014.p0828.

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The Center for Infectious Diseases (CID), Kobe University Graduate School of Medicine, has led an Asia-related medical research program for over 50 years. The Japan Initiative for Global Research Network on Infectious Diseases (J-GRID) established the Indonesia-Kobe University Collaborative Research Center for Emerging and Reemerging Infectious Diseases (CRC-FRID), which is staffed by Japanese researchers from the CID, Kobe University Graduate School of Medicine, and Indonesian researchers from the Institute of Tropical Disease (ITD) of Airlangga University, Surabaya, Indonesia. There they focus on five disease types – influenza, infectious hepatitis, dengue fever, HIV/AIDS, and infectious diarrheal diseases – in collaborative research. This paper summarizes research results for these 5 diseases as published in previous papers.

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Fadoli, Muhammad Irsyad, and Hardi Warsono. "Collaborative Innovation Model on 112 Call Center Service." Jurnal Administrasi Publik : Public Administration Journal 10, no. 1 (May 8, 2020): 63–73. http://dx.doi.org/10.31289/jap.v10i1.3221.

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This article aims to find out and explore how collaborative innovation is applied to the 112 call center service. The problem is focused on examining: First, what the condition of 112 call center service is . Second. how collaborative innovation is applied to e-government services. Third, the collaborative model of 112 call center service. To approach these problems, theoretical references from several experts on collaborative innovation and collaborative models were used. Data were collected through a library research as a writing framework and analyzed qualitatively. This study indicates that 112 call center service is a form of innovation in e-government applications. 112 call center service is an emergency service occurs in an area that must be handled as soon as possible. But this innovation do not always go well. It is since there are factors that hinder innovation. 112 call center service has not become a single call number and has not been integrated throughout Indonesia. Recommendation for overcoming it is by collaboration between institutions at both the central and regional levels. Collaboration is formed using the E-Government Integration (EGI) model, which is the relationship between the central institutions and the regional institutions, among agencies, and the relationship with service users, namely the community and the private sectors. This relationship is supported by variables of strategy, technology, policy and organization. It is expected that by applying the model 112 call center services can be integrated.

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Badowski, Melissa, Joseph E. Mazur, Simon W. Lam, Marta Miyares, Lucas Schulz, and Sarah Michienzi. "Engaging in Collaborative Research: Focus on the Pharmacy Practitioner." Hospital Pharmacy 52, no. 1 (January 2017): 33–43. http://dx.doi.org/10.1310/hpj5201-33.

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Research offers an opportunity for investigators to explore unanswered questions, highlight best practices, and engage in collaboration. Clinical research can engage health care professionals to identify treatments or procedures to enhance patient care, quality of life, and outcomes. Research may also include experiences in a unique practice site or teaching methodology of trainees, staff, or patients. The goal of research is to improve individual patient care via dissemination of knowledge through publications. This article aims to highlight the importance of pharmacist-led research in the academic or community medical center and the need for resident-based research and mentorship for the integration of collaborative research and achievement of organizational goals.

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Kazemi, Sajad. "Leader identification in a research collaborative network." Vestnik of Saint Petersburg University. Management 20, no. 1 (2021): 58–85. http://dx.doi.org/10.21638/11701/spbu08.2021.103.

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There is considerable empirical evidence on the advantages of interorganizational research collaborative networks across societies and research institutes such as research and development (R&D) centers and universities. Identifying a leader in this contexts is important both theoretically for doing leadership studies, and practically for effective governmental funding allocation and private investments. Inconsistent definitions and non-homogeneous attributes with unidimensional measurement approaches such as subjective measuring of power or considering a central company as the leader made the previous efforts inefficient for identifying leaders in an interorganizational setting. This research aims to identify a leading organization among a set of homogenous R&D centers in a research collaborative network context through implementing the main leader’s attributes in different dimensions. The article presents a multidimensional common weight model based on the data envelopment analysis (DEA) approach in a parallel system with several operational dimensions each of which consumes a set of inputs (budget, lecturers, and students) to produce a set of outputs (scientific meetings and conferences, national and international papers). Centrality and visibility are two main leaders’ attributes combined with efficiency influence the contributions and outcomes of each collaborative network partner. It is demonstrated how the proposed model performs its high-efficiency score in the most influential R&D center named the “leader” among 47 R&D centers in medical universities in Iran. The comparative analysis of managerial results showed that reputation has a greater impact on leader identification than centrality. The results based on mathematical calculations showed a robust discriminating power for efficiency measurement of the proposed model.

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Steiner, Karl V., and Diane S. Kukich. "The Academic Research Centre." Industry and Higher Education 9, no. 3 (June 1995): 135–39. http://dx.doi.org/10.1177/095042229500900302.

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The authors argue that the academic research centre can perform an invaluable function in coordinating the flow of information and knowledge between academic departments in a university and between the university and industry. To illustrate their argument, they offer a case analysis of the Center for Composite Materials at the University of Delaware and show that the Center not only opens up new sources of funding and collaborative research opportunities, but also enhances the skills of the students who collaborate in its programmes. They also describe new federal funding initiatives and point out that recent US government programmes are continuing to integrate research centres to solve real-world problems in close cooperation with industry.

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Sherman, Simon, Oleg Shats, Marsha A. Ketcham, Michelle A. Anderson, David C. Whitcomb, Henry T. Lynch, Paola Ghiorzo, et al. "PCCR: Pancreatic Cancer Collaborative Registry." Cancer Informatics 10 (January 2011): CIN.S6919. http://dx.doi.org/10.4137/cin.s6919.

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The Pancreatic Cancer Collaborative Registry (PCCR) is a multi-institutional web-based system aimed to collect a variety of data on pancreatic cancer patients and high-risk subjects in a standard and efficient way. The PCCR was initiated by a group of experts in medical oncology, gastroenterology, genetics, pathology, epidemiology, nutrition, and computer science with the goal of facilitating rapid and uniform collection of critical information and biological samples to be used in developing diagnostic, prevention and treatment strategies against pancreatic cancer. The PCCR is a multi-tier web application that utilizes Java/JSP technology and has Oracle 10 g database as a back-end. The PCCR uses a “confederation model” that encourages participation of any interested center, irrespective of its size or location. The PCCR utilizes a standardized approach to data collection and reporting, and uses extensive validation procedures to prevent entering erroneous data. The PCCR controlled vocabulary is harmonized with the NCI Thesaurus (NCIt) or Systematized Nomenclature of Medicine-Clinical Terms (SNOMED-CT). The PCCR questionnaire has accommodated standards accepted in cancer research and healthcare. Currently, seven cancer centers in the USA, as well as one center in Italy are participating in the PCCR. At present, the PCCR database contains data on more than 2,700 subjects (PC patients and individuals at high risk of getting this disease). The PCCR has been certified by the NCI Center for Biomedical Informatics and Information Technology as a cancer Biomedical Informatics Grid (caBIG®) Bronze Compatible product. The PCCR provides a foundation for collaborative PC research. It has all the necessary prerequisites for subsequent evolution of the developed infrastructure from simply gathering PC-related data into a biomedical computing platform vital for successful PC studies, care and treatment. Studies utilizing data collected in the PCCR may engender new approaches to disease prognosis, risk factor assessment, and therapeutic interventions.

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Wong, Timothy C., Gaby Captur, Uma Valeti, James Moon, and Erik B. Schelbert. "Feasibility of the REDCap platform for Single Center and Collaborative Multicenter CMR Research." Journal of Cardiovascular Magnetic Resonance 16, Suppl 1 (2014): P89. http://dx.doi.org/10.1186/1532-429x-16-s1-p89.

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Shinoda, Sumio, Daisuke Imamura, Tamaki Mizuno, and Shin-ichi Miyoshi. "Activity of Collaborative Research Center of Okayama University for Infectious Disease in India." Journal of Disaster Research 9, no. 5 (October 1, 2014): 774–83. http://dx.doi.org/10.20965/jdr.2014.p0774.

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The Collaborative Research Center for Infectious Disease of Okayama University in India (CRCOUI) is located at the NICED (National Institute of Cholera and Enteric Diseases) in Kolkata, India. The main CRCOUI research project involves measure against diarrheal diseases based on JICA project conducted at the NICED. Specifically, this involved four study themes: (1) Active surveillance of diarrheal patients, (2) Development of dysentery vaccine, (3) Viable but nonculturable (VBNC)Vibrio cholerae, (4) Pathogenic mechanism of various diarrhogenic microorganisms. Diarrheal diseases are a major health problem in developing countries, so our project confirmed the detection system of diarrhogenic microorganisms including bacteria, viruses and protozoa. Project have been applied the system at 2 hospitals in Kolkata. To spread system use to other countries, training courses were conducted for researchers and technicians from the Vietnam and Indonesia Research Center, then similar active surveillance was started in both countries.

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Ren, Duanyang, Wei Song, and Guofeng Zhang. "Research on the Benefits Allocation System of the Collaborative Innovation Center of China." American Journal of Industrial and Business Management 05, no. 06 (2015): 376–82. http://dx.doi.org/10.4236/ajibm.2015.56037.

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Kabelitz, Dieter. "The German Collaborative Research Center 415 “Specificity and Pathophysiology of Signal Transduction Pathways”." European Journal of Cell Biology 90, no. 6-7 (June 2011): 449. http://dx.doi.org/10.1016/j.ejcb.2010.11.003.

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Yamamoto, Toru, and Kiyokazu Tanaka. "Hiroshima University: KOBELCO Construction Machinery Dream-Driven Co-Creation Research Center." Journal of Robotics and Mechatronics 32, no. 3 (June 20, 2020): 640–42. http://dx.doi.org/10.20965/jrm.2020.p0640.

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On April 1, 2018, Hiroshima University instituted the “Joint Research with External Organizations (Private Sector, etc.).” The first project was the “KOBELCO Construction Machinery Dream-Driven Co-Creation Research Center (DDCC Research Center).” This research center has three collaborative research laboratories, and eight joint-research studies are in progress. With the aim of developing a hydraulic excavator that is human-friendly and human-nurturing, the research and development focuses on controls that (i) work as the operator expects and (ii) create value that facilitates growth of the operator. This article gives an overview of how the research center was established and what the research center studies and develops.

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Di, Jian, and Bi Dan Liu. "Research on Applying SDN Technology to Electric Power Data Center." Advanced Materials Research 960-961 (June 2014): 1597–601. http://dx.doi.org/10.4028/www.scientific.net/amr.960-961.1597.

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In order to meet the developing demand of the new generation of data center, and to better satisfy the need of the smart grid, we introduce the OpenFlow-based SDN technology to electric power data center. Because there are many switches in electric power data center, it requires the use of a distributed multi-controller to manage, however there is currently no mechanism for these controllers to cooperate with the each other. Based on these questions this paper presents a collaborative model for multi-domains OpenFlow networks, which allows different network domains to collaborate with each other in an efficient way.

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Zheng, Xin, Yan Zhang, Xia Xin Tao, Fu Tong Wang, and Li Li Xie. "Research on Model Calculating Depth of Environmental Vibration Caused by the Ground Rail Traffic Load." Advanced Materials Research 912-914 (April 2014): 1698–701. http://dx.doi.org/10.4028/www.scientific.net/amr.912-914.1698.

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In order to reduce the computation amount and to ensure to compute environmental vibrations caused by ground rail traffic load comprehensively and accurately, calculating depth of the model for the ground was researched. The ground is simplified to a single layer elastic half-space model, and the dynamic Green's function of vertical displacement on the surface of the model was derived by using transfer matrix within frequency wave-number domain. vibration displacement amplitude in the range of 10 to 60 m away from the surface of the model to the vibration center were compared with different thickness of model and the elastic half-space model caused by the ground rail traffic load. It showed that the calculation results are quite different with different cover thickness, but with the increase of the cover thickness of layer, the results of single layer elastic half-space model approached the elastic half-space model. When the cover lager thickness reached to 25m, the difference of the magnitude was less than 5%.

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Koselak, Jeremy. "The revitalized tutoring center." Phi Delta Kappan 98, no. 5 (January 23, 2017): 61–66. http://dx.doi.org/10.1177/0031721717690368.

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One high-leverage strategy rooted in a strong research base — the revitalized tutoring center — provides a wealth of opportunity to students who may be otherwise underserved. This embedded, open-all-day tutoring center supports collaborative teacher teams by using peer tutors and community volunteers. By centralizing resources and providing supports during the school day, free to all students and targeted to some, the center helps schools close the opportunity gap without overburdening teachers, schedules, or budgets. One high school in Colorado that implemented the approach experienced a dramatic improvement in on-time graduation rates.

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Ross, F. M., K. M. Krishnan, N. Thangaraj, R. F. C. Farrow, R. F. Marks, A. Cebollada, S. S. P. Parkin, et al. "Applications of Electron Microscopy in Collaborative Industrial Research." MRS Bulletin 21, no. 5 (May 1996): 17–23. http://dx.doi.org/10.1557/s0883769400035466.

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The transmission electron microscope (TEM) is one of the most useful tools available to the materials scientist. Yet both the complexity and expense of the equipment, and the huge investment in time necessary to become proficient in specimen preparation and image acquisition and analysis, mean that it is difficult for most industrial institutions to maintain a state-of-the-art TEM facility. How can industry overcome this problem? One solution is to set up a collaboration with a university, an industrial partner, or a government research laboratory. Such collaborations can be extremely valuable to the company, which gains access to microscopes, specimen-preparation equipment and the expertise of professional microscopists, and to the research laboratory, which benefits from the industrial perspective and the private sector's proficiency in materials preparation and processing.Such collaborations exist, and they can produce excellent results. In this article, we present three case studies in which successful collaboration has occurred between industry and one of the Department of Energy's scientific user facilities, the National Center for Electron Microscopy (NCEM-see sidebar). Our aim is not only to describe results that we hope will be of scientific interest but also to encourage industrial researchers to consider collaborations with institutes such as NCEM.

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Sanstad, Katherine Haynes, Ron Stall, Ellen Goldstein, Wendy Everett, and Ruth Brousseau. "Collaborative Community Research Consortium: A Model for HIV Prevention." Health Education & Behavior 26, no. 2 (April 1999): 171–84. http://dx.doi.org/10.1177/109019819902600202.

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In 1991, the Center for AIDS Prevention Studies (CAPS) at the University of California, San Francisco, set out to develop a model of community collaborative research that would bring the skills of science to the service of HIV prevention and the knowledge of service providers into the domain of research. Essential elements of the model were training for community-based organizations (CBOs) in research protocol writing, partnership between CBOs and CAPS researchers, program research funding, support to implement studies and analyze results, and a program manager to oversee the effort and foster the relationships between CBOs and researchers. In this article, the authors describe the CAPS model of consortium-based community collaborative research. They also introduce a set of papers, written by researchers and service providers, that describes collaborative research projects conducted by research institutions and CBOs and illustrates how collaboration can change both HIV prevention research and service.

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Holden, Kisha B., Jammie Hopkins, Allyson Belton, Klahe Butty, Derrick C. Tabor, and David Satcher. "Leveraging Science to Advance Health Equity: A Regional Health Policy Research Center’s Approach." Ethnicity & Disease 29, Supp2 (June 13, 2019): 323–28. http://dx.doi.org/10.18865/ed.29.s2.323.

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Advancing health equity and reducing disparities through evidence-based policy research requires the expertise, insights, and active participation of various policy stakeholders – particularly those representing vulnerable populations who may be disproportionately affected by such policies. Unfortunately, there are few sustainable settings for these diverse stakeholders to convene, share their knowledge, develop and execute research in a collaborative fashion, and effectively translate evidence-based findings. The development of a health policy-focused center supports the collaborative structure needed to present a unified, multi-disciplinary approach toward informing health policy. The Transdisciplinary Collaborative Center for Health Disparities Research (TCC) at Morehouse School of Medicine (U54MD008173) was funded in 2012 by the National Institute on Minority Health and Health Disparities (NIMHD) as an innovative approach for conducting health policy research and disseminating evidence-based science to diverse stakeholders. This article provides an overview of the research projects, pilot project programs, infrastructure cores, communications, and strategic dissemination activities supported by the TCC. Ethn Dis. 2019;29(Suppl 2):323-328; doi:10.18865/ed.29.S2.323

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Li, Guang. "Empirical Research on Building Shenzhen into a Regional Logistics Economy Center." Advanced Materials Research 950 (June 2014): 365–69. http://dx.doi.org/10.4028/www.scientific.net/amr.950.365.

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. The paper takes regional economy and regional logistics of Shenzhen as research objects and carries out empirical quantitative analysis on their relationship by applying unary linear regression, logistics demand coefficient and grey correlation grade. The analysis results show that there is synergistic effect between regional logistics and regional economy. Shenzhen, with advantageous conditions for developing regional logistics economy, should adopt international regional logistics economy center as its development orientation, so as to create favorable conditions for the further growth of regional logistics economy and realize collaborative development with the regional economy.

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Gong, Jinlong, Jun Chen, Naiqin Zhao, and Yu Liu. "Special Issue: Materials Research at Tianjin Collaborative Innovation Center of Chemical Science and Engineering." Advanced Materials 27, no. 36 (September 2015): 5262–63. http://dx.doi.org/10.1002/adma.201503738.

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Miller, P. L., P. M. Nadkarni, K. K. Kidd, K. Cheung, D. C. Ward, A. Banks, P. Bray-Ward, et al. "Internet-based Support for Bioscience Research: A Collaborative Genome center for Human Chromosome 12." Journal of the American Medical Informatics Association 2, no. 6 (November 1, 1995): 351–64. http://dx.doi.org/10.1136/jamia.1995.96157828.

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