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Journal articles on the topic 'Knowledge generation'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Popov, Evgeny, Maxim Vlasov, and Hanusch Horst. "Resource Potential of Knowledge Generation." MONTENEGRIN JOURNAL OF ECONOMICS 12, no. 3 (2016): 101–14. http://dx.doi.org/10.14254/1800-5845.2016/12-3/7.

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2

van der Walt, Mariana. "Knowledge management and scientific knowledge generation." Knowledge Management Research & Practice 4, no. 4 (2006): 319–30. http://dx.doi.org/10.1057/palgrave.kmrp.8500115.

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3

Wang, Jian, Junhao Liu, Wei Bi, et al. "Improving Knowledge-Aware Dialogue Generation via Knowledge Base Question Answering." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 05 (2020): 9169–76. http://dx.doi.org/10.1609/aaai.v34i05.6453.

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Neural network models usually suffer from the challenge of incorporating commonsense knowledge into the open-domain dialogue systems. In this paper, we propose a novel knowledge-aware dialogue generation model (called TransDG), which transfers question representation and knowledge matching abilities from knowledge base question answering (KBQA) task to facilitate the utterance understanding and factual knowledge selection for dialogue generation. In addition, we propose a response guiding attention and a multi-step decoding strategy to steer our model to focus on relevant features for response

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Panikarova, S. V., and M. V. Vlasov. "Knowledge Generation Risk Management." Economic Analysis: Theory and Practice 16, no. 9 (2017): 1696–707. http://dx.doi.org/10.24891/ea.16.9.1696.

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Davies, John, Alistair Duke, Nick Kings, et al. "Next generation knowledge access." Journal of Knowledge Management 9, no. 5 (2005): 64–84. http://dx.doi.org/10.1108/13673270510622465.

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Dettmar, Harvey, Xiaohui Liu, Roger Johnson, and Alan Payne. "Knowledge-based data generation." Knowledge-Based Systems 11, no. 3-4 (1998): 167–77. http://dx.doi.org/10.1016/s0950-7051(98)00031-8.

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Schofield, M. J. "Knowledge-based test generation." IEE Proceedings G (Electronic Circuits and Systems) 132, no. 3 (1985): 108. http://dx.doi.org/10.1049/ip-g-1.1985.0023.

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Davies, J., R. Studer, Y. Sure, and P. W. Warren. "Next generation knowledge management." BT Technology Journal 23, no. 3 (2005): 175–90. http://dx.doi.org/10.1007/s10550-005-0040-3.

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9

B, Yeslando J. Gonzalez. "Investigate from the knowledge of the peoples." Sociology International Journal 2, no. 6 (2018): 726–28. http://dx.doi.org/10.15406/sij.2018.02.00128.

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The following paper addresses from a critical point of view the way on how Venezuelan universities approach popular knowledge and how it would be transmitted to future generations. For the author institutions cannot become mere instruments generating ideologies or become Universities for the Generation of Communes and less in particularities ... "believe that you can replace a research university by a university in the commune ... "1 As our current policy in Venezuela intends, it is to try to apply policies that pretend to relegate us to the past.

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Vingilis, Evelyn, Kathleen Hartford, Ted Schrecker, Beth Mitchell, Barbara Lent, and Joan Bishop. "Integrating Knowledge Generation with Knowledge Diffusion and Utilization." Canadian Journal of Public Health 94, no. 6 (2003): 468–71. http://dx.doi.org/10.1007/bf03405087.

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Parapat, Ruth Gracia Dau Vanes, Vitria Melani, Yulia Wahyuni, Rachmanida Nuzrina, and Laras Sitoayu. "PERBEDAAN PENGETAHUAN GIZI, SIKAP DAN PERILAKU TENTANG VISUAL GIZI SEIMBANG ANTARA DUA GENERASI DI GEREJA GSKI REHOBOT KEBON JERUK JAKARTA." Journal of Nutrition College 10, no. 2 (2021): 120–29. http://dx.doi.org/10.14710/jnc.v10i2.29140.

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Background: Generation Y (Millennial) and generation Z (IGeneration) are proven to be the two generations that dominate the use of information communication technology today. Living in a rapidly developing technology era and abundant information should make them have nutritional knowledge, attitudes and behavior towards a good visual balanced nutrition. However, Riskesdas 2018 shows an increase in the prevalence of obesity in adults by 21.8%. This high prevalence is said to be an indicator of low knowledge about balanced nutrition even though the two generations live in an era of abundant info

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WOODFIELD, PAUL J., and KENNETH HUSTED. "HOW DOES KNOWLEDGE SHARING ACROSS GENERATIONS IMPACT INNOVATION?" International Journal of Innovation Management 23, no. 08 (2019): 1940004. http://dx.doi.org/10.1142/s1363919619400048.

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We explore how knowledge sharing impacts innovation across generations of a family firm. We argue that each generation contributes to the knowledge pool differently, and there can be different levels of hostility towards sharing knowledge that can impact a family firm’s ability to innovate. We present two models distinguishing the source of knowledge from the receiver of knowledge for each generation. When the senior generation is the source of knowledge, business tends to be as per usual. Conversely, when the source of knowledge is the next generation, this can lead to new approaches to doing

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Wiesel, Hendrik. "How to transfer knowledge to Generation Z." Safety of Nuclear Waste Disposal 2 (September 6, 2023): 237–38. http://dx.doi.org/10.5194/sand-2-237-2023.

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Abstract. With this paper, we aim to raise awareness of the challenges of generational transition in the German nuclear industry. We present potential solutions for transferring and preserving knowledge in the future. For approximately 60 years, Germany has operated nuclear facilities successfully and safely. Germany phased out the peaceful use of nuclear energy in 2023 by shutting down the last three nuclear power plants. At the same time, a generational shift is imminent within the next 5–10 years, as a significant number of knowledgeable experts will be retiring. Simultaneously, the first “

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14

van Deventer, Marko. "African Generation Y students’ personal finance behavior and knowledge." Investment Management and Financial Innovations 17, no. 4 (2020): 136–44. http://dx.doi.org/10.21511/imfi.17(4).2020.13.

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Personal financial management is important, given uncertainties in both financial and economic environment. However, published research on African Generation Y students’ personal finance behavior and knowledge is limited. This study aimed to evaluate African Generation Y students’ personal finance behavior in terms of their attitudes towards financial planning and whether this cohort believes that they have the skills to manage their finances successfully. In addition, this study sought to evaluate African Generation Y students’ knowledge regarding personal finance. A convenience sample of 500

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15

Burger-Helmchen, Thierry. "Innovation Studies and Knowledge Generation." Journal of Innovation Economics & Management 30, no. 3 (2019): 245. http://dx.doi.org/10.3917/jie.030.0245.

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Bayer, Alan E., George M. Beal, Wimal Dissanayake, and Sumiye Konoshima. "Knowledge Generation, Exchange, and Utilization." Contemporary Sociology 16, no. 5 (1987): 713. http://dx.doi.org/10.2307/2069814.

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Freire, José Roberto de Souza, Isabel Cristina dos Santos, and Leandro Sauer. "Knowledge generation in agricultura research." Ciência Rural 46, no. 7 (2016): 1301–7. http://dx.doi.org/10.1590/0103-8478cr20150745.

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ABSTRACT: Over the past decades, Brazilian agriculture has played an important role in the international market, in response to growing global demand for products, services and food security. This achievement was in a large extent powered by the ability to generate knowledge and the actions promoted by science and technology institutes. This article aims to describe the model of knowledge generation in agriculture, assuming that the knowledge cycle is responsible for the capture, identification, selection and share of informal and formal information, through practices in the workplace and outs

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Merrem, F. H. "Automatic generation of knowledge structures." ACM SIGART Bulletin, no. 108 (April 1989): 160–62. http://dx.doi.org/10.1145/63266.63295.

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19

Cornelissen, Joep P. "Metaphorical Reasoning and Knowledge Generation." Journal of Political Marketing 1, no. 1 (2002): 193–208. http://dx.doi.org/10.1300/j199v01n01_09.

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PIETRIKOVÁ, Emília, and Sergej CHODAREV. "Towards Programmer Knowledge Profile Generation." Acta Electrotechnica et Informatica 16, no. 1 (2016): 15–19. http://dx.doi.org/10.15546/aeei-2016-0003.

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Jacobs, Paul S. "Knowledge-intensive natural language generation." Artificial Intelligence 33, no. 3 (1987): 325–78. http://dx.doi.org/10.1016/0004-3702(87)90042-7.

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22

Mehta, S., M. Nugent, K. Prasad, et al. "Workshop (Knowledge Generation) ID 2001810." Topics in Spinal Cord Injury Rehabilitation 29, suppl (2023): 248. http://dx.doi.org/10.46292/sci23-2001810s.

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Background Guided internet-delivered CBT (ICBT) offers an alternative approach for mental health service delivery in the community for those with spinal cord injury (SCI). However, there is a lack of evidence to support its use through large, controlled trials. Study Objectives The primary aim of the current study is to explore the efficacy of ICBT in reducing symptoms of depression and anxiety among persons with SCI compared to an online SCI Rehabilitation Education program. Learning Objectives Upon completing this workshop, attendees will: 1) understand the state of mental health among those

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Chernesky, John. "Workshop (Knowledge Generation) ID 1985178." Topics in Spinal Cord Injury Rehabilitation 29, suppl (2023): 240. http://dx.doi.org/10.46292/sci23-1985178s.

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Background As more research funding agencies require grant applications to include an array of stakeholder expertise, a clear and well-thought-out Engagement Plan is necessary to ensure grant reviewers understand how projects will engage relevant stakeholders. Objectives Provide a comprehensive framework for drafting Engagement Plans for grant applications that will strengthen research proposals, help to mitigate tokenism and lead to more meaningful engagement in SCI research. Overview This presentation will describe in detail the key components you should include in your grant Engagement Plan

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Jacquemin, Géraldine, Catherine Dansereau, Philippe Ménard, et al. "Poster (Knowledge Generation) ID 2002621." Topics in Spinal Cord Injury Rehabilitation 29, suppl (2023): 198. http://dx.doi.org/10.46292/sci23-2002621s.

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Background Nerve transfer surgery for patients with spinal cord injury (SCI) is an emergent practice for upper extremity reconstruction currently being implemented in a few clinical settings around the world. In 2019, we implemented an interdisciplinary clinic for upper extremity care in tetraplegic patients. Since the beginning of this collaboration, thirteen patients underwent nerve transfer surgery and followed a specific two-year rehabilitation protocol. Presentation objectives: Methods Thirteen patients underwent a surgical reconstruction of their upper extremity. They followed a rehabili

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Furlan, Julio C., Eldon Loh, and Mark I. Boulos. "Poster (Knowledge Generation) ID 1969160." Topics in Spinal Cord Injury Rehabilitation 29, suppl (2023): 174. http://dx.doi.org/10.46292/sci23-1969160s.

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Background This ongoing cross-sectional study aims to examine the potential association between moderate-to-severe sleep apnea and severe cardiovascular dysfunction after spinal cord injury (SCI). Methods This cross-sectional study included participants who were newly diagnosed with sleep apnea using a home-based/hospital unattended sleep screening test that quantifies the apnea-hypopnea index (AHI). Episodes of AD were defined as a sudden increase in systolic blood pressure (BP) of at least 20 mmHg. We exclude episodes of AD during sleep that were caused by triggers other than apnea or hypopn

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D’Amico, Jessica M., Camilo Castillo, David Rouffet, Monica Gorassini, and Lalith Satkunam. "Poster (Knowledge Generation) ID 1985240." Topics in Spinal Cord Injury Rehabilitation 29, suppl (2023): 190. http://dx.doi.org/10.46292/sci23-1985240s.

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Background Following a spinal cord injury, there is a significant loss of monoamines below the lesion. In the rat model, exogenous administration of the serotonin precursor, 5-hydroxytryptophan (5HTP), increases neural excitability through augmentation of spinal serotonin levels. To determine whether this compensatory mechanism can be harnessed to restore serotonergic modulation in humans after SCI, participants visited the lab on four occasions where they received i) placebo, ii) carbidopa, iii) 50mg 5HTP+carbidopa, or iv) 100mg 5HTP+carbidopa in a randomized, crossover design. Cutaneomuscula

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Furlan, Julio C., Sander L. Hitzig, and Mark I. Boulos. "Poster (Knowledge Generation) ID 1969163." Topics in Spinal Cord Injury Rehabilitation 29, suppl (2023): 175. http://dx.doi.org/10.46292/sci23-1969163s.

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Background This ongoing study aims to examine the potential cognitive and psycho-social benefits of continuous positive airway pressure (CPAP) therapy in people with chronic spinal cord injury (SCI) and moderate-to-severe sleep apnea (SA). Methods This study included adults with chronic SCI who underwent a 4-month trial of CPAP therapy for management of recently diagnosed moderate-to-severe SA. Outcome measures included the Epworth Sleepiness Scale (ESS), Medical Outcomes Study Sleep Scale (MOS-SS), Fatigue Severity Scale (FSS), Depression, Anxiety & Stress Scale-21 (DASS-21), Montreal Cog

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Ditor, David S., Alexandria Roa Agudelo, Eldon Loh, Sussan Askari, and Chetan Phadke. "Poster (Knowledge Generation) ID 1987820." Topics in Spinal Cord Injury Rehabilitation 29, suppl (2023): 194. http://dx.doi.org/10.46292/sci23-1987820s.

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Background Anti-inflammatory diets have shown effective in reducing pro-inflammatory cytokines, and neuropathic pain and depression in individuals with spinal cord injury or disease (SCI/D). However, work to date has focused on community-dwelling individuals with SCI/D, and the diet’s efficacy in an inpatient population, and the feasibility of offering it in a hospital, are unknown. The inpatient setting may be ideal for introducing an anti-inflammatory diet, as immune-related health complications peak acutely after SCI, and forming new dietary habits may be easier in an inpatient setting. Thu

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Seliman, Merna, Julianne Hong, Stephanie Marrocco, et al. "Poster (Knowledge Generation) ID 1985172." Topics in Spinal Cord Injury Rehabilitation 29, suppl (2023): 188. http://dx.doi.org/10.46292/sci23-1985172s.

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Background Rehabilitation approaches after Spinal Cord Injury (SCI) differ across rehabilitation centres and between therapists. Differences may be influenced by factors such as therapeutic approaches, equipment availability, training provided for therapists, or demographics of admitted patients. A measure of physical function that is widely used within Canadian rehabilitation centres is the Standing and Walking Assessment Tool (SWAT). It is not clear what factors or therapeutic approaches lead to optimal standing and walking outcomes in the SCI population. Objectives To explore the perspectiv

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Richard-Denis, A., H. Hong, A. Dionne, M. Guidea, and JM Mac-Thiong. "Poster (Knowledge Generation) ID 2001062." Topics in Spinal Cord Injury Rehabilitation 29, suppl (2023): 196. http://dx.doi.org/10.46292/sci23-2001062s.

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Background/objectives Research participation for individuals with spinal cord injury (SCI) is important to develop and receive promising interventions. It has been suggested that consenting to participate may also be associated with improved long-term outcomes. The objectives of this study are twofold and consisted of 1) verifying whether consenting to participate in a national SCI registry is associated with improved outcomes, and 2) determining predictors of enrolling in the registry. Methods/overview This population-based retrospective cohort study was performed on 3854 individuals with acu

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Mohammadi, Somayyeh, Victoria Bogle, Heather Cathcart, Sarah Park, and William C. Miller. "Poster (Knowledge Generation) ID 1969461." Topics in Spinal Cord Injury Rehabilitation 29, suppl (2023): 177. http://dx.doi.org/10.46292/sci23-1969461s.

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Background Individuals with SCI often receive care from their family members. Caregiving responsibilities lead to caregiver burden. Receiving social support may mitigate the negative impacts of caregiving. Caregivers can obtain support from people they meet in-person, such as family members and people with whom they interact through social platforms. Objectives Our objective was to investigate the moderating effect of in-person and online social supports on the association between relationship quality, caregiver competence, caregiver distress and caregiver burden. Methods/Overview 115 caregive

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Fallah, Nader, Heather A. Hong, Suzanne Humphreys, Jessica Parsons, Kristen Walden, and Vanessa K. Noonan. "Workshop (Knowledge Generation) ID 2001657." Topics in Spinal Cord Injury Rehabilitation 29, suppl (2023): 247. http://dx.doi.org/10.46292/sci23-2001657s.

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Background Multi-morbidity is common in persons with spinal cord injury (SCI). Network Analysis is a tool used to visualize and estimate complex relationships among variables. Three network models: Gaussian Graphical Model, Ising model, and Mixed Graphical Model were applied to the 2011-2012 Canadian SCI Community Survey dataset, which included individuals with traumatic and non-traumatic SCI. Data utilized included demographic and injury data as we well as 30 secondary health conditions (comorbidities and secondary complication) that are included in the Multi-Morbidity Index (MMI-30). Five he

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Craven, B. Catharine, Lindsie Blencowe, Lora Giangregorio, et al. "Poster (Knowledge Generation) ID 1985362." Topics in Spinal Cord Injury Rehabilitation 29, suppl (2023): 191. http://dx.doi.org/10.46292/sci23-1985362s.

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Objective To develop a lower extremity (LE) fragility fracture risk score estimation method among adults with chronic spinal cord injury (SCI). Methods Adults (≥18) with chronic traumatic SCI (n=90, C2-T12, AIS:A-D) participated in a 2-year prospective cohort study. We used a literature search and practice expertise to identify LE fracture predictors. Reference categories (i.e., risk score = 0) were: no prior fracture, 0-9 years post-injury, AIS-CD, no parental history of osteoporosis, and no opioid use. Using logistic regression coefficients, we calculated how far each category is from the ba

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Cairó, Osvaldo, and Silvia Guardati. "The KAMET II methodology: Knowledge acquisition, knowledge modeling and knowledge generation." Expert Systems with Applications 39, no. 9 (2012): 8108–14. http://dx.doi.org/10.1016/j.eswa.2012.01.155.

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35

RAMESH, Dr G. "Question Generation Using Artificial Intelligence and Knowledge Augmented Generation." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem45572.

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Abstract - This project introduces an innovative, AI-driven platform tailored to streamline and enhance the process of question paper generation for educators at various academic levels. Utilizing cutting-edge technologies such as Natural Language Processing (NLP), Knowledge-Augmented Generation (KAG), and Large Language Models (LLMs), the system is capable of understanding and extracting key concepts from a variety of educational resources. These include user-uploaded materials such as textbooks, existing question banks, lecture notes, and previous year exam papers. Educators are provided wit

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Antonelli, Cristiano, and Alessandra Colombelli. "External and Internal Knowledge in the Knowledge Generation Function." Industry and Innovation 22, no. 4 (2015): 273–98. http://dx.doi.org/10.1080/13662716.2015.1049864.

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Devani, Pushti, Rahil Gandhi, and Jignesh Vidani. "Differences in Opinion on Healthy and Junk Food Between Generation Y and Generation Z." International Journal of Natural and Health Sciences 2, no. 1 (2024): 31–44. http://dx.doi.org/10.59890/ijnhs.v2i1.1179.

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Consumption of both healthy and junk food is becoming a major public health concern, especially among younger generations. In Ahmedabad, India, this study looks at the perspectives of two generations on the choice between junk food and healthy food: Generation Z (born 1997–2012) and Generation Y (born 1981–1996).A survey regarding these food categories was administered to [number of respondents] individuals of both generations to assess their attitudes, opinions and consumption patterns. The aim of the data analysis, which used [the technologies described], was to find significant differences

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Xiang, Yong, Shaohua Zhang, Yuzhu Shen, and Meilin Shi. "Pattern-Oriented Workflow Generation and Optimization." JUCS - Journal of Universal Computer Science 15, no. (9) (2009): 1924–44. https://doi.org/10.3217/jucs-015-09-1924.

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Automatic workflow generation is becoming an active research area for dealing with the dynamics of grid infrastructure, because it has a pervasive impact on system usability, flexibility and robustness. Artificial intelligence technology and explicit knowledge have been exploited in some research for workflow construction or composition. With the increasing use of knowledge, its quality has growing impact on system performance. In this report, we present the process pattern as a vehicle for knowledge representation to capture process expertise at the business level. A pattern-based planning ap

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Devani, Pushti, Rahil Gandhi, and Jignesh Vidani. "Differences in Opinion on Healthy and Junk Food Between Generation Y and Generation Z." Differences in Opinion on Healthy and Junk Food Between Generation Y and Generation Z 2, Vol. 2 No. 1 (2024): January 2024 (2024): 14. https://doi.org/10.59890/ijnhs.v2i1.1179.

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Consumption of both healthy and junk food is becoming a major public health concern, especially among younger generations.  In Ahmedabad, India, this study looks at the perspectives of two generations on the choice between junk food and healthy food: Generation Z (born 1997–2012) and Generation Y (born 1981–1996).A survey regarding these food categories was administered to [number of respondents] individuals of both generations to assess their attitudes, opinions and consumption patterns. The aim of the data analysis, which used [the technologies described], was to find signif

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Li, Zhenping, Zhen Cao, Pengfei Li, Yong Zhong, and Shaobo Li. "Discriminator-Enhanced Knowledge-Distillation Networks." Applied Sciences 13, no. 14 (2023): 8041. http://dx.doi.org/10.3390/app13148041.

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Query auto-completion (QAC) serves as a critical functionality in contemporary textual search systems by generating real-time query completion suggestions based on a user’s input prefix. Despite the prevalent use of language models (LMs) in QAC candidate generation, LM-based approaches frequently suffer from overcorrection issues during pair-wise loss training and efficiency deficiencies. To address these challenges, this paper presents a novel framework—discriminator-enhanced knowledge distillation (Dis-KD)—for the QAC task. This framework combines three core components: a large-scale pre-tra

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Saputra, Teddy. "THE FIRST GENERATION'S TACIT KNOWLEDGE TRANSFER." Jurnal Entrepreneur dan Entrepreneurship 7, no. 2 (2018): 95–104. http://dx.doi.org/10.37715/jee.v7i2.1109.

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This study aims to see and learn when, how and what are the transfer of tacit knowledge between the senior generation and the next generation of first generation family companies in Surabaya. This is qualitative research. The study found that the transfer of tacit knowledge was planned and initiated by the senior generation. Transfers are carried out by observation, experiencing and reflection methods where unique senior generation knowledge such as trust in certain value values is transferred to the next generation which is then studied by the next generation to become a separate value.

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Xu, Feifei, Xinpeng Wang, and Shanlin Zhou. "Story Generation Using Knowledge Graph under Psychological States." Wireless Communications and Mobile Computing 2021 (April 27, 2021): 1–12. http://dx.doi.org/10.1155/2021/5530618.

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Story generation, aiming to generate a story that people could understand easily, captures increasing researchers’ attention in recent years. However, a good story usually requires interesting and emotional plots. Previous works only consider a specific or binary emotion like positive or negative. In our work, we propose a Knowledge-Aware Generation framework under Controllable CondItions (K-GuCCI). The model assigns a change line of psychological states to story characters, which makes the story develop following the setting. Besides, we incorporate the knowledge graph into the model to facil

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Li, Li, Haolin Yang, Yueming Jiao, and Kuo-Yi Lin. "Feature Generation Based on Knowledge Graph." IFAC-PapersOnLine 53, no. 5 (2020): 774–79. http://dx.doi.org/10.1016/j.ifacol.2021.04.172.

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Lloyd, Tom, Michele L. Shaffer, Christy Stetter, et al. "Health knowledge among the millennial generation." Journal of Public Health Research 2, no. 1 (2013): 8. http://dx.doi.org/10.4081/jphr.2013.e8.

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The Millennial Generation, also known as Generation Y, is the demographic cohort following Generation X, and is generally regarded to be composed of those individuals born between 1980 and 2000. They are the first to grow up in an environment where health-related information is widely available by internet, TV and other electronic media, yet we know very little about the scope of their health knowledge. This study was undertaken to quantify two domains of clinically relevant health knowledge: factual content and ability to solve health related questions (application) in nine clinically related

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Kryukov, V. A., D. V. Milyaev, D. I. Dushenin, A. D. Savel’eva, and M. Yu Skuzovatov. "Knowledge Generation in Raw Material Industries." Studies on Russian Economic Development 33, no. 3 (2022): 257–66. http://dx.doi.org/10.1134/s1075700722030078.

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Li, Qintong, Piji Li, Zhaochun Ren, Pengjie Ren, and Zhumin Chen. "Knowledge Bridging for Empathetic Dialogue Generation." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 10 (2022): 10993–1001. http://dx.doi.org/10.1609/aaai.v36i10.21347.

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Lack of external knowledge makes empathetic dialogue systems difficult to perceive implicit emotions and learn emotional interactions from limited dialogue history. To address the above problems, we propose to leverage external knowledge, including commonsense knowledge and emotional lexical knowledge, to explicitly understand and express emotions in empathetic dialogue generation. We first enrich the dialogue history by jointly interacting with external knowledge and construct an emotional context graph. Then we learn emotional context representations from the knowledge-enriched emotional con

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Sacha, Dominik, Andreas Stoffel, Florian Stoffel, Bum Chul Kwon, Geoffrey Ellis, and Daniel A. Keim. "Knowledge Generation Model for Visual Analytics." IEEE Transactions on Visualization and Computer Graphics 20, no. 12 (2014): 1604–13. http://dx.doi.org/10.1109/tvcg.2014.2346481.

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48

Les, Z., and M. Les. "Shape understanding: knowledge generation and learning." IEEE Transactions on Knowledge and Data Engineering 16, no. 3 (2004): 346–56. http://dx.doi.org/10.1109/tkde.2003.1262188.

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Spraggon, Martin, and Virginia Bodolica. "Collective tacit knowledge generation through play." Management Decision 55, no. 1 (2017): 119–35. http://dx.doi.org/10.1108/md-05-2015-0173.

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Purpose The purpose of this paper is to contribute to the literature by examining the generation of collective tacit knowledge (CTK) in organizations through social ludic activities (SLAs) as a specific form of playful micro-practice carried out by employees. Design/methodology/approach This paper builds upon socially distributed cognition (SDC) and transactive memory systems (TMS) to analyze SLAs’ contribution to CTK creation in the workplace. These theories provide conceptual underpinnings for comprehending how workers self-organize shared activities to store, retrieve and use each other’s t

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Maunder, Colin, and Ben Bennetts. "HITEST—using knowledge in test generation." Computer-Aided Engineering Journal 2, no. 3 (1985): 75. http://dx.doi.org/10.1049/cae.1985.0016.

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