Academic literature on the topic 'IPSP Database'

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Journal articles on the topic "IPSP Database"

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Neuhold, Erich, and Volker Turau. "Database research at IPSI." ACM SIGMOD Record 21, no. 1 (1992): 133–38. http://dx.doi.org/10.1145/130868.130886.

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Earl, A. N., and R. P. Whittington. "Capturing the semantics of an IPSE database." Data Processing 27, no. 9 (1985): 33–43. http://dx.doi.org/10.1016/0011-684x(85)90170-4.

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Kalaki, Niloufar Sadat, Mohammad Hossein Razizadeh, Fahimeh Safarnezhad Tameshkel, et al. "The breast cancer biomarkers associated with the development of the disease; an in-silico-based study." Immunopathologia Persa 11 (September 5, 2024): e41722. http://dx.doi.org/10.34172/ipp.2025.41722.

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Introduction: Breast cancer (BC) is among the top causes of mortality among women worldwide. Identifying genes by differential expression associated with the development of the disease helps us to better understanding the molecular mechanisms of BC. Objectives: Our study used in-silico analysis to identify hub genes could trigger the development of BC. Materials and Methods: We identified GSE38959 and GSE45827 for differentially expressed genes (DEGs) in the Gene Expression Omnibus (GEO) database, with an adjusted P<0.05. In both sets, logFC ≥ 2 and logFC ≤ -2 were observed in the DEGs that
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Vo, Quan Duy, Yukihiro Saito, Toshihiro Ida, Kazufumi Nakamura, and Shinsuke Yuasa. "The use of artificial intelligence in induced pluripotent stem cell-based technology over 10-year period: A systematic scoping review." PLOS ONE 19, no. 5 (2024): e0302537. http://dx.doi.org/10.1371/journal.pone.0302537.

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Background Stem cell research, particularly in the domain of induced pluripotent stem cell (iPSC) technology, has shown significant progress. The integration of artificial intelligence (AI), especially machine learning (ML) and deep learning (DL), has played a pivotal role in refining iPSC classification, monitoring cell functionality, and conducting genetic analysis. These enhancements are broadening the applications of iPSC technology in disease modelling, drug screening, and regenerative medicine. This review aims to explore the role of AI in the advancement of iPSC research. Methods In Dec
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Voso, M., S. Fenu, R. Latagliata, et al. "P-097 The revised IPSS predicts prognosis of myelodysplastic syndromes significantly better than IPSS and WPSS: Validation by the GROM database." Leukemia Research 37 (May 2013): S65—S66. http://dx.doi.org/10.1016/s0145-2126(13)70145-0.

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Khusna, Lailya, and Sitti Rahma Soleman. "Interprofessional Collaborative Practice Di Rumah." Zaitun (Jurnal Ilmu Kesehatan) 11, no. 2 (2023): 48. http://dx.doi.org/10.31314/zijk.v11i2.2515.

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Pendahuluan : Interprofesional education (IPE) merupakan suatu pendekatan yang melibatkan 2 atau lebih interprofesi kesehatan yang secara aktif berkontribusi dan berkolaborasi dalam memahami peran dan tanggung jawab profesi didalam area universitas yang selanjutnya berkembang didalam wilayah praktik melalui interprofesional education – collaboration practice (IPCP). IPE bertujuan untuk menyiapkan mahasiswa kesehatan didalamnya untuk mampu berkolaborasi secara terarah dengan interprofesi lain sedangkan (IPCP) diarea praktik klinik bertujuan untuk meningkatkan derajat kesehatan masyarakat sehat-
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Qin, Chuan, Yun Guo, De-Gang Yang, Ming-Liang Yang, Liang-Jie Du, and Jian-Jun Li. "Induced Pluripotent Stem Cell Transplantation Improves Locomotor Recovery in Rat Models of Spinal Cord Injury: a Systematic Review and Meta-Analysis of Randomized Controlled Trials." Cellular Physiology and Biochemistry 47, no. 5 (2018): 1835–52. http://dx.doi.org/10.1159/000491064.

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Background/Aims: Spinal cord injury (SCI) has long been a subject of great interest in a wide range of scientific fields. Several attempts have been made to demonstrate motor function improvement in rats with SCI after transplantation of induced pluripotent stem cells (iPSC). This systematic review and meta-analysis was designed to summarize the effects of iPSC on locomotor recovery in rat models of SCI. Methods: We searched the publications in the PubMed, Medline, Science Citation Index, Cochrane Library, CNKI, and Wan-fang databases and the China Biology Medicine disc. Results were analyzed
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Vo, Quan Duy, Yukihiro Saito, Kazufumi Nakamura, Toshihiro Iida, and Shinsuke Yuasa. "Induced Pluripotent Stem Cell-Derived Cardiomyocytes Therapy for Ischemic Heart Disease in Animal Model: A Meta-Analysis." International Journal of Molecular Sciences 25, no. 2 (2024): 987. http://dx.doi.org/10.3390/ijms25020987.

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Ischemic heart disease (IHD) poses a significant challenge in cardiovascular health, with current treatments showing limited success. Induced pluripotent derived–cardiomyocyte (iPSC-CM) therapy within regenerative medicine offers potential for IHD patients, although its clinical impacts remain uncertain. This study utilizes meta-analysis to assess iPSC-CM outcomes in terms of efficacy and safety in IHD animal model studies. A meta-analysis encompassing PUBMED, ScienceDirect, Web of Science, and the Cochrane Library databases, from inception until October 2023, investigated iPSC therapy effects
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Park, Sung-Ik. "Analysis of Correlation between Pollution Intensity and Trade Barrier using IPPS and GTAP Database." INTERNATIONAL BUSINESS REVIEW 3, no. 1 (1999): 129. http://dx.doi.org/10.21739/ibr.1999.12.3.1.129.

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Mumtaz, Dzakiyatul Fahmi. "The THE EFFECTIVENESS OF INTERPROFESSIONAL COLLABORATION PRACTICE IN OPERATING ROOM." Jurnal Keperawatan Respati Yogyakarta 8, no. 3 (2021): 208. http://dx.doi.org/10.35842/jkry.v8i3.636.

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Background: Interprofessional Collaboration Practice (IPCP) is a process when several different health care professionals provide comprehensive health services, working together with patients, patients' families, nurses (caregivers) and the community to provide excellent quality care. IPCP is a team-based care action that focuses on improving the quality of patient and family services but is still limited to being applied in hospitals, especially in the operating room.
 Aim: The purpose of this study was to determine the application of Interprofessional Collaboration Practice (IPCP) in th
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Book chapters on the topic "IPSP Database"

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Wright, Paul. "Centralized Native Auditing and IPS." In Protecting Oracle Database 12c. Apress, 2014. http://dx.doi.org/10.1007/978-1-4302-6212-1_6.

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Fankhauser, Peter, Tobias Groh, and Sven Overhage. "XQuery by the Book: The IPSI XQuery Demonstrator." In Advances in Database Technology — EDBT 2002. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45876-x_49.

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Anorboev, Abdulaziz, Javokhir Musaev, Jeongkyu Hong, Ngoc Thanh Nguyen, and Dosam Hwang. "An Image Pixel Interval Power (IPIP) Method Using Deep Learning Classification Models." In Intelligent Information and Database Systems. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-21743-2_16.

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Hischier, Roland, and Paul W. Gilgen. "Life Cycle Assessment Databases as Part of Sustainable Development Strategies." In Information Systems for Sustainable Development. IGI Global, 2005. http://dx.doi.org/10.4018/978-1-59140-342-5.ch002.

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This article describes the importance of standardized, comprehensive and up-to-date life cycle inventory (LCI) databases for implementing policies that point towards sustainable development (SD). Taking present-day Swiss politics as an example, this article shows the interrelations among SD, an integrated product-policy (IPP) and a comprehensive LCI database. For this reason, the Swiss government states in its report on SD that IPP is one of the measures that will be put into practice as new instruments for fiscal policy. As it is essential to be able to calculate real existing value-added chains to arrive at a real application of the IPP concept, the creation of a Swiss competence centre for LCI data is one of the different measures foreseen for the application of IPP. Therefore several LCA institutes within the ETH domain of engineering institutions along with the Swiss Federal Research Station of Agroecology and Agriculture and several Swiss offices/agencies founded the Swiss Centre for Life-Cycle Inventories called ecoinvent.
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Borziak, Kirill, Irena Parvanova, and Joseph Finkelstein. "Introducing a Platform for Integrating and Sharing Stem Cell Research Data." In Studies in Health Technology and Informatics. IOS Press, 2021. http://dx.doi.org/10.3233/shti210186.

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Advancements in regenerative medicine have highlighted the need for increased standardization and sharing of stem cell products to help drive these innovative interventions toward public availability and to increase collaboration in the scientific community. Although numerous attempts and numerous databases have been made to store this data, there is still a lack of a platform that incorporates heterogeneous stem cell information into a harmonized project-based framework. The aim of the platform described in this study, ReMeDy, is to provide an intelligent informatics solution which integrates diverse stem cell product characteristics with study subject and omics information. In the resulting platform, heterogeneous data is validated using predefined ontologies and stored in a relational database. In this initial feasibility study, testing of the ReMeDy functionality was performed using published, publically-available induced pluripotent stem cell projects conducted in in vitro, preclinical and intervention evaluations. It demonstrated the robustness of ReMeDy for storing diverse iPSC data, by seamlessly harmonizing diverse common data elements, and the potential utility of this platform for driving knowledge generation from the aggregation of this shared data. Next steps include increasing the number of curated projects by developing a crowdsourcing framework for data upload and an automated pipeline for metadata abstraction. The database is publically accessible at https://remedy.mssm.edu/.
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Borziak, Kirill, Irena Parvanova, and Joseph Finkelstein. "Intelligent Integrative Platform for Sharing Heterogenuous Stem Cell Research Data." In Applying the FAIR Principles to Accelerate Health Research in Europe in the Post COVID-19 Era. IOS Press, 2021. http://dx.doi.org/10.3233/shti210826.

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Recent studies demonstrated that comparative analysis of stem cell research data sets originating from multiple studies can produce new information and help with hypotheses generation. Effective approaches for incorporating multiple diverse heterogeneous data sets collected from stem cell projects into a harmonized project-based framework have been lacking. Here, we provide an intelligent informatics solution for integrating comprehensive characterizations of stem cells with research subject and project outcome information. Our platform is the first to seamlessly integrate information from iPSCs and cancer stem cell research into a single platform, using a multi-modular common data element framework. Heterogeneous data is validated using predefined ontologies and stored in a relational database, to ensure data quality and ease of access. Testing was performed using 103 published, publicly-available iPSC and cancer stem cell projects conducted in clinical, preclinical and in vitro evaluations. We validated the robustness of the platform, by seamlessly harmonizing diverse data elements, and demonstrated its potential for knowledge generation through the aggregation and harmonization of data. Future aims of this project include increasing the database size using crowdsourcing and natural language processing functionalities. The platform is publicly available at https://remedy.mssm.edu/.
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Trappey, A. J. C., C. V. Trappey, and Samuel Shih. "Logo Image Retrievals Using Deep Embedding Learning." In Advances in Transdisciplinary Engineering. IOS Press, 2021. http://dx.doi.org/10.3233/atde210088.

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A logo is s graphical emblem or mark used as an identification for a company and its products and services. Logos are legally protected as intellectual properties (IPs) if registered as trademarks (TMs). LogosTM are widely distributed online nowadays in the digital economy. Due to their wide distributions online, the constant checking of TM legal usages becomes extremely challenging in the TM registration and protection system. The fact that users can easily imitate the registered TM logo designs casts serious IP legal issue, which highlights the importance of developing an automatic logo image retrieval system. Considering the complexity of TM visual semantics, this research proposes a deep embedding learning for logo image similarity analysis using triplet-network. We propose the optimization of sampling parameters to improve the TM image retrieval performance with robust model. The research aims to reduce discrepancy between human visual interpretation. This transdisciplinary engineering research incorporates deep learning (DL) modeling and TM legal analysis for image-centric TM protection. To demonstrate the model performance, more than 10,000 images for model training and 3000 images for model testing are adopted from Logo-2K+ database. Image retrieval performance shows excellent results with recall@10 exceeding 93%.
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Conference papers on the topic "IPSP Database"

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Neubauer, Thomas, and Reinhard Puffing. "Introduction of an Online Ice Accretion Database." In International Conference on Icing of Aircraft, Engines, and Structures. SAE International, 2023. http://dx.doi.org/10.4271/2023-01-1464.

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<div class="section abstract"><div class="htmlview paragraph">In the course of the Horizon 2020 project ICE GENESIS of the European Union, an experimental database was developed to host documentation of icing experiments. The database serves as a source of information for numerical code development and validation as well as future test matrix design, IPS layout and development and wing design. Several legacy data icing cases have been included into the database, which are partly publicly available. Furthermore, the database will serve as the main platform for dissemination of publi
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Sanchez-Saez, Ricardo, Luis A. Leiva, Joan Andreu Sanchez, and Jose Miguel Benedi. "IPP-Ann: An Interactive Tool for Probabilistic Parsing." In 2010 21st International Conference on Database and Expert Systems Applications (DEXA). IEEE, 2010. http://dx.doi.org/10.1109/dexa.2010.84.

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Nath, Suman, and Aman Kansal. "FlashDB: Dynamic Self-tuning Database for NAND Flash." In 2007 6th International Symposium on Information Processing in Sensor Networks. IEEE, 2007. http://dx.doi.org/10.1109/ipsn.2007.4379701.

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Pitta, Marina Galdino da Rocha, Jordy Silva de Carvalho, Luzilene Pereira de Lima, and Ivan da Rocha Pitta. "iPSC therapies applied to rehabilitation in parkinson’s disease." In XIII Congresso Paulista de Neurologia. Zeppelini Editorial e Comunicação, 2021. http://dx.doi.org/10.5327/1516-3180.022.

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Background: Parkinson’s disease (PD) is a neurological disorder that affects movement, mainly due to damage and degeneration of the nigrostriatal dopaminergic pathway. The diagnosis is made through a clinical neurological analysis where motor characteristics are considered. There is still no cure, and treatment strategies are focused on symptoms control. Cell replacement therapies emerge as an alternative. Objective: This review focused on current techniques of induced pluripotent stem cells (iPSCs). Methods: The search terms used were: “Parkinson’s Disease”, “Stem cells” and “iPSC”. Open arti
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Nakagawa, Ikuo, and Kenichi Nagami. "Jobcast - Parallel and Distributed Processing Framework: Data Processing on a Cloud Style KVS Database." In 2012 IEEE/IPSJ 12th International Symposium on Applications and the Internet (SAINT). IEEE, 2012. http://dx.doi.org/10.1109/saint.2012.25.

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Desideri, Umberto, Stefania Proietti, and Livia Arcioni. "Analysis and Statistic Evaluation of Distributed Generation in Italy." In ASME 7th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2004. http://dx.doi.org/10.1115/esda2004-58129.

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This paper presents a complete analysis of the state of the art and the legislation of distributed generation in Italy, which is similar to other EU countries, and statistic data on combined heat and power plants installed in Italy. Data was collected from a large number of sources, because most of the small size plants are operated by IPP without an electrical exchange contract with the grid and are not documented. The results of this research has allowed to show that 22.000 MW can be generated by over 1600 power plants spread over the Italian territory. A more detailed analysis and validatio
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Soh, Jung, Paul W. Palumbo, and Sargur N. Srihari. "Real-Time Recognition of Address Blocks on Mail Pieces." In Image Understanding and Machine Vision. Optica Publishing Group, 1989. http://dx.doi.org/10.1364/iumv.1989.ma3.

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In previous papers, we introduced the general problem of locating a block of text corresponding to the destination address on complex backgrounds (such as magazine covers), the architecture of ABLS (address block location system) and its performance with an image database consisting of many difficult cases [SWP87, WaS88]. ABLS has demonstrated its competence by successfully locating address blocks on mail pieces that exhibit visually complex configurations. The current phase of research is to determine how to develop a system that can perform in real-time. A real-time system must be capable of
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Aytun, Cengiz, Cemil Serhat Akın, and Neşe Algan. "The Nexus between Environmental Degradation, Income and Energy Consumption in Emerging Countries." In International Conference on Eurasian Economies. Eurasian Economists Association, 2016. http://dx.doi.org/10.36880/c07.01679.

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Today, especially in developing countries, environmental pollution threatens human life. Environmental quality is one of the most important sources of human welfare. Therefore, it is becoming increasingly important to understand the relationship between environmental degradation, income and energy consumption. The aim of this study is to investigate the nature of relationships among the carbon dioxide emissions, economic growth and energy consumption for emerging economies. For this purpose, Environmental Kuznets Curve hypothesis have been tested for 10 emerging economies for the years from 19
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Su, Joseph C., Suresh Marrey, Jignesh Damania, and Kevin Shaw. "Manufacturing Information Management and Integrated Capacity Planning in a High Mix Electronics Manufacturing Environment." In ASME 2003 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/detc2003/cie-48242.

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The high-end electronics manufacturing industry is challenged by the nature of medium/low volume and rich mix as it involves the management of various products and an extensive number of production recipes in a mixed productionflow. In addition, facing dynamic demands and the large amount of system transactions required to successfully manage the entire process further intensifies the complexity of the highmix supply chain. The key to enhance supply-chain operations of this complex process is the efficient use of information systems to (1) ensure the transparency of demand and (2) supply capac
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Reports on the topic "IPSP Database"

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Tegethoff, Thomas, Ricardo Alberto Santa Flórez, and BenjamÍn Cabrera Castro. Encuestas IPS. CESA, 2024. http://dx.doi.org/10.57130/fk2/6j3j99.

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Bhutiani, Rakesh. Decoding Academic Impact: Citation Metrics and Journal Quartile Systems (A Comprehensive Guide 2025). Rakesh Bhutiani, 2025. https://doi.org/10.36953/rbb.8062025.

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With respect to academics, publishing an article is not simply coming up with new knowledge it is ensuring that it is recognized, evaluated, and cited appropriately. This is why different citation metrics and journals ranking systems have been developed. There are tools available for measuring the impact as well as the visibility of a researcher’s work, and these tools are known as citation metrics. As a graduate student or even a newly minted Ph.D. or an established scholar, the metrics are essential to garner funding, institutional standings, and career advancements. In this blog, we will ex
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Skelly, Andrea C., Roger Chou, Joseph R. Dettori, et al. Integrated and Comprehensive Pain Management Programs: Effectiveness and Harms. Agency for Healthcare Research and Quality (AHRQ), 2021. http://dx.doi.org/10.23970/ahrqepccer251.

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Objectives. To evaluate the effectiveness and harms of pain management programs that are based on the biopsychosocial model of care, particularly in the Medicare population. Data sources. Electronic databases (Ovid® MEDLINE®, PsycINFO®, CINAHL®, Cochrane Central Register of Controlled Trials, and Cochrane Database of Systematic Reviews) from 1989 to May 24, 2021; reference lists; and a Federal Register notice. Review methods. Given lack of consensus on terminology and program definition for pain management, we defined programs as integrated (based in and integrated with primary care) and compr
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