1,721,604 research outputs found
Butter Production at Anselma
No full textAn internal document from The Mill at Anselma that compares John Oberholtzer\u27s butter production to his father\u27s.https://digitalcommons.ursinus.edu/oberholtzer_gallery/1005/thumbnail.jp
Sara Louisa Vickers- Sign at The Mill at Anselma
No full textA sign that is featured at The Mill at Anselma that describes in detail Sara\u27s early life and her activism later in life.https://digitalcommons.ursinus.edu/oberholtzer_gallery/1015/thumbnail.jp
The Mill at Anselma Volunteer Meeting- Oberholtzer Updates
No full textAn internal document from The Mill at Anselma that goes over census data and other information to learn more about John Oberholtzer, his family, and what their time at the Mill was like.https://digitalcommons.ursinus.edu/oberholtzer_gallery/1056/thumbnail.jp
The Store and The Railroad, The Name Anselma, and Allen Simmers
No full textThis internal document from The Mill at Anselma goes into detail about the general store and railroad that John Oberholtzer established after his milling injury. Also it talks about Allen Simmers, who bought the Mill from John in 1886.https://digitalcommons.ursinus.edu/oberholtzer_gallery/1016/thumbnail.jp
Anselma Velazquez Zambrano
No full textPhotograph shows Anselma Velazquez Zambrano, a midwife in Beeville, seated in a chair with Anselma Zambrano and Eufracio Zambrano standing behind her. Patchwork quilt hanging behind them
Dealing with temporal indeterminacy in relational databases: An AI methodology
Get PDFTime is pervasive of the human way of approaching reality, so that it has been widely studied in many research areas, including AI and relational Temporal Databases (TDB). While temporally imprecise information has been widely studied by the AI community, only few approaches have faced temporal indeterminacy (in particular, “don’t know exactly when” indeterminacy) in TDBs. Indeed, as we will show in this paper, the treatment of time in general, and of temporal indeterminacy in particular, involves the introduction of implicit forms of data representation in TDBs. As a consequence, we propose a new AI -style methodology to cope with temporal indeterminacy in TDBs. Specifically, we show that typical AI notions and techniques, such as making explicit the semantics of the representation formalism, and adopting symbolic manipulation techniques based on such a semantics, can be fruitfully exploited in the development of a “principled ” treatment of indeterminate time in relational databases
Liderazgo y alteridad: la educación en la actitud como complemento de la formación profesional, camino hacia un nuevo paradigma
Get PDFFil: Anselma Figueroa, Juan Pablo. Universidad Nacional de Villa María; Argentina
Temporal detection and analysis of guideline interactions
Get PDFBackground
Clinical practice guidelines (CPGs) are assuming a major role in the medical area, to grant the quality of medical assistance, supporting physicians with evidence-based information of interventions in the treatment of single pathologies. The treatment of patients affected by multiple diseases (comorbid patients) is one of the main challenges for the modern healthcare. It requires the development of new methodologies, supporting physicians in the treatment of interactions between CPGs. Several approaches have started to face such a challenging problem. However, they suffer from a substantial limitation: they do not take into account the temporal dimension. Indeed, practically speaking, interactions occur in time. For instance, the effects of two actions taken from different guidelines may potentially conflict, but practical conflicts happen only if the times of execution of such actions are such that their effects overlap in time.
Objectives
We aim at devising a methodology to detect and analyse interactions between CPGs that considers the temporal dimension.
Methods
In this paper, we first extend our previous ontological model to deal with the fact that actions, goals, effects and interactions occur in time, and to model both qualitative and quantitative temporal constraints between them. Then, we identify different application scenarios, and, for each of them, we propose different types of facilities for user physicians, useful to support the temporal detection of interactions.
Results
We provide a modular approach in which different Artificial Intelligence temporal reasoning techniques, based on temporal constraint propagation, are widely exploited to provide users with such facilities. We applied our methodology to two cases of comorbidities, using simplified versions of CPGs.
Conclusion
We propose an innovative approach to the detection and analysis of interactions between CPGs considering different sources of temporal information (CPGs, ontological knowledge and execution logs), which is the first one in the literature that takes into account the temporal issues, and accounts for different application scenarios
Rule-based Control and Equivalent Consumption Minimization Strategies for Hybrid Electric Vehicle Powertrains: a Hardware-in-the-loop Assessment
Get PDFEnergy management systems are crucial in hybrid electric vehicles (HEVs). Other than enhanced energy economy, a proper energy management system must guarantee acceptable driving comfort, compliance with the allowed battery state-of-charge window, and on-board computational efficiency. While several studies from the literature have compared different state-of-the-art real-time HEV powertrain energy management strategies, not much work has been performed on the hardware-in-the-loop (HIL) assessment of these control approaches. This paper aims at answering the identified research need by performing an experimental HIL assessment of different state-of-the-art HEV control strategies including a rule-based control (RBC) approach and three different formulations of equivalent consumption minimization strategy (ECMS), both of traditional and adaptive type. A parallel-through-the-road HEV is considered for this case study. Various assessment criteria are retained including HEV fuel economy, measured computational time, and comfort of the ride in terms of frequency of de/activation events and smoothness of the controlled value of torque over time for the internal combustion engine. Obtained results suggest that the RBC approach can achieve improved performance in almost all the retained evaluation criteria. The traditional ECMS can outperform RBC in terms of fuel economy, yet by undermining both ride comfort and compliance with the battery SOC window. Finally, an adaptive ECMS can outperform the RBC in terms of fuel economy while ensuring acceptable comfort and compliance with the battery SOC window, yet at a significant computational cost increase
John Oberholtzer, Teacher, Miller, Entrepreneur
No full textA notecard belonging to the Mill at Anselma that describes John Oberholtzer\u27s life.https://digitalcommons.ursinus.edu/oberholtzer_gallery/1003/thumbnail.jp
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