231 research outputs found
Humphry Davy: Science, Authorship, and the Changing Romantic
In the mid to late 1700s, men of letters became more and more interested in the natural world. From studies in astronomy to biology, chemistry, and medicine, these philosophers pioneered what would become our current scientific categories. While the significance of their contributions to these fields has been widely appreciated historically, the interconnection between these men and their literary counterparts has not. A study of the Romantic man of science reveals how much that figure has in common with the traditional Romantic literary figure embodied by poets like William Wordsworth and Samuel Taylor Coleridge. This thesis interrogates connections between Romantic literature and science by examining the figure of the Romantic author. In his 1969 essay What is an Author? Foucault called into question the way we think about authorship. Foucault states that before the late eighteenth-century, what we call literary texts were accepted, put into circulation and valorized without any question about the identity of the author (108). Simultaneously, scientific texts were accepted in the Middle Ages, [. . .] only when marked with the name of their author (109). Foucault argues that norms of authorship underwent a reversal in the eighteenth century. The result of this shift is that literary discourses came to be accepted only when endowed with the author function while in the sciences, the author function faded away (109). A case study of the scientist Humphry Davy disrupts Foucault\u27s suggestion that a total reversal in the workings of the author function was achieved by the Romantic period. I argue that Davy is an exception to Foucault\u27s history of authorship and that Davy\u27s authorial identity in the sciences as the public man of science is equal to the author function of literary figures of the same period. Davy pioneered the public man of science, a figure who corresponds nearly perfectly with the emerging figure of the author in the literary sphere. Ultimately we see Davy as a figure who embodies and reconstructs the Romantic I and requires us to reconsider the category of scientific authorship and the figure of the scientist as author
Davy James : Sensation
Item located in folder hy-dm-marks-folk-1965-1995-001. Not all items in folder uploaded.The article focused on 21 year old Davy James who was considered to have promising talent which would challenge well known musicians. The author also mentioned that James had recently signed with the Gallo Organisation to showcase his talent in both writing the words and music to all his songs. According to the author, James had achieved success despite his stammer which at times had prevented him from beginning a word
A route to school informational intervention for air pollution exposure reduction
A route to school informational intervention for air pollution exposure reduction (Author Accepted Manuscript
A Generic Data-driven Sequential Clustering Algorithm Determining Activity Skeletons
AbstractMany activity-based models start by scheduling inflexible or mandatory activities (if present), before more flexible activities. Often work and educational activities are assumed as most stringent and recognized as the only mandatory activities. According to this definition, only 45% of all schedules contains a mandatory activity (OVG single-day travel survey in Flanders, Belgium). This means 55% of schedules does not have a traditional mandatory-flexible activity structure. This research proposes a completely data-driven approach to reveal the real basic structure of individuals’ schedules, i.e. the skeleton schedule sequence. To this end, a sequential clustering algorithm was developed. Furthermore, an in-depth analysis of the parameter settings was performed. The proposed method reveals a set of skeleton activity schedules and confirms the importance of work and education
SUPERSTRUCTURE DESIGN WITH COST MANAGEMENT OF MEETING, INCENTIVE, CONVENTION, AND EXHIBITION BUILDING IN TANGERANG PT. DAVY SUKAMTA AND PARTNERS
Building infrastructure development is a construction process that includes
planning, designing, constructing, and maintaining buildings that serve various
functions in the community. In real life, infrastructure development is critical to
economic development, community well-being, and regional development.
Because of that, Universitas Atma Jaya Yogyakarta make a requirements for their
students to achieve bachelor’s degree of Civil Engineering Study Program. The
final project infrastructure report is given with intention of producing capable
undergraduate graduates who can develop infrastructure in the field of civil
engineering and as the culmination of the knowledge acquired and studied during
the lecture process.
In this study, author design and estimating the Meeting, Incentive,
Convention and Exhibition Building in Tangerang that designed by PT. Davy
Sukamta and Partners. The Convention and Exhibition Centre has four stories: the
first floor, which serves as the parking area, the second floor as the main hall, the
mezzanine floor, and the third floor. This plan includes supper structure planning
as well as construction management by breaking down the cost analysis.
The reinforcements design of this building is also given as author’s
assignment during her internship in PT. Davy Sukamta and Partners. So that, to
fulfill the final project requirements, besides design the reinforcements of
superstructure, author also estimates the construction
A personalized mobility based intervention to promote pro-environmental travel behavior
The development of effective behavioral change strategies that will convince individuals to voluntarily switch to pro-environmental travel behavior is a core research area for transportation and environmental experts. Personalized travel planning (PTP) is considered as an effective approach that encourages individuals to adopt environmental-friendly travel choices. This paper describes the design and implementation of a PTP intervention that was developed based on the persuasive techniques and the stage model of self-regulated behavior change (SSBC). Based on the recorded travel diary of the individuals, web-based customized pro-environmental travel plans were suggested along with pro-environmental and pro-healthy impacts. The effectiveness was assessed by comparing the travel behavior along with consequences before and after the implemented intervention. Significant differences were observed in an individual travel behavior regarding car dependency and active mobility with an effect size of 0.28 and 0.45 (Cohen's d) respectively. On an average, 4.25 percentage points decrease in CO2 emission and 6.10 percentage point increase in physical activity level per individual was found due to their change in travel behavior. Stage analysis of the individual travel behavior revealed that the implemented PTP intervention triggers an individual's transition towards more action-oriented stages in this behavior change process. Based on the results, it is concluded that intervention is effective to promote pro-environmental and pro-healthy travel choices and can bring higher benefits when implemented on a broader level.This project has received funding from the European Union Horizon 2020 research and innovation programme under grant agreement No 689954. This paper reflects the authors views. The European Commission is not liable for any use that may be made of the information contained therein.Adnan, M (corresponding author), Hasselt Univ, Transportat Res Inst IMOB, Agoralaan, B-3590 Diepenbeek, Belgium.
[email protected]; [email protected]; [email protected]; [email protected]
Modelling Value of Time for Trip Chains in Daily Schedules
AbstractThe decision about spending time on an activity, switching to the next activity and transport mode used to travel to the next activity location depends on money value of time; opportunity cost of time at activity. Optimal condition of transition between two activities occurs when their marginal utility of time is equal. The presented framework in this paper models the marginal utility of activity to express the money benefit earned by spending each unit of time at the given activity. The proposed model is generalized for the schedule with any number of activities as contrast to previous studies, where such models were used for schedules with fixed number of activities. This framework can be used to calculate the loss in value of time due decreased activity participation resulting from travel delays
Yoga as part of a package of care versus non-standard care for schizophrenia
BACKGROUND: Yoga is an ancient body-mind practice which originated in India and is popular in the Western world as a form of relaxation and exercise. It has been of interest for people with schizophrenia to determine the efficacy of yoga delivered as a package of care versus non-standard care. OBJECTIVES: To examine the effects of yoga as part of a package of care versus non-standard care for schizophrenia. SEARCH METHODS: We searched the Cochrane Schizophrenia Group Trials Register (latest 15 May 2018) which is based on regular searches of MEDLINE, PubMed, Embase, CINAHL, BIOSS, AMED, PsychINFO, and registries of clinical trials. We searched the references of all included studies. There are no language, date, document type, or publication status limitations for inclusion of records in the register. SELECTION CRITERIA: All randomised controlled trials (RCTs) including people with schizophrenia comparing yoga as part of a package of care with non-standard care. DATA COLLECTION AND ANALYSIS: There were no data to analyse as no studies met the inclusion criteria. MAIN RESULTS: The searches identified 30 studies that could be relevant to this review. After careful inspection, 29 were excluded and one is awaiting classification. No data were available for analyses. AUTHORS' CONCLUSIONS: In view of the lack of evidence from RCTs, it is currently not possible for us to comment on the use of yoga as part of a package of care versus non-standard care.sponsorship: Trinity Centre for Health Sciences, Dublin, Ireland. Employs lead author Julie Broderick. Katholieke Universiteit Leuven, Belgium. Employs review author Davy Vancampfort. Health Research Board, Ireland. This review was conducted as part of a series of reviews which were funded by a Cochrane Fellowship Grant (CTF-2014-880) from the Health Research Board, Ireland (HRB). (Trinity Centre for Health Sciences, Dublin, Ireland, Katholieke Universiteit Leuven, Belgium, Health Research Board, Ireland, Cochrane Fellowship Grant from the Health Research Board, Ireland (HRB)|CTF-2014-880, Health Research Board (HRB)|CTF-2014-880)status: Publishe
Data Preparation to Simulate Public Transport in Micro-Simulations Using OSM and GTFS
AbstractResearch on demand-responsive collective transportation facilities that can act as feeder services to time-table based public transportation (PT) requires detailed and accurate information about the PT infrastructure, including the attachment of bus stops to the appropriate network link. Due to the size of the infrastructure, the data integration shall be automated. This paper describes the effort to prepare data from publicly available OpenStreetMap (OSM) and General Transit Feed Specification (GTFS) sources. Procedures are proposed (i) to build a network derived from OSM suitable for simulations in transportation, (ii) to extract bus stops from GTFS and remove anomalies and (iii) to find candidate network links to attach them
Give it a shot: Few-shot learning to normalize ADR mentions in Social Media posts
This paper describes the system that team MYTOMORROWS-TU DELFT developed for the 2019 Social Media Mining for Health Applications (SMM4H) Shared Task 3, for the end-to-end normalization of ADR tweet mentions to their corresponding MEDDRA codes. For the first two steps, we reuse a state-of-theart approach, focusing our contribution on the final entity-linking step. For that we propose a simple Few-Shot learning approach, based on pre-trained word embeddings and data from the UMLS, combined with the provided training data. Our system (relaxed F1: 0.337- 0.345) outperforms the average (relaxed F1 0.2972) of the participants in this task, demonstrating the potential feasibility of few-shot learning in the context of medical text normalization.Web Information SystemsHuman-Centred Artificial Intelligenc
- …
