136 research outputs found
Preface
No full textThe University of Pennsylvania Working Papers in Linguistics (PWPL) is an occasional series published by the Penn Graduate Linguistics Society. The series has included volumes of previously unpublished work, or work in progress, by linguists with an ongoing affiliation with the Department, as well as volumes of papers from NWAV and the Penn Linguistics Conference.
This volume contains selected papers accepted into the 44th Penn Linguistics Conference. This volume is exceptional insofar as PLC 44 was canceled due to the COVID-19 pandemic; we thank all authors accepted into PLC 44 for their patience and understanding. In an effort to give a panoramic view of the canceled conference, we decided to invite submissions both from authors of oral presentations (10-page papers) as well as poster presentations (5-page papers).
Thanks go to Faruk Akkuş, George Balabanian, Johanna Benz, Nikita Bezrukov, Pik Yu May Chan, Yiran Chen, June Choe, Ava Creemers, Gwen Hildebrandt, Wei Lai, Aini Li, Daoxin Li, Ollie Sayeed, Christine Soh, Ruicong Sun, and Yosiane White for their help in editing.
Since Vol. 14.2, PWPL has been an internet-only publication. As of September 2014, the entire back catalog has been digitized and made available on ScholarlyCommons@Penn. Please continue citing PWPL papers or issues as you would a print journal article, though you may also provide the URL of the manuscript. An example is below:
Li, Aini, and Meredith Tamminga. 2021. Intra- and interspeaker repetitiveness in locative variation. In University of Pennsylvania Working Papers in Linguistics 27.1, ed. Alexandros Kalomoiros and Lefteris Paparounas, 119-127. Available at: http://repository.upenn.edu/pwpl/vol27/iss1/16.
Publication in the University of Pennsylvania Working Papers in Linguistics (PWPL) does not preclude submission of papers elsewhere; copyright is retained by the author(s) of individual papers.
The PWPL editors can be contacted at: U. Penn Working Papers in Linguistics, Department of Linguistics, 3401-C Walnut Street, Suite 300, C Wing, Philadelphia, PA 19104-6228 and [email protected].
Alexandros Kalomoiros and Lefteris Paparounas, Issue Editor
Biomass distances from personalized multispecies dynamic flux balance analysis of the human gut microbiome identify dietary influences for patients with and without inflammatory bowel disease
No full textA parallelized version of a multispecies dynamic flux balance analysis (msdFBA) algorithm is implemented and applied to the AGORA collection of genome-scale metabolic reconstructions for 818 members of the human gut microbiome. The msdFBA method assumes the well stirred interaction mode of all organisms to exchange external metabolites. In each msdFBA simulation, the biomasses the gut microbiome composition of one of 149 patients from NIH Human Microbiome Project is used for initialization in combination with one of 11 different diets used as substrates as defined in the Virtual Metabolic Human database. The union of all species in the patient data comprises 255 different microbes. The patients are either healthy or suffer from inflammatory bowel disease (IBD). The msdFBA simulation is performed for 50 time steps. For all combinations of patients and time steps, the euclidean distance between the vector of the biomasses of the 255 patient species and the evolving vector of biomasses for the same species is calculated, providing the information about the biomass distance to each patient during each simulation. To quantify the overall influence of a diet for all patients, a diet score is defined as the sum of the reciprocal distances to the closest patient at the last time step, in case the closest patient is diseased, subtracted from the respective sum for the case that the closest patient is healthy. With this score, the known beneficial influences both of a high fiber and a gluten free diet for IBD is verified. Noteworthy is the utility of a Mediterranean diet in this context, having similar distance patterns. The proposed method provides an universal platform for the in-silico analysis of different environmental influences like diets for different microbiotas defined by metagenomic quantifications from individual patients and has the potential to generate additional dietary recommendations for the management of various other diseases
Microstructure evolution and mechanical behavior of Fe–Mn–Al–C low-density steel upon aging
No full textThis study focuses on the microstructure's evolution upon different aging conditions of a high-strength low-density steel with a composition of Fe–28Mn–9Al–1C. The steel is hot rolled, subsequently quenched without any solution treatment, and then aged under different conditions. The microstructure of the samples was studied by means of Scanning Electron Microscopy, Electron Backscatter Diffraction, and Transmission Electron Microscopy. The aging treatment leads to the formation of an ordered face-centered cubic L12 phase named κ-carbide. This study aims to characterize the formation and growth of these κ-carbides qualitatively and quantitatively under different aging conditions. Then, an effort is made to relate the fraction and size of this phase with the tensile properties of the steel to determine the optimal aging conditions that will lead to a good combination of strength and ductility. It has been found that the κ-carbides start to form intragranularly through concentration fluctuations of aluminum and manganese inside the austenite grain. Then, with the process of spinodal decomposition, they grow in size coherently with the matrix. During this process, the strength and hardness of the steel increase while maintaining a relatively high elongation. The best combination of high strength and ductility was achieved at the aging condition of 8 h at 550 °C with an ultimate tensile strength up to 1157 MPa and total elongation of 51%. Increasing the aging temperature and time, κ-carbides start to form intergranularly, lose their coherency with the matrix and severely compromise the hardness and strength. The shearing of the carbides during deformation is also studied.Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Team Maria Santofimia Navarr
Cure kinetics, glass transition temperature development, and dielectric spectroscopy of a low temperature cure epoxy/amine system
No full textThis article reports a study of the chemical cure kinetics and the development of glass transition temperature of a low temperature (40 degrees C) curing epoxy system (MY 750/HY 5922). Differential scanning calorimetry, temperature modulated differential scanning calorimetry, and dielectric spectroscopy were utilized to characterize the curing reaction and the development of the cross-linking network. A phenomenological model based on a double autocatalytic chemical kinetics expression was developed to simulate the cure kinetics behavior of the system, while the dependence of the glass transition temperature on the degree of cure was found to be described adequately by the Di Benedetto equation. The resulting cure kinetics showed good agreement with the experimental data under both dynamic and isothermal heating conditions with an average error in reaction rate of less than 2 x 10(-3) min-1. A comparison of the dielectric response of the resin with cure kinetics showed a close correspondence between the imaginary impedance maximum and the calorimetric progress of reaction. Thus, it is demonstrated that cure kinetics modeling and monitoring procedures developed for aerospace grade epoxies are fully applicable to the study of low temperature curing epoxy resins. (C) 2011 Wiley Periodicals, Inc. J Appl Polym Sci, 2012</p
DOME: recommendations for supervised machine learning validation in biology
No full textSupervised machine learning is widely used in biology and deserves more scrutiny. We present a set of
community-wide recommendations (DOME) aiming to help establish standards of supervised machine
learning validation in biology. Formulated as questions, the DOME recommendations improve the
assessment and reproducibility of papers when included as supplementary material.The work of the Machine Learning Focus Group was funded by ELIXIR, the research infrastructure for life-science data. IW was funded by the A*STAR Career Development Award (project no. C210112057) from the Agency for Science, Technology and Research (A*STAR), Singapore. D.F. was supported by Estonian Research Council grants (PRG1095, PSG59 and ERA-NET TRANSCAN-2 (BioEndoCar)); Project No 2014-2020.4.01.16-0271, ELIXIR and the European Regional Development Fund through EXCITE Center of Excellence. S.C.E.T. has received funding from the European Union’s Horizon 2020 research and innovation programme under Marie Skłodowska-Curie Grant agreements No. 778247 and No. 823886, and Italian Ministry of University and Research PRIN 2017 grant 2017483NH8.Peer Reviewed"Article signat per 8 autors més 28 autors/es de l' ELIXIR Machine Learning Focus Group: Emidio Capriotti, Rita Casadio, Salvador Capella-Gutierrez, Davide Cirillo, Alessio Del Conte, Alexandros C. Dimopoulos, Victoria Dominguez Del Angel, Joaquin Dopazo, Piero Fariselli, José Maria Fernández, Florian Huber, Anna Kreshuk, Tom Lenaerts, Pier Luigi Martelli, Arcadi Navarro, Pilib Ó Broin, Janet Piñero, Damiano Piovesan, Martin Reczko, Francesco Ronzano, Venkata Satagopam, Castrense Savojardo, Vojtech Spiwok, Marco Antonio Tangaro, Giacomo Tartari, David Salgado, Alfonso Valencia & Federico Zambelli"Postprint (author's final draft
Niphargus graecus Karaman S. 1934
No full textNiphargus graecus Karaman S., 1934 Published records: Karaman S. (1934); Karaman G.S. (2017a). Distribution: Endemic to Greece: Central Greece (IO); Western Greece (IO); Peloponnese (IO). Type material: Holotype: male 10 mm on 4 slides (217/1-217/4), 217 = Akrokorinth (Acrocorinth), spring (central part of Greece), 19.06.01931, 3 exp. (leg. Hans Stadler),,. Paratype: male 6 mm (217/5), same data as for holotype,. Examined material: G-248 (= Sp 313), Delphes, fountain (central part of Greece), 24.04.1954, 7 exp. (leg. K. Lindberg), Karaman G.S. (2017a); S-7335= Lake Lisimachia, Klisovremata, Agrinio (central part of Greece) 24.04.2004, 4 exp. (leg. C. Fišer & R. Verovnik) (type locality of N. aitolosi) Karaman G.S. (2017a). Remarks: Recently, Karaman G.S. (2017a) has redescribed this species, using the original material and additional specimens from the central and western part of Greece. According to the author, N. graecus and N. aitolosi have morphological similarities, sharing the same locality at the lower part of Acheloos system, including the lakes of Lysimachia and Trichonida. Molecular analysis of N. graecus from all known localities is therefore required to solve the taxonomis status of different populations. Etymology: Species epithet is derived from the country of origin, Greece.Published as part of Ntakis, Alexandros, Karaouzas, Ioannis, Fišer, Cene & Stoch, Fabio, 2020, An annotated checklist of the Niphargidae (Crustacea: Amphipoda) of Greece, pp. 517-544 in Zootaxa 4772 (3) on page 529, DOI: 10.11646/zootaxa.4772.3.5, http://zenodo.org/record/385661
Hardware Inexact Grammar Parser
No full text In this paper, a platform is presented, that given a Stochastic Context-Free Grammar (SCFG), automatically outputs the description of a parser in synthesizable Hardware Description Language (HDL) which can be downloaded in an FPGA (Field Programmable Gate Arrays) board. Although the proposed methodology can be used for various inexact models, the probabilistic model is analyzed in detail and the extension to other inexact schemes is described. Context-Free Grammars (CFG) are augmented with attributes which represent the probability values. Initially, a methodology is proposed based on the fact that the probabilities can be evaluated concurrently with the parsing during the parse table construction by extending the fundamental parsing operation proposed by Chiang & Fu. Using this extended operation, an efficient architecture is presented based on Earley’s parallel algorithm, which given an input string, generates the parse table while evaluating concurrently the probabilities of the generated dotted grammar rules in the table. Based on this architecture, a platform has been implemented that automatically generates the hardware design of the parser given a SCFG. The platform is suitable for embedded systems applications where a natural language interface is required or in pattern recognition tasks. The proposed hardware platform has been tested for various SCFGs and was compared with previously presented hardware parser for SCFGs based on Earley’s parallel algorithm. The hardware generated by the proposed platform is much less complicated than the one of comparison and succeeds a speed-up of one order of magnitude. </jats:p
TELIOS: A Tool for the Automatic Generation of Logic Programming Machines
No full textAbstract In this paper the tool TELIOS is presented, for the automatic generation of a hardware machine, corresponding to a given logic program. The machine is implemented using an FPGA, where a corresponding inference machine, in application specific hardware, is created on the FPGA, based on a BNF parser, to carry out the inference mechanism. The unification mechanism is based on actions embedded between the non-terminal symbols and implemented using special modules on the FPGA
- …
