319 research outputs found
Experiment Simulation Configurations Used in DUNE CDR
The LBNF/DUNE CDR describes the proposed physics program and experimental
design at the conceptual design phase. Volume 2, entitled The Physics Program
for DUNE at LBNF, outlines the scientific objectives and describes the physics
studies that the DUNE collaboration will perform to address these objectives.
The long-baseline physics sensitivity calculations presented in the DUNE CDR
rely upon simulation of the neutrino beam line, simulation of neutrino
interactions in the far detector, and a parameterized analysis of detector
performance and systematic uncertainty. The purpose of this posting is to
provide the results of these simulations to the community to facilitate
phenomenological studies of long-baseline oscillation at LBNF/DUNE.
Additionally, this posting includes GDML of the DUNE single-phase far detector
for use in simulations. DUNE welcomes those interested in performing this work
as members of the collaboration, but also recognizes the benefit of making
these configurations readily available to the wider community.Comment: 9 pages, 4 figures, configurations in ancillary file
Effective Biosorption of Phosphate from Water Using Fe(III)-Loaded Pomegranate Peel
Removal of phosphate from wastewater is necessary for the safety of public health and environmental protection. The present study used an easily available and affordable biosorbent obtained from the pomegranate peel for the excision of phosphate from water. The biosorption behavior of raw pomegranate peel powder (RPGPP) was found negligible. The RPGPP was further saponified with Ca(OH)2 followed by Fe(III) loading to obtain Fe(III)-loaded pomegranate peels (Fe(III)-PGPP), which was then employed for the phosphate uptake. Fourier transform infrared spectroscopy (FTIR), energy dispersive X-ray (EDX) spectroscopy, scanning electron microscopy (SEM), and X-ray diffraction (XRD) were used to characterize the biosorbent. The batch adsorption test was used to evaluate the adsorption viability of biosorbents for removing phosphate from aqueous solution. Fe(III)-PGPP was determined to have a pHPZC of 5.40. The experimental data were best explained by the Langmuir isotherm and pseudo-second-order kinetic model. Fe(III)-PGPP had the largest phosphate biosorption capacity of 99.30 mg g–1 at the optimum pH of 3.0 and 2.5 hours of contact time. From the results obtained, Fe(III)-PGPP adsorbent can be regarded as an effective and cost-efficient material for the treatment of phosphate-anion-contaminated water
FINE NEEDLE ASPIRATION CYTOLOGY OF BREAST LUMP IN T.U. TEACHING HOSPITAL
This is a retrospective study of fine needle aspiration cytology of breast lesions
performed between May 1998 and April 2000. During this period, a total of 2001 fine
needle aspirations were done in the Tribhuvan Universtiy Teaching Hospital (TUTH),
of which 470 (23.48 %) were of the breast. Fibrocystic disease found to be the most
frequent and was diagnosed in 183 cases (38.9%). Fibroadenoma was the third common
pathological condition, numbering 61 (12.9%). Malignant conditions of the breast
were 72 cases (15.3%).
During these two years, histological diagnosis was available in 154 cases. Histological
examination revealed benign conditions in 74 cases (48%), malignancy in 59 cases
(38.3%) and inflammatory & lactational changes in 21 cases (13.7%). Out of these
154 cases, 71 cases had also undergone fine needle aspiration cytology. The 36 cases
diagnosed as benign cytologically, 34 cases were also benign histologically, whereas 2
cases turned out to be malignant. Out of 37 cases that were histologically malignant,
on cytology 35 cases were diagnosed as malignant. The sensitivity and specificity of
cytopathological diagnosis for breast lesions was 100% and 94.6% respectively.
Inflammatory lesions correlated well cytologically and histolgically.
FNAC is a safe and rapid diagnostic method for evaluation of various lesions. However,
there are possibilities of false negative and false positive results because of wide range
of appearance of breast lesions.
Key Words: Breast lumps, Fine Needle Aspiration Cytology, Benign Lesions,
Malignant Lesions, Histopathology and Correlation
Measurement of the muon anti-neutrino double-differential cross section for quasi-elastic scattering on hydrocarbon at~ GeV
We present double-differential measurements of anti-neutrino quasi-elastic
scattering in the MINERvA detector. This study improves on a previous single
differential measurement by using updated reconstruction algorithms and
interaction models, and provides a complete description of observed muon
kinematics in the form of a double-differential cross section with respect to
muon transverse and longitudinal momentum. We include in our signal definition
zero-meson final states arising from multi-nucleon interactions and from
resonant pion production followed by pion absorption in the primary nucleus. We
find that model agreement is considerably improved by a model tuned to MINERvA
inclusive neutrino scattering data that incorporates nuclear effects such as
weak nuclear screening and two-particle, two-hole enhancements.Comment: 47 pages, 31 figure
FILTWAM and Voice Emotion Recognition
This paper introduces the voice emotion recognition part of our framework for improving learning through webcams and microphones (FILTWAM). This framework enables multimodal emotion recognition of learners during game-based learning. The main goal of this study is to validate the use of microphone data for a real-time and adequate interpretation of vocal expressions into emotional states were the software is calibrated with end users. FILTWAM already incorporates a valid face emotion recognition module and is extended with a voice emotion recognition module. This extension aims to provide relevant and timely feedback based upon learner's vocal intonations. The feedback is expected to enhance learner’s awareness of his or her own behavior. Six test persons received the same computer-based tasks in which they were requested to mimic specific vocal expressions. Each test person mimicked 82 emotions, which led to a dataset of 492 emotions. All sessions were recorded on video. An overall accuracy of our software based on the requested emotions and the recognized emotions is a pretty good 74.6% for the emotions happy and neutral emotions; but will be improved for the lower values of an extended set of emotions. In contrast with existing software our solution allows to continuously and unobtrusively monitor learners’ intonations and convert these intonations into emotional states. This paves the way for enhancing the quality and efficacy of game-based learning by including the learner's emotional states, and links these to pedagogical scaffolding.The Netherlands Laboratory for Lifelong Learning (NELLL) of the Open University of the Netherlands
Long-Baseline Neutrino Facility (LBNF) and Deep Underground Neutrino Experiment (DUNE) Conceptual Design Report Volume 2: The Physics Program for DUNE at LBNF
The Physics Program for the Deep Underground Neutrino Experiment (DUNE) at
the Fermilab Long-Baseline Neutrino Facility (LBNF) is described
Dark Matter Search in a Proton Beam Dump with MiniBooNE
6 pages, 7 figures6 pages, 7 figure
Reconstruction of interactions in the ProtoDUNE-SP detector with Pandora
The Pandora Software Development Kit and algorithm libraries provide pattern-recognition logic essential to the reconstruction of particle interactions in liquid argon time projection chamber detectors. Pandora is the primary event reconstruction software used at ProtoDUNE-SP, a prototype for the Deep Underground Neutrino Experiment far detector. ProtoDUNE-SP, located at CERN, is exposed to a charged-particle test beam. This paper gives an overview of the Pandora reconstruction algorithms and how they have been tailored for use at ProtoDUNE-SP. In complex events with numerous cosmic-ray and beam background particles, the simulated reconstruction and identification efficiency for triggered test-beam particles is above 80% for the majority of particle type and beam momentum combinations. Specifically, simulated 1 GeV/c charged pions and protons are correctly reconstructed and identified with efficiencies of 86.1 ± 0.6 % and 84.1 ± 0.6 %, respectively. The efficiencies measured for test-beam data are shown to be within 5% of those predicted by the simulation
- …