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~Eν∼3.5E_\nu \sim 3.5 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