Miracle-dz/UniFAR-FTUs huggingface dataset:
Interactively visualizing procedurally encoded scalar fields

While interactive visualization of rectilinear gridded volume data sets can now be accomplished using texture mapping hardware on commodity PCs, interactive rendering and exploration of large scattered or unstructured data sets is still a challenging problem. We have developed a new approach that allows the interactive rendering and navigation of procedurally-encoded 3D scalar fields by reconstructing these fields on PC class graphics processing units. Since the radial basis functions (RBFs) we use for encoding can provide a compact representation of volumetric scalar fields, the large grid/mesh traditionally needed for rendering is no longer required and ceases to be a data transfer and computational bottleneck during rendering. Our new approach will interactively render RBF encoded data obtained from arbitrary volume data sets, including both structured volume models and unstructured scattered volume models. This procedural reconstruction of large data sets is flexible, extensible, and can take advantage of the Moore's Law cubed increase in performance of graphics hardware.
Phosphorylation and subcellular redistribution of high mobility group proteins 14 and 17, analyzed by mass spectrometry

High mobility group (HMG) proteins 14 and 17 are nonhistone nuclear proteins that have been implicated in control of transcription and chromatin structure. To examine the posttranslational modifications of HMG‐14 and ‐17 in vivo, HMG proteins were prepared from nuclear vs. cytosolic fractions of human K562 cells treated with 12‐O‐tetradecanoylphorbol 13‐acetate (TPA) or okadaic acid (OA) and examined by electrospray mass spectrometry. Analysis of full‐length masses demonstrated mono‐, di‐, and triphosphorylation of HMG‐14 and mono‐ and diphosphorylation of HMG‐17 from OA treated cells, whereas HMG‐14 and ‐17 from TPA treated cells were monophosphorylated. Peptide mass and sequence analysis showed major and minor phosphorylation sites, respectively, at Ser24 and Ser28 in HMG‐17, and Ser20 and Ser24 in HMG‐14. These sites were found in the consensus sequence RRSARLSAK, within the nucleosomal binding domain of each protein. A third phosphorylation site in HMG‐14 was located at either Ser6 or Ser7. Interestingly, the proportion of HMG‐14 and ‐17 found in cytosolic pools increased significantly after 1 h of treatment compared to control cells and showed preferential phosphorylation compared with proteins from nuclear fractions. These results suggest that phosphorylation of HMG‐14 and ‐7 interferes with nuclear localization mechanisms in a manner favoring release from nuclei.
Extracting Entailing Words from Small Corpora for Ontology Building

This paper explores the extraction of conceptual clusters from a small corpus, given user-defined seeds. We use the distributional similarity hypothesis (Harris, 1968) to gather similar terms, using semantic features as context. We attempt to preserve both precision and recall by using a bootstrapping algorithm with reliability calculations proposed by Pantel and Pennacchiotti (2006). Precision of up to 78% is achieved for our best query over a 16MB corpus. We find, however, that results are dependent on initial settings and propose a partial solution to automatically select appropriate seeds.
An Algorithm to Identify Compounded Non-Sterile Products that Can Be Formulated on a Commercial Scale or Imported to Promote Safer Medication Use in Children

The lack of commercially-available pediatric drug products and dosage forms is well-known. A group of clinicians and scientists with a common interest in pediatric drug development and medicines-use systems developed a practical framework for identifying a list of active pharmaceutical ingredients (APIs) with the greatest market potential for development to use in pediatric patients. Reliable and reproducible evidence-based drug formulations designed for use in pediatric patients are needed vitally, otherwise safe and consistent clinical practices and outcomes assessments will continue to be difficult to ascertain. Identification of a prioritized list of candidate APIs for oral formulation using the described algorithm provides a broader integrated clinical, scientific, regulatory, and market basis to allow for more reliable dosage forms and safer, effective medicines use in children of all ages. Group members derived a list of candidate API molecules by factoring in a number of pharmacotherapeutic, scientific, manufacturing, and regulatory variables into the selection algorithm that were absent in other rubrics. These additions will assist in identifying and categorizing prime API candidates suitable for oral formulation development. Moreover, the developed algorithm aids in prioritizing useful APIs with finished oral liquid dosage forms available from other countries with direct importation opportunities to North America and beyond.
Content Ordering in the Generation of Persuasive Discourse

A framework is summarized which supports the planning of natural language argument structure. One key aspect of natural argument is the order in which components are presented. This is in part responsible for both the coherency and persuasive effect of an argument. One means of effecting such ordering is proposed, and an overview is provided of the various classes of ordering heuristics. These heuristics are based upon insights offered by rhetoric texts, psychological research, and a corpus study. Finally, it is demonstrated that such an approach can also contribute to the generation of surface textual features including formatting, punctuation and clue words.
Lutyens's Cenotaph

The Cenotaph was one of a number of temporary structures erected on the route of the Peace Day Parade in London on 19 July 1919 to officially celebrate the end of World War I. Immediately after the unveiling ceremony, the base of the memorial was covered with flowers. For weeks after the parade there were queues of people waiting to place wreaths there. Pressure from the public to retain this memorial mounted. By the end of July the cabinet decided to recreate the structure in permanent materials and designate it Britain9s official war memorial. This is a rare example of public acclaim for a design and of government acknowledging and responding to this expression of approval. The paper describes the history of the Cenotaph, charts the development of the design, and attempts to understand why it evokes such a positive public response.
Designing an affordable usability test for E-learning modules.

ABSTRACT: This article provides background and an introduction to a user-centered design and usability test in an inexpensive format that allows content experts who are novices in e-learning development to perform testing on newly developed technical training modules prior to their release. The use of a small number of test participants, avoidance of elaborate testing laboratories, and the establishment of clear, concise objectives with a detailed test outline are supported by the discount usability testing approach. This approach reduces testing cost, provides faster results, and yields a more successful product and increased customer satisfaction. Discount usability testing should have broad appeal to new e-learning developers as a final step before releasing their newly developed training modules.
On the design of CMFB transceivers for unknown channels

In this paper, we consider the cosine modulated filter bank (CMFB) transceiver for unknown channels. Although it is a CMFB transceiver, the only channel dependent part of the transceiver is a set of scalar multipliers at the receiver, like the OFDM. We show how to optimize the transmit and receive prototype filters so that the signal to interference ratio (SIR) is maximized. Moreover a new objective function that can incorporate the frequency response criteria is proposed. Simulation results show that we can obtain CMFB transceivers with high SIR values and good frequency responses
Computational approach for edge linking

EÆcient edge operators such as those based on partial derivatives fail to return continuous edge maps. To address this, a supplementary edge linking step is required to complete the initial edge information. In this paper we propose a fast and eÆcient algorithm for edge linking using the local information around edge terminators. In order to minimise incorrect linking decisions, the direction and the linking path for each edge terminator is established by minimising a cost function. The particular novelty of this approach lies in the labelling scheme which assigns the directionality of the edge terminators (endpoints) based only on local knowledge. As a consequence, it relaxes the demand of a priori knowledge and furthermore assures an accurate and eÆcient search for edge paths in the image.
Robotic Societies: Elements of Learning by Imitation

Imitation enables the individuals to acquire new abilities, and encourages social interaction and cultural transfer. The capability to obtain new abilities by observation represents many important advantages. Although imitation intends to equip robots with social skills, most of the approaches so far only focus on the development of a mechanism to imitate, and other issues that contribute to the whole process of imitation are usually ignored. This paper presents the major elements that are embedded in the process of imitation, and aims to offer a complete framework to address imitation. Experimental results at the first stage with the framework are presented, as well as results using attention process into the perception process.
Mononuclear Cells From Human Lung Parenchyma Support Antigen‐Induced T Lymphocyte Proliferation

We have previously demonstrated that there is a subpopulation of loosely adherent pulmonary mononuclear cells that can be isolated from minced and enzyme‐digested lung tissue with a potent capacity to stimulate allogeneic T lymphocyte proliferation. We now demonstrate that these cells are also capable of stimulating an autologous mixed leukocyte reaction (AMLR) and presenting antigen to autologous T lymphocytes. These loosely adherent mononuclear cells (LAM) were more effective than either alveolar macrophages or monocytes as antigen‐presenting cells. Depletion of phagocytic or Fc receptor‐positive cells from the LAM population enhanced the stimulation of an reaction AMLR while preserving antigen‐induced T lymphocyte proliferation. These results indicate that there are nonphagocytic, Fc receptor‐negative accessory cells in human lung parenchyma capable of activating resting T cells in an AMLR and supporting antigen‐specific T lymphocyte proliferation. The identity of these cells is uncertain, but the data strongly suggest that the cell is not a classical monocyte‐derived macrophage. These antigen‐presenting cells may be critical in the initiation of immune responses within the lung.
Optimal Relaying in Heterogeneous Delay Tolerant Networks

In Delay Tolerant Networks (DTNs), there exists only intermittent connectivity between communication sources and destinations. In order to provide successful communication services for these challenged networks, a variety of relaying and routing algorithms have been proposed with the assumption that nodes are homogeneous in terms of contact rate and delivery cost. However, various applications of DTN have shown that mobile nodes can be divided into different classes in terms of their energy requirements and communication ability, and real application data have revealed the heterogeneous contact rates between node pairs. In this paper, we design an optimal relaying scheme for DTNs, which takes into account nodes' heterogeneous contact rates and delivery costs when selecting relays to minimise the delivery cost while satisfying the required message delivery probability. Extensive results based on real traces demonstrate that our relaying scheme requires the least delivery cost and achieves the largest maximum delivery probability, compared with the schemes that neglect nodes' heterogeneity.
A Dependency Treebank of the Quran using traditional Arabic grammar

The Quran is a significant religious text, followed by the 1.5 billion believers of the Islamic faith worldwide. The text dates to 610–632 CE and is written in Quranic Arabic, the direct ancestor language of modern standard Arabic in use today. This paper presents the Quranic Arabic Dependency Treebank (QADT) and reports on the approaches and solutions used to apply Natural Language Processing to the unique and challenging language of the Quran. This project differs from other Arabic treebanks by providing a deep computational linguistic model based on historical traditional Arabic grammar($$$$). The treebank is part of the Quranic Arabic Corpus (http://corpus.quran.com), a popular free Arabic resource developed at the University of Leeds. Motivated by the importance of the Quran as a central religious text, we also report on how online collaborative annotation was used to bring together Quranic scholars and Arabic language experts to ensure a high level of accuracy for grammatical analysis of the entire Quran.
From Databases to Graph Visualization

The first step of any information visualization system is to enable end user to import their dataset into the system. However, non expert user are faced to the difficult task of choosing how their data should/could be transform to be used in these Infovis systems. In that paper we address the case where end users want to use dataset in tabular format. We propose a novel method for automatic graph generation from these datasets. That method consists in first building taxonomy of dimensions. Then, that taxonomy is used to provide to user a system that enables to interactively navigate into the set of possible data transformation.
An Experimental Comparison of Acceleration Schemes for Densely Occluded Environments

This paper presents a comparative study of acceleration schemes for global illumination and ray tracing in large buildings. The system implemented relies on a memory-coherent ray shooting architecture. The scene is subdivided into cells, corresponding either to rooms when the information is available, or to voxels obtained with a uniform grid subdivision. Inside each cell an additional acceleration data structure is placed. Regular grids, multi-grids or kd-trees have been used with various parameters. We discuss the criteria for constructing different acceleration data structures as well as their advantages and drawbacks.
Phase 1 Trial of Malaria Transmission Blocking Vaccine Candidates Pfs25 and Pvs25 Formulated with Montanide ISA 51

Background Pfs25 and Pvs25, surface proteins of mosquito stage of the malaria parasites P. falciparum and P. vivax, respectively, are leading candidates for vaccines preventing malaria transmission by mosquitoes. This single blinded, dose escalating, controlled Phase 1 study assessed the safety and immunogenicity of recombinant Pfs25 and Pvs25 formulated with Montanide ISA 51, a water-in-oil emulsion. Methodology/Principal Findings The trial was conducted at The Johns Hopkins Center for Immunization Research, Washington DC, USA, between May 16, 2005–April 30, 2007. The trial was designed to enroll 72 healthy male and non-pregnant female volunteers into 1 group to receive adjuvant control and 6 groups to receive escalating doses of the vaccines. Due to unexpected reactogenicity, the vaccination was halted and only 36 volunteers were enrolled into 4 groups: 3 groups of 10 volunteers each were immunized with 5 µg of Pfs25/ISA 51, 5 µg of Pvs25/ISA 51, or 20 µg of Pvs25/ISA 51, respectively. A fourth group of 6 volunteers received adjuvant control (PBS/ISA 51). Frequent local reactogenicity was observed. Systemic adverse events included two cases of erythema nodosum considered to be probably related to the combination of the antigen and the adjuvant. Significant antibody responses were detected in volunteers who completed the lowest scheduled doses of Pfs25/ISA 51. Serum anti-Pfs25 levels correlated with transmission blocking activity. Conclusion/Significance It is feasible to induce transmission blocking immunity in humans using the Pfs25/ISA 51 vaccine, but these vaccines are unexpectedly reactogenic for further development. This is the first report that the formulation is associated with systemic adverse events including erythema nodosum. Trial Registration ClinicalTrials.gov NCT00295581
BABAZ: A large scale audio search system for video copy detection

This paper presents BABAZ, an audio search system to search modified segments in large databases of music or video tracks. It is based on an efficient audio feature matching system which exploits the reciprocal nearest neighbors to produce a per-match similarity score. Temporal consistency is taken into account based on the audio matches, and boundary estimation allows the precise localization of the matching segments. The method is mainly intended for video retrieval based on their audio track, as typically evaluated in the copy detection task of TRECVID evaluation campaigns. The evaluation conducted on music retrieval shows that our system is comparable to a reference audio fingerprinting system for music retrieval, and significantly outperforms it on audio-based video retrieval, as shown by our experiments conducted on the dataset used in the copy detection task of TRECVID'2010 campaign.
Real-Time Identification Using Gait Pattern Analysis on a Standalone Wearable Accelerometer

Wearable devices can gather sensitive information about their users. For this reason, automated authentication and identification techniques are increasingly adopted to ensure security and privacy. Furthermore, identification can be used to automatically customize operations according to the needs of the current user. A gait-based identification method that can be executed in real time on devices with limited resources is here presented. The method exploits a wearable accelerometer to continuously analyze the user’s gait pattern and perform identification. Experiments were conducted with ten volunteers, who carried the device in a trouser pocket and followed their daily routine without predefined constraints. In total, ∼ 98 hours of acceleration traces were collected in uncontrolled environment, including 3073 gait segments. User identification results show a recognition rate ranging from 95% to 100%, depending on the mode of operation. It is demonstrated that the method can be executed on a standalone device with less than 8 KB of RAM. In addition, the energy consumption is evaluated and compared with an architecture that requires the presence of an external computing unit. Results show that the proposed solution significantly improves the lifetime of the device (approximately +70% for the considered platform), hence fostering user acceptance.
Surveillance of 3′ Noncoding Transcripts Requires FIERY1 and XRN3 in Arabidopsis

Eukaryotes possess several RNA surveillance mechanisms that prevent undesirable aberrant RNAs from accumulating. Arabidopsis XRN2, XRN3, and XRN4 are three orthologs of the yeast 5′-to-3′ exoribonuclease, Rat1/Xrn2, that function in multiple RNA decay pathways. XRN activity is maintained by FIERY1 (FRY1), which converts the XRN inhibitor, adenosine 3′, 5′-bisphosphate (PAP), into 5′AMP. To identify the roles of XRNs and FRY1 in suppression of non-coding RNAs, strand-specific genome-wide tiling arrays and deep strand-specific RNA-Seq analyses were carried out in fry1 and xrn single and double mutants. In fry1-6, about 2000 new transcripts were identified that extended the 3′ end of specific mRNAs; many of these were also observed in genotypes that possess the xrn3-3 mutation, a partial loss-of-function allele. Mutations in XRN2 and XRN4 in combination with xrn3-3 revealed only a minor effect on 3′ extensions, indicating that these genes may be partially redundant with XRN3. We also observed the accumulation of 3′ remnants of many DCL1-processed microRNA (miRNA) precursors in fry1-6 and xrn3-3. These findings suggest that XRN3, in combination with FRY1, is required to prevent the accumulation of 3′ extensions that arise from thousands of mRNA and miRNA precursor transcripts.
Improving egocentric vision of daily activities

In this paper, we investigates the interplay between scene and objects on daily activities under egocentric vision constraints. The nature of egocentric vision implies that the identity of the current scene remains consistent for several frames. We showed that this constraint can be used to improve several scene identification baselines including the current state of the art scene identification method. We also show that the scene identity can be used to improve the object detection. In generic object detection, models for objects typically only considers local context, ignoring the global scene context; however in daily activities, objects are typically associated to particular types of scenes. We exploited this context clue to re-score the object detectors. Re-scoring function is learned from scene classifiers and object detectors in a validation set. In testing time, models of objects are weighted according to the scene identity score (context) of the tested frame, improving the object detection as measured by mAP, respect to object detectors without the scene identity clue. Our experiments were performed in the Activities of Daily Living (ADL) public dataset [1] which is a standard benchmark for egocentric vision.
SuperGlue: Standardizing Glue Components for HPC Workflows

This poster describes our work on SuperGlue, a set of generic, reusable components for composing scientific workflows. These are distributed data analysis and manipulation tools that can be chained together to form a variety of real-time workflows providing analytical results during the execution of the primary scientific code. Unlike existing components used in IAWs, SuperGlue components do not have a fixed data type. This one change enables using these components on completely different kinds of simulations that share nothing in their output format. Key to making this work is using a typed transport mechanism between different components. Many options exist for these transports and the particular mechanism selected is not critical.
Personal Recognition Rate Improvement Using Head-Top Image and An Application to Walking Subject

A personal identification method using head-top image is improved for the smart house. The personal recognition rate was 86.4 percent in the previous report from eleven subjects who stood still. It was improved to 100 percent in this study by using the same image database of the previous report. Moreover, head-top image sequences were acquired when the subjects under the thermo camera started walking, and the personal recognition rate was 52 percent from six subjects
HAMA: A Herd-Movement Adaptive MAC Protocol for Wireless Sensor Networks

In this paper we propose HAMA, i.e. a herd-movement adaptive medium access control protocol suitable for wireless sensor networks with mobile nodes. The specific focus of HAMA is wildlife monitoring applications, in which network protocol is required to adapt to the movement patterns of herds to make the communication more energy-efficient and reliable. The protocol is an extension of preamble sampling scheme with an adaptive sleep-interval based on network traffic conditions. We have implemented and evaluated HAMA on Contiki Cooja platform. Our simulation results show 22.28%-52.28% reduction of average network energy consumption as well as 11.65%-14.63% reduction of average end-to-end latency when HAMA is compared with A-MAC and X- MAC. The overall packet reliability of the gateway node(s) is also increased by up to 16.3%.