Miracle-dz/UniFAR-FTUs huggingface dataset:
Towards Unsupervised Recognition of Dialogue Acts

When engaged in dialogues, people perform communicative actions to pursue specific communicative goals. Speech acts recognition attracted computational linguistics since long time and could impact considerably a huge variety of application domains. We study the task of automatic labeling dialogues with the proper dialogue acts, relying on empirical methods and simply exploiting lexical semantics of the utterances. In particular, we present some experiments in supervised and unsupervised framework on both an English and an Italian corpus of dialogue transcriptions. The evaluation displays encouraging results in both languages, especially in the unsupervised version of the methodology.
An Evaluation of an Integrated On-Chip/Off-Chip Network for High-Performance Reconfigurable Computing

As the number of cores per discrete integrated circuit (IC) device grows, the importance of the network on chip (NoC) increases. However, the body of research in this area has focused on discrete IC devices alone which may or may not serve the highperformance computing community which needs to assemble many of these devices into very large scale, parallel computing machines. This paper describes an integrated on-chip/off-chip network that has been implemented on an all-FPGA computing cluster. The system supports MPI-style point-to-point messages, collectives, and other novel communication. Results include the resource utilization and performance (in latency and bandwidth).
Optical evanescent wave methods for the study of biomolecular interactions

Implementation and regulation of the molecular mechanisms underlying biological processes is dependent on direct interactions between biological molecules. These interactions are characterised by specific binding between at least one molecule and another, and for binding to occur the molecules must be able to come close enough to each other to make contact. One of the partners in the interaction is invariably a macromolecule (e.g. protein or DNA) or an assembly of large size, such as a lipid bilayer. The interaction may take place with the partners in solution, or with at least one attached to a biological surface (e.g. a membrane) or a very large structure such as a chromosome. Where the partners are part of a membrane or other large structure then there must be a mechanism, such as lateral diffusion in the plane of the membrane, that permits them to come together close enough for interaction.
Senescence: developmental program or timetable?

Jansson, S. , Thomas, Howard (2008). Senescence: developmental program or timetable? New Phytologist, 179, (3), 575-579. Sponsorship: Swedish Research Council/Swedish Research Council for the Environment, Agricultural Sciences and Spatial Planning/Swedish Foundation for Strategic Research IMPF: 05.18
Buffering databse operations for enhanced instruction cache performance

As more and more query processing work can be done in main memory access is becoming a significant cost component of database operations. Recent database research has shown that most of the memory stalls are due to second-level cache data misses and first-level instruction cache misses. While a lot of research has focused on reducing the data cache misses, relatively little research has been done on improving the instruction cache performance of database systems.We first answer the question "Why does a database system incur so many instruction cache misses? " We demonstrate that current demand-pull pipelined query execution engines suffer from significant instruction cache thrashing between different operators. We propose techniques to buffer database operations during query execution to avoid instruction cache thrashing. We implement a new light-weight "buffer" operator and study various factors which may affect the cache performance. We also introduce a plan refinement algorithm that considers the query plan and decides whether it is beneficial to add additional "buffer" operators and where to put them. The benefit is mainly from better instruction locality and better hardware branch prediction. Our techniques can be easily integrated into current database systems without significant changes. Our experiments in a memory-resident PostgreSQL database system show that buffering techniques can reduce the number of instruction cache misses by up to 80% and improve query performance by up to 15%.
Genome Sequence of Streptomyces olindensis DAUFPE 5622, Producer of the Antitumoral Anthracycline Cosmomycin D

ABSTRACT Streptomyces olindensis DAUFPE 5622, which was isolated from a Brazilian soil sample, produces the antitumor anthracycline cosmomycin D. The genome sequence is 9.4 Mb in length, with a G+C content of 71%. Thirty-four putative secondary metabolite biosynthetic gene clusters were identified, including the cosmomycin D cluster.
Projection of Central and East European populations--the model the data and preliminary results.

Over the last decade the countries of Central and Eastern Europe (CEE) [Baltic States Belarus Ukraine Poland Czech Republic Slovakia Hungary Germany and Austria] have witnessed profound changes in the patterns of population development. In particular fertility has dropped mortality has increased internal migration in most countries has reduced and international migration has been soaring in particular at the end of the eighties and in [the] early nineties. The aim of the paper is to assess the scope of these changes within the regions and to investigate the potential demographic consequences of the changes. A multiregional and multilevel model is developed in order to make 15- and 30-year population projections for these countries with and without international migration using data for 1994. Particular attention is given to changes in age distribution and in the dependency burden. (EXCERPT)
Extensive chromatin fragmentation improves enrichment of protein binding sites in chromatin immunoprecipitation experiments

Extensive sonication of formaldehyde-crosslinked chromatin can generate DNA fragments averaging 200 bp in length (range 75–300 bp). Fragmentation is largely random with respect to genomic region and nucleosome position. ChIP experiments employing such extensively fragmented samples show 2- to 4-fold increased enrichment of protein binding sites over control genomic regions, when compared to samples sonicated to a more conventional size range (300–500 bp). The basis of improved fold enrichments is that immunoprecipitation of protein-bound regions is unaffected by fragment size, whereas immunoprecipitation of control genomic regions decreases progressively along with reduced fragment size due to fewer nonspecific binding sites. The use of extensively sonicated samples improves mapping of protein binding sites, and it extends the dynamic range for quantitative measurements of histone density. We show that many yeast promoter regions are virtually devoid of histones.
THE INITIAL FUNCTIONS IN A CASCADE ALGORITHM

In this paper we shall study the initial functions in a cascade algorithm in a Sobolev space. By investigating the mutual relations among the initial functions in a cascade algorithm, we are able to study in a relatively unified approach several questions related to cascade algorithms and subdivision schemes in a Sobolev space W k p (Rs) (1 6 p 6∞, k ∈ N∪{0}) such as convergence, error estimate and convergence rate of cascade algorithms and subdivision schemes in a Sobolev space with a general isotropic dilation matrix. The approach in this paper can also be used to study vector cascade algorithms and vector subdivision schemes with a dilation matrix in a multidimensional space.
Leakage power reduction of embedded memories on FPGAs through location assignment

Transistor leakage is poised to become the dominant source of power dissipation in digital systems, and reconfigurable devices are not immune to this problem. Modern FPGAs already have a significant amount of memory on the die, and with each generation the proportion of embedded memory to logic cells is growing. While assigning high Vth can limit the leakage power, embedded memory timing is critical to performance and draws an increasingly significant amount of leakage current. However, unlike in many processor based systems, on-chip memory accesses are often fully deterministic and completely under the control of the scheduler. In this paper we explore a variety of techniques to battle the problem of leakage in FPGA embedded memories that range in complexity and effectiveness. Through the addition of sleep and drowsy modes, controlled by the scheduler, the amount of leakage power can be reduced by several orders of magnitude. We show how even very simple schemes offer large amounts of benefit, and that further reductions are possible through careful leakage-aware data placement
Tryptophan promotes charitable donating

The link between serotonin (5-HT) and one of the most important elements of prosocial behavior, charity, has remained largely uninvestigated. In the present study, we tested whether charitable donating can be promoted by administering the food supplement L-Tryptophan (TRP), the biochemical precursor of 5-HT. Participants were compared with respect to the amount of money they donated when given the opportunity to make a charitable donation. As expected, compared to a neutral placebo, TRP appears to increase the participants’ willingness to donate money to a charity. This result supports the idea that the food we eat may act as a cognitive enhancer modulating the way we think and perceive the world and others.
GIBS block speller: Toward a gaze-independent P300-based BCI

Brain-computer interface (BCI) opens a new communication channel for individuals with severe motor disorders. In P300-based BCIs, gazing the target event plays an important role in the BCI performance. Individuals who have their eye movements affected may lose the ability to gaze targets that are in the visual periphery. This paper presents a novel P300-based paradigm called gaze independent block speller (GIBS), and compares its performance with that of the standard row-column (RC) speller. GIBS paradigm requires extra selections of blocks of letters. The online experiments made with able-bodied participants show that the users can effectively control GIBS without moving the eyes (covert attention), while this task is not possible with RC speller. Furthermore, with overt attention, the results show that the improved classification accuracy of GIBS over RC speller compensates the extra selections, thereby achieving similar practical bit rates.
Analytical macromodeling for high-level power estimation

This paper presents a new macromodeling technique for high-level power estimation. Our technique is based on a parameterizable analytical model that relies exclusively on statistical information of the circuit's primary inputs. During estimation, the statistics of the required metrics are extracted from the input stream, and a power estimate is obtained by evaluating a model function that has been characterized in advance. Our model yields power estimates within seconds, because it does not rely on the statistics of the circuit's primary outputs and, consequently, does not perform any simulation during estimation. Moreover, it achieves better accuracy than previous macromodeling approaches by taking into account both spatial and temporal correlations in the input stream. In experiments with the ISCAS-85 combinational circuits, the average absolute relative error of our power macromodeling technique was at most 1.8%. The worst-case error was at most 12.8%. For a ripple-carry adder family, in comparison with power estimates that were obtained using Spice, the average absolute and worst-case errors of our model's estimates were at most 5.1% and 19.8%, respectively. In addition to power dissipation, our macromodeling technique can be used to estimate the statistics of a circuit's primary outputs with very low average errors. It is thus suitable for power estimation in core-based systems with pre-characterized blocks. Once the metrics of the primary inputs are known, the power dissipation of the entire system can be estimated by simply propagating this information through the blocks using their corresponding model functions.
SDP Gaps and UGC Hardness for Multiway Cut , 0-Extension and Metric Labelling

The connection between integrality gaps and computational hardness of discrete optimization problems is an intriguing question. In recent years, this connection has prominently figured in several tight UGC-based hardness results. We show in this paper a direct way of turning integrality gaps into hardness results for several fundamental classification problems. Specifically, we convert linear programming integrality gaps for the Multiway Cut, 0-Extension and Metric Labeling problems into UGC-based hardness results. Qualitatively, our result suggests that if the unique games conjecture is true then a linear relaxation of the latter problems studied in several papers (so-called earthmover linear program) yields the best possible approximation. Taking this a step further, we also obtain integrality gaps for a semi-definite programming relaxation matching the integrality gaps of the earthmover linear program. Prior to this work, there was an intriguing possibility of obtaining better approximation factors for labeling problems via semi-definite programming.
1 Liquid Business Process Model Collections

Many organizations realize that increasing amounts of data (“Big Data”) need to be dealt with intelligently in order to compete with other organizations in terms of efficiency, speed and services. The goal is not to collect as much data as possible, but to turn event data into valuable insights that can be used to improve business processes. However, data-oriented analysis approaches fail to relate event data to process models. At the same time, large organizations are generating piles of process models that are disconnected from the real processes and information systems. These models are often just used for documentation and discussion. Even in more mature organizations using analysis techniques like simulation, models are often not connected to event data. In this chapter we propose to manage large collections of process models and event data in an integrated manner. Observed and modeled behavior need to be continuously compared and aligned. This results in a “liquid” business process model collection, i.e. a collection of process models that is in sync with the actual organizational behavior. The collection should self-adapt to evolving organizational behavior and incorporate relevant execution data (e.g.
Etiology of Diarrhea in Pediatric Outpatient Settings

Background: The frequency with which bacteria cause diarrhea evaluated in ambulatory settings is often unknown. We attempted to determine the microbiologic etiology of diarrhea in a private pediatric practice (site A) and a clinic serving largely immigrant children (site B) and to establish guidelines for bacterial culture. Methods: Children with diarrhea were prospectively enrolled, and their stools were examined for diarrheagenic bacteria, viruses and parasites. Results: A total of 123 and 103 children were enrolled at sites A and B, respectively. Stools from all (100%), 126 (55.8%), 104 (46.0%) and 75 (33.2%) were tested for bacterial enteric pathogens, parasites, Clostridium difficile toxin and viruses, respectively. Of the 75 patients whose stool underwent complete testing, 36 (48%) contained at least 1 definitive or plausible pathogen. Twelve stools (5.3%) tested positive for bacteria [Campylobacter jejuni (n = 7), Yersinia enterocolitica, Shigella flexneri, Shigella sonnei, Salmonella serogroup D and Salmonella Braenderup (n = 1 each)]. One contained Blastocystis hominis, 8 contained C. difficile toxin and 16 contained viruses (9 rotavirus, 5 adenovirus and 2 astrovirus). Visible fecal blood (P = 0.029), increased stool frequency (P = 0.035), abdominal tenderness (P = 0.011) and fecal white (P < 0.001) or red blood cells (P = 0.002) were associated with bacterial infection. All children with stool yielding diarrheagenic bacteria or C. difficile toxin had at least 1 of these factors, but so did 75% of children without these agents (positive predictive value, 11%; negative predictive value, 100%; sensitivity, 100%; specificity, 25%). Conclusions: The bacterial diarrhea prevalence is similar to that in other ambulatory studies, although the spectrum differs. Exclusion criteria for stool testing in diarrhea remain elusive. Studies to determine the etiology of unexplained diarrhea and cost-effective algorithms for diarrhea diagnosis, are needed.
An approach to XML Path retrieval

Both of XML document and user's query are represented by the set of paths from the root node to leaf nodes. So the context and content information contained in the corresponding path is a vital important clue to research XML retrieval. This paper presents an approach, NPathSim, for measuring similarity between two paths. XML Path retrieval was performed to evaluate the performance of NPathSim. The experiments show that our path retrieval method can achieve better performance than other methods.
Asymptotically Stable Walking of a Five-Link Underactuated 3-D Bipedal Robot

This paper presents three feedback controllers that achieve an asymptotically stable, periodic, and fast walking gait for a 3-D bipedal robot consisting of a torso, revolute knees, and passive (unactuated) point feet. The walking surface is assumed to be rigid and flat; the contact between the robot and the walking surface is assumed to inhibit yaw rotation. The studied robot has 8 DOF in the single support phase and six actuators. In addition to the reduced number of actuators, the interest of studying robots with point feet is that the feedback control solution must explicitly account for the robot's natural dynamics in order to achieve balance while walking. We use an extension of the method of virtual constraints and hybrid zero dynamics (HZD), a very successful method for planar bipeds, in order to simultaneously compute a periodic orbit and an autonomous feedback controller that realizes the orbit, for a 3-D (spatial) bipedal walking robot. This method allows the computations for the controller design and the periodic orbit to be carried out on a 2-DOF subsystem of the 8-DOF robot model. The stability of the walking gait under closed-loop control is evaluated with the linearization of the restricted Poincare map of the HZD. Most periodic walking gaits for this robot are unstable when the controlled outputs are selected to be the actuated coordinates. Three strategies are explored to produce stable walking. The first strategy consists of imposing a stability condition during the search of a periodic gait by optimization. The second strategy uses an event-based controller to modify the eigenvalues of the (linearized) Poincare map. In the third approach, the effect of output selection on the zero dynamics is discussed and a pertinent choice of outputs is proposed, leading to stabilization without the use of a supplemental event-based controller.
Robust Monocular Flight in Cluttered Outdoor Environments

Recently, there have been numerous advances in the development of biologically inspired lightweight Micro Aerial Vehicles (MAVs). While autonomous navigation is fairly straight-forward for large UAVs as expensive sensors and monitoring devices can be employed, robust methods for obstacle avoidance remains a challenging task for MAVs which operate at low altitude in cluttered unstructured environments. Due to payload and power constraints, it is necessary for such systems to have autonomous navigation and flight capabilities using mostly passive sensors such as cameras. In this paper, we describe a robust system that enables autonomous navigation of small agile quad-rotors at low altitude through natural forest environments. We present a direct depth estimation approach that is capable of producing accurate, semi-dense depth-maps in real time. Furthermore, a novel wind-resistant control scheme is presented that enables stable way-point tracking even in the presence of strong winds. We demonstrate the performance of our system through extensive experiments on real images and field tests in a cluttered outdoor environment.
The ELISA consortium approaches in broadcast news speaker segmentation during the NIST 2003 rich transcription evaluation

The paper presents the ELISA consortium activities in automatic speaker segmentation, also known as speaker diarization, during the NIST rich transcription (RT), 2003, evaluation. The experiments were conducted on real broadcast news data (HUB4). Two different approaches from the CLIPS and LIA laboratories are presented and different possibilities of combining them are investigated, in the framework of the ELISA consortium. The system submitted as an ELISA primary system obtained the second lowest segmentation error rate compared to the other RT03-participant primary systems. Another ELISA system submitted as a secondary system outperformed the best primary system and obtained the lowest speaker segmentation error rate.
Effect of Candidatus Liberibacter asiaticus infection on susceptibility of Asian citrus psyllid, Diaphorina citri, to selected insecticides.

BACKGROUND In the present investigation, the effect of Candidatus Liberibacter asiaticus (Las), a bacterium considered to be responsible for causing huanglongbing (HLB) disease in citrus, on the physiology of its vector, the Asian citrus psyllid (ACP) Diaphorina citri Kuwayama, was determined. Specifically, the effects of Las infection on the susceptibility of ACP to selected insecticides were determined. Furthermore, total protein content and general esterase activity were quantified in Las-infected and uninfected ACP to gain insight into the possible mechanism(s) responsible for altered susceptibility to insecticides owing to Las infection. RESULTS LC(50) values were significantly lower in Las-infected than in uninfected ACP adults for chlorpyrifos and spinetoram. Furthermore, there was a general trend towards lower LC(50) values for three other insecticides for Las-infected ACP; however, the differences were not statistically significant. Total protein content (µg mL(-1)) was significantly lower in Las-infected (23.5 ± 1.3 in head + thorax; 27.7 ± 1.9 in abdomen) than in uninfected (29.7 ± 2.1 in head + thorax; 35.0 ± 2.3 in abdomen) ACP. Likewise, general esterase enzyme activity (nmol min(-1) mg(-1) protein) was significantly lower in Las-infected (111.6 ± 4.5 in head + thorax; 109.5 ± 3.7 in abdomen) than in uninfected (135.9 ± 7.5 in head + thorax; 206.1 ± 23.7 in abdomen) ACP. CONCLUSION Susceptibility of ACP to selected insecticides from five major chemistries was greater in Las-infected than in uninfected ACP. The lower total protein content and reduced general esterase activity in Las-infected than in uninfected ACP may partly explain the observed higher insecticide susceptibility of Las-infected ACP.
A Focused Scanning Vertical Beam for Charged Particle Irradiation of Living Cells with Single Counted Particles

The Surrey vertical beam is a new facility for targeted irradiation of cells in medium with singly counted ions. A duo-plasmatron ion source and a 2 MV Tandem™ accelerator supply a range of ions from protons to calcium for this beamline and microscope endstation, with energy ranges from 0.5 to 12 MeV. A magnetic quadrupole triplet lens is used to focus the beam of ions. We present the design of this beamline, and early results showing the capability to count single ions with 98% certainty on CR-39 track etch. We also show that the beam targeting accuracy is within 5 μm and selectively target human fibroblasts with a <5 μm carbon beam, using γ-H2AX immunofluorescence to demonstrate which cell nuclei were irradiated. We discuss future commissioning steps necessary to achieve submicron targeting accuracy with this beamline.