Miracle-dz/UniFAR-FTUs huggingface dataset:
Temporary Seismic Stations Installation and Building Damage Assessment of December 7th, 2016 Earthquake in Pidie Jaya, Aceh, Indonesia

A signicant Mw 6.5 earthquake occurred in Pidie Jaya, Aceh on December 7th, 2016. The event affected 104 people death and more than 1000 people suered injuries due to the rubble of the building. Geologically, the region is composed by of Quaternary alluvial deposits. This is one of factor that amplication occurred in some area. On the other hand, an understanding of the source and mechanism of the earthquake needs to be done. A few days after the earthquake, we deployed 9 seismometers that covered the area of Pidie, Pidie Jaya and Bireuen. This experiment aims to record the aftershock and understanding of earthquake source and mechanism. In addition, we conducted building damage survey to know the pattern of distribution of building damage.
Information fusion of wavelet projection features for face recognition

This paper proposes a novel feature extraction method for face recognition in the wavelet domain called wavelet projection entropy (WPE). First, the projection entropy features from each wavelet subband are computed along the vertical and horizontal direction after the division. Then information fusion scheme is applied to integrate results obtained from each subband. Experiments show that WPE can extract the meaningful information from the wavelet domain. Meanwhile the decision level fusion achieves the best recognition rate among the three common information fusion methods. The proposed algorithms are validated on ORL and Yale face database for different pose and expression changes analysis. Detailed comparisons with previous published results are provided and it shows that our proposed algorithm performs very well.
Predicting gene regulation by sigma factors in Bacillus subtilis from genome-wide data

MOTIVATION Sigma factors regulate the expression of genes in Bacillus subtilis at the transcriptional level. We assess the accuracy of a fold-change analysis, Bayesian networks, dynamic models and supervised learning based on coregulation in predicting gene regulation by sigma factors from gene expression data. To improve the prediction accuracy, we combine sequence information with expression data by adding their log-likelihood scores and by using a logistic regression model. We use the resulting score function to discover currently unknown gene regulations by sigma factors. RESULTS The coregulation-based supervised learning method gave the most accurate prediction of sigma factors from expression data. We found that the logistic regression model effectively combines expression data with sequence information. In a genome-wide search, highly significant logistic regression scores were found for several genes whose transcriptional regulation is currently unknown. We provide the corresponding RNA polymerase binding sites to enable a straightforward experimental verification of these predictions.
Where's the smartness of learning in smart territories?

In the future smarter territories are expected to induce transformations of many aspects of the learning processes, but how their smartness is and will be related to that of the learning ecosystems ? In this paper, by means of Principal Component Analysis, we critically analyse methods presently used to benchmark and produce University rankings, by focusing on the case study of the Italian Universities. The outcomes of such analysis allow us to demonstrate the existence of a strong correlation between smart cities’ and universities’ rankings, i.e. between learning ecosystems and their territories of reference. Present benchmarking approaches, however, need to take in more consideration people feelings and expectations. Accordingly we suggest an innovative point of view on the benchmarking of learning ecosystems based, also, on the so called flow.
HPV Population Profiling in Healthy Men by Next-Generation Deep Sequencing Coupled with HPV-QUEST

Multiple-type human papillomaviruses (HPV) infection presents a greater risk for persistence in asymptomatic individuals and may accelerate cancer development. To extend the scope of HPV types defined by probe-based assays, multiplexing deep sequencing of HPV L1, coupled with an HPV-QUEST genotyping server and a bioinformatic pipeline, was established and applied to survey the diversity of HPV genotypes among a subset of healthy men from the HPV in Men (HIM) Multinational Study. Twenty-one HPV genotypes (12 high-risk and 9 low-risk) were detected in the genital area from 18 asymptomatic individuals. A single HPV type, either HPV16, HPV6b or HPV83, was detected in 7 individuals, while coinfection by 2 to 5 high-risk and/or low-risk genotypes was identified in the other 11 participants. In two individuals studied for over one year, HPV16 persisted, while fluctuations of coinfecting genotypes occurred. HPV L1 regions were generally identical between query and reference sequences, although nonsynonymous and synonymous nucleotide polymorphisms of HPV16, 18, 31, 35h, 59, 70, 73, cand85, 6b, 62, 81, 83, cand89 or JEB2 L1 genotypes, mostly unidentified by linear array, were evident. Deep sequencing coupled with HPV-QUEST provides efficient and unambiguous classification of HPV genotypes in multiple-type HPV infection in host ecosystems.
Electronic Reprint Biological Crystallography Electronic Ligand Builder and Optimization Workbench (elbow ): a Tool for Ligand Coordinate and Restraint Generation Biological Crystallography Electronic Ligand Builder and Optimization Workbench (elbow): a Tool for Ligand Coordinate and Restraint Gener

permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are cited. Acta Crystallographica Section D: Biological Crystallography welcomes the submission of papers covering any aspect of structural biology, with a particular emphasis on the structures of biological macromolecules and the methods used to determine them. Reports on new protein structures are particularly encouraged, as are structure–function papers that could include crystallographic binding studies, or structural analysis of mutants or other modified forms of a known protein structure. The key criterion is that such papers should present new insights into biology, chemistry or structure. Papers on crystallographic methods should be oriented towards biological crystallography, and may include new approaches to any aspect of structure determination or analysis. The electronic Ligand Builder and Optimization Workbench (eLBOW) is a program module of the PHENIX suite of computational crystallographic software. It is designed to be a flexible procedure that uses simple and fast quantum-chemical techniques to provide chemically accurate information for novel and known ligands alike. A variety of input formats and options allow the attainment of a number of diverse goals including geometry optimization and generation of restraints.
Dynamic stability of a mobile manipulating unmanned aerial vehicle

This paper presents a control scheme to achieve dynamic stability in an aerial vehicle with dual multi-degree of freedom manipulators. Arm movements assist with stability and recovery for ground robots, in particular humanoids and dynamically balancing vehicles. However, there is little work in aerial robotics where the manipulators themselves facilitate flight stability or the load mass is repositioned in flight for added control. We present recent results in arm motions that achieve increased flight stability without and with different load masses attached to the end-effectors. Our test flight results indicate that we can accurately model and control our aerial vehicle when both moving the manipulators and interacting with target objects.
This Paper Is Included in the Proceedings of the 11th Usenix Symposium on Networked Systems Design and Implementation (nsdi '14). Netcheck: Network Diagnoses from Blackbox Traces Netcheck: Network Diagnoses from Blackbox Traces

This paper introduces NetCheck, a tool designed to diagnose network problems in large and complex applications. NetCheck relies on blackbox tracing mechanisms, such as strace, to automatically collect sequences of network system call invocations generated by the application hosts. NetCheck performs its diagnosis by (1) totally ordering the distributed set of input traces, and by (2) utilizing a network model to identify points in the totally ordered execution where the traces deviated from expected network semantics. Our evaluation demonstrates that NetCheck is able to diagnose failures in popular and complex applications without relying on any application-or network-specific information. For instance, NetCheck correctly identified the existence of NAT devices, simultaneous network dis-connection/reconnection, and platform portability issues. In a more targeted evaluation, NetCheck correctly detects over 95% of the network problems we found from bug trackers of projects like Python, Apache, and Ruby. When applied to traces of faults reproduced in a live network , NetCheck identified the primary cause of the fault in 90% of the cases. Additionally, NetCheck is efficient and can process a GB-long trace in about 2 minutes.
BeatJockey: A New Tool for Enhancing DJ Skills

We present BeatJockey, a prototype interface which makes use of Audio Mosaicing (AM), beat-tracking and machine learning techniques, for supporting Diskjockeys (DJs) by proposing them new ways of interaction with the songs on the DJ’s playlist. This prototype introduces a new paradigm to DJing in which the user has the capability to mix songs interacting with beat-units that accompany the DJ’s mix. For this type of interaction, the system suggests song slices taken from songs selected from a playlist, which could go well with the beats of whatever master song is being played. In addition the system allows the synchronization of multiple songs, thus permitting exible, coherent and rapid progressions in the DJ’s mix. BeatJockey uses the Reactable, a musical tangible user interface (TUI), and it has been designed to be used by all DJs regardless of their level of expertise, as the system helps the novice while bringing new creative opportunities to the expert.
The simultaneous binding of two double-stranded DNA molecules by Escherichia coli RecA protein.

We have characterized the double-stranded DNA (dsDNA) binding properties of RecA protein, using an assay based on changes in the fluorescence of 4',6-diamidino-2-phenylindole (DAPI)-dsDNA complexes. Here we use fluorescence, nitrocellulose filter-binding, and DNase I-sensitivity assays to demonstrate the binding of two duplex DNA molecules by the RecA protein filament. We previously established that the binding stoichiometry for the RecA protein-dsDNA complex is three base-pairs per RecA protein monomer, in the presence of ATP. In the presence of ATPgammaS, however, the binding stoichiometry depends on the MgCl2 concentration. The stoichiometry is 3 bp per monomer at low MgCl2 concentrations, but changes to 6 bp per monomer at higher MgCl2 concentrations, with the transition occurring at approximately 5 mM MgCl2. Above this MgCl2 concentration, the dsDNA within the RecA nucleoprotein complex becomes uncharacteristically sensitive to DNase I digestion. For these reasons we suggest that, at the elevated MgCl2 conditions, the RecA-dsDNA nucleoprotein filament can bind a second equivalent of dsDNA. These results demonstrate that RecA protein has the capacity to bind two dsDNA molecules, and they suggest that RecA or RecA-like proteins may effect homologous recognition between intact DNA duplexes.
Autonomous Dialogue for Interactive Story Telling

We are investigating techniques for supporting autonomous dialogue in interactive story telling. That is, instead of writing a script for every possible sequence of events, we would like to develop an approach in which story characters have more autonomy in deciding what to say when. We describe our current research on applying dialogue games theory to interactive story telling. We illustrate the theory by analyzing a segment of dialogue from Goldilocks and the Three Bears. We conclude that this theory may be relevant to supporting autonomous dialogue in two respects. First, the set of possible dialogue moves at any point in story time is constrained in part by dialogue game conventions. Second, dialogue games can be exploited by the author to contribute to story telling effects.
06 06 36 6 v 1 1 4 Ju n 20 06 Antenna-Coupled TES Bolometers for CMB Polarimetry

We have developed a completely lithographic antenna-coupled bolometer for CMB polarimetry. The necessary components of a millimeter wave radiometer — a beam forming element, a band defining filter, and the TES detectors — are fabricated on a silicon chip with photolithography. The densely populated antennas allow a very efficient use of the focal plane area. We have fabricated and characterized a series of prototype devices. We find that their properties, including the frequency and angular responses, are in good agreement with the theoretical expectations. The devices are undergoing optimization for upcoming CMB experiments.
Video-Based Tracking, Learning, and Recognition Method for Multiple Moving Objects

This paper presents an extended Markov chain Monte Carlo (MCMC) method for tracking and an extended hidden Markov model (HMM) method for learning/recognizing multiple moving objects in videos with jittering backgrounds. A graphical user interface (GUI) with enhanced usability is also proposed. Previous MCMC and HMM-based methods are known to suffer performance impairments, degraded tracking and recognition accuracy, and higher computation costs when challenged with appearance and trajectory changes such as occlusion, interaction, and varying numbers of moving objects. This paper proposes a cost reduction method for the MCMC approach by taking moves, i.e., birth and death, out of the iteration loop of the Markov chain when different moving objects interact. For stable and robust tracking, an ellipse model with stochastic model parameters is used. Moreover, our HMM method integrates several different modules in order to cope with multiple discontinuous trajectories. The GUI proposed herein offers an auto-allocation module of symbols from images and a hand-drawing module for efficient trajectory learning and for interest trajectory addition. Experiments demonstrate the advantages of our method and GUI in tracking, learning, and recognizing spatiotemporal smooth and discontinuous trajectories.
Prognostic implication of Ecto‐5′‐nucleotidase activity in acute lymphoblastic leukemia

Ecto‐5′‐nucleotidase (5′‐N) activity was determined in 191 patients (71 children and 120 adults) with acute leukemia. Elevated values for 5′‐N were registered in common acute lymphoblastic leukemia (ALL), but blast cells of T‐cell ALL (T‐ALL) and common ALL antigen‐negative non‐T‐ALL had low enzyme activity comparable with the values of acute non‐lymphocytic leukemia. Dependence of remission duration on 5′‐N activity was analyzed in 74 adults with ALL, treated similarly in a prospective multicenter trial. The remission curves for ALL patients with 5′‐N activity lower than 10 nmol/h × 106 cells were substantially and significantly better than those of patients with high activity (> 10 nmol/h × 106 cells). This difference was also evident in the immunologic subclass common ALL. Statistical evaluation showed that an interaction between immunologic subtype of the blast cells and their 5′‐N activity had prognostic significance for remission duration. In addition to the independent factor, initial age, this interaction was also prognostic for survival.
Chlorhexidine gluconate, its properties and applications in endodontics

The major objective in endodontic therapy is to disinfect the entire root canal system. This requires that the pulpal content be eliminated as sources of infection. This goal may be accomplished by mechanical instrumentation and chemical irrigation, in conjunction with medication of the root canal between treatment sessions. Microorganisms and their by-products are considered to be the major cause of pulpal and periradicular pathosis. In order to reduce or eliminate bacteria from the root canal system, various irrigants have been used during treatment. Chlorhexidine is a cationic solution which can be used during treatment. It has a wide range of antimicrobial activity. Furthermore, because of its cationic structure, chlorhexidine has a unique property named substantivity. The purpose of this paper is to review different aspects of chlorhexidine in endodontics.
Red Cell Membrane Structure and Ion Transport

The red cell in man is a biconcave disk, some 8.4/z in diameter, 2.4 # thick at its widest portion, and 1/z thick at its narrowest. I t is bounded by a membrane primarily composed of protein and lipid, the latter sufficient in amount to cover the red cell with a layer two molecules thick. The lipid layer is bounded on the outside, and possibly on the inside, by a layer of protein. The thickness of the membrane is not known accurately since the most reliable studies, those made with the electron microscope and by optical refraction, are necessarily made with dried material. The best estimates of membrane thickness lead to values of the order of 100/~. Within the human red cell, there is a high K concentration, 143 mu/ l i te r cell water, and a low Na concentration, 13.9 rn~/liter cell water. In the environment, the situation is reversed, since plasma contains 5.0 mM K and 154 mM Na/li ter plasma water (1-3). The present paper is concerned with the role of the cellular membrane in the creation and maintenance of these sharp differences in ionic composition across a barrier that is only a few molecules thick, a problem common to a wide variety of living cells. The conclusions are based on studies carried out in this laboratory in company with a number of associates, including R. Villegas, D. H. P. Streeten, V. Sidel, C. V. Paganelli, D. Goldstein, G. L. Gold, T. J. Gill, J. Evans, and T. C. Barton. The passage of alkali cations across the red cell membrane is very Slow, 3.1 rnM Na and 2.1 m_M K/l i ter cell hour (1, 2). In the case of the principal intracellular cation, K, this corresponds to a half-time for exchange of 31 hours. In contrast, C1, the principal anion, enters the red cell freely and exchanges with a half-time of 0,24 seconds (4). Since the electrophoretic mobilities of these two ions are closely similar, this difference is commonly interpreted in terms of a positive charge barrier in the channels which connect the interior of the cell with its environment. The charge density required to produce this 5 X 10Lfold difference in rates of entrance may be calculated approximately according to the equations given by Meyer and Sievers (5). This calculation is independent of the dimensions of the channels through which the ions are presumed to pass, and leads to a charge density within the channels of 106 M/liter. Since water is present at a concentration somewhat less than 55 M/liter, the charge density of 106 M/liter is clearly impossible of achievement. However, as Sollner has pointed out (6), in the limit when the channels are Small enough, a single positive charge will suffice to block the
Maintaining Healthy Behavior Change Through Ubiquitous Sensing and Persuasive Feedback – A Pilot Study

Personal informatics through mobile phone sensing can play an important role in influencing healthy behavior. We study three systems in the field by prototyping upon current technologies with psychological methods. We study how different feedback and design technologies can influence an individual to maintain behavior change and to make behavior change actionable. ACM Classification: H5.2 [Information interfaces]: User Interfaces, H1.2 [User-Machine Systems]: Software psychology General terms: Design, Experimentation
Joint Action: Mental Representations, Shared Information and General Mechanisms for Coordinating with Others

In joint action, multiple people coordinate their actions to perform a task together. This often requires precise temporal and spatial coordination. How do co-actors achieve this? How do they coordinate their actions toward a shared task goal? Here, we provide an overview of the mental representations involved in joint action, discuss how co-actors share sensorimotor information and what general mechanisms support coordination with others. By deliberately extending the review to aspects such as the cultural context in which a joint action takes place, we pay tribute to the complex and variable nature of this social phenomenon.
Feasibility and applications of non-invasive laser photogrammetry on free-ranging coastal dolphins

Morphometric data plays a pivotal role in understanding key life history traits to elucidate biological, ecological and evolutionary processes. Obtaining morphometric data from free-ranging cetaceans is difficult, as traditional methods rely on either post-mortem or highly invasive techniques. The present study evaluated the feasibility of remote laser photogrammetry as a non-invasive technique to obtain morphometric data on free-ranging coastal dolphins. First, simulation models and post-mortem specimens were used to investigate potential sources of measurement error and quantify their influence on the accuracy and precision of the morphometric data. These sources include horizontal angle, distance, and body curvature. Second, to demonstrate the potential applications of this technique, laser photogrammetry measurements were obtained during boat-based photo identification surveys on Indo-Pacific bottlenose dolphins (Tursiops aduncus) from Western Australia (Bunbury, Shark Bay and Mandurah). Laser-derived, blowhole-to-dorsal fin (BH-DF) measurements were obtained from individuals of known ages in Bunbury (N=103) and Shark Bay (N=76), in addition to individuals in Mandurah (N=28). Our laser-derived measurement data facilitated the development of population growth curves in conjunction with longitudinal demographic data from Bunbury (~10 years) and Shark Bay (~33 years). These growth curves characterise not only the relationship between age and length, but also the significant morphological differences between these geographically-isolated populations. This study demonstrates the value of remote laser photogrammetry as an effective tool to investigate individual and population-based growth and life-history parameters. This non-invasive technique will provide unique opportunities to better understand the ecological, demographic and life-history characteristics of a population and so better inform conservation management strategies for free-ranging cetacean populations.